A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions.

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Bibliographic Details
Title: A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions.
Authors: Luo, Chong1, luochong@iga.ac.cn, Geng, Jiale1,2,3, gengjialecym@163.com, Lu, Jun1,2,3, lujun111_lily@sina.com, Kong, Depiao1, kongdepiao20000426@163.com, Meng, Xiangtian1, mengxiangtian@iga.ac.cn, Liu, Huanjun1, huanjunliu@yeah.net
Source: Remote Sensing of Environment; May2026, Vol. 338, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
Description
ISSN:00344257
DOI:10.1016/j.rse.2026.115365