Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas

Soil moisture influences forest health, fire occurrence and extent, and insect and pathogen impacts, creating a need for regular, globally extensive soil moisture measurements that can only be achieved by satellite-based sensors, such as NASA's soil moisture active passive (SMAP). However...

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Autores principales: Edward Ayres, Andreas Colliander, Michael H. Cosh, Joshua A. Roberti, Sam Simkin, Melissa A. Genazzio
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Publicado: IEEE 2021
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spelling oai:doaj.org-article:d0a265d90abf41c6969ef28713d8cdc82021-11-18T00:00:30ZValidation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas2151-153510.1109/JSTARS.2021.3121206https://doaj.org/article/d0a265d90abf41c6969ef28713d8cdc82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9580715/https://doaj.org/toc/2151-1535Soil moisture influences forest health, fire occurrence and extent, and insect and pathogen impacts, creating a need for regular, globally extensive soil moisture measurements that can only be achieved by satellite-based sensors, such as NASA&#x0027;s soil moisture active passive (SMAP). However, SMAP data for forested regions, which account for &#x223C;20&#x0025; of land cover globally, are flagged as unreliable due to interference from vegetation water content, and forests were underrepresented in previous validation efforts, preventing an assessment of measurement accuracy in these biomes. Here we compare over twelve thousand SMAP soil moisture measurements, representing 88 site-years, to <italic>in situ</italic> soil moisture measurements from forty National Ecological Observatory Network (NEON) sites throughout the US, half of which are forested. At unforested NEON sites, agreement with SMAP soil moisture (unbiased RMSD: 0.046 m<sup>3</sup> m<sup>&#x2212;3</sup>) was similar to previous sparse network validations (which include inflation of the metric due to spatial representativeness errors). For the forested sites, SMAP achieved a reasonable level of accuracy (unbiased RMSD: 0.06 m<sup>3</sup> m<sup>&#x2212;3</sup> or 0.053 m<sup>3</sup> m<sup>&#x2212;3</sup> after accounting for random representativeness errors) indicating SMAP is sensitive to changes in soil moisture in forest ecosystems. Moreover, we identified that both an index of vegetation water content and canopy height were related to mean difference (MD), which incorporates measurement bias and representativeness bias, and suggests a potential approach to improve SMAP algorithm parameterization for forested regions. In addition, expanding the number and extent of soil moisture measurements at forested validation sites would likely further reduce MD by minimizing representativeness errors.Edward AyresAndreas CollianderMichael H. CoshJoshua A. RobertiSam SimkinMelissa A. GenazzioIEEEarticle<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">In situ</italic> satellite validationNational Ecological Observatory Network (NEON)soil moisture active passive (SMAP)soil water contentOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10903-10918 (2021)
institution DOAJ
collection DOAJ
language EN
topic <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">In situ</italic> satellite validation
National Ecological Observatory Network (NEON)
soil moisture active passive (SMAP)
soil water content
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
spellingShingle <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">In situ</italic> satellite validation
National Ecological Observatory Network (NEON)
soil moisture active passive (SMAP)
soil water content
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Edward Ayres
Andreas Colliander
Michael H. Cosh
Joshua A. Roberti
Sam Simkin
Melissa A. Genazzio
Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas
description Soil moisture influences forest health, fire occurrence and extent, and insect and pathogen impacts, creating a need for regular, globally extensive soil moisture measurements that can only be achieved by satellite-based sensors, such as NASA&#x0027;s soil moisture active passive (SMAP). However, SMAP data for forested regions, which account for &#x223C;20&#x0025; of land cover globally, are flagged as unreliable due to interference from vegetation water content, and forests were underrepresented in previous validation efforts, preventing an assessment of measurement accuracy in these biomes. Here we compare over twelve thousand SMAP soil moisture measurements, representing 88 site-years, to <italic>in situ</italic> soil moisture measurements from forty National Ecological Observatory Network (NEON) sites throughout the US, half of which are forested. At unforested NEON sites, agreement with SMAP soil moisture (unbiased RMSD: 0.046 m<sup>3</sup> m<sup>&#x2212;3</sup>) was similar to previous sparse network validations (which include inflation of the metric due to spatial representativeness errors). For the forested sites, SMAP achieved a reasonable level of accuracy (unbiased RMSD: 0.06 m<sup>3</sup> m<sup>&#x2212;3</sup> or 0.053 m<sup>3</sup> m<sup>&#x2212;3</sup> after accounting for random representativeness errors) indicating SMAP is sensitive to changes in soil moisture in forest ecosystems. Moreover, we identified that both an index of vegetation water content and canopy height were related to mean difference (MD), which incorporates measurement bias and representativeness bias, and suggests a potential approach to improve SMAP algorithm parameterization for forested regions. In addition, expanding the number and extent of soil moisture measurements at forested validation sites would likely further reduce MD by minimizing representativeness errors.
format article
author Edward Ayres
Andreas Colliander
Michael H. Cosh
Joshua A. Roberti
Sam Simkin
Melissa A. Genazzio
author_facet Edward Ayres
Andreas Colliander
Michael H. Cosh
Joshua A. Roberti
Sam Simkin
Melissa A. Genazzio
author_sort Edward Ayres
title Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas
title_short Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas
title_full Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas
title_fullStr Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas
title_full_unstemmed Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) Sites Show Potential for Soil Moisture Retrieval in Forested Areas
title_sort validation of smap soil moisture at terrestrial national ecological observatory network (neon) sites show potential for soil moisture retrieval in forested areas
publisher IEEE
publishDate 2021
url https://doaj.org/article/d0a265d90abf41c6969ef28713d8cdc8
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