Multi-temporal SAR Interferometry (MTInSAR)-based study of surface subsidence and its impact on Krishna Godavari (KG) basin in India: a support vector approach.
Land surface subsidence
MTInSAR
RVI
SVR
Seawater ingress
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
12 Oct 2023
12 Oct 2023
Historique:
received:
02
06
2023
accepted:
22
09
2023
medline:
23
10
2023
pubmed:
13
10
2023
entrez:
12
10
2023
Statut:
epublish
Résumé
The surface subsidence in the Krishna Godavari (KG) basin in India has increased with the discovery of crude oil and natural gas reserves since 1983. With private players coming up to bag the exploration and refining contracts, there must be timely monitoring of the surface subsidence of the region so that remedial measures for the resettlement of the populations can be taken promptly. Regular monitoring is necessary since the region is fertile and any seawater ingress results in the loss of valuable cultivable land. Multi-temporal SAR Interferometry (MTInSAR) technique has been applied successfully all over the world for the study and regular monitoring of land surface subsidence scenarios. This study utilizes data from Sentinel-1 C-band SAR sensor for MTInSAR-based surface subsidence and RADAR Vegetation Index (RVI)-based vegetation loss for the same season estimation between 2017 and 2022 for the KG basin region. It is inferred from the study that the region has shown surface subsidence of 80 mm/year between April 2020 and June 2022. This study uses support vector regressor (SVR) to predict the loss in forest cover in terms of RVI using MTInSAR-based surface subsidence, VH, and VV backscatter as parameters. It is observed that the SVR gave R
Identifiants
pubmed: 37828129
doi: 10.1007/s10661-023-11896-1
pii: 10.1007/s10661-023-11896-1
doi:
Substances chimiques
Natural Gas
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1298Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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