47 citations as recorded by crossref.

1. 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
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4. Decreasing control of precipitation on grassland spring phenology in temperate China Y. Fu et al. 10.1111/geb.13234
5. The land–energy–water nexus of global bioenergy potentials from abandoned cropland J. Næss et al. 10.1038/s41893-020-00680-5
6. 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
7. Gradient Boosting Machine and Object-Based CNN for Land Cover Classification Q. Bui et al. 10.3390/rs13142709
8. Effects of ecological projects on vegetation in the Three Gorges Area of Chongqing, China F. Li et al. 10.1007/s11629-021-6768-5
9. Tropospheric Ozone Perturbations Induced by Urban Land Expansion in China from 1980 to 2017 X. Zhang et al. 10.1021/acs.est.1c06664
10. Satellite Image Time Series Clustering via Time Adaptive Optimal Transport Z. Zhang et al. 10.3390/rs13193993
11. 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
12. 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
13. 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
14. 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
15. Recent Developments in Some Long-Term Drought Drivers A. de Jager et al. 10.3390/cli10030031
16. Future land-use changes and its impacts on terrestrial ecosystem services: A review E. Gomes et al. 10.1016/j.scitotenv.2021.146716
17. Did Climate Change Influence the Emergence, Transmission, and Expression of the COVID-19 Pandemic? S. Gupta et al. 10.3389/fmed.2021.769208
18. 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
19. An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China Y. Hu et al. 10.3390/rs14051208
20. Global land use changes are four times greater than previously estimated K. Winkler et al. 10.1038/s41467-021-22702-2
21. 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
22. Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network V. Pham & Q. Bui 10.1080/2150704X.2021.1918789
23. 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
24. Time series analysis for global land cover change monitoring: A comparison across sensors L. Xu et al. 10.1016/j.rse.2022.112905
25. The Effects of Financial Development and Pandemics Prevalence on Forests: Evidence From Asia-Pacific Region J. Wang et al. 10.3389/fenvs.2022.850724
26. Effects of Cropland Expansion on Temperature Extremes in Western India from 1982 to 2015 J. Liu et al. 10.3390/land10050489
27. Trends in Lakeshore Zone Development: A Comparison of Polish and Hungarian Lakes over 30-Year Period G. Furgała-Selezniow et al. 10.3390/ijerph19042141
28. 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
29. 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
30. 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
31. GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery M. Zhang et al. 10.5194/essd-13-4799-2021
32. 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
33. Comparison of time-integrated NDVI and annual maximum NDVI for assessing grassland dynamics J. Yan et al. 10.1016/j.ecolind.2022.108611
34. 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
35. Land Cover and Land Use Mapping of the East Asian Summer Monsoon Region from 1982 to 2015 Y. He et al. 10.3390/land11030391
36. 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
37. 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
38. 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
39. 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
40. 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
41. Annual dynamic dataset of global cropping intensity from 2001 to 2019 X. Liu et al. 10.1038/s41597-021-01065-9
42. 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
43. Economic growth and forest transition in Latin America N. Caravaggio 10.1016/j.forpol.2021.102667
44. 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
45. 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
46. Buen Vivir and forest conservation in Bolivia: False promises or effective change? F. Cappelli et al. 10.1016/j.forpol.2022.102695
47. 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