Roughness characterization and disaggregation of coarse resolution SMAP soil moisture using single-channel algorithm-Reference-Cited by-同舟云学术

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Roughness characterization and disaggregation of coarse resolution SMAP soil moisture using single-channel algorithm

Published:2021-03-04 Issue:01 Volume:15 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Sharma Jyoti¹,Prasad Rajendra¹,Srivastava Prashant K.²,Singh Shubham K.¹,Yadav Suraj A.¹,Yadav Vijay Pratap¹

Affiliation:

1. Indian Institute Technology (BHU), Department of Physics, Varanasi

2. Institute of Environment and Sustainable Development, BHU, Varanasi

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 6 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. Development of a new vegetation modulated soil moisture index for the spatial disaggregation of SMAP soil moisture data product;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

2. Operational 500 m surface soil moisture product using EOS-04 C-band SAR over Indian agricultural croplands;CURR SCI INDIA;2024

3. Development of High-Resolution Soil Hydraulic Parameters with Use of Earth Observations for Enhancing Root Zone Soil Moisture Product;Remote Sensing;2023-01-25

4. Evaluation of the tau-omega model over bare and wheat-covered flat and periodic soil surfaces at P- and L-band;Remote Sensing of Environment;2022-05

5. Improving Spatial Representation of Soil Moisture Through the Incorporation of Single-Channel Algorithm With Different Downscaling Approaches;IEEE Transactions on Geoscience and Remote Sensing;2022

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