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Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study

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Bibliographic Details
Main Authors: Brunelli, Benedetta, Giglio, Michaela De, Magnan, Elisa
Format: Book
Language:English
Published: Springer 2023
Subjects:
Synthetic Aperture Radar data
Marche region
Online Access:https://link.springer.com/article/10.1007/s10668-023-03635-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8791
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spelling oai:localhost:PNK-87912023-08-14T03:11:21Z Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study Brunelli, Benedetta Giglio, Michaela De Magnan, Elisa Synthetic Aperture Radar data Marche region Cc-BY Surface soil moisture is a key hydrologic state variable that greatly influences the global environment and human society. Its significant decrease in the Mediterranean region, registered since the 1950s, and expected to continue in the next century, threatens soil health and crops. Microwave remote sensing techniques are becoming a key tool for the implementation of climate-smart agriculture, as a means for surface soil moisture retrieval that exploits the correlation between liquid water and the dielectric properties of soil. In this study, a workflow in Google Earth Engine was developed to estimate surface soil moisture in the agricultural fields of the Marche region (Italy) through Synthetic Aperture Radar data. Firstly, agricultural areas were extracted with both Sentinel-2 optical and Sentinel-1 radar satellites, investigating the use of Dual-Polarimetric Entropy-Alpha decomposition's bands to improve the accuracy of radar data classification. 2023-08-14T03:11:21Z 2023-08-14T03:11:21Z 2023 Book https://link.springer.com/article/10.1007/s10668-023-03635-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/8791 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Synthetic Aperture Radar data
Marche region
spellingShingle Synthetic Aperture Radar data
Marche region
Brunelli, Benedetta
Giglio, Michaela De
Magnan, Elisa
Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
description Cc-BY
format Book
author Brunelli, Benedetta
Giglio, Michaela De
Magnan, Elisa
author_facet Brunelli, Benedetta
Giglio, Michaela De
Magnan, Elisa
author_sort Brunelli, Benedetta
title Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
title_short Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
title_full Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
title_fullStr Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
title_full_unstemmed Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study
title_sort surface soil moisture estimate from sentinel-1 and sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the marche region (italy) case study
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10668-023-03635-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8791
_version_ 1774233690646249472
score 8.881002

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