Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning-Reference-Cited by-同舟云学术

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Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning

Published:2024-11 Issue: Volume:313 Page:114371
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Wei Zushuai,Miao Linguang,Peng Jian,Zhao Tianjie,Meng Lingkui,Lu Hui,Peng Zhiqing,Cosh Michael H.,Fang Bin,Lakshmi Venkat,Shi Jiancheng

Funder

Jianghan University

Ministry of Natural Resources

Agricultural Research Service

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference119 articles.

1. Surface soil moisture estimation from multi-frequency SAR images using ANN and experimental data on a semi-arid environment region in Konya, Turkey;Abdikan;Soil Tillage Res.,2023

2. Global spatiotemporal consistency between meteorological and soil moisture drought indices;Afshar;Agric. For. Meteorol.,2022

3. From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations;Albergel;Hydrol. Earth Syst. Sci.,2008

4. Comparison of gap-filling techniques applied to the CCI soil moisture database in southern Europe;Almendra-Martín;Remote Sens. Environ.,2021

5. The AQUI soil moisture network for satellite microwave remote sensing validation in South-Western France;Al-Yaari;Remote Sens.,2018

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