Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites

In the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution. This study contributes to its validation by using finer spatial resoluti...

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Main Authors: Chiara Pratola, Brian Barrett, Alexander Gruber, Gerard Kiely, Edward Dwyer
Format: Article
Language:English
Published: MDPI AG 2014-08-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/9/8190
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author Chiara Pratola
Brian Barrett
Alexander Gruber
Gerard Kiely
Edward Dwyer
author_facet Chiara Pratola
Brian Barrett
Alexander Gruber
Gerard Kiely
Edward Dwyer
author_sort Chiara Pratola
collection DOAJ
description In the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution. This study contributes to its validation by using finer spatial resolution ASAR Wide Swath and in situ soil moisture data taken over three sites in Ireland, from 2007 to 2009. This is the first time a comparison has been carried out between three sets of independent observations from different sensors at very different spatial resolutions for such a long time series. Furthermore, the SM spatial distribution has been investigated at the ASAR scale within each Essential Climate Variable (ECV) pixel, without adopting any particular model or using a densely distributed network of in situ stations. This approach facilitated an understanding of the extent to which geophysical factors, such as soil texture, terrain composition and altitude, affect the retrieved ECV SM product values in temperate grasslands. Temporal and spatial variability analysis provided high levels of correlation (p < 0.025) and low errors between the three datasets, leading to confidence in the new ECV SM global product, despite limitations in its ability to track the driest and wettest conditions.
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spelling doaj.art-4c79b83e09a44c0c896998b68939fa392022-12-22T04:10:25ZengMDPI AGRemote Sensing2072-42922014-08-01698190821910.3390/rs6098190rs6098190Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish SitesChiara Pratola0Brian Barrett1Alexander Gruber2Gerard Kiely3Edward Dwyer4Coastal and Marine Research Centre, Environmental Research Institute, University College Cork, Naval Base, Haulbowline, Cobh, Co. Cork, IrelandSchool of Geography & Archaeology, University College Cork, Cork, IrelandDepartment of Geodesy and Geoinformation, Vienna University of Technology, 1040 Vienna, AustriaEnvironmental Research Institute, Civil and Environmental Engineering Department, University College Cork, Cork, IrelandCoastal and Marine Research Centre, Environmental Research Institute, University College Cork, Naval Base, Haulbowline, Cobh, Co. Cork, IrelandIn the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution. This study contributes to its validation by using finer spatial resolution ASAR Wide Swath and in situ soil moisture data taken over three sites in Ireland, from 2007 to 2009. This is the first time a comparison has been carried out between three sets of independent observations from different sensors at very different spatial resolutions for such a long time series. Furthermore, the SM spatial distribution has been investigated at the ASAR scale within each Essential Climate Variable (ECV) pixel, without adopting any particular model or using a densely distributed network of in situ stations. This approach facilitated an understanding of the extent to which geophysical factors, such as soil texture, terrain composition and altitude, affect the retrieved ECV SM product values in temperate grasslands. Temporal and spatial variability analysis provided high levels of correlation (p < 0.025) and low errors between the three datasets, leading to confidence in the new ECV SM global product, despite limitations in its ability to track the driest and wettest conditions.http://www.mdpi.com/2072-4292/6/9/8190ESA Climate Change InitiativeEssential Climate Variablesoil moistureENVISAT ASAR WStemporal variabilityspatial variability
spellingShingle Chiara Pratola
Brian Barrett
Alexander Gruber
Gerard Kiely
Edward Dwyer
Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites
Remote Sensing
ESA Climate Change Initiative
Essential Climate Variable
soil moisture
ENVISAT ASAR WS
temporal variability
spatial variability
title Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites
title_full Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites
title_fullStr Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites
title_full_unstemmed Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites
title_short Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites
title_sort evaluation of a global soil moisture product from finer spatial resolution sar data and ground measurements at irish sites
topic ESA Climate Change Initiative
Essential Climate Variable
soil moisture
ENVISAT ASAR WS
temporal variability
spatial variability
url http://www.mdpi.com/2072-4292/6/9/8190
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