Soil moisture retrieval from time series multi-angular radar data using a dry down constraint-Reference-Cited by-同舟云学术

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Soil moisture retrieval from time series multi-angular radar data using a dry down constraint

Published:2019-09 Issue: Volume:231 Page:111237
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

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference71 articles.

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

2. An empirical calibration of the integral equation model based on SAR data, soil moisture and surface roughness measurement over bare soils;Baghdadi;Int. J. Remote Sens.,2002

3. Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements;Baghdadi;Int. J. Remote Sens.,2004

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

5. Optimum surface roughness to parameterize advanced integral equation model for soil moisture retrieval in prairie area using Radarsat-2 data;Bai;IEEE Trans. Geosci. Remote Sens.,2016

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