224 citations as recorded by crossref.

1. Rapid urban expansion and potential disaster risk on the Qinghai-Tibetan Plateau in the 21st century C. Yin et al. 10.1007/s10980-024-01825-z
2. Spatiotemporal variation of enhanced vegetation index in the Amazon Basin and its response to climate change R. Zhong et al. 10.1016/j.pce.2021.103024
3. Decreasing control of precipitation on grassland spring phenology in temperate China Y. Fu et al. 10.1111/geb.13234
4. Blue-Sky Albedo Reduction and Associated Influencing Factors of Stable Land Cover Types in the Middle-High Latitudes of the Northern Hemisphere during 1982–2015 S. Yuan et al. 10.3390/rs14040895
5. Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) H. Liu et al. 10.1080/15481603.2023.2286746
6. Changes in leaf and root carbon allocation of global vegetation simulated by the optimally integrated ecosystem models Z. Duanmu et al. 10.1016/j.agrformet.2024.110366
7. Vegetation Dynamics and Its Trends Associated with Extreme Climate Events in the Yellow River Basin, China Y. Cao et al. 10.3390/rs15194683
8. A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
9. Did Climate Change Influence the Emergence, Transmission, and Expression of the COVID-19 Pandemic? S. Gupta et al. 10.3389/fmed.2021.769208
10. Global Drought-Wetness Conditions Monitoring Based on Multi-Source Remote Sensing Data W. Wei et al. 10.3390/land13010095
11. Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data Y. Zhang et al. 10.1016/j.habitatint.2025.103350
12. Spatiotemporal pattern of landscape ecological risk in the Yangtze River Basin and its influence on NPP L. Jia et al. 10.3389/ffgc.2023.1335116
13. Warming-induced vapor pressure deficit suppression of vegetation growth diminished in northern peatlands N. Chen et al. 10.1038/s41467-023-42932-w
14. Divergent Hydrological Responses to Forest Expansion in Dry and Wet Basins of China: Implications for Future Afforestation Planning B. Xue et al. 10.1029/2021WR031856
15. Using participatory mapping for a shared understanding of deforestation dynamics in Murehwa district, Zimbabwe P. Mataruse et al. 10.1051/cagri/2024011
16. Temporal variation characteristics in the association between climate and vegetation in Northwest China S. Zheng et al. 10.1038/s41598-024-68066-7
17. Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China X. Zheng et al. 10.1029/2021WR031464
18. An environmental Kuznets curve for global forests: An application of the mi-lasso estimator R. Cherodian & I. Fraser 10.1016/j.forpol.2024.103304
19. Modeling the effects of realistic land cover changes on land surface temperatures over China X. Li et al. 10.1007/s00382-022-06635-0
20. Combined influence of soil moisture and atmospheric humidity on land surface temperature under different climatic background K. Jiang et al. 10.1016/j.isci.2023.106837
21. Spatiotemporal heterogeneity in global urban surface warming S. Ge et al. 10.1016/j.rse.2024.114081
22. Surface water monitoring from 1984 to 2021 based on Landsat time-series images and Google Earth Engine B. Zhao & L. Wang 10.1016/j.heliyon.2024.e36660
23. Inhibitive Effects of Recent Exceeding Air Temperature Optima of Vegetation Productivity and Increasing Water Limitation on Photosynthesis Reversed Global Greening B. Chen et al. 10.1029/2022EF002788
24. 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
25. Land Cover and Land Use Mapping of the East Asian Summer Monsoon Region from 1982 to 2015 Y. He et al. 10.3390/land11030391
26. Understanding metro station areas’ functional characteristics via embedding representation: A case study of shanghai H. Jiang et al. 10.1038/s41598-025-87336-6
27. 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
28. Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data via the Bayesian Maximum Entropy Framework L. Han et al. 10.3390/rs12233916
29. Spatiotemporal Analysis of Land Cover and the Effects on Ecosystem Service Values in Rupandehi, Nepal from 2005 to 2020 A. KC et al. 10.3390/ijgi10100635
30. Land-use intensification dominates China's land provisioning services: From the perspective of land system science W. Mao & L. Jiao 10.1016/j.jenvman.2024.120541
31. Spatial heterogeneity of flash drought events in Central Asia and their link with large-scale circulation Y. Zhu et al. 10.1007/s00382-024-07557-9
32. Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations S. Chen et al. 10.5194/essd-16-5449-2024
33. Temporal and spatial changes to cropland cover on the Korean Peninsula over the past millennium M. Li et al. 10.1007/s10113-024-02309-1
34. Modeling the impact of urbanization and climate changes on terrestrial vegetation productivity in China by a neighborhood substitution analysis Z. Qin & Z. Sha 10.1016/j.ecolmodel.2023.110405
35. On the potential of documenting decadal-scale avifaunal change from before-and-after comparisons of museum and observational data across North America F. Machado-Stredel et al. 10.1016/j.avrs.2022.100005
36. Unraveling the amplified role of urbanization on occurrence likelihood of precipitation extremes through nonstationary model in Huaihe River Basin, China P. Xu et al. 10.1016/j.jhydrol.2025.133137
37. Mapping N deposition impacts on soil microbial biomass across global terrestrial ecosystems C. Chen et al. 10.1016/j.geoderma.2023.116429
38. Revealing the proximate drivers behind global tree cover loss using multisourced remote sensing products during 2000–2020 W. Liu et al. 10.1016/j.foreco.2025.122501
39. Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. 10.1016/j.scitotenv.2023.163285
40. The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research Y. Xiao et al. 10.1016/j.jag.2024.104256
41. The enduring effects of China’s Payments for Ecosystem Services: Short- and long-term industrial transformations W. Wang & Q. Pan 10.1016/j.jeem.2025.103119
42. FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping L. Yu et al. 10.1080/15481603.2022.2096184
43. 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
44. 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
45. Global impact of the COVID-19 lockdown on surface concentration and health risk of atmospheric benzene C. Ling et al. 10.5194/acp-23-3311-2023
46. Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works C. Tao et al. 10.1109/TGRS.2023.3276853
47. Time-varying hydrological simulation based on a SWD-SSC method J. Wang et al. 10.1016/j.ejrh.2024.101808
48. Intra-annual land cover mapping and dynamics analysis with dense satellite image time series: a spatiotemporal cube based spatiotemporal contextual method W. Xi et al. 10.1080/15481603.2021.1973216
49. 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
50. Identifying the driving forces of global ecosystem services balance, 2000–2020 Y. Peng et al. 10.1016/j.jclepro.2023.139019
51. Land Use/Cover Changes During 1992–2022 in the Yayo Coffee Forest Biosphere Reserve, Southwestern Ethiopia G. Fida et al. 10.1016/j.rama.2024.04.004
52. Comparing spatial patterns of 11 common cancers in Mainland China L. Zhang et al. 10.1186/s12889-022-13926-y
53. 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
54. 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
55. Validation of Multi-Temporal Land-Cover Products Considering Classification Error Propagation S. Liao et al. 10.3390/rs16162968
56. Urban Renewal Mapping: A Case Study in Beijing from 2000 to 2020 H. Ni et al. 10.34133/remotesensing.0072
57. Spatial distribution and risk assessments of mercury in topsoils of Central Asia Z. Yang et al. 10.1016/j.gsf.2023.101585
58. A Modified Self-adaptive Method for Mapping Annual 30-m Land Use/Land Cover Using Google Earth Engine: A Case Study of Yangtze River Delta L. Qu et al. 10.1007/s11769-021-1226-4
59. 全球沙漠变化的气候影响 瑶. 陈 et al. 10.1360/SSTe-2022-0128
60. Implementation of an Improved Water Change Tracking (IWCT) Algorithm: Monitoring the Water Changes in Tianjin over 1984–2019 Using Landsat Time-Series Data X. Han et al. 10.3390/rs13030493
61. Uncertainty in land use obscures global soil organic carbon stock estimates C. Gang et al. 10.1016/j.agrformet.2023.109585
62. Evaluation of the influence of ENSO on tropical vegetation in long time series using a new indicator Y. Yan et al. 10.1016/j.ecolind.2021.107872
63. Hybrid Global Annual 1-km IGBP Land Cover Maps for the Period 2000–2020 Y. Luo et al. 10.34133/remotesensing.0122
64. Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. 10.3390/atmos15121410
65. Global land use changes are four times greater than previously estimated K. Winkler et al. 10.1038/s41467-021-22702-2
66. New insights of global vegetation structural properties through an analysis of canopy clumping index, fractional vegetation cover, and leaf area index H. Fang et al. 10.1016/j.srs.2021.100027
67. A Multifactor Weighting Method for Improved Clear View Compositing Using All Available Landsat 8 and Sentinel 2 Images in Google Earth Engine S. Meng et al. 10.34133/remotesensing.0086
68. Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network V. Pham & Q. Bui 10.1080/2150704X.2021.1918789
69. Research Progress in the Application of Google Earth Engine for Grasslands Based on a Bibliometric Analysis Z. Mashaba-Munghemezulu et al. 10.3390/grasses3020006
70. Time series analysis for global land cover change monitoring: A comparison across sensors L. Xu et al. 10.1016/j.rse.2022.112905
71. A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data E. Abdali et al. 10.3390/rs16010127
72. A global estimate of monthly vegetation and soil fractions from spatiotemporally adaptive spectral mixture analysis during 2001–2022 Q. Sun et al. 10.5194/essd-16-1333-2024
73. Trends in Lakeshore Zone Development: A Comparison of Polish and Hungarian Lakes over 30-Year Period G. Furgała-Selezniow et al. 10.3390/ijerph19042141
74. Reforestation in Southern China Enhances the Convective Afternoon Rainfall During the Post-flood Season X. Li et al. 10.3389/fenvs.2022.942974
75. Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020 M. Zhu et al. 10.5194/essd-16-277-2024
76. Impact of COVID-19 restrictions on the concentration and source apportionment of atmospheric ammonia (NH3) across India L. Cui 10.1016/j.scitotenv.2023.163443
77. 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
78. Dynamic assessment of the impact of agricultural land use change and globalization on environmental quality in the tropical African Rainforest: evidence from the Congo Basin M. Yufenyuy et al. 10.1007/s11356-023-30702-6
79. Responses of precipitation and water vapor budget on the Chinese Loess Plateau to global land cover change forcing L. Qiu et al. 10.1016/j.jenvman.2024.121588
80. Mapping the presence and distribution of tree species in Canada's forested ecosystems T. Hermosilla et al. 10.1016/j.rse.2022.113276
81. Sensitivities of Vegetation Gross Primary Production to Precipitation Frequency in the Northern Hemisphere from 1982 to 2015 S. Xue & G. Wu 10.3390/rs16010021
82. Integrating remote sensing temporal trajectory and survey statistics to update land use/land cover maps Z. Du et al. 10.1080/17538947.2023.2274422
83. Comparison and Assessment of Different Land Cover Datasets on the Cropland in Northeast China P. Cui et al. 10.3390/rs15215134
84. Mapping a European Spruce Bark Beetle Outbreak Using Sentinel-2 Remote Sensing Data M. Dalponte et al. 10.3390/rs14133135
85. Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area J. Zhang et al. 10.1080/15481603.2021.2022427
86. Nitrogen deposition contributed to a global increase in nitrous oxide emissions from forest soils X. Cen et al. 10.1038/s43247-024-01647-6
87. The relationship of land tenure, land use and land cover changes in Lake Victoria basin J. Katusiime et al. 10.1016/j.landusepol.2023.106542
88. Spatio-temporal evolution of complex agricultural land use and its drivers in a super-large irrigation district (Hetao) of the upper Yellow River Basin (2000–2021) X. Li et al. 10.1007/s11442-025-2322-7
89. Luxury Effect, Heritage Effect, and Land Use Hypotheses Revealing Land Cover Distribution in Hainan Island, China M. Zhu et al. 10.3390/su16167194
90. Assessing the synergistic modulation of evapotranspiration by global impervious surface and vegetation changes R. Shao et al. 10.1016/j.agrformet.2022.109194
91. Unraveling the influence of biogenic volatile organic compounds and their constituents on ozone and SOA formation within the Yellow River Basin, China J. Yong et al. 10.1016/j.chemosphere.2024.141549
92. Satellite Image Time Series Clustering via Time Adaptive Optimal Transport Z. Zhang et al. 10.3390/rs13193993
93. Driving mechanisms and multi-scenario simulation of land use change based on National Land Survey Data: a case in Jianghan Plain, China H. Zhou et al. 10.3389/fenvs.2024.1422987
94. Untangling the effects of climate change and land use/cover change on spatiotemporal variation of evapotranspiration over China X. Li et al. 10.1016/j.jhydrol.2022.128189
95. Response of soil greenhouse gas fluxes to warming: A global meta‐analysis of field studies W. Yan et al. 10.1016/j.geoderma.2022.115865
96. High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China Q. He et al. 10.1016/j.geosus.2024.08.007
97. Heterogeneity of land cover data with discrete classes obscured remotely-sensed detection of sensitivity of forest photosynthesis to climate J. Jin et al. 10.1016/j.jag.2021.102567
98. Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory R. Estoque et al. 10.1088/1748-9326/ac7df5
99. Mapping 10 m global impervious surface area (GISA-10m) using multi-source geospatial data X. Huang et al. 10.5194/essd-14-3649-2022
100. Visualizing Land Cover and Land-Cover Change: A Review of Existing Methods and Remaining Challenges S. Bahramvash Shams et al. 10.3138/cart-2024-0010
101. Analysis of the spatiotemporal changes in global land cover from 2001 to 2020 Q. Jing et al. 10.1016/j.scitotenv.2023.168354
102. Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin, Ethiopia A. Fentaw et al. 10.1155/2024/3937558
103. 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
104. Multifactorial interactions contribute to contrasting wildfire trends at mid–high latitudes of the Northern Hemisphere H. Zhao et al. 10.1016/j.agrformet.2025.110507
105. Spatiotemporal dynamics of vegetation net primary productivity in Chinese ecological function conservation areas: The influences of climate and topography X. Liu et al. 10.1016/j.jnc.2025.126846
106. An integrated assessment of runoff dynamics in the Amu Darya River Basin: Confronting climate change and multiple human activities, 1960–2017 Y. Hu et al. 10.1016/j.jhydrol.2021.126905
107. 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
108. ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications S. Chen et al. 10.1016/j.rse.2023.113616
109. Quantifying the urbanization and climate change-induced impact on changing patterns of rainfall Intensity-Duration-Frequency via nonstationary models P. Xu et al. 10.1016/j.uclim.2024.101990
110. Dams, cropland productivity, and economic development in China X. He 10.1016/j.chieco.2023.102046
111. Global evidence of human well-being and biodiversity impacts of natural climate solutions C. Chang et al. 10.1038/s41893-024-01454-z
112. Spatiotemporal Evolution of Arid Ecosystems Using Thematic Land Cover Products L. Xu et al. 10.3390/rs15123178
113. Developing Long Time Series 1-km Land Cover Maps From 5-km AVHRR Data Using a Super-Resolution Method H. Wang et al. 10.1109/TGRS.2020.3018109
114. Characterizing Forest Cover and Landscape Pattern Using Multi-Source Remote Sensing Data with Ensemble Learning Y. Wang et al. 10.3390/rs14215470
115. Using Time Series Optical and SAR Data to Assess the Impact of Historical Wetland Change on Current Wetland in Zhenlai County, Jilin Province, China S. Shi et al. 10.3390/rs13224514
116. Spatio-temporal coupled dynamics of oasis vegetation succession in response to water conveyance: A comparative study in the Taklimakan Desert Z. Wang et al. 10.1016/j.ecofro.2024.11.012
117. Pre-seasonal temperature trend break dominating the trend break in autumn grassland phenology in China N. Qi et al. 10.1016/j.jag.2023.103590
118. Effects of ecological projects on vegetation in the Three Gorges Area of Chongqing, China F. Li et al. 10.1007/s11629-021-6768-5
119. Dynamic responses of ecological vulnerability to land cover shifts over the Yellow river Basin, China Q. Zhang et al. 10.1016/j.ecolind.2022.109554
120. Spatial distribution, influencing factors, and environmental risk assessments of mercury in surface soils over Xinjiang, northwestern China Z. Yang et al. 10.1016/j.jes.2024.12.021
121. A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model S. Sun et al. 10.5194/essd-15-4849-2023
122. The effects of trade openness on deforestation in the Congo Basin countries A. Melachio Tameko 10.1016/j.forpol.2024.103189
123. Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model R. Li et al. 10.5194/acp-24-7623-2024
124. 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
125. Spatiotemporal variations and driving factors for potential wind erosion on the Mongolian Plateau X. Wei et al. 10.1016/j.scitotenv.2022.160829
126. Global long term daily 1 km surface soil moisture dataset with physics informed machine learning Q. Han et al. 10.1038/s41597-023-02011-7
127. Establishing the global isoscape of leaf carbon in C3 plants through the integrations of remote sensing, carbon, geographic, and physiological information X. Wang et al. 10.1016/j.rse.2023.113987
128. Impact of Urbanization on Seismic Risk: A Study Based on Remote Sensing Data L. An & J. Zhang 10.3390/su14106132
129. Monitoring of Cropland Abandonment and Land Reclamation in the Farming–Pastoral Zone of Northern China J. Ye et al. 10.3390/rs16061089
130. 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
131. Analysis and simulation of the driving mechanism and ecological effects of land cover change in the Weihe River basin, China W. Xu et al. 10.1016/j.jenvman.2023.118320
132. Progressive pollen calendar to detect long-term changes in the biological air quality of cities in the Madrid Region, Spain P. Cervigón et al. 10.1016/j.landurbplan.2024.105053
133. 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
134. Effects of Cropland Expansion on Temperature Extremes in Western India from 1982 to 2015 J. Liu et al. 10.3390/land10050489
135. 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
136. Evolution Simulation and Risk Analysis of Land Use Functions and Structures in Ecologically Fragile Watersheds Y. Wang et al. 10.3390/rs14215521
137. Enhancing Forest‐Steppe Ecotone Mapping Accuracy through Synthetic ApertureRadar‐Optical Remote Sensing Data Fusion and Object-based Analysis R. Wang et al. 10.14358/PERS.23-00070R2
138. Per Capita Cropland Estimations for Traditional Agricultural Areas of China over Past Millennium M. Li et al. 10.3390/land13081122
139. Highly resolved satellite-remote-sensing-based land-use-change inventory yields weaker surface-albedo-induced global cooling X. Jian et al. 10.5194/acp-25-4251-2025
140. Exploring the Relationships between Land Surface Temperature and Its Influencing Factors Using Multisource Spatial Big Data: A Case Study in Beijing, China X. Wang et al. 10.3390/rs15071783
141. Stable Prototype-Guided Single-Temporal Supervised Learning for Change Detection and Extraction of Building S. Hou et al. 10.1109/TGRS.2023.3297850
142. Continuous Long Time Series Monitoring of Urban Construction Land in Supporting the SDG 11.3.1—A Case Study of Nanning, Guangxi, China Z. Ling et al. 10.3390/land12020452
143. The land–energy–water nexus of global bioenergy potentials from abandoned cropland J. Næss et al. 10.1038/s41893-020-00680-5
144. Gradient Boosting Machine and Object-Based CNN for Land Cover Classification Q. Bui et al. 10.3390/rs13142709
145. 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
146. Decomposition of contribution to runoff changes and spatial differences of major tributaries in the middle reaches of the Yellow River based on the Budyko framework Y. Dai et al. 10.2166/nh.2023.061
147. Automatic impervious surface mapping in subtropical China via a terrain-guided gated fusion network Z. Li et al. 10.1016/j.jag.2023.103608
148. Detecting Drought-Related Temporal Effects on Global Net Primary Productivity M. Luo et al. 10.3390/rs16203787
149. A Simple and Automatic Method for Detecting Large-Scale Land Cover Changes Without Training Data G. Lei et al. 10.1109/JSTARS.2023.3299413
150. Recent Developments in Some Long-Term Drought Drivers A. de Jager et al. 10.3390/cli10030031
151. Future land-use changes and its impacts on terrestrial ecosystem services: A review E. Gomes et al. 10.1016/j.scitotenv.2021.146716
152. Assessment of global land cover changes using satellite data: intermittent and long-term land cover changes from 2001 to 2020 S. Chen et al. 10.1088/1748-9326/adb5a3
153. A Method of Evaluating Safe Operating Space: Focus on Geographic Regions, Income Levels and Developing Pathway Y. Zhang et al. 10.1007/s00267-022-01730-8
154. Efficient metric-resolution land cover mapping using open-access low resolution annotations with prototype learning and modified Segment Anything model W. Shi et al. 10.1016/j.isprsjprs.2025.03.021
155. RETRACTED: The Effects of Financial Development and Pandemics Prevalence on Forests: Evidence From Asia-Pacific Region J. Wang et al. 10.3389/fenvs.2022.850724
156. Exploring spatio-temporal patterns of sediment load and driving factors in Lancang-Mekong River basin before operation of mega-dams (1968–2002) F. Tian et al. 10.1016/j.jhydrol.2022.128922
157. Spatio-temporal analysis and simulation of land cover changes and their impacts on land surface temperature in urban agglomeration of Bisha Watershed, Saudi Arabia J. Mallick et al. 10.1080/10106049.2021.1980616
158. Struggle for Climate Rescue: The Euphoria of Plans versus Cold Reality V. Klimenko et al. 10.1134/S0040601523030011
159. GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery M. Zhang et al. 10.5194/essd-13-4799-2021
160. Quantitative impacts of climate change and human activities on grassland growth in Xinjiang, China H. Rui et al. 10.3389/fpls.2024.1497248
161. How is about the flash drought events and their impacts on vegetation in Central Asia Y. Zhu et al. 10.1007/s00382-024-07266-3
162. Mapping Land Use/Cover Dynamics of the Yellow River Basin from 1986 to 2018 Supported by Google Earth Engine Q. Ji et al. 10.3390/rs13071299
163. The Enduring Effects of China's Payments for Ecosystem Services: Short- and Long-Term Industrial Transformations W. Wang & Q. Pan 10.2139/ssrn.4574332
164. Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0 H. Liu et al. 10.1016/j.rse.2021.112364
165. Energy potentials, negative emissions, and spatially explicit environmental impacts of perennial grasses on abandoned cropland in Europe C. Iordan et al. 10.1016/j.eiar.2022.106942
166. Growing biomass carbon stock in China driven by expansion and conservation of woody areas Z. Liao et al. 10.1038/s41561-024-01569-0
167. Changes in different land cover areas and NDVI values in northern latitudes from 1982 to 2015 S. Xue et al. 10.1016/j.accre.2021.04.003
168. Restoration of secondary forest in the Greater Mekong Subregion struggles to offset primary forest carbon losses Z. Peng et al. 10.1016/j.gloplacha.2025.104796
169. Tropospheric Ozone Perturbations Induced by Urban Land Expansion in China from 1980 to 2017 X. Zhang et al. 10.1021/acs.est.1c06664
170. Temporal Dynamics of Global Barren Areas between 2001 and 2022 Derived from MODIS Land Cover Products M. Eliades et al. 10.3390/rs16173317
171. Global desert variation under climatic impact during 1982–2020 Y. Chen et al. 10.1007/s11430-022-1052-1
172. Influence of the ecosystem conversion process on the carbon and water cycles in different regions of China W. Chen et al. 10.1016/j.ecolind.2023.110040
173. Upslope plant species shifts in Mesoamerican cloud forests driven by climate and land use change S. Ramírez-Barahona et al. 10.1126/science.adn2559
174. 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
175. Regional proximity effects of landscape pattern evolution: Evidence from 325 county-level areas in the middle reaches of the Yangtze River, China H. Wang et al. 10.1016/j.scitotenv.2023.166134
176. Coupling coordinated development of the food-energy-water nexus and its relationship with landscape ecological security in China from a regional perspective J. Zhang & C. Zang 10.1007/s40974-022-00254-5
177. Characteristics, impacts, and future research directions of Mongolian peatlands X. Wu et al. 10.1139/er-2024-0070
178. Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al. 10.1016/j.jhydrol.2025.132763
179. An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China Y. Hu et al. 10.3390/rs14051208
180. Fine-scale forest biological hazard in China show significant spatial and temporal heterogeneity Y. Liu et al. 10.1016/j.ecolind.2022.109676
181. Identification and evaluation of soil moisture flash drought by a nonstationary framework considering climate and land cover changes X. Zha et al. 10.1016/j.scitotenv.2022.158953
182. Evaluating the fixed-bed column adsorption capacity of olive pomace biochar activated with KOH and H3PO4 for olive mill wastewater treatment: Insights from TOC and HPLC analysis I. Rabichi et al. 10.1016/j.chemosphere.2025.144356
183. Detection and attribution of urbanization impact on summer extreme heat based on nonstationary models in the Yangtze River Delta, China P. Xu et al. 10.1016/j.uclim.2022.101376
184. 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
185. Vegetation Changes in the Arctic: A Review of Earth Observation Applications M. Wenzl et al. 10.3390/rs16234509
186. Estimating forest aboveground biomass using temporal features extracted from multiple satellite data products and ensemble machine learning algorithm Y. Zhang & J. Liu 10.1080/10106049.2022.2153930
187. Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data Y. He et al. 10.1080/24694452.2022.2077168
188. Crop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data Z. Nigatu et al. 10.1016/j.scitotenv.2022.154007
189. Comparison of time-integrated NDVI and annual maximum NDVI for assessing grassland dynamics J. Yan et al. 10.1016/j.ecolind.2022.108611
190. Dominance of soil moisture over aridity in explaining vegetation greenness across global drylands I. Tripathi et al. 10.1016/j.scitotenv.2024.170482
191. Global patterns of nitrogen saturation in forests X. Cen et al. 10.1016/j.oneear.2024.10.007
192. Mapping the annual dynamics of land cover in Beijing from 2001 to 2020 using Landsat dense time series stack S. Xie et al. 10.1016/j.isprsjprs.2022.01.014
193. 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
194. Past and future adverse response of terrestrial water storages to increased vegetation growth in drylands K. Liu et al. 10.1038/s41612-023-00437-9
195. 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
196. Mapping Large-Scale Bamboo Forest Based on Phenology and Morphology Features X. Feng et al. 10.3390/rs15020515
197. Buen Vivir and forest conservation in Bolivia: False promises or effective change? F. Cappelli et al. 10.1016/j.forpol.2022.102695
198. Timely Plastic-Mulched Cropland Extraction Method from Complex Mixed Surfaces in Arid Regions C. Fu et al. 10.3390/rs14164051
199. Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning H. Wang et al. 10.1016/j.jag.2025.104404
200. Frontier metrics for a process-based understanding of deforestation dynamics M. Baumann et al. 10.1088/1748-9326/ac8b9a
201. A Procedure for Evaluating Historical Land Use Change and Resilience in Highly Reclaimed Coastal Areas: The Case of the Tavoliere di Puglia (Southern Italy) V. De Santis et al. 10.3390/land12040775
202. Dams, Cropland Productivity, and Economic Development in China X. He & Z. Chen 10.2139/ssrn.4110860
203. Contrasting vegetation response to compound temperature and moisture extremes across Northern Hemisphere L. Huang et al. 10.1016/j.jenvman.2025.124598
204. Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets W. Sun et al. 10.1016/j.landusepol.2022.106165
205. Future changes and driving factors of global peak vegetation growth based on CMIP6 simulations H. Teng et al. 10.1016/j.ecoinf.2023.102031
206. The dataset of walled cities and urban extent in late imperial China in the 15th–19th centuries Q. Xue et al. 10.5194/essd-13-5071-2021
207. 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
208. Uncertainties of three high-resolution actual evapotranspiration products across China: Comparisons and applications T. Yao et al. 10.1016/j.atmosres.2023.106682
209. Promoting sustainable solar-energy development in harmony with global threatened bird ranges H. Zhang et al. 10.1016/j.ynexs.2024.100017
210. The imprint of urbanization on PM2.5 concentrations in China: The urban-rural gradient study G. Yun & S. Zhao 10.1016/j.scs.2022.104103
211. Increasing precipitation promoted vegetation growth in the Mongolian Plateau during 2001–2018 C. Li et al. 10.3389/fenvs.2023.1153601
212. Inorganic Carbon Should Be Considered for Carbon Sequestration in Agricultural Soils Y. Liao et al. 10.1111/gcb.70160
213. Shifts in global bat diversity suggest a possible role of climate change in the emergence of SARS-CoV-1 and SARS-CoV-2 R. Beyer et al. 10.1016/j.scitotenv.2021.145413
214. Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing H. Liu et al. 10.3390/land12091764
215. 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
216. Annual dynamic dataset of global cropping intensity from 2001 to 2019 X. Liu et al. 10.1038/s41597-021-01065-9
217. Economic growth and forest transition in Latin America N. Caravaggio 10.1016/j.forpol.2021.102667
218. Temporal Changes in Land Use, Vegetation, and Productivity in Southwest China X. Li et al. 10.3390/land11081331
219. Accurately mapping global wheat production system using deep learning algorithms Y. Luo et al. 10.1016/j.jag.2022.102823
220. Annual dynamics of global land cover and its long-term changes from 1982 to 2015 H. Liu et al. 10.5194/essd-12-1217-2020
221. A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model S. Sun et al. 10.5194/essd-15-4849-2023
222. Highly resolved satellite-remote-sensing-based land-use-change inventory yields weaker surface-albedo-induced global cooling X. Jian et al. 10.5194/acp-25-4251-2025
223. Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways X. Wang et al. 10.1038/s41597-022-01675-x
224. A dataset of land cover and Shannon’s diversity index based on plant functional types in China and its adjacent areas (1992–2018) T. YAN et al. 10.11922/11-6035.csd.2021.0043.zh