Downscaling SMAP and SMOS soil moisture with moderate-resolution imaging spectroradiometer visible and infrared products over southern Arizona-Reference-Cited by-同舟云学术

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Downscaling SMAP and SMOS soil moisture with moderate-resolution imaging spectroradiometer visible and infrared products over southern Arizona

Published:2017-05-25 Issue:2 Volume:11 Page:026021
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Knipper Kyle R.¹,Hogue Terri S.¹,Franz Kristie J.²,Scott Russell L.³

Affiliation:

1. Colorado School of Mines, Hydrologic Science and Engineering, Department of Civil and Environmental Engineering, Golden, Colorado, United States

2. Iowa State University, Department of Geological and Atmospheric Sciences, Ames, Iowa, United States

3. Southwest Watershed Research Center, USDA-Agricultural Research Services, Tucson, Arizona, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference49 articles.

1. Analysis of Feedback Mechanisms in Land-Atmosphere Interaction

2. The Influence of Soil Wetness on Near-Surface Atmospheric Variability

3. Influence of the spatial distribution of vegetation and soils on the prediction of cumulus Convective rainfall

4. Influence of Land-Surface Evapotranspiration on the Earth's Climate

5. Passive microwave remote sensing of soil moisture

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1. Soil Moisture Retrieval in Bare Agricultural Areas Using Sentinel-1 Images;Remote Sensing;2023-07-12

2. High Spatial and Temporal Soil Moisture Retrieval in Agricultural Areas Using Multi-Orbit and Vegetation Adapted Sentinel-1 SAR Time Series;Remote Sensing;2023-04-26

3. Downscaling and validating SMAP soil moisture using a machine learning algorithm over the Awash River basin, Ethiopia;PLOS ONE;2023-01-13

4. Estimation of quasi-full spatial coverage soil moisture with fine resolution in China from the combined use of ERA5-Land reanalysis and TRIMS land surface temperature product;Agricultural Water Management;2023-01

5. Exploring the Spatial Autocorrelation in Soil Moisture Networks: Analysis of the Bias from Upscaling the Texas Soil Observation Network (TxSON);Water;2022-12-27

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