522 citations as recorded by crossref.

1. The Verification of Land Cover Datasets with the Geo-Tagged Natural Scene Images L. Cui et al. 10.3390/ijgi11110567
2. Improved Fine-Scale Tropical Forest Cover Mapping for Southeast Asia Using Planet-NICFI and Sentinel-1 Imagery F. Yang et al. 10.34133/remotesensing.0064
3. Soil moisture plays an increasingly important role in constraining vegetation productivity in China over the past two decades G. Qi et al. 10.1016/j.agrformet.2024.110193
4. Deep-learning spatial principles from deterministic chemical transport models for chemical reanalysis: an application in China for PM<sub>2.5</sub> B. Lyu et al. 10.5194/gmd-15-1583-2022
5. Mapping annual center-pivot irrigated cropland in Brazil during the 1985–2021 period with cloud platforms and deep learning X. Liu et al. 10.1016/j.isprsjprs.2023.10.007
6. Runoff changes in the major river basins of China and their responses to potential driving forces L. Yang et al. 10.1016/j.jhydrol.2022.127536
7. Fine-Resolution Forest Height Estimation by Integrating ICESat-2 and Landsat 8 OLI Data with a Spatial Downscaling Method for Aboveground Biomass Quantification Y. Wang et al. 10.3390/f14071414
8. Spatio-Temporal Heterogeneity of the Ecological Environment and Its Response to Land Use Change in the Chushandian Reservoir Basin Y. Fang et al. 10.3390/su16041385
9. Water Deficit Caused by Land Use Changes and Its Implications on the Ecological Protection of the Endorheic Dalinor Lake Watershed in Inner Mongolia, China L. Wang et al. 10.3390/w15162882
10. Construction, assessment, and protection of green infrastructure networks from a dynamic perspective: A case study of Dalian City, Liaoning Province, China L. Lyu et al. 10.1016/j.ufug.2024.128545
11. Spatiotemporal Patterns of Heavy-Metal Pollution in Coastal Pinqing Lagoon (Southern China): Anthropogenic and Hydrological Effect G. Huang et al. 10.3390/w15173126
12. Spatial and temporal variation of multiple eco-environmental indicators in Erhai Lake Basin of China under land use transitions Y. Dong et al. 10.1007/s11356-022-23279-z
13. The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests Y. Zhang et al. 10.1080/15481603.2024.2345438
14. Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019 Z. Huang et al. 10.3390/su151511985
15. Comprehensive Representations of Subpixel Land Use and Cover Shares by Fusing Multiple Geospatial Datasets and Statistical Data with Machine-Learning Methods Y. Chen et al. 10.3390/land13111814
16. Urban heat vulnerability: A dynamic assessment using multi-source data in coastal metropolis of Southeast China C. Wu et al. 10.3389/fpubh.2022.989963
17. The Association between Carbon Emission and Urban Spatial Form—A Study of Zhuhai, China Y. Zhang et al. 10.3390/land12030720
18. Assessing urban wetlands dynamics in Wuhan and Nanchang, China Y. Deng et al. 10.1016/j.scitotenv.2023.165777
19. Different Urbanization Levels Lead to Divergent Responses of Spring Phenology C. Dang et al. 10.14358/PERS.23-00008R2
20. A Comparison of Seven Medium Resolution Impervious Surface Products on the Qinghai–Tibet Plateau, China from a User’s Perspective K. Zheng et al. 10.3390/rs15092366
21. Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes L. Zhu et al. 10.3390/rs13163244
22. Simulating Runoff Formation in Mountain Crimea Rivers under Current and Projected Climate Conditions A. Kalugin et al. 10.1134/S0097807824701173
23. Driving forces behind the spatiotemporal heterogeneity of land-use and land-cover change: A case study of the Weihe River Basin, China J. Wu et al. 10.1007/s40333-023-0052-1
24. Evaluation of Remote Sensing Products for Wetland Mapping in the Irtysh River Basin K. Luo et al. 10.3390/geosciences14010014
25. Are there suitable global datasets for monitoring of land use and land cover in the tropics? Evidences from mainland Southeast Asia J. Zhai et al. 10.1016/j.gloplacha.2023.104233
26. Regional organic matter and mineral dust are the main components of atmospheric aerosols over the Nam Co station on the central Tibetan Plateau in summer H. Zhang et al. 10.3389/fenvs.2022.1055673
27. A dataset of annual surface water distribution in the growing season on the Mongolia Plateau from 2013 to 2022 K. LI et al. 10.11922/11-6035.csd.2022.0080.zh
28. Warming lake surface water temperatures in Lake Qiandaohu, China: Spatiotemporal variations, influencing factors and implications for the thermal structure Y. Li et al. 10.3389/fenvs.2022.995862
29. Regional estimation of dead fuel moisture content in southwest China based on a practical process-based model C. Fan et al. 10.1071/WF22209
30. Urban growth simulation and scenario projection for the arid regions using heuristic cellular automata X. Tang et al. 10.1038/s41598-024-71709-4
31. Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping Q. Shi et al. 10.34133/remotesensing.0078
32. Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset T. Zhao et al. 10.3390/rs15092285
33. Identifying Grassland Distribution in a Mountainous Region in Southwest China Using Multi-Source Remote Sensing Images Y. Yuan et al. 10.3390/rs14061472
34. Impact of road network expansion on landscape ecological risk and soil erosion sensitivity on the Luochuan Tableland of the Chinese Loess Plateau S. Yang & Z. Jin 10.1007/s10113-024-02202-x
35. Cropland inundation mapping in a mountain dominated region based on multi-resolution remotely sensed imagery and active learning for semantic segmentation H. Jiang et al. 10.1016/j.jhydrol.2024.131609
36. Dynamic multiobjective two-stage fuzzy stochastic strategy for optimal water allocation in inter-basin water division under changing environment: A case study of Hanjiang-to-Weihe water division in Shaanxi Province, China H. Zhang et al. 10.1016/j.jclepro.2024.142175
37. New Era for Geo-Parsing to Obtain Actual Locations: A Novel Toponym Correction Method Based on Remote Sensing Images S. Wang et al. 10.3390/rs14194725
38. Policy instruments as a trigger for urban sprawl deceleration: monitoring the stability and transformations of green areas K. Filepné Kovács et al. 10.1038/s41598-024-52637-9
39. HiLPD-GEE: high spatial resolution land productivity dynamics calculation tool using Landsat and MODIS data T. Shen et al. 10.1080/17538947.2023.2179675
40. Formation mechanism of ground fissures in the Kenyan Rift: tectonics, sediments, and erosion Z. Jia et al. 10.1007/s10064-024-03816-5
41. Spatial-temporal pattern of desertification in the Selenge River Basin of Mongolia from 1990 to 2020 S. Xu et al. 10.3389/fenvs.2023.1125583
42. A Study on Urban-Scale Building, Tree Canopy Footprint Identification and Sky View Factor Analysis with Airborne LiDAR Remote Sensing Data S. An 10.3390/rs15153910
43. Urban water bodies in China: Spatial distribution patterns, temporal change characteristics, and relationship with economic development Y. Deng et al. 10.1016/j.ecolind.2023.111139
44. Prediction of the joint impacts of sea level rise and land development on distribution patterns of mangrove communities S. Liang et al. 10.1016/j.fecs.2023.100100
45. Fire Diurnal Cycle Derived from a Combination of the Himawari-8 and VIIRS Satellites to Improve Fire Emission Assessments in Southeast Australia Y. Zheng et al. 10.3390/rs13152852
46. Deep learning classification of winter wheat from Sentinel optical-radar image time series in smallholder farming areas X. Sun et al. 10.1016/j.asr.2024.11.038
47. Satellite data-driven multi-objective simulation-optimization modeling for water-environment-agriculture nexus in an arid endorheic lake basin J. Song et al. 10.1016/j.jhydrol.2022.128207
48. Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels Z. Li et al. 10.1016/j.isprsjprs.2022.08.008
49. Decline in Planting Areas of Double-Season Rice by Half in Southern China over the Last Two Decades W. Zhu et al. 10.3390/rs16030440
50. Mathematical Model Guided Interpolation for Mapping SRTM Understory Terrain by Integrating ICESat-2 Data J. Huang et al. 10.1109/LGRS.2024.3412396
51. Mapping evergreen forests using new phenology index, time series Sentinel-1/2 and Google Earth Engine R. Li et al. 10.1016/j.ecolind.2023.110157
52. Regimes of global and national oil palm cultivations from 2001 to 2018 H. Yu et al. 10.1016/j.gloenvcha.2024.102845
53. A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat M. Witjes et al. 10.7717/peerj.13573
54. Dual Data- and Knowledge-Driven Land Cover Mapping Framework for Monitoring Annual and Near-Real-Time Changes Z. Du et al. 10.1109/TGRS.2024.3430981
55. Spatiotemporal Variation in Ecosystem Health Caused by Land Use and Land Cover Changes in Pakistan H. Zhao & X. Deng 10.34133/ehs.0161
56. Evaluation of six global high-resolution global land cover products over China Y. Wang et al. 10.1080/17538947.2023.2301673
57. A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types X. Huang et al. 10.5194/essd-16-3307-2024
58. Very Rapid Forest Cover Change in Sichuan Province, China: 40 Years of Change Using Images From Declassified Spy Satellites and Landsat D. Song et al. 10.1109/JSTARS.2021.3121260
59. Changes in the Fine Composition of Global Forests from 2001 to 2020 H. Xu et al. 10.34133/remotesensing.0119
60. Contrastive Analysis and Accuracy Assessment of Three Global 30 m Land Cover Maps Circa 2020 in Arid Land Q. Bie et al. 10.3390/su15010741
61. Dynamic Earthquake-Induced Landslide Susceptibility Assessment Model: Integrating Machine Learning and Remote Sensing Y. Yang et al. 10.3390/rs16214006
62. A platform for land use and land cover data integration and trajectory analysis F. Zioti et al. 10.1016/j.jag.2021.102655
63. A dataset of urban built-up area and SDG 11.3.1 indicators for the Beijing-Tianjin-Hebei region, China from 2000 to 2020 L. SHU et al. 10.11922/11-6035.noda.2021.0014.zh
64. An optimal method for validating satellite-derived land surface phenology using in-situ observations from national phenology networks Y. Ye et al. 10.1016/j.isprsjprs.2022.09.018
65. Assessment of vegetation restoration impacts on soil erosion control services based on a biogeochemical model and RUSLE P. Li et al. 10.1016/j.ejrh.2024.101830
66. Comparison and Assessment of Different Land Cover Datasets on the Cropland in Northeast China P. Cui et al. 10.3390/rs15215134
67. MLC30: A New 30 m Land Cover Dataset for Myanmar From 1990 to 2020 Using Training Sample Migration Framework H. Xing et al. 10.1109/JSTARS.2023.3328309
68. Research on the sustainability of "greening" process in the Mu Us Sandy Land based on the spatiotemporal stability of ecological land Q. Zhang et al. 10.1371/journal.pone.0292469
69. Analyzing the Spatiotemporal Pattern and Interaction of SDGs for Sustainable Development in Inner Mongolia M. Yan et al. 10.3390/su16166899
70. An Optimal Transport Based Global Similarity Index for Remote Sensing Products Comparison Y. Tan et al. 10.3390/rs14112546
71. Assessment of fine-resolution land cover mapping products in the Changbai Mountain Range, China L. Zhao et al. 10.1080/27669645.2024.2414480
72. Monitoring Cropland Abandonment in Hilly Areas with Sentinel-1 and Sentinel-2 Timeseries S. He et al. 10.3390/rs14153806
73. Geographical Supervision Correction for Remote Sensing Representation Learning W. Li et al. 10.1109/TGRS.2022.3202499
74. User-Aware Evaluation for Medium-Resolution Forest-Related Datasets in China: Reliability and Spatial Consistency X. Peng et al. 10.3390/rs15102557
75. Distribution and Storage Characteristics of Soil Organic Carbon in Tidal Wetland of Dandou Sea, Guangxi M. Wang et al. 10.3390/atmos15040431
76. Evolution of spatiotemporal patterns in vegetation net primary productivity and the driving forces on the Loess Plateau S. Mao & Z. Shangguan 10.3389/fenvs.2023.1134917
77. Integrating a multi-variable scenario with Attention-LSTM model to forecast long-term coastal beach erosion X. Huang et al. 10.1016/j.scitotenv.2024.176257
78. A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing Y. Wang et al. 10.1016/j.isprsjprs.2023.11.014
79. Developing a Land Continuous Variable Estimator to Generate Daily Land Products From Landsat Data H. Ma et al. 10.1109/TGRS.2021.3121272
80. Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks W. Li et al. 10.3390/rs15164071
81. Comparative Validation and Misclassification Diagnosis of 30-Meter Land Cover Datasets in China X. Xu et al. 10.3390/rs16224330
82. Urban expansion, economic development, and carbon emissions: Trends, patterns, and decoupling in mainland China’s provincial capitals (1985–2020) J. Zhao et al. 10.1016/j.ecolind.2024.112777
83. Global hydro-environmental lake characteristics at high spatial resolution B. Lehner et al. 10.1038/s41597-022-01425-z
84. Spatio-Temporal Patterns of Land-Use Changes and Conflicts between Cropland and Forest in the Mekong River Basin during 1990–2020 J. Zhai et al. 10.3390/land11060927
85. A dataset of 30 m-resolution land cover fusion in Yangtze River Delta in 2015 Y. CHEN et al. 10.11922/11-6035.csd.2021.0040.zh
86. Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China L. Wang et al. 10.1016/j.jag.2021.102616
87. Mapping Cropland Abandonment in Mountainous Areas in China Using the Google Earth Engine Platform S. Xu et al. 10.3390/rs15041145
88. Spatio-Temporal Evolution and Multi-Scenario Prediction of Ecosystem Carbon Storage in Chang-Zhu-Tan Urban Agglomeration Based on the FLUS-InVEST Model W. Sun & X. Liu 10.3390/su16167025
89. Soil Moisture Retrieval From Sentinel-1 and Sentinel-2 Data Using Ensemble Learning Over Vegetated Fields L. Wang & Y. Gao 10.1109/JSTARS.2023.3242264
90. The Different Impacts of Climate Variability and Human Activities on NPP in the Guangdong–Hong Kong–Macao Greater Bay Area Y. Wu et al. 10.3390/rs14122929
91. Refining historical burned area data from satellite observations V. Fernández-García & C. Kull 10.1016/j.jag.2023.103350
92. Active landslide detection using integrated remote sensing technologies for a wide region and multiple stages: A case study in southwestern China H. Lu et al. 10.1016/j.scitotenv.2024.172709
93. The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products M. Hou et al. 10.1007/s11427-021-2143-3
94. IrriMap_CN: Annual irrigation maps across China in 2000–2019 based on satellite observations, environmental variables, and machine learning C. Zhang et al. 10.1016/j.rse.2022.113184
95. Machine Learning for Global Bioclimatic Classification: Enhancing Land Cover Prediction through Random Forests M. Sparey et al. 10.3390/atmos15060700
96. Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data I. Bychkov & A. Popova 10.3390/f14101995
97. Rural agriculture largely reduces the urban heating effects in China: A tale of the three most developed urban agglomerations Z. Yan & D. Zhou 10.1016/j.agrformet.2023.109343
98. Water yield of the Volta Basin under future land use and climate change D. Ocloo 10.1007/s10668-023-03977-5
99. Mapping the Distribution and Dynamics of Coniferous Forests in Large Areas from 1985 to 2020 Combining Deep Learning and Google Earth Engine L. Liu et al. 10.3390/rs15051235
100. Road network expansion and its impact on landscape patterns in the Dongzhi tableland of the Chinese Loess Plateau S. Yang et al. 10.1007/s11442-023-2189-4
101. Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images K. Xu et al. 10.1109/TBDATA.2022.3196314
102. Simulation of Land Use Based on Multiple Models in the Western Sichuan Plateau X. Yu et al. 10.3390/rs15143629
103. Spatial Simulation and Prediction of Land Use/Land Cover in the Transnational Ili-Balkhash Basin J. Kou et al. 10.3390/rs15123059
104. Land Use and Land Cover Mapping in China Using Multimodal Fine-Grained Dual Network S. Liu et al. 10.1109/TGRS.2023.3285912
105. A higher accuracy forest cover product of China by fusing heterogeneous forest-related datasets using Dempster-Shafer theory X. Peng et al. 10.1080/17538947.2024.2368706
106. High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales L. Estes et al. 10.3389/frai.2021.744863
107. Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow Y. Zhou et al. 10.3390/land12081527
108. Spatial Heterogeneity of Vegetation Resilience Changes to Different Drought Types Y. Zhang et al. 10.1029/2022EF003108
109. Simulation of land-cover change in Jing-Jin-Ji region under different scenarios of SSP-RCP Z. Fan 10.1007/s11442-022-1955-z
110. Do more efficient transport facilities improve habitat quality? Evidence from China H. Bai & L. Weng 10.1016/j.scs.2024.105243
111. Tracking the historical urban development by classifying Landsat MSS data with training samples migrated across time and space Z. Feng et al. 10.1080/17538947.2023.2230951
112. The impact of urban-rural residents’ life quality gap on the cultivated land transfer W. Wang et al. 10.1016/j.landusepol.2024.107402
113. Quantifying the influence of long-term overexploitation on deep groundwater resources across Cangzhou in the North China Plain using InSAR measurements L. Bai et al. 10.1016/j.jhydrol.2021.127368
114. Changes in Vegetation NDVI and Its Response to Climate Change and Human Activities in the Ferghana Basin from 1982 to 2015 H. Zhang et al. 10.3390/rs16071296
115. Spatial Consistency and Accuracy Analysis of Multi-Source Land Cover Products on the Southeastern Tibetan Plateau, China B. Zhang et al. 10.3390/rs16173219
116. Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits C. Wang et al. 10.1016/j.jag.2023.103235
117. Characterizing and predicting carbon emissions from an emerging land use perspective: A comprehensive review H. Luo et al. 10.1016/j.uclim.2024.102141
118. Hydro-Climatic and Vegetation Dynamics Spatial-Temporal Changes in the Great Lakes Depression Region of Mongolia B. Dorjsuren et al. 10.3390/w15213748
119. Global mapping of forest clumping index based on GEDI canopy height and complementary data X. Zhao et al. 10.1016/j.isprsjprs.2024.01.014
120. An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites J. Wang et al. 10.1016/j.rse.2022.113429
121. Spatiotemporal Conflict Analysis and Prediction of Long Time Series Land Cover Changes in the Black Soil Region of Northeast China Using Remote Sensing and GIS D. Ma et al. 10.3390/ijgi12070271
122. Spatiotemporal characteristics and the national variations of borderland use change in Laos within the geopolinomical context Y. Wang & C. Xiao 10.3389/ffgc.2023.1223605
123. Generating 2m fine-scale urban tree cover product over 34 metropolises in China based on deep context-aware sub-pixel mapping network D. He et al. 10.1016/j.jag.2021.102667
124. Flood Monitoring by Integrating Normalized Difference Flood Index and Probability Distribution of Water Bodies F. Xue et al. 10.1109/JSTARS.2022.3176388
125. Annually Spatial Pattern Dynamics of Forest Types under a Rapid Expansion of Impervious Surfaces: A Case Study of Hangzhou City Y. Zhu et al. 10.3390/f15010044
126. Spatiotemporal evolution and future simulation of land use/land cover in the Turpan-Hami Basin, China Y. Chen et al. 10.1007/s40333-024-0086-z
127. Identification of the Spring Green-Up Date Derived from Satellite-Based Vegetation Index over a Heterogeneous Ecoregion J. Wu et al. 10.3390/rs14174349
128. Diversity and conservation of higher plants in Northwest Yunnan-Southeast Tibet W. Li et al. 10.1016/j.gecco.2023.e02396
129. Map of Land Cover Agreement: Ensambling Existing Datasets for Large-Scale Training Data Provision G. Bratic et al. 10.3390/rs15153774
130. Evaluation of neural network models for landslide susceptibility assessment Y. Yi et al. 10.1080/17538947.2022.2062467
131. A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency Y. Kang et al. 10.1080/15481603.2022.2143872
132. Analysis on Ecological Network Pattern Changes in the Pearl River Delta Forest Urban Agglomeration from 2000 to 2020 S. Wei et al. 10.3390/rs16203800
133. Improving Dryland Urban Land Cover Classification Accuracy Using a Classical Convolution Neural Network W. Luan et al. 10.3390/land12081616
134. Ecological Environment Evaluation Based on Remote Sensing Ecological Index: A Case Study in East China over the Past 20 Years S. Wang et al. 10.3390/su142315771
135. Adaptive Self-Paced Collaborative and 3-D Adversarial Multitask Network for Semantic Change Detection Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery D. Wen et al. 10.1109/JSTARS.2023.3348572
136. Evaluation of the upper lakes of the Erhai watershed in China based on water quality, land cover, and macrobenthic invertebrates W. Hu et al. 10.1007/s11356-023-29773-2
137. Oasis sustainability is related to water supply mode B. Chen et al. 10.1016/j.agwat.2023.108589
138. Spaceborne SAR Radiometric Cross-Calibration Considering Typical Scattering Effects in Building Areas M. Deng et al. 10.1109/TGRS.2024.3484163
139. Mapping the ratoon rice suitability region in China using random forest and recursive feature elimination modeling Y. Wang & Y. Li 10.1016/j.fcr.2023.109016
140. Recognizing Urban Functional Zones by GF-7 Satellite Stereo Imagery and POI Data Z. Sun et al. 10.3390/app13106300
141. Urban growth scenario projection using heuristic cellular automata in arid areas considering the drought impact X. Tang et al. 10.1007/s40333-024-0097-9
142. Perspective: Monitoring global forests using only structural metrics – problems and solutions from a savanna viewpoint P. Scogings 10.1016/j.foreco.2023.121381
143. Impacts of Land Use/Land Cover Distributions on Permafrost Simulations on Tibetan Plateau Y. Pan et al. 10.3390/rs15235586
144. Performance of hyperspectral data in predicting and mapping zinc concentration in soil W. Sun et al. 10.1016/j.scitotenv.2022.153766
145. Reliability and consistency assessment of land cover products at macro and local scales in typical cities W. Shi et al. 10.1080/17538947.2023.2181992
146. Potential of solar-induced chlorophyll fluorescence (SIF) to access long-term dynamics of soil salinity using OCO-2 satellite data and machine learning method R. Du et al. 10.1016/j.geoderma.2024.116855
147. Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data S. Wang et al. 10.3390/rs14236011
148. Consistency Analysis of Multi-Source Remote Sensing Land Cover Products in Arid Regions—A Case Study of Xinjiang S. Liu et al. 10.3390/land12122178
149. A full resolution deep learning network for paddy rice mapping using Landsat data L. Xia et al. 10.1016/j.isprsjprs.2022.10.005
150. Automatic Detection and Dynamic Analysis of Urban Heat Islands Based on Landsat Images N. Na et al. 10.3390/rs15164006
151. MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images Z. Tian et al. 10.1080/17538947.2022.2159552
152. Assessment of Semi-Automated Techniques for Crop Mapping in Chile Based on Global Land Cover Satellite Data M. Volke et al. 10.3390/rs16162964
153. CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey L. Zhang et al. 10.1016/j.compag.2024.108672
154. A patch filling method for thematic map refinement: a case study on forest cover mapping in the Greater Mekong Subregion and Malaysia S. Meng et al. 10.1080/15481603.2023.2252225
155. Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat M. Friedl et al. 10.3389/frsen.2022.894571
156. Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China Y. Liu et al. 10.1016/j.jag.2023.103265
157. A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine Y. Qichi et al. 10.1080/15481603.2023.2233756
158. Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 A. Yang et al. 10.3390/s23167158
159. Runoff and sediment effect of the soil-water conservation measures in a typical river basin of the Loess Plateau H. Yang et al. 10.1016/j.catena.2024.108218
160. Tracking annual changes of coastal aquaculture ponds in China during 1986–2021 P. Tian et al. 10.1016/j.aquaculture.2024.740965
161. Monitoring Surface Water Change in Northeast China in 1999–2020: Evidence from Satellite Observation and Refined Classification K. Liu et al. 10.1007/s11769-024-1411-3
162. Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery D. He et al. 10.1080/15481603.2022.2142727
163. Intercomparison and validation of five existing leaf chlorophyll content products over China X. Wang et al. 10.1016/j.jag.2024.103930
164. Contribution of Land Cover Classification Results Based on Sentinel-1 and 2 to the Accreditation of Wetland Cities X. Wang et al. 10.3390/rs15051275
165. Modification of Statistical Metric Biases in Large-Region and Long-Time-Series Landsat Dataset Due to Insufficient Observations L. Wang et al. 10.1109/TGRS.2023.3323319
166. Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions Z. Zhu et al. 10.3390/rs14051256
167. Multi-Tier Land Use and Land Cover Mapping Framework and Its Application in Urbanization Analysis in Three African Countries S. Shah Heydari et al. 10.3390/rs16142677
168. Comparison and Evaluation of Five Global Land Cover Products on the Tibetan Plateau Y. Pan et al. 10.3390/land13040522
169. FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping L. Yu et al. 10.1080/15481603.2022.2096184
170. Land use/cover and land degradation across the Eurasian steppe: Dynamics, patterns and driving factors Z. Du et al. 10.1016/j.scitotenv.2023.168593
171. Assessment of Forest Ecosystem Variations in the Lancang–Mekong Region by Remote Sensing from 2010 to 2020 J. Zhao et al. 10.3390/s23229038
172. Linking Land Use Land Cover change to global groundwater storage B. Dasgupta & P. Sanyal 10.1016/j.scitotenv.2022.158618
173. A High-Performance Automated Large-Area Land Cover Mapping Framework J. Zhang et al. 10.3390/rs15123143
174. Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. 10.1016/j.srs.2024.100152
175. Integration of ecological knowledge with Google Earth Engine for diverse wetland sampling in global mapping X. Huo et al. 10.1016/j.jag.2024.104249
176. Effects of land surface temperatures on vegetation phenology along urban–rural local climate zone gradients J. Xie et al. 10.1007/s10980-024-01856-6
177. High-resolution atmospheric mercury emission from open biomass burning in China: Integration of localized emission factors and multi-source finer resolution remote sensing data Z. Xu et al. 10.1016/j.envint.2023.108102
178. From center to outlying areas: Navigating built-up land dynamics along urban-rural gradients in Global South megaregions X. Liao et al. 10.1016/j.apgeog.2024.103419
179. Efficacy of the SDGSAT-1 glimmer imagery in measuring sustainable development goal indicators 7.1.1, 11.5.2, and target 7.3 S. Liu et al. 10.1016/j.rse.2024.114079
180. Changing characteristics, driving factors and future predictions of land use in the Weigan-Kuqa River Delta Oasis, China B. An et al. 10.1038/s41598-024-79539-0
181. Progress and challenges in remotely sensed terrestrial carbon fluxes T. Wang et al. 10.1080/10095020.2024.2336599
182. Canopy active fuel loads estimation with C-band PolSAR by combining polarization decomposition and vegetation scattering model: a case study in Southwestern China Y. Li & B. He 10.1080/01431161.2024.2347524
183. Urban Sprawl and Changes in Land-Use Efficiency in the Beijing–Tianjin–Hebei Region, China from 2000 to 2020: A Spatiotemporal Analysis Using Earth Observation Data M. Zhou et al. 10.3390/rs13152850
184. Do adaptive policy adjustments deliver ecosystem-agriculture-economy co-benefits in land degradation neutrality efforts? Evidence from southeast coast of China C. Jiang et al. 10.1007/s10661-023-11821-6
185. Mapping Blue and Red Color-Coated Steel Sheet Roof Buildings over China Using Sentinel-2A/B MSIL2A Images A. Samat et al. 10.3390/rs14010230
186. Responses of vegetation to hydroclimatic variables on the Loess Plateau after large scale vegetation restoration H. Feng & J. Jin 10.1002/hyp.15283
187. Comprehensive assessment of potential forestation land in China considering factors of vegetation resilience and top vegetation succession Z. Zhang et al. 10.1016/j.ecolind.2024.112476
188. Relationship between Urban Forest Fragmentation and Urban Shrinkage in China Differentiated by Moisture and Altitude J. Zhou et al. 10.3390/f15091522
189. Automatic impervious surface mapping in subtropical China via a terrain-guided gated fusion network Z. Li et al. 10.1016/j.jag.2023.103608
190. A Novel Knowledge-Driven Automated Solution for High-Resolution Cropland Extraction by Cross-Scale Sample Transfer W. Zhang et al. 10.1109/TGRS.2023.3299956
191. Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing X. Zhang et al. 10.1016/j.jag.2024.104268
192. Improved estimation of the underestimated GEDI footprint LAI in dense forests L. Liang et al. 10.1080/10095020.2023.2286377
193. Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985–2020 Using Fine-Resolution Remote Sensing Datasets W. Liu et al. 10.3390/rs16060978
194. Assessing global pine wilt disease risk based on ensemble species distribution models N. Aierken et al. 10.1016/j.ecolind.2024.112691
195. Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution Y. Lu et al. 10.1038/s41597-023-02005-5
196. Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities G. Dong et al. 10.1016/j.scitotenv.2023.167090
197. Dynamic and attribution analysis of sandy lands in theBeijing-Tianjin sandstorm source region during 2000–2018 X. Li et al. 10.1360/TB-2022-1213
198. Spatial and temporal changes and development predictions of urban green spaces in Jinan City, Shandong, China J. Wang et al. 10.1016/j.ecolind.2023.110373
199. Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data T. Zhang et al. 10.1109/TGRS.2024.3465590
200. An automatically recursive feature elimination method based on threshold decision in random forest classification C. Chen et al. 10.1080/10095020.2024.2387457
201. Temporal and Spatial Evolution Characteristics and Its Driving Mechanism of Land Use/Land Cover Change in Laos from 2000 to 2020 Y. Zhang et al. 10.3390/land11081188
202. Swin Transformer-Based Multiscale Attention Model for Landslide Extraction From Large-Scale Area M. Gao et al. 10.1109/TGRS.2024.3477910
203. RUSLE Model Evaluation of the Soil and Water Conservation Ratio of the Guizhou Province in China between 2000 and 2019 F. Fang et al. 10.3390/su14138219
204. GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method X. Zhang et al. 10.5194/essd-16-1353-2024
205. A 30-m gross primary production dataset from 2016 to 2020 in China S. Lin et al. 10.1038/s41597-024-03893-x
206. Long-Term Changes of Land Use and Land Cover in the Yangtze River Basin from 1990–2020 Landsat Data J. Yao & S. Jin 10.14358/PERS.22-00050R2
207. Spatial Relationship between Land Use Patterns and Ecosystem Services Value—Case Study of Nanjing M. Lu et al. 10.3390/land11081168
208. Urban green space in transition: A cross-continental perspective from eight Global North and South cities A. Derdouri et al. 10.1016/j.landurbplan.2024.105220
209. Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation C. Fan et al. 10.1080/15481603.2024.2324556
210. A dataset of land use/cover change with a resolution of 30m in the floodplain of the lower Yellow River from 1985 to 2020 F. YANG et al. 10.11922/11-6035.ncdc.2023.0005.zh
211. Mapping High-Resolution Global Impervious Surface Area: Status and Trends H. Ren et al. 10.1109/JSTARS.2022.3201380
212. Trend of Vegetation and Environmental Factors and Their Feedback in the Karst Regions of Southwestern China K. Huang et al. 10.3390/su142315941
213. Classification and Transition of Grassland in Qinghai, China, from 1986 to 2020 with Landsat Archives on Google Earth Engine P. He et al. 10.3390/land12091686
214. Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting C. Parracciani et al. 10.1080/15481603.2024.2302221
215. Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003–2018 S. Yang et al. 10.1016/j.ecoinf.2022.101776
216. A dataset of land use/land cover fusion in Guangxi, China in 2000, 2010 and 2020 X. HAO et al. 10.11922/11-6035.csd.2023.0186.zh
217. Solar-Induced Chlorophyll Fluorescence Trends and Mechanisms in Different Ecosystems in Northeastern China M. Guo et al. 10.3390/rs14061329
218. Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with Machine Learning Algorithms in China Z. Tang et al. 10.3390/rs14215487
219. Forestation at the right time with the right species can generate persistent carbon benefits in China H. Xu et al. 10.1073/pnas.2304988120
220. A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
221. Quantifying morphology evolutions of urban heat islands and assessing their heat exposure in a metropolis H. Zhao et al. 10.1016/j.scs.2024.105244
222. Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China M. Zhai et al. 10.1038/s41597-024-03704-3
223. Assessment of ensemble learning for object-based land cover mapping using multi-temporal Sentinel-1/2 images S. Xu et al. 10.1080/10106049.2023.2195832
224. An Erosion-Based Approach Using Multi-Source Remote Sensing Imagery for Grassland Restoration Patterns in a Plateau Mountainous Region, SW China G. Chen et al. 10.3390/rs15082047
225. Toward accurate mapping of 30-m time-series global impervious surface area (GISA) X. Huang et al. 10.1016/j.jag.2022.102787
226. Spatiotemporal analysis of land use changes and their trade-offs on the northern slope of the Tianshan Mountains, China H. Ma 10.3389/fevo.2022.1016774
227. Carbon emissions from global impervious surface expansion between 1985 and 2020 Z. Li et al. 10.1016/j.scitotenv.2024.175856
228. Automated in-season mapping of winter wheat in China with training data generation and model transfer G. Yang et al. 10.1016/j.isprsjprs.2023.07.004
229. Production of Annual Nighttime Light Based on De-Difference Smoothing Algorithm S. Zhang et al. 10.3390/rs16163013
230. Upscaling remote sensing inversion and dynamic monitoring of soil salinization in the Yellow River Delta, China Y. Li et al. 10.1016/j.ecolind.2023.110087
231. Mapping urban construction sites in China through geospatial data fusion: Methods and applications C. Zhang et al. 10.1016/j.rse.2024.114441
232. Feature Optimization-Based Machine Learning Approach for Czech Land Cover Classification Using Sentinel-2 Images C. Wang et al. 10.3390/app14062561
233. Land Use/Cover Change and Its Driving Mechanism in Thailand from 2000 to 2020 Y. Wang et al. 10.3390/land11122253
234. Reconstruction of 30 m Land Cover in the Qilian Mountains from 1980 to 1990 Based on Super-Resolution Generative Adversarial Networks X. Wang et al. 10.3390/rs16224252
235. A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery J. Yang et al. 10.1016/j.isprsjprs.2023.07.017
236. Greenspace coverage vs. enhanced vegetation index: Correlations with surface urban heat island intensity in different climate zones L. Liu & B. Zheng 10.1016/j.uclim.2024.102140
237. A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes L. Song et al. 10.1016/j.jag.2022.103152
238. Temporal Activity Patterns of Sympatric Species in the Temperate Coniferous Forests of the Eastern Qinghai-Tibet Plateau J. Jia et al. 10.3390/ani13071129
239. Impacts of land use and crop structure change on the value of ecosystem services in Hetao Irrigation District of China L. Yang et al. 10.1016/j.jclepro.2024.144113
240. Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain G. Jiang et al. 10.3390/rs15174254
241. Abandoned cropland mapping and its influencing factors analysis: A case study in the Beijing-Tianjin-Hebei region T. Zhang et al. 10.1016/j.catena.2024.107876
242. Mapping Paddy Rice in Rice–Wetland Coexistence Zone by Integrating Sentinel-1 and Sentinel-2 Data D. Huang et al. 10.3390/agriculture14030345
243. A systematic review of studies involving canopy layer urban heat island: Monitoring and associated factors Y. Li et al. 10.1016/j.ecolind.2023.111424
244. FieldSeg-DA2.0: Further enhancing the spatiotemporal transferability of an individual arable field (IAF) extraction network using multisource remote sensing and land cover data C. Tian et al. 10.1016/j.compag.2024.109050
245. A Weakly Supervised Semantic Segmentation Framework for Medium-Resolution Forest Classification With Noisy Labels and GF-1 WFV Images X. Peng et al. 10.1109/TGRS.2024.3404953
246. Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method H. Wu et al. 10.1016/j.jag.2021.102475
247. The spatiotemporal change of cropland and its impact on vegetation dynamics in the farming-pastoral ecotone of northern China D. Wuyun et al. 10.1016/j.scitotenv.2021.150286
248. Toward sustainable land use in China: A perspective on China’s national land surveys X. Chen et al. 10.1016/j.landusepol.2022.106428
249. Refined assessment of space-time changes, influencing factors and socio-economic impacts of the terrestrial ecosystem quality: A case study of the GBA Y. Wen et al. 10.1016/j.jenvman.2023.118869
250. High-Resolution Mapping of Gross Primary Production in Northeast China Using Landsat-8/9 and Sentinel-2 A/B X. Ma et al. 10.1109/JSTARS.2024.3432581
251. Innovative reconstruction and evaluation of forest refinement datasets by combining multi-source data: A case study of Guangdong Province Y. Li et al. 10.1016/j.ecolind.2024.112788
252. Data mining of urban soil spectral library for estimating organic carbon Y. Hong et al. 10.1016/j.geoderma.2022.116102
253. The Associations of Green Spaces with Older Adults' Mental Health in Perspective of Spatiality, Sociality and Historicality Y. Yafei et al. 10.5814/j.issn.1674-764x.2023.02.008
254. The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. 10.1016/j.scitotenv.2023.166820
255. Improving Reliability in Reconstruction of Landsat EVI Seasonal Trajectory over Cloud-Prone, Fragmented, and Mosaic Agricultural Landscapes W. Xue et al. 10.3390/rs15194673
256. Linearly interpolating missing values in time series helps little for land cover classification using recurrent or attention networks X. Che et al. 10.1016/j.isprsjprs.2024.04.021
257. Dynamic simulation and projection of ESV changes in arid regions caused by urban growth under climate change scenarios X. Tang et al. 10.1007/s10661-024-12559-5
258. A novel index combining temperature and vegetation conditions for monitoring surface mining disturbance using Landsat time series T. He et al. 10.1016/j.catena.2023.107235
259. SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data Z. Li et al. 10.5194/essd-15-4749-2023
260. Temporal—Spatial Changes in Vegetation Coverage under Climate Change and Human Activities: A Case Study of Central Yunnan Urban Agglomeration, China Y. Li et al. 10.3390/su16020661
261. Application of Transformer Models to Landslide Susceptibility Mapping S. Bao et al. 10.3390/s22239104
262. Measuring the cooling effects of green cover on urban heat island effects using Landsat satellite imagery N. Na et al. 10.1080/17538947.2024.2358867
263. The rapid vegetation line shift in response to glacial dynamics and climate variability in Himalaya between 2000 and 2014 D. Bandyopadhyay et al. 10.1007/s10661-022-10577-9
264. A Framework for Fine-Grained Land-Cover Classification Using 10 m Sentinel-2 Images W. Zhang et al. 10.3390/rs16020390
265. Future Reference Evapotranspiration Trends in Shandong Province, China: Based on SAO-CNN-BiGRU-Attention and CMIP6 Y. Wang et al. 10.3390/agriculture14091556
266. Simulating the hydrological impacts of intensive soil and water conservation measures in the Yellow River basin using a distributed physically-based model Z. Yan et al. 10.1016/j.jhydrol.2023.129936
267. The future of global land change monitoring X. Song 10.1080/17538947.2023.2224586
268. Remote Sensing Mapping and Analysis of Spatiotemporal Patterns of Land Use and Cover Change in the Helong Region of the Loess Plateau Region (1986–2020) J. Li et al. 10.3390/rs16193738
269. A non‐grain production on cropland spatiotemporal change detection method based on Landsat time‐series data T. He et al. 10.1002/ldr.5113
270. Improving the Interpretability and Reliability of Regional Land Cover Classification by U-Net Using Remote Sensing Data X. Wang et al. 10.1007/s11769-022-1315-z
271. Mapping open-pit mining area in complex mining and mixed land cover zone using Landsat imagery Y. Wang et al. 10.1016/j.jag.2024.103782
272. Long-Term Analysis of Regional Vegetation Correlation with Climate and Phenology in the Midsection of Maowusu Sandland Z. Li et al. 10.3390/w16050623
273. Do establishment of protected areas and implementation of regional policies both promote the forest NPP? Evidence from Wuyi Mountain in China based on PSM-DID M. Ye et al. 10.1016/j.gecco.2024.e03210
274. A national extent map of cropland and grassland for Switzerland based on Sentinel-2 data R. Pazúr et al. 10.5194/essd-14-295-2022
275. Quantifying the accuracies of six 30-m cropland datasets over China: A comparison and evaluation analysis C. Zhang et al. 10.1016/j.compag.2022.106946
276. Trend in Satellite-Observed Vegetation Cover and Its Drivers in the Gannan Plateau, Upper Reaches of the Yellow River, from 2000 to 2020 Y. Liang et al. 10.3390/rs14163849
277. A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland P. Wu et al. 10.1109/JSTARS.2021.3129183
278. A Reconstruction of Irrigated Cropland Extent in China from 2000 to 2019 Using the Synergy of Statistics and Satellite-Based Datasets M. Bai et al. 10.3390/land11101686
279. Evaluation and Intercomparison of Topographic Correction Methods Based on Landsat Images and Simulated Data Y. Ma et al. 10.3390/rs13204120
280. Increase in per capita cropland imbalance across countries from 1985 to 2022: A threat to achieving Sustainable Development Goals T. Zhao et al. 10.1016/j.geosus.2024.09.005
281. Urban vegetation cooling potential during heatwaves depends on background climate J. Zhao et al. 10.1088/1748-9326/acaf0f
282. Spatiotemporal changes and driving factors of ecological environmental quality in the Yongding-Luan River Basin based on RSEI Y. Li et al. 10.3389/fenvs.2024.1494098
283. Retrieving hourly aerosol optical depth for geostationary satellite FY-4B/AGRI by surface-related dynamic spectral reflectance ratio method W. Wang et al. 10.1016/j.asr.2024.10.057
284. Study of Land Cover Change in the City with the Fastest Economic Growth in China (Hefei) from 2000 to 2020 Based on Google Earth Engine Platform J. Geng et al. 10.3390/rs15061604
285. Multi-Category Segmentation of Sentinel-2 Images Based on the Swin UNet Method J. Yao & S. Jin 10.3390/rs14143382
286. Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer S. Bao et al. 10.3390/s23010088
287. High-resolution cropland mapping in China’s Huang-Huai-Hai Plain: The coupling of machine learning methods and prior information J. Zhao & P. Chen 10.1016/j.compag.2024.109225
288. Numerical simulation and its optimization of cold air pools in the Lanzhou Valley M. Ma et al. 10.1002/met.70020
289. Forest Phenology under Differing Topographic Conditions: A Case Study of Changbai Mountain in Northeast China J. Jiang et al. 10.3390/f14071466
290. Automated Mapping of Global 30-m Tidal Flats Using Time-Series Landsat Imagery: Algorithm and Products X. Zhang et al. 10.34133/remotesensing.0091
291. Wetlands Mapping and Monitoring with Long-Term Time Series Satellite Data Based on Google Earth Engine, Random Forest, and Feature Optimization: A Case Study in Gansu Province, China J. Zhang et al. 10.3390/land13091527
292. Identifying Urban Wetlands through Remote Sensing Scene Classification Using Deep Learning: A Case Study of Shenzhen, China R. Yang et al. 10.3390/ijgi11020131
293. Two-tier classification framework for mapping grassland types using multisource earth observation data M. Zhang et al. 10.1080/15481603.2024.2385170
294. Consistency and Accuracy of Four High-Resolution LULC Datasets—Indochina Peninsula Case Study H. Wang et al. 10.3390/land11050758
295. Evaluation of Global Land Use–Land Cover Data Products in Guangxi, China X. Hao et al. 10.3390/rs15051291
296. Environment or behavior: Which childhood nature experiences predict nature relatedness in early adulthood? C. Gong & S. Li 10.1016/j.landurbplan.2024.105176
297. The impact of global cropland irrigation on soil carbon dynamics X. Yao et al. 10.1016/j.agwat.2024.108806
298. Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales X. Wei et al. 10.1007/s11440-023-01841-4
299. A Reference-Free Method for the Thematic Accuracy Estimation of Global Land Cover Products Based on the Triple Collocation Approach P. Chen et al. 10.3390/rs15092255
300. Evaluation and analysis of upscaling of different land use/land cover products (FORM-GLC30, GLC_FCS30, CCI_LC, MCD12Q1 and CNLUCC): a case study in China S. He et al. 10.1080/10106049.2022.2127926
301. Mangrove Biodiversity Assessment Using UAV Lidar and Hyperspectral Data in China’s Pinglu Canal Estuary Y. Tian et al. 10.3390/rs15102622
302. Remotely Sensed Changes in Qinghai–Tibet Plateau Wetland Ecosystems and Their Response to Drought A. Fu et al. 10.3390/su16114738
303. Influence of Image Compositing and Multisource Data Fusion on Multitemporal Land Cover Mapping of Two Philippine Watersheds N. Almarines et al. 10.3390/rs16122167
304. Land use and cover in subtropical East Asia and Southeast Asia from 1700 to 2018 F. Mao et al. 10.1016/j.gloplacha.2023.104157
305. Time-series land cover mapping and urban expansion analysis using OpenStreetMap data and remote sensing big data: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China Q. Ding et al. 10.1016/j.jag.2022.103001
306. Land-Cover-Change Detection with Aerial Orthoimagery Using SegNet-Based Semantic Segmentation in Namyangju City, South Korea S. Son et al. 10.3390/su141912321
307. Future urban ecological land transition and its implications for high-heat exposure in China R. Feng et al. 10.1016/j.scs.2024.105590
308. Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach S. Du et al. 10.1016/j.rse.2023.113547
309. Urban greenspace and mental health in Chinese older adults: Associations across different greenspace measures and mediating effects of environmental perceptions Y. Yue et al. 10.1016/j.healthplace.2022.102856
310. Spatially Explicit Impact of Land Use Changes in the Bay Area on Anthropogenic Phosphorus Emissions and Freshwater Eutrophication Potential C. Chen et al. 10.1021/acs.est.4c04337
311. “Skylights” increase exposure levels and reduce the maximum depth of nature reserves H. Gao & D. Zhu 10.1002/inc3.45
312. Comparative Analysis of the Impact of Two Common Residue Burning Parameters on Urban Air Quality Indicators J. Du et al. 10.3390/rs15153911
313. Mapping Spatially Seamless Fractional Vegetation Cover over China at a 30-m Resolution and Semimonthly Intervals in 2010–2020 Based on Google Earth Engine T. Zhao et al. 10.34133/remotesensing.0101
314. Difference and consistency of multi-sources land cover products in global large river estuaries J. Zhong et al. 10.1016/j.ocecoaman.2023.106803
315. Quality Evaluation of Multi-Source Cropland Data in Alpine Agricultural Areas of the Qinghai-Tibet Plateau S. Lv et al. 10.3390/rs16193611
316. The Retrieval of Forest and Grass Fractional Vegetation Coverage in Mountain Regions Based on Spatio-Temporal Transfer Learning Y. Huang et al. 10.3390/rs15194857
317. The land-sea interface mapping: China’s coastal land covers at 10 m for 2020 M. Li et al. 10.1016/j.scib.2022.07.012
318. Assessing and Characterizing Carbon Storage in Wetlands of the Guangdong–Hong Kong–Macau Greater Bay Area, China, During 1995–2020 Y. Deng et al. 10.1109/JSTARS.2022.3192267
319. A new cropland area database by country circa 2020 F. Tubiello et al. 10.5194/essd-15-4997-2023
320. Deciphering the evolving trajectories of China's megaregions from 1992 to 2020: A novel morphological approach based on global land cover products H. Cao et al. 10.1016/j.apgeog.2024.103205
321. Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery Y. Deng et al. 10.1080/17538947.2023.2241428
322. Advancing Agricultural Crop Recognition: The Application of LSTM Networks and Spatial Generalization in Satellite Data Analysis A. Gafurov et al. 10.3390/agriculture13091672
323. Climate change effects on the global distribution and range shifts of citrus longhorned beetle Anoplophora chinensis Y. Zhou et al. 10.1111/jen.12996
324. Climate overtakes vegetation greening in regulating spatiotemporal patterns of soil moisture in arid Central Asia in recent 35 years N. Amantai et al. 10.1080/15481603.2023.2286744
325. UGS-1m: fine-grained urban green space mapping of 31 major cities in China based on the deep learning framework Q. Shi et al. 10.5194/essd-15-555-2023
326. Integrating Active and Passive Remote Sensing Data for Forest Age Estimation in Shangri-La City, China F. Cheng et al. 10.3390/f15091622
327. Decoding the inconsistency of six cropland maps in China Y. Cui et al. 10.1016/j.cj.2023.11.011
328. Hybrid Global Annual 1-km IGBP Land Cover Maps for the Period 2000–2020 Y. Luo et al. 10.34133/remotesensing.0122
329. Fine‐grained forest net primary productivity monitoring: Software system integrating multisource data and smart optimization W. Zou et al. 10.1002/spe.3365
330. Extraction of Abandoned Land in Hilly Areas Based on the Spatio-Temporal Fusion of Multi-Source Remote Sensing Images S. He et al. 10.3390/rs13193956
331. Spatial and Temporal Evolution Characteristics of Land Use/Cover and Its Driving Factor in Cambodia during 2000–2020 X. Niu et al. 10.3390/land11091556
332. Spatio-temporal variation in leaf area index in the Yan Mountains over the past 40 years and its relationship to hydrothermal conditions D. Guo et al. 10.1016/j.ecolind.2023.111291
333. Spatiotemporal variation in determinants of cropland abandonment across Yangtze River Economic Belt, China H. Chen et al. 10.1016/j.catena.2024.108326
334. Systematic method for mapping fine-resolution water cover types in China based on time series Sentinel-1 and 2 images Y. Li & Z. Niu 10.1016/j.jag.2021.102656
335. Dataset of building locations in Poland in the 1970s and 1980s P. Szubert et al. 10.1038/s41597-024-03179-2
336. Application potential and spatiotemporal uncertainty assessment of multi-layer soil moisture estimation in different climate zones using multi-source data J. Qian et al. 10.1016/j.jhydrol.2024.132229
337. Reservoir inventory for China in 2016 and 2021 H. Zhang et al. 10.1038/s41597-023-02515-2
338. Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE L. Sun et al. 10.1016/j.jag.2024.103762
339. Consistency Analysis and Accuracy Assessment of Eight Global Forest Datasets over Myanmar H. Xing et al. 10.3390/app112311348
340. A Prior Semantic Network for Large-Scale Landcover Change of Landsat Imagery X. Yang et al. 10.3390/su142013167
341. Dynamic surface water maps of Canada from 1984 to 2019 Landsat satellite imagery I. Olthof & T. Rainville 10.1016/j.rse.2022.113121
342. Monitoring of Cropland Abandonment and Land Reclamation in the Farming–Pastoral Zone of Northern China J. Ye et al. 10.3390/rs16061089
343. Dynamics of land cover changes and driving forces in China’s drylands since the 1970 s B. Wu et al. 10.1016/j.landusepol.2024.107097
344. Shifts in plant ecological strategies in remnant forest patches along urbanization gradients J. Yang et al. 10.1016/j.foreco.2022.120540
345. Land use and cover change and influencing factor analysis in the Shiyang River Basin, China Y. Zhao et al. 10.1007/s40333-024-0071-6
346. Assessment of Remote Sensing Ecological Quality by Introducing Water and Air Quality Indicators: A Case Study of Wuhan, China Y. Pan et al. 10.3390/land11122272
347. Incorporating Multi-Temporal Remote Sensing and a Pixel-Based Deep Learning Classification Algorithm to Map Multiple-Crop Cultivated Areas X. Wang et al. 10.3390/app14093545
348. Comparative Habitat Divergence and Fragmentation Analysis of Two Sympatric Pheasants in the Qilian Mountains, China W. Xie et al. 10.3390/land11122104
349. NPP Variability Associated with Natural and Anthropogenic Factors in the Tropic of Cancer Transect, China Y. Wu & Z. Wu 10.3390/rs15041091
350. Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images Y. Wang et al. 10.1080/15481603.2024.2352957
351. Mapping China’s coastal aquaculture ponds expansion with sentinel-2 images during 2017–2021 W. Sun et al. 10.1080/17538947.2023.2297943
352. Automatic detection of active geohazards with millimeter-to-meter-scale deformation and quantitative analysis of factors influencing spatial distribution: A case study in the Hexi corridor, China B. Chen et al. 10.1016/j.jag.2024.103995
353. Integrative analysis of nutrient dynamics and its hydrological pathways in a tropical montane forest watershed: Implications for landscape management P. Wang et al. 10.1016/j.catena.2024.108419
354. Monitoring and Assessing Urbanization Progress in Thailand between 2000 and 2020 Using SDG Indicator 11.3.1 R. Bhandari et al. 10.3390/su15129794
355. Classifying Mountain Vegetation Types Using Object-Oriented Machine Learning Methods Based on Different Feature Combinations X. Fu et al. 10.3390/f14081624
356. Geographical Knowledge-Driven Representation Learning for Remote Sensing Images W. Li et al. 10.1109/TGRS.2021.3115569
357. Mapping planted forest age using LandTrendr algorithm and Landsat 5–8 on the Loess Plateau, China P. Li et al. 10.1016/j.agrformet.2023.109795
358. Regional Accuracy Assessment of 30-Meter GLC_FCS30, GlobeLand30, and CLCD Products: A Case Study in Xinjiang Area J. Liu et al. 10.3390/rs16010082
359. Local Peak Savitzky–Golay for Spatio-Temporal Reconstruction of Landsat NDVI Time Series: A Case Study Over the Qinghai–Tibet Plateau C. Sun et al. 10.1109/JSTARS.2024.3432797
360. Spatiotemporal and Driving Factors of Land-Cover Change in the Heilongjiang (Amur) River Basin S. Jia & Y. Yang 10.3390/rs15153730
361. Estimation of soil lead content based on GF-5 hyperspectral images, considering the influence of soil environmental factors S. Ding et al. 10.1007/s11368-022-03169-0
362. Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data Z. Zheng et al. 10.1016/j.rse.2023.113973
363. Wildfire risk for global wildland–urban interface areas B. Chen et al. 10.1038/s41893-024-01291-0
364. Scale dependence of forest fragmentation and its climate sensitivity in a semi-arid mountain: Comparing Landsat, Sentinel and Google Earth data Y. Xie et al. 10.1016/j.geosus.2023.11.008
365. High-Confidence Sample Generation Technology and Application for Global Land-Cover Classification X. Xi et al. 10.1109/JSTARS.2022.3227911
366. Heterogeneity of population exposure to particulate matter pollution and its socioeconomic driving mechanism in Shaanxi Province, China Y. Liu et al. 10.1016/j.envpol.2024.125274
367. Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping Z. Zhang et al. 10.3390/rs14122778
368. Rapid method for yearly LULC classification using Random Forest and incorporating time-series NDVI and topography: a case study of Thanh Hoa province, Vietnam T. Le et al. 10.1080/10106049.2022.2123959
369. Identifying the Effects of Vegetation on Urban Surface Temperatures Based on Urban–Rural Local Climate Zones in a Subtropical Metropolis S. Zhou et al. 10.3390/rs15194743
370. Fusing Multiple Land Cover Products Based on Locally Estimated Map-Reference Cover Type Transition Probabilities W. Zhang et al. 10.3390/rs15020481
371. High-resolution land cover classification: cost-effective approach for extraction of reliable training data from existing land cover datasets G. Bratic et al. 10.1080/17538947.2023.2253784
372. Forest height mapping using inventory and multi-source satellite data over Hunan Province in southern China W. Huang et al. 10.1016/j.fecs.2022.100006
373. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets H. Li et al. 10.1016/j.rse.2022.113240
374. Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000–2020 Using Time Series of Remotely Sensed Images on the Big Data Platform Z. Yin et al. 10.3390/rs13214288
375. How does PM2.5 affect forest phenology? Integrating PM2.5 into phenology models for warm-temperate forests in China S. Zhao et al. 10.1016/j.envres.2024.120044
376. Classification of Wetland Vegetation Based on NDVI Time Series from the HLS Dataset Y. Ju & G. Bohrer 10.3390/rs14092107
377. Urban flooding risk assessment based on FAHP–EWM combination weighting: a case study of Beijing N. Sun et al. 10.1080/19475705.2023.2240943
378. Reconstructing Long‐Term Forest Cover in China by Fusing National Forest Inventory and 20 Land Use and Land Cover Data Sets X. Xia et al. 10.1029/2022JG007101
379. Assessing nitrogen circularity in food systems in the North China Plain C. Tang et al. 10.1016/j.resconrec.2024.108015
380. Monitoring Mining Activity and Vegetation Recovery in Rare Earth Element Mining Areas Y. Liu & R. Zuo 10.1007/s11004-023-10113-6
381. Disentangling the Influential Factors Driving NPP Decrease in Shandong Province: An Analysis from Time Series Evaluation Using MODIS and CASA Model G. Lv et al. 10.3390/rs16111966
382. Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets Y. Cui et al. 10.1038/s41597-024-03508-5
383. Characteristics and effects of global sloping land urbanization from 2000 to 2020 J. Lu et al. 10.1016/j.scitotenv.2024.173348
384. Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022 J. Yang et al. 10.1002/gdj3.268
385. Coupling Changes in Runoff and Sediment and Their Relationships with Erosion Energy and Underlying Surface in the Wuding River Basin, China Q. Yang et al. 10.3390/land13040496
386. Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region X. Zhang et al. 10.3390/su16135449
387. Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features Z. Zhang et al. 10.1016/j.rse.2021.112799
388. Land use/land cover prediction and analysis of the middle reaches of the Yangtze River under different scenarios S. Zhang et al. 10.1016/j.scitotenv.2022.155238
389. High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels X. Qi et al. 10.1109/JSTARS.2023.3342994
390. Forest foliage fuel load estimation from multi-sensor spatiotemporal features Y. Li et al. 10.1016/j.jag.2022.103101
391. Dominance of Influencing Factors on Cooling Effect of Urban Parks in Different Climatic Regions S. Zheng et al. 10.3390/ijerph192315496
392. Comparative validation of recent 10 m-resolution global land cover maps P. Xu et al. 10.1016/j.rse.2024.114316
393. Application of geospatial technology for the land use/land cover change assessment and future change predictions using CA Markov chain model S. Shivappa Masalvad et al. 10.1007/s10668-023-03657-4
394. Vertical Accuracy Assessment of the ASTER, SRTM, GLO-30, and ATLAS in a Forested Environment J. Huang & Y. Yu 10.3390/f15030426
395. Large-Scale Land Cover Mapping Framework Based on Prior Product Label Generation: A Case Study of Cambodia H. Zhu et al. 10.3390/rs16132443
396. Mapping China’s planted forests using high resolution imagery and massive amounts of crowdsourced samples K. Cheng et al. 10.1016/j.isprsjprs.2023.01.005
397. Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data J. Zhou et al. 10.1080/17538947.2023.2285807
398. An Open Data Approach for Estimating Vegetation Gross Primary Production at Fine Spatial Resolution S. Lin et al. 10.3390/rs14112651
399. Global conservation priorities for wetlands and setting post-2025 targets Q. Yi et al. 10.1038/s43247-023-01195-5
400. GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative X. Li et al. 10.1080/17538947.2024.2364683
401. Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution R. Xu et al. 10.1016/j.jag.2024.104248
402. Estimating the Past and Future Trajectory of LUCC on Wetland Ecosystem Service Values in the Yellow River Delta Region of China Z. Zhang et al. 10.3390/su16020619
403. Consistency Assessments of the Land Cover Products on the Tibetan Plateau L. Cai et al. 10.1109/JSTARS.2022.3188650
404. Automatically Monitoring Impervious Surfaces Using Spectral Generalization and Time Series Landsat Imagery from 1985 to 2020 in the Yangtze River Delta X. Zhang et al. 10.34133/2021/9873816
405. Using a water index approach to mapping periodically inundated saltmarsh land-cover vegetation and eco-zonation using multi-temporal Landsat 8 imagery S. Alam & M. Hossain 10.1007/s11852-023-01019-w
406. Time‐series InSAR monitoring of surface deformation in Yakutsk, a city located on continuous permafrost X. Li et al. 10.1002/esp.5736
407. Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations C. Zheng et al. 10.1016/j.jhydrol.2022.128444
408. An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach B. Li et al. 10.5194/essd-15-2347-2023
409. Spatiotemporal Evaluation of Regional Land Use Dynamics and Its Potential Ecosystem Impact under Carbon Neutral Pathways in the Guangdong–Hong Kong–Macao Greater Bay Area H. Chen et al. 10.3390/rs15245749
410. Geospatial Analysis of Relief Degree of Land Surface in the Forest-Steppe Ecotone in Northern China L. Hu et al. 10.3390/f15071122
411. Landsat image classification using a deep learning model and multiple-source training samples Z. Sun et al. 10.1080/17538947.2024.2409351
412. An Improved Framework for Airport Detection Under the Complex and Wide Background N. Li et al. 10.1109/JSTARS.2022.3217040
413. Local carbon emission zone construction in the highly urbanized regions: Application of residential and transport CO2 emissions in Shanghai, China Y. Tian et al. 10.1016/j.buildenv.2023.111007
414. Mapping irrigated croplands in China using a synergetic training sample generating method, machine learning classifier, and Google Earth Engine C. Zhang et al. 10.1016/j.jag.2022.102888
415. Urbanization strengthens the edge effects on species diversity and composition of woody plants in remnant forests Z. Wang & J. Yang 10.1016/j.fecs.2022.100063
416. Identifying and quantifying local uncertainty and discrepancy in the comparison of global cropland extent through a synergistic approach X. Liu et al. 10.1016/j.apgeog.2023.103164
417. Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
418. A Comparison of Random Forest Algorithm-Based Forest Extraction with GF-1 WFV, Landsat 8 and Sentinel-2 Images X. Peng et al. 10.3390/rs14215296
419. Impacts of Climate Change on Forest Biodiversity Changes in Northeast China X. Yang et al. 10.3390/rs16214058
420. 10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product K. Tran et al. 10.1016/j.jag.2022.102692
421. Attributing trend in naturalized streamflow to temporally explicit vegetation change and climate variation in the Yellow River basin of China Z. Wang et al. 10.5194/hess-26-5291-2022
422. AGTML: A novel approach to land cover classification by integrating automatic generation of training samples and machine learning algorithms on Google Earth Engine Y. Cui et al. 10.1016/j.ecolind.2023.110904
423. Detailed wetland-type classification using Landsat-8 time-series images: a pixel- and object-based algorithm with knowledge (POK) K. Peng et al. 10.1080/15481603.2023.2293525
424. Mapping the Complex Crop Rotation Systems in Southern China Considering Cropping Intensity, Crop Diversity, and Their Seasonal Dynamics Y. Liu et al. 10.1109/JSTARS.2022.3218881
425. Analysis of desertification combating needs based on potential vegetation NDVI—A case in the Hotan Oasis L. Zhang et al. 10.3389/fpls.2022.1036814
426. Assessing Temporal Trade-Offs of Ecosystem Services by Production Possibility Frontiers W. Jiang et al. 10.3390/rs15030749
427. Drastic water volume changes in mega lakes can pose considerable impacts on regional water storage Z. Gao et al. 10.1016/j.ecolind.2024.112150
428. Continued Increases of Gross Primary Production in Urban Areas during 2000–2016 Y. Cui et al. 10.34133/2022/9868564
429. Ecosystem health assessment and approaches to improve Sichuan Province based on an improved vigor organization resilience model J. Lei et al. 10.1016/j.ecolind.2023.110925
430. Donor-side valuation of forest ecosystem services in China during 1990–2020 Y. Xie et al. 10.1007/s40974-023-00294-5
431. Identification of Ecological Sources Using Ecosystem Service Value and Vegetation Productivity Indicators: A Case Study of the Three-River Headwaters Region, Qinghai–Tibetan Plateau, China X. Feng et al. 10.3390/rs16071258
432. PRISI: A novel piecewise radar impervious surface index for urban monitoring using Sentinel-1 data Y. Ding et al. 10.1016/j.jag.2022.103033
433. Regional Urban Shrinkage Can Enhance Ecosystem Services—Evidence from China’s Rust Belt Z. Xu et al. 10.3390/rs16163040
434. Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects J. Wang et al. 10.1016/j.scitotenv.2022.153559
435. Rapid early-season maize mapping without crop labels N. You et al. 10.1016/j.rse.2023.113496
436. Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product G. Xian et al. 10.5194/essd-14-143-2022
437. A hierarchical category structure based convolutional recurrent neural network (HCS-ConvRNN) for Land-Cover classification using dense MODIS Time-Series data J. Li et al. 10.1016/j.jag.2022.102744
438. Mapping 20 years of irrigated croplands in China using MODIS and statistics and existing irrigation products C. Zhang et al. 10.1038/s41597-022-01522-z
439. Impact of touristification and landscape pattern on habitat quality in the Longji Rice Terrace Ecosystem, southern China, based on geographically weighted regression models H. Cao et al. 10.1016/j.ecolind.2024.112259
440. Impact of Land Transition on Landscape and Ecosystem Service Value in Northeast Region of China from 2000–2020 X. Wang et al. 10.3390/land11050696
441. Effect of Urban Built-Up Area Expansion on the Urban Heat Islands in Different Seasons in 34 Metropolitan Regions across China W. Han et al. 10.3390/rs15010248
442. Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022 X. Zhang et al. 10.1038/s41597-024-03143-0
443. A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information X. Li et al. 10.3390/rs15225328
444. Classification Feature Optimization for Global Wetlands Mapping X. Yan & Z. Niu 10.1109/JSTARS.2024.3382580
445. Temporal and Spatial Evolution Characteristics and Its Driving Mechanism of Land Use/Cover in Vietnam from 2000 to 2020 X. Niu et al. 10.3390/land11060920
446. Mapping the habitat for the moose population in Northeast China by combining remote sensing products and random forests X. Zhi et al. 10.1016/j.gecco.2022.e02347
447. Habitat suitability and relative abundance of wild boars in the east‐central Tianshan Mountains, China Z. Gao et al. 10.1002/jwmg.22683
448. Improved forest cover mapping by harmonizing multiple land cover products over China S. Meng et al. 10.1080/15481603.2022.2124044
449. Land use dynamics and ecosystem service valuation in the Sanmenxia Reservoir wetland of the Yellow River Y. Liu et al. 10.1038/s41598-024-74435-z
450. LUCC Simulation Based on RF-CNN-LSTM-CA Model with High-Quality Seed Selection Iterative Algorithm M. Liu et al. 10.3390/app13063407
451. Large-Area Full-Coverage Remote Sensing Image Collection Filtering Algorithm for Individual Demands B. Chu et al. 10.3390/su132313475
452. Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images C. Zhang et al. 10.1016/j.jenvman.2023.119618
453. A simple, fast, and accurate method for land cover mapping in Mongolia T. Phan et al. 10.1080/10106049.2022.2087759
454. Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas H. Lin et al. 10.3390/rs13204140
455. Improved Mapping of Regional Forest Heights by Combining Denoise and LightGBM Method M. Sang et al. 10.3390/rs15235436
456. Impacts of landscape patterns on plant species diversity at a global scale H. Jin et al. 10.1016/j.scitotenv.2023.165193
457. Dynamic response of carbon storage to future land use/land cover changes motivated by policy effects and core driving factors H. Zhang et al. 10.1093/jpe/rtae042
458. Tracking spatiotemporal dynamics of irrigated croplands in China from 2000 to 2019 through the synergy of remote sensing, statistics, and historical irrigation datasets C. Zhang et al. 10.1016/j.agwat.2022.107458
459. Exploring the InSAR Deformation Series Using Unsupervised Learning in a Built Environment M. Yang et al. 10.3390/rs16081375
460. A framework for fine classification of urban wetlands based on random forest and knowledge rules: taking the wetland cities of Haikou and Yinchuan as examples X. Wang et al. 10.1080/15481603.2022.2152926
461. Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China M. Yan et al. 10.3389/fpls.2023.1067552
462. Extracting Shrubland in Deserts from Medium-Resolution Remote-Sensing Data at Large Scale B. Zhong et al. 10.3390/rs16020374
463. CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic C. Liu et al. 10.5194/essd-15-133-2023
464. Optimal parameters of random forest for land cover classification with suitable data type and dataset on Google Earth Engine J. Sun & S. Ongsomwang 10.3389/feart.2023.1188093
465. Large-scale land use/land cover extraction from Landsat imagery using feature relationships matrix based deep-shallow learning P. Dou et al. 10.1016/j.jag.2024.103866
466. Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015 J. Fang et al. 10.1038/s41597-024-03291-3
467. Development of a Pixel-Wise Forest Transmissivity Model at Frequencies of 19 GHz and 37 GHz for Snow Depth Inversion in Northeast China G. Wang et al. 10.3390/rs14215483
468. A comprehensive review of rice mapping from satellite data: Algorithms, product characteristics and consistency assessment H. Fang et al. 10.1016/j.srs.2024.100172
469. Classifying Forest Types over a Mountainous Area in Southwest China with Landsat Data Composites and Multiple Environmental Factors R. Li et al. 10.3390/f13010135
470. Quantifying the environmental synergistic effect of cooling-air purification-carbon sequestration from urban forest in China R. Feng et al. 10.1016/j.jclepro.2024.141514
471. Water-carbon-sediment synergies and trade-offs: Multi-faceted impacts of large-scale ecological restoration in the Middle Yellow River Basin Z. Yan et al. 10.1016/j.jhydrol.2024.131099
472. Enhancing Land Cover Mapping in Mixed Vegetation Regions Using Remote Sensing Evapotranspiration J. Wang et al. 10.1109/TGRS.2024.3383217
473. Vegetation Subtype Classification of Evergreen Broad-Leaved Forests in Mountainous Areas Using a Hierarchy-Based Classifier S. Zhang et al. 10.3390/rs15123053
474. Mapping Cropland Abandonment in the Cloudy Hilly Regions Surrounding the Southwest Basin of China Y. Wei et al. 10.3390/land13050586
475. Regional matters: On the usefulness of regional land‐cover datasets in times of global change M. Tulbure et al. 10.1002/rse2.248
476. Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020 R. Ji et al. 10.3390/rs13214480
477. MaxEnt Modeling for Predicting Suitable Habitats of Snow Leopard (Panthera uncia) in the Mid-Eastern Tianshan Mountains G. Jianhui et al. 10.5814/j.issn.1674-764x.2023.05.018
478. Growing biomass carbon stock in China driven by expansion and conservation of woody areas Z. Liao et al. 10.1038/s41561-024-01569-0
479. GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform X. Zhang et al. 10.5194/essd-14-1831-2022
480. Estimation of Spatial–Temporal Dynamic Evolution of Potential Afforestation Land and Its Carbon Sequestration Capacity in China Z. Zhang et al. 10.3390/rs16163098
481. Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model J. Liu et al. 10.3390/rs13245131
482. Mapping Land-Cover Dynamics in Arid Regions Using Spectral Mixture Analysis and Representative Training Samples Y. Cui et al. 10.1109/TGRS.2024.3472080
483. Recent intensified erosion and massive sediment deposition in Tibetan Plateau rivers J. Li et al. 10.1038/s41467-024-44982-0
484. An Improved LandTrendr Algorithm for Forest Disturbance Detection Using Optimized Temporal Trajectories of the Spectrum: A Case Study in Yunnan Province, China L. He et al. 10.3390/f15091539
485. Application of the Coastal Hazard Wheel for Coastal Multi-Hazard Assessment and Management in the Guang-Dong-Hongkong-Macao Greater Bay Area Q. Su et al. 10.3390/su132212623
486. Urban flooding risk assessment based on GIS- game theory combination weight: A case study of Zhengzhou City J. Peng & J. Zhang 10.1016/j.ijdrr.2022.103080
487. Evaluating the conservation priority of key biodiversity areas based on ecosystem conditions and anthropogenic threats in rapidly urbanizing areas Y. Wang et al. 10.1016/j.ecolind.2022.109245
488. GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020 X. Zhang et al. 10.5194/essd-15-265-2023
489. Current state and challenges in producing large-scale land cover maps: review based on recent land cover products F. Gilić et al. 10.1080/10106049.2023.2242693
490. Global expansion of wildland-urban interface intensifies human exposure to wildfire risk in the 21st century Y. Guo et al. 10.1126/sciadv.ado9587
491. Simultaneous Update of High-Resolution Land-Cover Mapping Attempt: Wuhan and the Surrounding Satellite Cities Cartography Using L2HNet Y. Huang et al. 10.1109/JSTARS.2023.3243281
492. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019 J. Yang & X. Huang 10.5194/essd-13-3907-2021
493. A novel method for identification of disturbance from surface coal mining using all available Landsat data in the GEE platform T. He et al. 10.1016/j.isprsjprs.2023.09.026
494. Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China S. He et al. 10.3390/land13060812
495. Learning spectral-indices-fused deep models for time-series land use and land cover mapping in cloud-prone areas: The case of Pearl River Delta Z. Li et al. 10.1016/j.rse.2024.114190
496. Assessment of Urban Spatial Integration Using Human Settlement Environmental Geographic Dataset: A Case Study in the Guangzhou–Foshan Metropolitan Area R. Chen et al. 10.3390/land13081262
497. Human expansion into Asian highlands in the 21st Century and its effects C. Yang et al. 10.1038/s41467-022-32648-8
498. Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China L. Liu et al. 10.3390/f15020288
499. Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
500. An Application of Machine-Learning Model for Analyzing the Impact of Land-Use Change on Surface Water Resources in Gauteng Province, South Africa E. Gidey & P. Mhangara 10.3390/rs15164092
501. Myanmar’s Land Cover Change and Its Driving Factors during 2000–2020 Y. Wang et al. 10.3390/ijerph20032409
502. Dynamics and Drivers of Water Clarity Derived from Landsat and In-Situ Measurement Data in Hulun Lake from 2010 to 2020 C. Zhao et al. 10.3390/w14081189
503. Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution J. Hackländer et al. 10.7717/peerj.16972
504. Spatiotemporal Analysis and War Impact Assessment of Agricultural Land in Ukraine Using RS and GIS Technology Y. Ma et al. 10.3390/land11101810
505. Spatially explicit subpixel-based study on the expansion of impervious surfaces and its impacts on soil organic carbon Y. Yan et al. 10.1007/s11252-022-01322-8
506. Time Series Remote Sensing Image Classification Using Feature Relationship Learning P. Dou et al. 10.1109/TGRS.2024.3386171
507. Accuracy Performance of Three 10-m Global Land Cover Products Around 2020 in an Arid Region of Northwestern China Q. Bie et al. 10.1109/ACCESS.2023.3336733
508. Assessing the applicability of binary land-cover variables to species distribution models across multiple grains L. Gábor et al. 10.1007/s10980-024-01813-3
509. Mountain Forest Type Classification Based on One-Dimensional Convolutional Neural Network M. Bai et al. 10.3390/f14091823
510. The 30 m vegetation maps from 1990 to 2020 in the Tibetan Plateau F. Wu et al. 10.1038/s41597-024-03649-7
511. Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification Y. Hong et al. 10.1016/j.geoderma.2022.116284
512. Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin K. Li et al. 10.1016/j.jag.2022.102928
513. Leaf area index retrieval with ICESat-2 photon counting LiDAR J. Zhang et al. 10.1016/j.jag.2021.102488
514. Spatio-temporal land use/land cover dynamics and its driving forces in the Mekong Basin using Landsat imageries from 1988 to 2017 H. Li & L. Hong 10.1080/10106049.2022.2089736
515. Which land cover product provides the most accurate land use land cover map of the Yellow River Basin? W. Zhang et al. 10.3389/fevo.2023.1275054
516. Long Time Series High-Quality and High-Consistency Land Cover Mapping Based on Machine Learning Method at Heihe River Basin B. Zhong et al. 10.3390/rs13081596
517. The consequences of urbanization on vegetation photosynthesis in the Yangtze River Delta, China H. Yu et al. 10.3389/ffgc.2022.996197
518. Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects L. Liu et al. 10.34133/2021/5289697
519. GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery X. Zhang et al. 10.5194/essd-13-2753-2021
520. Prolonged Drought Enhances Northwest China Dust Storm Activity J. Zhang et al. 10.1029/2022JD037088
521. Anthropogenic Land Use and Land Cover Changes—A Review on Its Environmental Consequences and Climate Change P. Roy et al. 10.1007/s12524-022-01569-w
522. Study of the Ecosystem Service Value Gradient at the Land–Water Interface Zone of the Xijiang River Mainstem Y. Huang et al. 10.3390/app131810485