43 citations as recorded by crossref.

1. Evolution of livelihood vulnerability in rice terrace systems: Evidence from households in the Ziquejie terrace system in China C. Deng et al. 10.3389/fsufs.2023.1031504
2. Temporal variability of global potential water erosion based on an improved USLE model J. Li et al. 10.1016/j.iswcr.2023.03.005
3. Large-scale extraction of check dams and silted fields on the Chinese loess plateau using ensemble learning models Y. Li et al. 10.1016/j.iswcr.2023.09.005
4. Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022 M. Li et al. 10.5194/essd-15-4181-2023
5. Extent and spatial distribution of terrace abandonment in China S. Dong et al. 10.1007/s11442-023-2133-7
6. Mapping long‐term terrace change in the Chinese Loess Plateau: A new approach by decision tree model with digital elevation model (DEM) and land use Y. Shi & W. Wei 10.1002/esp.5768
7. Extraction of Cotton Information with Optimized Phenology-Based Features from Sentinel-2 Images Y. Tian et al. 10.3390/rs15081988
8. Towards the deep learning recognition of cultivated terraces based on Lidar data: The case of Slovenia R. Ciglič et al. 10.2478/mgr-2024-0006
9. Mapping Cropland Abandonment in Mountainous Areas in China Using the Google Earth Engine Platform S. Xu et al. 10.3390/rs15041145
10. A 1 km global cropland dataset from 10 000 BCE to 2100 CE B. Cao et al. 10.5194/essd-13-5403-2021
11. Large-scale, collaborative imagery survey in archaeology: the Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA) S. Wernke et al. 10.15184/aqy.2023.177
12. Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau Y. Zeng et al. 10.1038/s41597-024-03198-z
13. Comparison and Evaluation of TV-Based and Low-Rank-Based Destriping Algorithms for Hyperspectral Imagery F. Shen et al. 10.1109/JSTARS.2024.3352035
14. Intra-urban risk assessment of occupational injuries and illnesses associated with current and projected climate: Evidence from three largest Australian cities S. Fatima et al. 10.1016/j.envres.2023.115855
15. Reshaping of soil carbon and nitrogen contents in quincentenary ancient rice terraces: The role of both short-term abandonment and prokaryotic functional groups W. Li et al. 10.3389/fmicb.2022.1007237
16. A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019 J. Li et al. 10.1038/s41597-023-02246-4
17. The 10-m cotton maps in Xinjiang, China during 2018–2021 X. Kang et al. 10.1038/s41597-023-02584-3
18. TIC-driven sustainable land use mode in the Loess Plateau: A case study of gully land consolidation project in Yan'an City, China Y. Guo et al. 10.1016/j.landusepol.2024.107107
19. Spatio-Temporal Dynamic of Disturbances in Planted and Natural Forests for the Saihanba Region of China C. Tao et al. 10.3390/rs15194776
20. Attributing trend in naturalized streamflow to temporally explicit vegetation change and climate variation in the Yellow River basin of China Z. Wang et al. 10.5194/hess-26-5291-2022
21. Relationship between sediment load and climate extremes in the major Chinese rivers Y. Zhang et al. 10.1016/j.jhydrol.2022.128962
22. Assessment of ensemble learning for object-based land cover mapping using multi-temporal Sentinel-1/2 images S. Xu et al. 10.1080/10106049.2023.2195832
23. The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products M. Hou et al. 10.1007/s11427-021-2143-3
24. High-resolution distribution maps of single-season rice in China from 2017 to 2022 R. Shen et al. 10.5194/essd-15-3203-2023
25. Rice Terraces Enhanced the Hydrological Stability of Small Watershed with LUCC—A Case Study of Xinhua Basin C. Deng et al. 10.3390/w16050712
26. Integrating remote sensing, irrigation suitability and statistical data for irrigated cropland mapping over mainland China L. Zhang et al. 10.1016/j.jhydrol.2022.128413
27. A Weighted k-Nearest-Neighbors-Based Spatial Framework of Flood Inundation Risk for Coastal Tourism—A Case Study in Zhejiang, China S. Liu et al. 10.3390/ijgi12110463
28. Complex vegetation patterns improve soil nutrients and maintain stoichiometric balance of terrace wall aggregates over long periods of vegetation recovery W. Li et al. 10.1016/j.catena.2023.107141
29. Long-term terrace change and ecosystem service response in an inland mountain province of China L. Chen et al. 10.1016/j.catena.2023.107586
30. The evolution of ecological security and its drivers in the Yellow River Basin G. Zhang et al. 10.1007/s11356-023-25667-5
31. China's oases have expanded by nearly 40% over the past 20 years X. Liu et al. 10.1002/ldr.4425
32. Spatial Patterns, Drivers, and Sustainable Utilization of Terrace Abandonment in Mountainous Areas of Southwest China W. Ren et al. 10.3390/land13030283
33. Soil nutrients shape the composition and function of fungal communities in abandoned ancient rice terraces W. Li et al. 10.1016/j.jenvman.2022.117064
34. Large-Scale Detection of the Tableland Areas and Erosion-Vulnerable Hotspots on the Chinese Loess Plateau K. Liu et al. 10.3390/rs14081946
35. Interpretation and Spatiotemporal Analysis of Terraces in the Yellow River Basin Based on Machine Learning Z. Li et al. 10.3390/su152115607
36. Evaluating Effects of Terraces on Flow Regimes in a Hilly and Mountainous Basin F. Zhou et al. 10.3390/w15223980
37. Regional scale terrace mapping in fragmented mountainous areas using multi-source remote sensing data and sample purification strategy Z. Liu et al. 10.1016/j.scitotenv.2024.171366
38. A 30 m annual maize phenology dataset from 1985 to 2020 in China Q. Niu et al. 10.5194/essd-14-2851-2022
39. A Planted Forest Mapping Method Based on Long-Term Change Trend Features Derived from Dense Landsat Time Series in an Ecological Restoration Region Y. Meng et al. 10.3390/rs14040961
40. Towards the deep learning recognition of cultivated terraces based on Lidar data: The case of Slovenia R. Ciglič et al. 10.2478/mgr-2024-0006
41. Attributing trend in naturalized streamflow to temporally explicit vegetation change and climate variation in the Yellow River basin of China Z. Wang et al. 10.5194/hess-26-5291-2022
42. Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution Y. Lu et al. 10.1038/s41597-023-02005-5
43. Abandoned terrace recognition based on deep learning and change detection on the Loess Plateau in China H. Guo et al. 10.1002/ldr.4612