24 citations as recorded by crossref.

1. Exploring spatiotemporal patterns of algal cell density in lake Dianchi with explainable machine learning Y. Tao et al. 10.1016/j.envpol.2024.124395
2. UANet: An Uncertainty-Aware Network for Building Extraction From Remote Sensing Images J. Li et al. 10.1109/TGRS.2024.3361211
3. Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification R. Xu et al. 10.3390/rs16111974
4. Spatial and social inequality of hierarchical healthcare accessibility in urban system: A case study in Shanghai, China R. Su et al. 10.1016/j.scs.2024.105540
5. Fine-grained urban blue-green-gray landscape dataset for 36 Chinese cities based on deep learning network Z. Xu & S. Zhao 10.1038/s41597-023-02844-2
6. CRformer: Multi-modal data fusion to reconstruct cloud-free optical imagery Y. Xia et al. 10.1016/j.jag.2024.103793
7. WenSiM: A Relative Accuracy Assessment Method for Land Cover Products Based on Optimal Transportation Theory R. Zhu et al. 10.3390/rs16020257
8. Evaluation of Perceptions Using Facial Expression Scores on Ecological Service Value of Blue and Green Spaces in 61 Parks in Guizhou L. Wang & C. Zhou 10.3390/su16104108
9. Dynamic impact assessment of urban floods on the compound spatial network of buildings-roads-emergency service facilities Y. Zang et al. 10.1016/j.scitotenv.2024.172007
10. CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey L. Zhang et al. 10.1016/j.compag.2024.108672
11. Coupling of microbial-explicit model and machine learning improves the prediction and turnover process simulation of soil organic carbon X. Xu et al. 10.1016/j.csag.2024.100001
12. Simultaneous extraction of spatial and attributional building information across large-scale urban landscapes from high-resolution satellite imagery Z. Qian et al. 10.1016/j.scs.2024.105393
13. Providing Quantitative and Site-Specific Decision Support for Urban Flooding Mitigation Using Machine Learning and SHAP E. Ke 10.2139/ssrn.4756021
14. Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge Y. Liu et al. 10.1109/JSTARS.2024.3388464
15. Evaluation of six global high-resolution global land cover products over China Y. Wang et al. 10.1080/17538947.2023.2301673
16. Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets Y. Cui et al. 10.1038/s41597-024-03508-5
17. Storm surge risk assessment and sensitivity analysis based on multiple criteria decision-making methods: a case study of Huizhou City W. Wei et al. 10.3389/fmars.2024.1364929
18. Local knowledge of homegarden plants in Miao ethnic communities in Laershan region, Xiangxi area, China J. Luo et al. 10.1186/s13002-024-00676-x
19. Evaluation of Coupling Coordination Degree between Economy and Eco-Environment Systems in the Yangtze River Delta from 2000 to 2020 J. Ji et al. 10.3390/systems11100500
20. SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data Z. Li et al. 10.5194/essd-15-4749-2023
21. Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation Z. Liu et al. 10.1080/17538947.2024.2353110
22. Super-Resolution Rural Road Extraction from Sentinel-2 Imagery Using a Spatial Relationship-Informed Network Y. Jia et al. 10.3390/rs15174193
23. Mapping of the Spatial Scope and Water Quality of Surface Water Based on the Google Earth Engine Cloud Platform and Landsat Time Series H. Jin et al. 10.3390/rs15204986
24. Which land cover product provides the most accurate land use land cover map of the Yellow River Basin? W. Zhang et al. 10.3389/fevo.2023.1275054