Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions-Reference-Cited by-同舟云学术

Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions

Published:2020-12 Issue: Volume:251 Page:112052
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Kim Hyunglok,Wigneron Jean-Pierre,Kumar Sujay,Dong Jianzhi,Wagner Wolfgang,Cosh Michael H.,Bosch David D.,Collins Chandra Holifield,Starks Patrick J.,Seyfried Mark,Lakshmi Venkataraman

Funder

University of Virginia

National Aeronautics and Space Administration

U.S. Department of Agriculture

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference107 articles.

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2. Characterization of precipitation product errors across the United States using multiplicative triple collocation;Alemohammad;Hydrol. Earth Syst. Sci.,2015

3. Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates;Al-Yaari;Remote Sens. Environ.,2014