An End-to-End Python-Based Toolkit for Facilitated Time-Series Interferometric Synthetic Aperture Radar (InSAR) Analysis of Sentinel-1 Remote Sensing Data
Dehkordi, Alireza Taheri LU ; Hashemi, Hossein LU
and Naghibi, Amir
LU
(2026)
EGU General Assembly 2026
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7bab4be4-065c-4a64-af5e-6c0bf166f532
- author
- Dehkordi, Alireza Taheri
LU
; Hashemi, Hossein
LU
and Naghibi, Amir
LU
- organization
- publishing date
- 2026
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- EGU General Assembly 2026
- conference location
- Vienna, Austria
- conference dates
- 2026-05-03 - 2026-05-08
- DOI
- 10.5194/egusphere-egu26-3070
- language
- Unknown
- LU publication?
- yes
- id
- 7bab4be4-065c-4a64-af5e-6c0bf166f532
- date added to LUP
- 2026-06-03 17:14:03
- date last changed
- 2026-06-08 16:09:28
@misc{7bab4be4-065c-4a64-af5e-6c0bf166f532,
author = {{Dehkordi, Alireza Taheri and Hashemi, Hossein and Naghibi, Amir}},
language = {{und}},
title = {{An End-to-End Python-Based Toolkit for Facilitated Time-Series Interferometric Synthetic Aperture Radar (InSAR) Analysis of Sentinel-1 Remote Sensing Data}},
url = {{http://dx.doi.org/10.5194/egusphere-egu26-3070}},
doi = {{10.5194/egusphere-egu26-3070}},
year = {{2026}},
}