Surface soil moisture estimation at high spatial resolution by fusing synthetic aperture radar and optical remote sensing data-Reference-Cited by-同舟云学术

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Surface soil moisture estimation at high spatial resolution by fusing synthetic aperture radar and optical remote sensing data

Published:2020-04-21 Issue:02 Volume:14 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Chen Nengcheng¹,Cheng Bowen¹,Zhang Xiang¹,Xing Chenjie²

Affiliation:

1. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote

2. Southwest Institute of Electronic Technology, Chengdu

Funder

National Natural Science Foundation of China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling of electromagnetic wave reflection from wet soil taken into account of dispersion, heterogeneity and surface roughness;Physics of Wave Processes and Radio Systems;2024-06-15

2. Fusion of SAR and optical images using pixel-based CNN;Neural Network World;2022

3. Machine learning inversion approach for soil parameters estimation over vegetated agricultural areas using a combination of water cloud model and calibrated integral equation model;Journal of Applied Remote Sensing;2021-03-08

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