165 citations as recorded by crossref.

1. Impact of deforestation and climate on the Amazon Basin’s above-ground biomass during 1993–2012 J. Exbrayat et al. https://doi.org/10.1038/s41598-017-15788-6
2. Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review F. Frappart et al. https://doi.org/10.3390/rs12182915
3. Spatio-temporal evaluation of resolution enhancement for passive microwave soil moisture and vegetation optical depth A. Gevaert et al. https://doi.org/10.1016/j.jag.2015.08.006
4. Influence of hydroclimatic variability on dengue incidence in a tropical dryland area A. Costa et al. https://doi.org/10.1016/j.actatropica.2022.106657
5. Passive microwave and optical index approaches for estimating surface conductance and evapotranspiration in forest ecosystems V. Barraza et al. https://doi.org/10.1016/j.agrformet.2015.06.020
6. Estimating grassland curing with remotely sensed data W. Chaivaranont et al. https://doi.org/10.5194/nhess-18-1535-2018
7. Examining the linkage between shrub encroachment and recent greening in water‐limited southern Africa M. Saha et al. https://doi.org/10.1890/ES15-00098.1
8. More than carbon sequestration: Biophysical climate benefits of restored savanna woodlands J. Syktus & C. McAlpine https://doi.org/10.1038/srep29194
9. Climatic and non-climatic vegetation cover changes in the rangelands of Africa F. D'Adamo et al. https://doi.org/10.1016/j.gloplacha.2021.103516
10. Investigating the response of leaf area index to droughts in southern African vegetation using observations and model simulations S. Lawal et al. https://doi.org/10.5194/hess-26-2045-2022
11. Vegetation Dynamics in the Upper Guinean Forest Region of West Africa from 2001 to 2015 Z. Liu et al. https://doi.org/10.3390/rs9010005
12. Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography C. Moore et al. https://doi.org/10.5194/bg-13-5085-2016
13. An Evaluation of Vegetation Health in and around Southern African National Parks during the 21st Century (2000–2016) H. Herrero et al. https://doi.org/10.3390/app10072366
14. The Compensatory CO2 Fertilization and Stomatal Closure Effects on Runoff Projection From 2016–2099 in the Western United States X. Zhang et al. https://doi.org/10.1029/2021WR030046
15. Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective T. Xu et al. https://doi.org/10.3390/rs15122975
16. Woody plant decline in the Sahel of western Niger (1996–2017):is it driven by climate or land use changes? P. Hiernaux et al. https://doi.org/10.1016/j.jaridenv.2022.104719
17. Integrating Surface-Based Temperature and Vegetation Abundance Estimates into Land Cover Classifications for Conservation Efforts in Savanna Landscapes H. Herrero et al. https://doi.org/10.3390/s19163456
18. Time-variations of zeroth-order vegetation absorption and scattering at L-band M. Baur et al. https://doi.org/10.1016/j.rse.2021.112726
19. Woody-biomass projections and drivers of change in sub-Saharan Africa C. Ross et al. https://doi.org/10.1038/s41558-021-01034-5
20. Why Is the Terrestrial Water Storage in Dryland Regions Declining? A Perspective Based on Gravity Recovery and Climate Experiment Satellite Observations and Noah Land Surface Model With Multiparameterization Schemes Model Simulations L. Chang et al. https://doi.org/10.1029/2020WR027102
21. A carbon sink-driven approach to estimate gross primary production from microwave satellite observations I. Teubner et al. https://doi.org/10.1016/j.rse.2019.04.022
22. A new method for describing the inundation status of floodplain wetland X. Dong & C. Hu https://doi.org/10.1016/j.ecolind.2021.108144
23. Vegetation Mapping by Using GPM/DPR over the Mongolian Land B. Nyamsuren et al. https://doi.org/10.3390/rs11202386
24. Assessment of Desertification Dynamics in Arid Coastal Areas by Integrating Remote Sensing Data and Statistical Techniques S. Hasan et al. https://doi.org/10.3390/su16114527
25. Pollination and Phenological Study of Balanites aegyptiaca (L.) Del. in the Sudano-Sahelian Zone (Far North, Cameroon) M. Tii & T. . https://doi.org/10.3923/ajps.2024.205.217
26. Multi-objective assessment of three remote sensing vegetation products for streamflow prediction in a conceptual ecohydrological model B. Naseem et al. https://doi.org/10.1016/j.jhydrol.2016.10.038
27. Human impacts in African savannas are mediated by plant functional traits C. Osborne et al. https://doi.org/10.1111/nph.15236
28. Analyzing satellite and airborne Ka-band passive microwave observations over land for temperature and vegetation monitoring R. de Jeu et al. https://doi.org/10.3389/frsen.2025.1574072
29. Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities H. West et al. https://doi.org/10.1016/j.rse.2019.111291
30. Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau X. Zhou et al. https://doi.org/10.1016/j.scitotenv.2017.10.253
31. Remote sensing of drought: Progress, challenges and opportunities A. AghaKouchak et al. https://doi.org/10.1002/2014RG000456
32. Comparative Evaluation of Microwave L-Band VOD and Optical NDVI for Agriculture Drought Detection over Central Europe M. Afshar et al. https://doi.org/10.3390/rs13071251
33. Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe M. Vreugdenhil et al. https://doi.org/10.3390/rs12203404
34. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle B. Poulter et al. https://doi.org/10.1038/nature13376
35. Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations A. Konings et al. https://doi.org/10.1016/j.rse.2015.11.009
36. Inappropriateness of space-for-time and variability-for-time approaches to infer future dryland productivity changes W. Zhan et al. https://doi.org/10.3389/fenvs.2022.1010269
37. Remote sensing of vegetation dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel F. Tian et al. https://doi.org/10.1016/j.rse.2016.02.056
38. Ecosystem services in dryland systems of the world A. Castro et al. https://doi.org/10.1016/j.jaridenv.2018.09.006
39. Ecosystem resilience to the Millennium drought in southeast Australia (2001–2009) Y. Sawada & T. Koike https://doi.org/10.1002/2016JG003356
40. Contribution of water-limited ecoregions to their own supply of rainfall D. Miralles et al. https://doi.org/10.1088/1748-9326/11/12/124007
41. Grazing Into the Anthropocene or Back to the Future? R. Behnke https://doi.org/10.3389/fsufs.2021.638806
42. Annual South American forest loss estimates based on passive microwave remote sensing (1990–2010) M. van Marle et al. https://doi.org/10.5194/bg-13-609-2016
43. Long-term dynamics of woodland vegetation with response of climate variability in the lowlands of north western part of Ethiopia T. Mucheye et al. https://doi.org/10.1007/s10668-019-00569-0
44. Land cover change in global drylands: A review H. Wang et al. https://doi.org/10.1016/j.scitotenv.2022.160943
45. Relative Importance of Climatic and Anthropogenic Drivers on the Dynamics of Aboveground Biomass across Agro-Ecological Zones on the Mongolian Plateau X. Zhou & Y. Yamaguchi https://doi.org/10.3390/su10103435
46. Effects of bush encroachment on plant composition, diversity and carbon stock in Borana rangelands, Southern Ethiopia K. Siraj & G. Abdella https://doi.org/10.5897/IJBC2017.1143
47. On underestimation of global vulnerability to tree mortality and forest die‐off from hotter drought in the Anthropocene C. Allen et al. https://doi.org/10.1890/ES15-00203.1
48. Effect of Elevation on the Density and Species Composition of Encroacher Woody Plants in Borana Rangeland, Southern Ethiopia Z. Bora et al. https://doi.org/10.1007/s00267-021-01458-x
49. Assessing the impacts of climate and human activities on NDVI trends in Shanxi Province, a semiarid–semihumid region of China Y. Sun et al. https://doi.org/10.1016/j.rsase.2026.101913
50. Assessing hydro-ecological vulnerability using microwave radiometric measurements from WindSat D. Stampoulis et al. https://doi.org/10.1016/j.rse.2016.06.007
51. Resistance or Resilience? Different Adaptation Patterns of Native and Invasive Plants to Climatic Extremes in the Banni Grassland N. Vijay & M. Resmi https://doi.org/10.1007/s11104-025-08058-2
52. Disentangling the dominance of atmospheric and soil water stress on vegetation productivity in global drylands J. Yu et al. https://doi.org/10.1016/j.jhydrol.2025.133043
53. Proximal measurements of microwave reflectance using GNSS-IR track semi-arid grassland vegetation dynamics during greening and browning phases C. Devine et al. https://doi.org/10.1016/j.agrformet.2026.111136
54. Monitoring of Vegetation Disturbance around Protected Areas in Central Tanzania Using Landsat Time-Series Data A. Komba et al. https://doi.org/10.3390/rs13091800
55. Characterization of global fire activity and its spatiotemporal patterns for different land cover types from 2001 to 2020 X. Yang et al. https://doi.org/10.1016/j.envres.2023.115746
56. Assessing Vegetation Dynamics Over Mainland Australia With Metop ASCAT M. Vreugdenhil et al. https://doi.org/10.1109/JSTARS.2016.2618838
57. Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework Y. Wang et al. https://doi.org/10.1002/hyp.14118
58. Temperature rise may explain grass depletion in the Chihuahuan Desert G. Kidron & V. Gutschick https://doi.org/10.1002/eco.1849
59. The Microwave Temperature Vegetation Drought Index (MTVDI) based on AMSR-E brightness temperatures for long-term drought assessment across China (2003–2010) L. Liu et al. https://doi.org/10.1016/j.rse.2017.07.012
60. Driving forces of recent vegetation changes in the Sahel: Lessons learned from regional and local level analyses L. Leroux et al. https://doi.org/10.1016/j.rse.2017.01.014
61. Preliminary evidence of upland plant encroachment in high‐elevation wetlands of Volcanoes National Park, Rwanda D. Tuyizere et al. https://doi.org/10.1111/aje.13124
62. Multifaceted characteristics of dryland aridity changes in a warming world X. Lian et al. https://doi.org/10.1038/s43017-021-00144-0
63. L-band vegetation optical depth seasonal metrics for crop yield assessment D. Chaparro et al. https://doi.org/10.1016/j.rse.2018.04.049
64. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes C. Yue et al. https://doi.org/10.5194/gmd-7-2747-2014
65. Remote sensing for monitoring tropical dryland forests: a review of current research, knowledge gaps and future directions for Southern Africa R. David et al. https://doi.org/10.1088/2515-7620/ac5b84
66. Land surface phenological response to decadal climate variability across Australia using satellite remote sensing M. Broich et al. https://doi.org/10.5194/bg-11-5181-2014
67. SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product R. Fernandez-Moran et al. https://doi.org/10.3390/rs9050457
68. Global vegetation gross primary production estimation using satellite-derived light-use efficiency and canopy conductance M. Yebra et al. https://doi.org/10.1016/j.rse.2015.03.016
69. Climate change–drylands–food security nexus in Africa: From the perspective of technical advances, challenges, and opportunities H. Hirwa et al. https://doi.org/10.3389/fenvs.2022.851249
70. An over review of desertification in Xinjiang, Northwest China X. Yu et al. https://doi.org/10.1007/s40333-022-0077-x
71. Assessing the relationship between microwave vegetation optical depth and gross primary production I. Teubner et al. https://doi.org/10.1016/j.jag.2017.10.006
72. Sensitivity of Global Pasturelands to Climate Variation R. Stanimirova et al. https://doi.org/10.1029/2019EF001316
73. NDVI Characteristics and Influencing Factors of Typical Ecosystems in the Semi-Arid Region of Northern China: A Case Study of the Hulunbuir Grassland Y. Zhao et al. https://doi.org/10.3390/land12030713
74. Monitoring ecosystem dynamics in northwestern Ethiopia using NDVI and climate variables to assess long term trends in dryland vegetation variability W. Zewdie et al. https://doi.org/10.1016/j.apgeog.2016.12.019
75. Reconciling historical changes in the hydrological cycle over land S. Hobeichi et al. https://doi.org/10.1038/s41612-022-00240-y
76. Vegetation Browning Trends in Spring and Autumn over Xinjiang, China, during the Warming Hiatus M. Li et al. https://doi.org/10.3390/rs14051298
77. The human–environment nexus and vegetation–rainfall sensitivity in tropical drylands C. Abel et al. https://doi.org/10.1038/s41893-020-00597-z
78. A human-driven decline in global burned area N. Andela et al. https://doi.org/10.1126/science.aal4108
79. Understanding Environmental Factors Influencing Vegetation Cover Downstream of Dams R. Almalki et al. https://doi.org/10.1007/s41742-024-00675-6
80. Detecting inundation thresholds for dryland wetland vulnerability S. Sandi et al. https://doi.org/10.1016/j.advwatres.2019.04.016
81. Estimation of relative canopy absorption and scattering at L-, C- and X-bands M. Baur et al. https://doi.org/10.1016/j.rse.2019.111384
82. Satellite Observed Positive Impacts of Fog on Vegetation N. Qiao et al. https://doi.org/10.1029/2020GL088428
83. Lateral Flow and Contributing Area Control Vegetation Cover in a Semiarid Environment T. Svoray et al. https://doi.org/10.1029/2021WR030998
84. Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades J. Xue et al. https://doi.org/10.3390/rs13204063
85. Long term trend and interannual variability of land carbon uptake—the attribution and processes Z. Fu et al. https://doi.org/10.1088/1748-9326/aa5685
86. Optimizing global forest burned area simulations: Multi-earth system model assessment, Bayesian model averaging synthesis, and climate drivers X. Wang & Z. Di https://doi.org/10.1016/j.gloplacha.2026.105390
87. Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval M. Vreugdenhil et al. https://doi.org/10.1109/TGRS.2016.2519842
88. Dense canopies browning overshadowed by global greening dominant in sparse canopies B. Qiu et al. https://doi.org/10.1016/j.scitotenv.2022.154222
89. Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa M. Brandt et al. https://doi.org/10.1038/s41559-017-0081
90. Estimating fire severity and carbon emissions over Australian tropical savannahs based on passive microwave satellite observations X. Chen et al. https://doi.org/10.1080/01431161.2018.1460507
91. The Influence of Climate, Atmospheric Pollution, and Natural Disasters on Cardiovascular Diseases and Diabetes Mellitus in Drylands: A Scoping Review R. Moreira et al. https://doi.org/10.3389/phrs.2024.1607300
92. Unravelling soil moisture uncertainties in GRACE groundwater modelling I. Kalu et al. https://doi.org/10.1016/j.jhydrol.2024.132489
93. Evaluating the cumulative and time-lag effects of vegetation response to drought in the Lancang-Mekong River basin Y. Lai et al. https://doi.org/10.1016/j.ecolind.2025.114113
94. Reconciling Negative Soil CO2 Fluxes: Insights from a Large-Scale Experimental Hillslope A. Cueva et al. https://doi.org/10.3390/soilsystems3010010
95. Climate change impacts on water security in global drylands L. Stringer et al. https://doi.org/10.1016/j.oneear.2021.05.010
96. Monitoring spatially heterogeneous riparian vegetation around permanent waterholes: A method to integrate LiDAR and Landsat data for enhanced ecological interpretation of Landsat fPAR time-series M. Henriques et al. https://doi.org/10.1016/j.rse.2024.114382
97. Assessment of Rangeland Degradation in New Mexico Using Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND) M. Gedefaw et al. https://doi.org/10.3390/rs13091618
98. Introducing water-stressed shrubland into the Canadian Land Surface Scheme S. Sun & D. Verseghy https://doi.org/10.1016/j.jhydrol.2019.124157
99. Land use significantly improved grassland degradation and desertification states in China over the last two decades Y. Zhao et al. https://doi.org/10.1016/j.jenvman.2023.119419
100. Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000 H. Li et al. https://doi.org/10.3390/rs16193706
101. Greening and browning of global drylands: climatic constraints from soil moisture and atmospheric water demand M. Daramola et al. https://doi.org/10.1007/s00704-026-06209-8
102. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. https://doi.org/10.1088/2515-7620/ab25d2
103. Enhancing the Noah‐MP Ecosystem Response to Droughts With an Explicit Representation of Plant Water Storage Supplied by Dynamic Root Water Uptake G. Niu et al. https://doi.org/10.1029/2020MS002062
104. Framework for near real-time forest inventory using multi source remote sensing data N. Coops et al. https://doi.org/10.1093/forestry/cpac015
105. Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. https://doi.org/10.5194/hess-23-1067-2019
106. Livestock trampling routes regulate biocrust composition in drylands: Implications for geodiversity and functioning I. Stavi et al. https://doi.org/10.1007/s11442-025-2419-z
107. A Systematic Review on Remote Sensing of Dryland Ecological Integrity: Improvement in the Spatiotemporal Monitoring of Vegetation Is Required A. Sutton et al. https://doi.org/10.3390/rs18010184
108. Ecological and vegetation responses in a humid region in southern China during a historic drought T. Yang et al. https://doi.org/10.1016/j.jenvman.2024.122986
109. Sensitivity of remote sensing-based vegetation proxies to climate and sea surface temperature variabilities in Australia and parts of Southeast Asia S. Arjasakusuma et al. https://doi.org/10.1080/01431161.2020.1782509
110. Accelerated dryland expansion regulates future variability in dryland gross primary production J. Yao et al. https://doi.org/10.1038/s41467-020-15515-2
111. Dryland productivity under a changing climate L. Wang et al. https://doi.org/10.1038/s41558-022-01499-y
112. Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations T. Janssen et al. https://doi.org/10.5194/bg-18-4445-2021
113. Flood hazards and susceptibility detection for Ganga river, Bihar state, India: Employment of remote sensing and statistical approaches Z. Yaseen https://doi.org/10.1016/j.rineng.2023.101665
114. Global distribution of degraded land area based on dust erodibility determined from satellite data R. Kimura https://doi.org/10.1080/01431161.2018.1444295
115. African dryland ecosystem changes controlled by soil water F. Wei et al. https://doi.org/10.1002/ldr.3342
116. Divergent trends in grassland degradation and desertification under land use and climate change in Central Asia from 2000 to 2020 Y. Zhao et al. https://doi.org/10.1016/j.ecolind.2023.110737
117. Mapping global drought-induced forest mortality based on multiple satellite vegetation optical depth data X. Zhang et al. https://doi.org/10.1016/j.rse.2024.114406
118. Enhanced canopy growth precedes senescence in 2005 and 2010 Amazonian droughts Y. Liu et al. https://doi.org/10.1016/j.rse.2018.03.035
119. Climate Drivers Contribute in Vegetation Greening Stalls of Arid Xinjiang, China: An Atmospheric Water Drying Effect M. Li et al. https://doi.org/10.3390/w14132019
120. Multi-index time series monitoring of drought and fire effects on desert grasslands M. Villarreal et al. https://doi.org/10.1016/j.rse.2016.05.026
121. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. https://doi.org/10.5194/gmd-10-4443-2017
122. The 2019–2020 Australian Drought and Bushfires Altered the Partitioning of Hydrological Fluxes S. Kumar et al. https://doi.org/10.1029/2020GL091411
123. Interacting Effects of Leaf Water Potential and Biomass on Vegetation Optical Depth M. Momen et al. https://doi.org/10.1002/2017JG004145
124. Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges M. Vreugdenhil et al. https://doi.org/10.3389/frwa.2022.1045451
125. On the performance of remote sensing time series reconstruction methods – A spatial comparison J. Zhou et al. https://doi.org/10.1016/j.rse.2016.10.025
126. Widespread decline of Congo rainforest greenness in the past decade L. Zhou et al. https://doi.org/10.1038/nature13265
127. The influence of vegetation water dynamics on the ASCAT backscatter–incidence angle relationship in the Amazon A. Petchiappan et al. https://doi.org/10.5194/hess-26-2997-2022
128. Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. https://doi.org/10.5194/bg-20-1027-2023
129. Carbon sink despite large deforestation in African tropical dry forests (miombo woodlands) J. Pelletier et al. https://doi.org/10.1088/1748-9326/aadc9a
130. Forecasting dryland vegetation condition months in advance through satellite data assimilation S. Tian et al. https://doi.org/10.1038/s41467-019-08403-x
131. An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa N. Rodríguez-Fernández et al. https://doi.org/10.5194/bg-15-4627-2018
132. Utilizing Multiple Lines of Evidence to Determine Landscape Degradation within Protected Area Landscapes: A Case Study of Chobe National Park, Botswana from 1982 to 2011 H. Herrero et al. https://doi.org/10.3390/rs8080623
133. Grassland greening on the Mongolian Plateau despite higher grazing intensity L. Miao et al. https://doi.org/10.1002/ldr.3767
134. Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change X. Zhang et al. https://doi.org/10.1038/s43247-024-01463-y
135. Agricultural drought monitoring: Progress, challenges, and prospects X. Liu et al. https://doi.org/10.1007/s11442-016-1297-9
136. Assimilation of vegetation optical depth retrievals from passive microwave radiometry S. Kumar et al. https://doi.org/10.5194/hess-24-3431-2020
137. Constraints and Opportunities for Detecting Land Surface Phenology in Drylands S. Taylor et al. https://doi.org/10.34133/2021/9859103
138. Monitoring LULC Change in a Freshwater Swamp Forest of Bangladesh: A Remote Sensing-Based Interpretation of Conservation Policy Outcomes S. Chowdhury et al. https://doi.org/10.1007/s41748-025-00734-8
139. Ecosystem services from southern African woodlands and their future under global change C. Ryan et al. https://doi.org/10.1098/rstb.2015.0312
140. Quantifying influences of physiographic factors on temperate dryland vegetation, Northwest China Z. Du et al. https://doi.org/10.1038/srep40092
141. Driving Factors of Recent Vegetation Changes in Hexi Region, Northwest China Based on a New Classification Framework J. Wang et al. https://doi.org/10.3390/rs12111758
142. Enhanced daily retrieval of Evapotranspiration from a Transformer-based deep learning model combined with satellite passive microwave and optical observations F. Bu et al. https://doi.org/10.1016/j.isprsjprs.2026.05.027
143. Understanding global land degradation processes interacted with complex biophysics and socioeconomics from the perspective of the Normalized Difference Vegetation Index (1982–2015) H. Li et al. https://doi.org/10.1016/j.gloplacha.2021.103431
144. Bedrock mediates responses of ecosystem productivity to climate variability X. Dong et al. https://doi.org/10.1038/s43247-023-00773-x
145. Examining the relationship between vegetation decline and precipitation in the national parks of the Greater Limpopo Transfrontier Conservation Area during the 21st century H. Herrero et al. https://doi.org/10.3389/fenvs.2023.1106849
146. The Paramo Fire Atlas: quantifying burned area and trends across the Tropical Andes L. Obando-Cabrera et al. https://doi.org/10.1088/1748-9326/adc8ba
147. Combining gradual and abrupt analysis to detect variation of vegetation greenness on the loess areas of China P. He et al. https://doi.org/10.1007/s11707-021-0891-z
148. Dynamics of global dryland vegetation were more sensitive to soil moisture: Evidence from multiple vegetation indices H. Liu et al. https://doi.org/10.1016/j.agrformet.2023.109327
149. Mapping gains and losses in woody vegetation across global tropical drylands F. Tian et al. https://doi.org/10.1111/gcb.13464
150. RETRACTED: Road urban planning sustainability based on remote sensing and satellite dataset: A review K. Mhana et al. https://doi.org/10.1016/j.heliyon.2024.e39567
151. A Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century H. Herrero et al. https://doi.org/10.3390/rs12030476
152. Untangling the impacts of socioeconomic and climatic changes on vegetation greenness and productivity in Kazakhstan K. Venkatesh et al. https://doi.org/10.1088/1748-9326/ac8c59
153. Changes in rainfall distribution promote woody foliage production in the Sahel M. Brandt et al. https://doi.org/10.1038/s42003-019-0383-9
154. Global Coordination in Plant Physiological and Rooting Strategies in Response to Water Stress Y. Liu et al. https://doi.org/10.1029/2020GB006758
155. Water Use and Soil Moisture Relationships on Western Juniper Trees at Different Growth Stages M. Abdallah et al. https://doi.org/10.3390/w12061596
156. Vegetation cover dependence on accumulated antecedent precipitation in Australia: Relationships with photosynthetic and non-photosynthetic vegetation fractions J. Guerschman et al. https://doi.org/10.1016/j.rse.2020.111670
157. Responses of forests, cultivated lands, and grasslands to climatic factors at a basin scale C. Liu et al. https://doi.org/10.1007/s00704-026-06181-3
158. Effects of juniper removal and rainfall variation on tree transpiration in a semi-arid karst: evidence of complex water storage dynamics H. Cardella Dammeyer et al. https://doi.org/10.1002/hyp.10938
159. L-band vegetation optical depth and effective scattering albedo estimation from SMAP A. Konings et al. https://doi.org/10.1016/j.rse.2017.06.037
160. Suppression of rainfall by fires in African drylands M. Saha et al. https://doi.org/10.1002/2016GL069855
161. Land productivity dynamics in Socotra Island (Yemen) M. Rezende et al. https://doi.org/10.1007/s12210-020-00928-4
162. Mapping precipitation-corrected NDVI trends across Namibia V. Wingate et al. https://doi.org/10.1016/j.scitotenv.2019.05.158
163. Stable carbon analysis of alluvial paleosols in the Mixteca Alta, Oaxaca, Mexico G. Holdridge & D. Leigh https://doi.org/10.1016/j.quaint.2018.05.020
164. Spatiotemporal Patterns of Vegetation Stress and Hydroclimatic Responses in the CWANA Region (2000–2024) T. Ha et al. https://doi.org/10.1007/s41748-026-01107-5
165. The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink A. Ahlström et al. https://doi.org/10.1126/science.aaa1668