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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15441
Title: Psinsar Based Land Deformation Based Disaster Monitoring Using Sentinel-1 Datasets
Authors: Awasthi S.
Jain, Kamal
Pandey A.
Published in: Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS)
Abstract: Microwave Remote Sensing using SAR interferometry is a major tool for the land deformation monitoring. The time series InSAR techniques like PsInSAR are quite efficient for retrieving the land deformation using permanent scatterer candidates information. The study area is selected as the city of Lucknow, capital of Uttar Pradesh state in India. This study utilizes Sentinel-1 IW mode TOPS 58 ascending and 59 descending modes datasets. The land subsidence was retrieved using both the ascending and descending pass datasets separately followed by the integration of ascending and descending mode displacement velocity vectors. ¬© 2019 IEEE.
Citation: Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS), (2019), 1713- 1716
URI: https://doi.org/10.1109/IGARSS.2019.8898972
http://repository.iitr.ac.in/handle/123456789/15441
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: PsInSAR
SAR Interometry
Sentinel-1
ISBN: 9.78E+12
Author Scopus IDs: 57200501475
56658294100
55851948181
Author Affiliations: Awasthi, S., Indian Institute of Technology Roorkee, Centre of Excellence in Disaster Management and Mitigation, Roorkee, India
Jain, K., Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
Pandey, A., Indian Instit
Appears in Collections:Conference Publications [CE]

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