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
Cc-BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10668-023-03635-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/8791 |
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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 |
8.891145 |