Application of a Change Detection Soil Moisture Retrieval Algorithm to Combined, Semiconcurrent Radiometer, and Radar Observations-Reference-Cited by-同舟云学术

Application of a Change Detection Soil Moisture Retrieval Algorithm to Combined, Semiconcurrent Radiometer, and Radar Observations

Published:2022 Issue: Volume:15 Page:9716-9721
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ouellette Jeffrey D.¹^ORCID,Himani Tanish¹^ORCID,Li Li¹^ORCID,Twarog Elizabeth M.¹^ORCID,Colliander Andreas²^ORCID,Goodrich David³^ORCID,Collins Chandra Holifield³,Cosh Michael⁴,Walker Jeffrey P.⁵^ORCID

Affiliation:

1. Naval Research Laboratory, Remote Sensing Division, Washington, DC, USA

2. NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA

3. US Department of Agriculture, Agricultural Research Service, Southwest Watershed Research Center, Tucson, AZ, USA

4. US Department of Agriculture, Agricultural Research Service, Beltsville, MD, USA

5. Department of Civil Engineering, Monash University, Clayton, Australia

Funder

Office of Naval Research

U.S. Department of Agriculture

Agricultural Research Service

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09938144.pdf?arnumber=9938144

Reference19 articles.

1. WindSat Global Soil Moisture Retrieval and Validation

2. Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops

3. Dielectric properties of soils in the 0.3-1.3-GHz range

4. Wave Scattering from Rough Surfaces

5. Algorithm theoretical basis document: GCOM-W1/AMSR2 soil moisture product;liu;NOAA,2016

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