The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation-Reference-Cited by-同舟云学术

The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation

Published:2019-01 Issue:1 Volume:18 Page:1-20
ISSN:1539-1663
Container-title:Vadose Zone Journal
language:en
Short-container-title:Vadose zone j.

Author:

Caldwell Todd G.¹²,Bongiovanni Tara¹,Cosh Michael H.³,Jackson Thomas J.³,Colliander Andreas⁴,Abolt Charles J.¹,Casteel Richard¹,Larson Toti¹,Scanlon Bridget R.¹,Young Michael H.¹

Affiliation:

1. Bureau of Economic GeologyJackson School of GeosciencesThe Univ. of Texas at AustinAustinTX

2. USGSNevada Water Science CenterCarson CityNV

3. USDA, Agricultural Research ServiceHydrology and Remote Sensing LaboratoryBeltsvilleMD

4. NASA Jet Propulsion Lab.California Institute of TechnologyPasadenaCA

Funder

California Institute of Technology

Publisher

Wiley

Subject

Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2136/vzj2019.04.0034

Reference73 articles.

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2. Ten years of stochastic water supply modeling by Lower Colorado River Authority of Texas;Anderson R.;J. Water Manage. Model.,2017

3. Meteorological, soil moisture, surface water, and groundwater data from the St. Denis National Wildlife Area, Saskatchewan, Canada

4. The Raam regional soil moisture monitoring network in the Netherlands

5. Assessing SMAP soil moisture scaling and retrieval in the Carman (Canada) study site;Bhuiyan H.A.K.M.;Vadose Zone J,2018

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