542 citations as recorded by crossref.

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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
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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
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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
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17. The Association between Carbon Emission and Urban Spatial Form—A Study of Zhuhai, China Y. Zhang et al. 10.3390/land12030720
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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. Dynamic Geo-Visualization of Urban Land Subsidence and Land Cover Data Using PS-InSAR and Google Earth Engine (GEE) for Spatial Planning Assessment J. Widodo et al. 10.3390/urbansci8040234
27. 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
28. 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
29. 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
30. Regional estimation of dead fuel moisture content in southwest China based on a practical process-based model C. Fan et al. 10.1071/WF22209
31. Urban growth simulation and scenario projection for the arid regions using heuristic cellular automata X. Tang et al. 10.1038/s41598-024-71709-4
32. Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping Q. Shi et al. 10.34133/remotesensing.0078
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34. Identifying Grassland Distribution in a Mountainous Region in Southwest China Using Multi-Source Remote Sensing Images Y. Yuan et al. 10.3390/rs14061472
35. 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
36. 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
37. 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
38. How do economic levels, urbanization, and infrastructure investments influence inequality in urban green space exposure? Insights from Japanese municipalities J. Chen et al. 10.1016/j.ufug.2024.128649
39. 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
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41. HiLPD-GEE: high spatial resolution land productivity dynamics calculation tool using Landsat and MODIS data T. Shen et al. 10.1080/17538947.2023.2179675
42. Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning L. Parente et al. 10.1038/s41597-024-04139-6
43. Formation mechanism of ground fissures in the Kenyan Rift: tectonics, sediments, and erosion Z. Jia et al. 10.1007/s10064-024-03816-5
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China C. Zhu et al. 10.1016/j.jag.2024.104294
54. Mathematical Model Guided Interpolation for Mapping SRTM Understory Terrain by Integrating ICESat-2 Data J. Huang et al. 10.1109/LGRS.2024.3412396
55. 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
56. Regimes of global and national oil palm cultivations from 2001 to 2018 H. Yu et al. 10.1016/j.gloenvcha.2024.102845
57. 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
58. 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
59. Unsupervised object-based spectral unmixing for subpixel mapping C. Zhang et al. 10.1016/j.rse.2024.114514
60. Spatiotemporal Variation in Ecosystem Health Caused by Land Use and Land Cover Changes in Pakistan H. Zhao & X. Deng 10.34133/ehs.0161
61. Evaluation of six global high-resolution global land cover products over China Y. Wang et al. 10.1080/17538947.2023.2301673
62. 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
63. 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
64. Changes in the Fine Composition of Global Forests from 2001 to 2020 H. Xu et al. 10.34133/remotesensing.0119
65. 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
66. Dynamic Earthquake-Induced Landslide Susceptibility Assessment Model: Integrating Machine Learning and Remote Sensing Y. Yang et al. 10.3390/rs16214006
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68. 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
69. 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
70. 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
71. Comparison and Assessment of Different Land Cover Datasets on the Cropland in Northeast China P. Cui et al. 10.3390/rs15215134
72. 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
73. 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
74. Analyzing the Spatiotemporal Pattern and Interaction of SDGs for Sustainable Development in Inner Mongolia M. Yan et al. 10.3390/su16166899
75. An Optimal Transport Based Global Similarity Index for Remote Sensing Products Comparison Y. Tan et al. 10.3390/rs14112546
76. Assessment of fine-resolution land cover mapping products in the Changbai Mountain Range, China L. Zhao et al. 10.1080/27669645.2024.2414480
77. Monitoring Cropland Abandonment in Hilly Areas with Sentinel-1 and Sentinel-2 Timeseries S. He et al. 10.3390/rs14153806
78. Geographical Supervision Correction for Remote Sensing Representation Learning W. Li et al. 10.1109/TGRS.2022.3202499
79. User-Aware Evaluation for Medium-Resolution Forest-Related Datasets in China: Reliability and Spatial Consistency X. Peng et al. 10.3390/rs15102557
80. Distribution and Storage Characteristics of Soil Organic Carbon in Tidal Wetland of Dandou Sea, Guangxi M. Wang et al. 10.3390/atmos15040431
81. 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
82. 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
83. 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
84. Developing a Land Continuous Variable Estimator to Generate Daily Land Products From Landsat Data H. Ma et al. 10.1109/TGRS.2021.3121272
85. Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks W. Li et al. 10.3390/rs15164071
86. Comparative Validation and Misclassification Diagnosis of 30-Meter Land Cover Datasets in China X. Xu et al. 10.3390/rs16224330
87. 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
88. Global hydro-environmental lake characteristics at high spatial resolution B. Lehner et al. 10.1038/s41597-022-01425-z
89. 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
90. 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
91. 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
92. Mapping Cropland Abandonment in Mountainous Areas in China Using the Google Earth Engine Platform S. Xu et al. 10.3390/rs15041145
93. 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
94. 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
95. 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
96. Refining historical burned area data from satellite observations V. Fernández-García & C. Kull 10.1016/j.jag.2023.103350
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98. 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
99. 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
100. Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin C. Huang et al. 10.1016/j.jag.2024.104302
101. Machine Learning for Global Bioclimatic Classification: Enhancing Land Cover Prediction through Random Forests M. Sparey et al. 10.3390/atmos15060700
102. Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data I. Bychkov & A. Popova 10.3390/f14101995
103. 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
104. Water yield of the Volta Basin under future land use and climate change D. Ocloo 10.1007/s10668-023-03977-5
105. 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
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112. High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales L. Estes et al. 10.3389/frai.2021.744863
113. Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow Y. Zhou et al. 10.3390/land12081527
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115. Simulation of land-cover change in Jing-Jin-Ji region under different scenarios of SSP-RCP Z. Fan 10.1007/s11442-022-1955-z
116. Do more efficient transport facilities improve habitat quality? Evidence from China H. Bai & L. Weng 10.1016/j.scs.2024.105243
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120. 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
121. Spatial Consistency and Accuracy Analysis of Multi-Source Land Cover Products on the Southeastern Tibetan Plateau, China B. Zhang et al. 10.3390/rs16173219
122. Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits C. Wang et al. 10.1016/j.jag.2023.103235
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124. Hydro-Climatic and Vegetation Dynamics Spatial-Temporal Changes in the Great Lakes Depression Region of Mongolia B. Dorjsuren et al. 10.3390/w15213748
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127. 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
128. 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
129. 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
130. Assessing the Consistency of Five Remote Sensing-Based Land Cover Products for Monitoring Cropland Changes in China F. Deng et al. 10.3390/rs16234498
131. Flood Monitoring by Integrating Normalized Difference Flood Index and Probability Distribution of Water Bodies F. Xue et al. 10.1109/JSTARS.2022.3176388
132. 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
133. 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
134. Identification of the Spring Green-Up Date Derived from Satellite-Based Vegetation Index over a Heterogeneous Ecoregion J. Wu et al. 10.3390/rs14174349
135. Diversity and conservation of higher plants in Northwest Yunnan-Southeast Tibet W. Li et al. 10.1016/j.gecco.2023.e02396
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138. 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
139. 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
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143. 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
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145. Spaceborne SAR Radiometric Cross-Calibration Considering Typical Scattering Effects in Building Areas M. Deng et al. 10.1109/TGRS.2024.3484163
146. 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
147. Recognizing Urban Functional Zones by GF-7 Satellite Stereo Imagery and POI Data Z. Sun et al. 10.3390/app13106300
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150. Impacts of Land Use/Land Cover Distributions on Permafrost Simulations on Tibetan Plateau Y. Pan et al. 10.3390/rs15235586
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152. 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
153. 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
154. Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data S. Wang et al. 10.3390/rs14236011
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159. Assessment of Semi-Automated Techniques for Crop Mapping in Chile Based on Global Land Cover Satellite Data M. Volke et al. 10.3390/rs16162964
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161. 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
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171. Intercomparison and validation of five existing leaf chlorophyll content products over China X. Wang et al. 10.1016/j.jag.2024.103930
172. 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
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