210 citations as recorded by crossref.

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13. Land Use and Land Cover Dynamics Analysis of the Togodo Protected Area and Its Surroundings in Southeastern Togo, West Africa A. Akodéwou et al. 10.3390/su12135439
14. Spring Phenological Sensitivity to Climate Change in the Northern Hemisphere: Comprehensive Evaluation and Driving Force Analysis K. Li et al. 10.3390/rs13101972
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19. A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning H. Chen et al. 10.1016/j.agwat.2025.109303
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24. Spatio-Temporal Reorganization of Cropland Development in Central Asia during the Post-Soviet Era: A Sustainable Implication in Kazakhstan W. Wei et al. 10.3390/su10114042
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32. Spatially explicit simulation of deforestation using the Ising-like neutral model T. Stepinski 10.1088/2752-664X/acdbd2
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34. A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
35. Characterizing uncertainties in the ESA-CCI land cover map of the epoch 2010 and their impacts on MPI-ESM climate simulations G. Georgievski & S. Hagemann 10.1007/s00704-018-2675-2
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38. Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon’s entropy models A. Arora et al. 10.1080/10106049.2019.1687594
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40. Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data S. Wang et al. 10.3390/rs14236011
41. A land cover change framework analyzing wildfire-affected areas in bitemporal PRISMA hyperspectral images G. Settembre et al. 10.1016/j.matcom.2024.10.034
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44. Changes in multiple ecosystem services and their influencing factors in Nordic countries X. Hu et al. 10.1016/j.ecolind.2022.109847
45. Flood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach M. Pandey et al. 10.3389/feart.2021.659296
46. China's ecosystem service value in 1992–2018: Pattern and anthropogenic driving factors detection using Bayesian spatiotemporal hierarchy model R. Yang et al. 10.1016/j.jenvman.2021.114089
47. Land cover change-induced decline in terrestrial gross primary production over the conterminous United States from 2001 to 2016 Y. Zhang et al. 10.1016/j.agrformet.2021.108609
48. A Phenology-Based Method to Map Cropping Patterns under a Wheat-Maize Rotation Using Remotely Sensed Time-Series Data J. Liu et al. 10.3390/rs10081203
49. Satellite Observations of the Recovery of Forests and Grasslands in Western China C. Gang et al. 10.1029/2019JG005198
50. Suitability of the Lower Ganga basin groundwater for irrigation, using hydrogeochemical parameters and land-use dynamics M. Hasan & A. Rai 10.1007/s11356-022-24708-9
51. Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis M. Kganyago & L. Shikwambana 10.3390/su11236811
52. A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study C. Paris et al. 10.1109/JSTARS.2022.3209902
53. 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
54. 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
55. Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data X. Liu et al. 10.1080/01431161.2018.1465613
56. Seasonal biological carryover dominates northern vegetation growth X. Lian et al. 10.1038/s41467-021-21223-2
57. Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau P. Sajadi et al. 10.3390/rs13163172
58. Cambios en la cubierta terrestre a través de los mapas ESA-CCI-LC (2000-2015), Ixtacamaxtitlán, Puebla I. Arroyo-Ortega et al. 10.21829/myb.2021.2732210
59. Use of Variable Matrices of Land Cover Changes for the Assessment of Land Dynamics Based on the Indicators of Land Degradation Neutrality G. Kust et al. 10.2205/2025ES001001
60. Contrasting Trends of Forest Coverage between the Inland and Coastal Urban Groups of China over the Past Decades Q. Zhu et al. 10.3390/su11164451
61. Land-Cover Dependent Relationships between Fire and Soil Moisture A. Schaefer & B. Magi 10.3390/fire2040055
62. Mapping plant functional types through phenological insights: a novel approach A. Mohanta et al. 10.1080/10106049.2024.2408288
63. Quantifying responses of net primary productivity to agricultural expansion in drylands N. Pan et al. 10.1002/ldr.3855
64. Prenatal Exposure to Ambient PM2.5 and Early Childhood Growth Impairment Risk in East Africa K. Clarke et al. 10.3390/toxics10110705
65. Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden X. Lu et al. 10.1016/j.envpol.2020.116003
66. Global and regional impacts of land cover changes on isoprene emissions derived from spaceborne data and the MEGAN model B. Opacka et al. 10.5194/acp-21-8413-2021
67. 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
68. Overview of recent land‐cover changes in biodiversity hotspots X. Hu et al. 10.1002/fee.2276
69. The neglected role of abandoned cropland in supporting both food security and climate change mitigation Q. Zheng et al. 10.1038/s41467-023-41837-y
70. Global Maps of Agricultural Expansion Potential at a 300 m Resolution M. Čengić et al. 10.3390/land12030579
71. Size, distribution, and vulnerability of the global soil inorganic carbon Y. Huang et al. 10.1126/science.adi7918
72. Land cover and management effects on ecosystem resistance to drought stress C. Xiao et al. 10.5194/esd-14-1211-2023
73. Monitoring Residual Soil Moisture and Its Association to the Long-Term Variability of Rainfall over the Upper Blue Nile Basin in Ethiopia G. Ayehu et al. 10.3390/rs12132138
74. Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India A. Arora et al. 10.1016/j.scitotenv.2020.141565
75. Variation trend of global soil moisture and its cause analysis Y. Deng et al. 10.1016/j.ecolind.2019.105939
76. Impacts of Extreme Temperature and Precipitation on Crops during the Growing Season in South Asia X. Fan et al. 10.3390/rs14236093
77. Spatially explicit terrestrial carbon densities for calibrating the carbon cycle in human-Earth system Models K. Narayan et al. 10.1038/s41597-025-04723-4
78. Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models P. Horvath et al. 10.5194/bg-18-95-2021
79. Reply to: The risks of overstating the climate benefits of ecosystem restoration B. Strassburg et al. 10.1038/s41586-022-04882-z
80. Comment on “Meta-analysis reveals declines in terrestrial but increases in freshwater insect abundances” M. Desquilbet et al. 10.1126/science.abd8947
81. A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: Evaluation in the Community Earth System Model version 2 (CESM2) D. Leung et al. 10.5194/acp-24-2287-2024
82. Record-high CO 2 emissions from boreal fires in 2021 B. Zheng et al. 10.1126/science.ade0805
83. Estimations of Long-Term nss-SO42– and NO3– Wet Depositions over East Asia by Use of Ensemble Machine-Learning Method X. Lu et al. 10.1021/acs.est.0c01068
84. Spatiotemporal Patterns of Ecosystem Restoration Activities and Their Effects on Changes in Terrestrial Gross Primary Production in Southwest China Z. Ding et al. 10.3390/rs13061209
85. Terpene emissions from boreal wetlands can initiate stronger atmospheric new particle formation than boreal forests H. Junninen et al. 10.1038/s43247-022-00406-9
86. Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes Y. Pan et al. 10.1088/1748-9326/acca34
87. The land–energy–water nexus of global bioenergy potentials from abandoned cropland J. Næss et al. 10.1038/s41893-020-00680-5
88. Global leaf‐trait mapping based on optimality theory N. Dong et al. 10.1111/geb.13680
89. Integrating high-resolution data and species-level traits for enhanced ecosystem projections using a dynamic vegetation model: Case study in Wallonia, Belgium A. Verma et al. 10.1016/j.jenvman.2025.124329
90. Integrated assessment of the supply–demand relationship of ecosystem services in the Loess Plateau during 1992–2015 D. Wang et al. 10.1080/20964129.2022.2130093
91. A daily, 250 m and real-time gross primary productivity product (2000–present) covering the contiguous United States C. Jiang et al. 10.5194/essd-13-281-2021
92. Comparison and Assessment of Regional and Global Land Cover Datasets for Use in CLASS over Canada L. Wang et al. 10.3390/rs11192286
93. Comparison of uncertainties in land-use change fluxes from bookkeeping model parameterisation A. Bastos et al. 10.5194/esd-12-745-2021
94. Global hydro-climatic biomes identified via multitask learning C. Papagiannopoulou et al. 10.5194/gmd-11-4139-2018
95. Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET H. Che et al. 10.1016/j.chemosphere.2019.06.238
96. Co-benefits and trade-offs of agroforestry for climate change mitigation and other sustainability goals in West Africa H. Tschora & F. Cherubini 10.1016/j.gecco.2020.e00919
97. Trade-Off and Synergy Relationships of Ecosystem Services and Driving Force Analysis based on Land Cover Change in Altay Prefecture L. Hao et al. 10.5814/j.issn.1674-764x.2021.06.006
98. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. 10.1029/2019GB006393
99. Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future A. Andries et al. 10.3390/su14031191
100. Comparison of forest above‐ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation‐based estimates H. Yang et al. 10.1111/gcb.15117
101. Assessment of the Characteristics of Recent Major Wildfires in the USA, Australia and Brazil in 2018–2019 Using Multi-Source Satellite Products M. Kganyago & L. Shikwambana 10.3390/rs12111803
102. Spatial and Temporal Trends of Burnt Area in Angola: Implications for Natural Vegetation and Protected Area Management S. Catarino et al. 10.3390/d12080307
103. Dynamics of Biotic Carbon Fluxes under Different Scenarios of Forest Area Changes V. Klimenko et al. 10.1134/S0001433820040039
104. Effects of Vegetation Change on Soil Erosion by Water in Major Basins, Central Asia K. Qian et al. 10.3390/rs14215507
105. Framework for Remote Sensing and Modelling of Lithium-Brine Deposit Formation C. Rossi et al. 10.3390/rs14061383
106. Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests B. Sakschewski et al. 10.5194/bg-18-4091-2021
107. Altered growth conditions more than reforestation counteracted forest biomass carbon emissions 1990–2020 J. Le Noë et al. 10.1038/s41467-021-26398-2
108. Identifying patterns and hotspots of global land cover transitions using the ESA CCI Land Cover dataset X. Liu et al. 10.1080/2150704X.2018.1500070
109. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
110. Use of intensity analysis and transfer matrix to characterize land conversion in the Aral Sea Basin under changing climate T. Berdimbetov et al. 10.1007/s40808-024-02019-x
111. Non-Ignorable Differences in NIRv-Based Estimations of Gross Primary Productivity Considering Land Cover Change and Discrepancies in Multisource Products J. Jin et al. 10.3390/rs15194693
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113. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change? Q. Huang et al. 10.1016/j.catena.2023.107650
114. Rising CO2 and warming reduce global canopy demand for nitrogen N. Dong et al. 10.1111/nph.18076
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116. Impact Analysis of Land Use and Land Cover Change on Karez in Turpan Basin of China Q. Li et al. 10.3390/rs15082146
117. Separating Biomass Gains and Losses of Planted Forest and Natural Forest and Their Contributions to Forest Biomass Carbon Storage in China for 2005–2020 H. Yan et al. 10.3390/f16060884
118. Global deforestation revisited: The role of weak institutions I. Moreira-Dantas & M. Söder 10.1016/j.landusepol.2022.106383
119. 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
120. Sensitivity of Convection-Permitting Regional Climate Simulations to Changes in Land Cover Input Data: Role of Land Surface Characteristics for Temperature and Climate Extremes M. Tölle & E. Churiulin 10.3389/feart.2021.722244
121. Investigating the Impact of Digital Elevation Models on Sentinel-1 Backscatter and Coherence Observations I. Borlaf-Mena et al. 10.3390/rs12183016
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124. Agricultural and forestry trade drives large share of tropical deforestation emissions F. Pendrill et al. 10.1016/j.gloenvcha.2019.03.002
125. Spatiotemporal Variations and Influencing Factors of Terrestrial Evapotranspiration and Its Components during Different Impoundment Periods in the Three Gorges Reservoir Area Y. Ji et al. 10.3390/w13152111
126. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
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129. Cropland trees need to be included for accurate model simulations of land-atmosphere heat fluxes, temperature, boundary layer height, and ozone A. Mishra et al. 10.1016/j.scitotenv.2020.141728
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133. Realistic Quasi‐Biennial Oscillation Variability in Historical and Decadal Hindcast Simulations Using CMIP6 Forcing H. Pohlmann et al. 10.1029/2019GL084878
134. Holistic MILP-based approach for rural electrification planning A. Dimovski et al. 10.1016/j.esr.2023.101171
135. Global Land Cover Mapping Using Annual Clear-sky Composites from FY3D/MERSI-II Y. Wang & G. Li 10.1080/01431161.2021.2019848
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143. A synthesis of mercury research in the Southern Hemisphere, part 2: Anthropogenic perturbations J. Fisher et al. 10.1007/s13280-023-01840-5
144. Delineation of groundwater potential zones using GIS and AHP techniques in Coimbatore district, South India K. Kom et al. 10.1007/s42108-022-00188-y
145. Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink T. Tagesson et al. 10.1038/s41559-019-1090-0
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147. Modulation of structural and functional traits in facultative halophyte Salvadora oleoides Decne. For adaptability under hyper-arid and saline environments U. Iqbal et al. 10.1016/j.jaridenv.2023.104965
148. 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
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156. Overview of recent land cover changes, forest harvest areas, and soil erosion trends in Nordic countries N. Zhou et al. 10.1016/j.geosus.2021.07.001
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158. Smaller global and regional carbon emissions from gross land use change when considering sub-grid secondary land cohorts in a global dynamic vegetation model C. Yue et al. 10.5194/bg-15-1185-2018
159. 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
160. Drought Risk Assessment in Cultivated Areas of Central Asia Using MODIS Time-Series Data N. Aitekeyeva et al. 10.3390/w12061738
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163. Spatial and Temporal Variations of Forest Cover in Developing Countries Q. Duan & M. Tan 10.3390/su11061517
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169. Relationships between Land-Use Changes and Population Declines of the European Turtle Dove Streptopelia turtur in Spain and France A. Estrada et al. 10.13157/arla.71.2.2024.ra8
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