A multi-frequency framework for soil moisture retrieval from time series radar data-Reference-Cited by-同舟云学术

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A multi-frequency framework for soil moisture retrieval from time series radar data

Published:2019-12 Issue: Volume:235 Page:111433
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zhu Liujun,Walker Jeffrey P.,Tsang Leung,Huang Huanting,Ye Nan,Rüdiger Christoph

Funder

Australian Research Council Discovery Project

China Scholarship Council (CSC) and Monash University

Liujun Zhu's PhD research and visiting in the University of Michigan, USA

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference102 articles.

1. Retrieving soil moisture over bare soil from ERS 1 synthetic aperture radar data: sensitivity analysis based on a theoretical surface scattering model and field data;Altese;Water Resour. Res.,1996

2. Analysis of C-band scatterometer moisture estimations derived over a semiarid region;Amri;IEEE Trans. Geosci. Remote Sens.,2012

3. Vegetation modeled as a water cloud;Attema;Radio Sci.,1978

4. Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust;Aubert;Remote Sens. Environ.,2011

5. A new empirical model for radar scattering from bare soil surfaces;Baghdadi;Remote Sens.,2016

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