semantic_scholarRemote Sensing of Environment2026-08-01Cited by 0

Advancing river bathymetry mapping through physics-informed neural networks and SWOT satellite observations

Youtong Rong, Paul Bates, J. Neal, Yanchen Zheng, Jiangchao Qiu

View free PDFSource page

Related papers

semantic_scholarRemote Sensing of Environment

Leveraging EMIT spectroscopy and machine learning to estimate soil texture and particle grain size in dust-producing regions

G. Okin, Bo Zhou, P. Brodrick, Francisco Ochoa, María Gonçalves Ageitos, Roger N. Clark, et al.

View free PDFSource page

semantic_scholarRemote Sensing of Environment2026-08-01

A unified deep learning framework coupling InSAR-derived spatiotemporal kinematic features for robust landslide displacement prediction

Bei An, Changcheng Wang, Yanan Jiang, Kui Liu, Jie Wan, Tao Zhang

View free PDFSource page

semantic_scholarRemote Sensing of Environment2026-08-01

FOR-age: Benchmarking individual tree age estimation using 3D deep learning on dense laser scanning data

Stefano Puliti, Binbin Xiang, Maciej Wielgosz, Eivind Handegard, N. Cattaneo, M. Vergarechea, et al.

View free PDFSource page