33 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
2. 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
3. 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
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. Gradient Boosting Machine and Object-Based CNN for Land Cover Classification Q. Bui et al. 10.3390/rs13142709
7. Effects of ecological projects on vegetation in the Three Gorges Area of Chongqing, China F. Li et al. 10.1007/s11629-021-6768-5
8. Satellite Image Time Series Clustering via Time Adaptive Optimal Transport Z. Zhang et al. 10.3390/rs13193993
9. 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
10. 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
11. 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
12. Future land-use changes and its impacts on terrestrial ecosystem services: A review E. Gomes et al. 10.1016/j.scitotenv.2021.146716
13. Did Climate Change Influence the Emergence, Transmission, and Expression of the COVID-19 Pandemic? S. Gupta et al. 10.3389/fmed.2021.769208
14. 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
15. Global land use changes are four times greater than previously estimated K. Winkler et al. 10.1038/s41467-021-22702-2
16. 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
17. Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network V. Pham & Q. Bui 10.1080/2150704X.2021.1918789
18. 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
19. Effects of Cropland Expansion on Temperature Extremes in Western India from 1982 to 2015 J. Liu et al. 10.3390/land10050489
20. 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
21. 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
22. 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
23. GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery M. Zhang et al. 10.5194/essd-13-4799-2021
24. 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
25. 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
26. 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
27. 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
28. Annual dynamic dataset of global cropping intensity from 2001 to 2019 X. Liu et al. 10.1038/s41597-021-01065-9
29. 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
30. Economic growth and forest transition in Latin America N. Caravaggio 10.1016/j.forpol.2021.102667
31. 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
32. 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
33. 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