12 citations as recorded by crossref.

1. Arctic Tundra Lake Drainage Increases Snow Storage in Drifts R. Rangel et al. 10.1029/2023JF007294
2. Satellite-derived bathymetry using Sentinel-2 in mesotidal coasts S. Viaña-Borja et al. 10.1016/j.coastaleng.2024.104644
3. River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2 M. Niroumand-Jadidi et al. 10.1109/JSTARS.2022.3187179
4. Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2 M. Merchant 10.1016/j.asr.2023.07.064
5. 主被动遥感融合辐射传输卷积神经网络水深反演方法 谢. XIE Congshuang et al. 10.3788/gzxb20245308.0801002
6. Remote sensing for shallow bathymetry: A systematic review J. He et al. 10.1016/j.earscirev.2024.104957
7. Investigating effects of thermokarst lakes on permafrost under equilibrium conditions H. Brisebois et al. 10.1016/j.scitotenv.2024.177921
8. Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska H. Bergstedt et al. 10.3390/rs13132539
9. Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Physics-Informed CNN C. Xie et al. 10.3390/rs16030511
10. Enhancing water depth inversion accuracy in the Yangtze River's Nantong Channel using random forest and coordinate attention mechanisms Z. Wu et al. 10.1364/OE.538367
11. Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea C. Xie et al. 10.1016/j.ecoinf.2025.103121
12. Multi-resolution satellite images bathymetry inversion of Bangda Co in the western Tibetan Plateau H. Guo et al. 10.1080/01431161.2021.1970271