arrow
Return

A scattering model-informed deep transfer learning framework for surface soil moisture retrieval

delete2026-07-25
delete0
PRE
AI
汪左 cover
汪左 (Zuo Wang)
J
Jing M. Chen
J
Jiangyuan Zeng *
C
Chang Huang
宋立生 cover
宋立生 (Lisheng Song)
Y
Yingying Chen
L
Liujun Zhu *
DOI:10.1016/j.rse.2026.115571delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Transferred scattering-model priors to Sentinel-1 for 10-m soil moisture retrieval • Hybridized model transfer with fine-tuning for interpretability and generalization • Corrected vegetation effects via deep learning without in situ vegetation parameters • Achieved accurate retrieval in vegetated areas without surface roughness parameters
Keywords:
Soil moisture retrieval
Theoretical model
Scattering mechanism
Deep learning
Feature transfer
Parameter fine-tuning

Journal

Remote Sensing of Environment cover
Remote Sensing of Environment
IF:
11.4
Papers:
1.1W
Citations:
9.4W

Organization

A
anhui normal university
Scholars:
1.5K
Papers: 478
Citations: 0
H
hohai university
Scholars:
5.9K
Papers: 2.4K
Citations: 0
C
chinese academy of sciences
Scholars:
56.5W
Papers: 44.9W
Citations: 704
researcher View more organizations