Burn scar detection using polarimetric ALOS-2 data
Fire is both a natural disturbance regime and a threat to infrastructure, forestry and human lives. Satellite remote sensing offers a fast and efficient way to reliably estimate the burnt area. In most cases, optical satellite data are used for burn scar detection. Nevertheless, smoke, clouds or rai...
Published in: | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
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Main Authors: | , , |
Format: | Conference Object |
Language: | unknown |
Published: |
2018
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Subjects: | |
Online Access: | https://elib.dlr.de/121238/ |
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author | Plank, Simon Karg, Susanne Martinis, Sandro |
author_facet | Plank, Simon Karg, Susanne Martinis, Sandro |
author_sort | Plank, Simon |
collection | Unknown |
container_start_page | 4631 |
container_title | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
description | Fire is both a natural disturbance regime and a threat to infrastructure, forestry and human lives. Satellite remote sensing offers a fast and efficient way to reliably estimate the burnt area. In most cases, optical satellite data are used for burn scar detection. Nevertheless, smoke, clouds or rain can decrease the quality of classification. In these cases, SAR data can be a good alternative. Using quad-polarized SAR data, the backscatter can be decomposed into different scattering mechanisms, describing the scatterer more precisely. Here, we will present the possibilities and limitations of using quad-polarimetric ALOS-2 data for burnt area mapping using an object-based image analysis approach based on change-detection. As a case study the big fire event which affected Fort McMurray, Alberta, Canada in May/June 2016 was investigated. |
format | Conference Object |
genre | Fort McMurray |
genre_facet | Fort McMurray |
geographic | Canada Fort McMurray |
geographic_facet | Canada Fort McMurray |
id | ftdlr:oai:elib.dlr.de:121238 |
institution | Open Polar |
language | unknown |
op_collection_id | ftdlr |
op_container_end_page | 4634 |
op_doi | https://doi.org/10.1109/igarss.2018.8517822 |
op_relation | Plank, Simon und Karg, Susanne und Martinis, Sandro (2018) Burn scar detection using polarimetric ALOS-2 data. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018-07-22 - 2018-07-27, Valencia, Spanien. doi:10.1109/igarss.2018.8517822 <https://doi.org/10.1109/igarss.2018.8517822>. |
publishDate | 2018 |
record_format | openpolar |
spelling | ftdlr:oai:elib.dlr.de:121238 2025-06-15T14:27:26+00:00 Burn scar detection using polarimetric ALOS-2 data Plank, Simon Karg, Susanne Martinis, Sandro 2018-07-25 https://elib.dlr.de/121238/ unknown Plank, Simon und Karg, Susanne und Martinis, Sandro (2018) Burn scar detection using polarimetric ALOS-2 data. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018-07-22 - 2018-07-27, Valencia, Spanien. doi:10.1109/igarss.2018.8517822 <https://doi.org/10.1109/igarss.2018.8517822>. Georisiken und zivile Sicherheit Konferenzbeitrag PeerReviewed 2018 ftdlr https://doi.org/10.1109/igarss.2018.8517822 2025-06-04T04:58:03Z Fire is both a natural disturbance regime and a threat to infrastructure, forestry and human lives. Satellite remote sensing offers a fast and efficient way to reliably estimate the burnt area. In most cases, optical satellite data are used for burn scar detection. Nevertheless, smoke, clouds or rain can decrease the quality of classification. In these cases, SAR data can be a good alternative. Using quad-polarized SAR data, the backscatter can be decomposed into different scattering mechanisms, describing the scatterer more precisely. Here, we will present the possibilities and limitations of using quad-polarimetric ALOS-2 data for burnt area mapping using an object-based image analysis approach based on change-detection. As a case study the big fire event which affected Fort McMurray, Alberta, Canada in May/June 2016 was investigated. Conference Object Fort McMurray Unknown Canada Fort McMurray IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 4631 4634 |
spellingShingle | Georisiken und zivile Sicherheit Plank, Simon Karg, Susanne Martinis, Sandro Burn scar detection using polarimetric ALOS-2 data |
title | Burn scar detection using polarimetric ALOS-2 data |
title_full | Burn scar detection using polarimetric ALOS-2 data |
title_fullStr | Burn scar detection using polarimetric ALOS-2 data |
title_full_unstemmed | Burn scar detection using polarimetric ALOS-2 data |
title_short | Burn scar detection using polarimetric ALOS-2 data |
title_sort | burn scar detection using polarimetric alos-2 data |
topic | Georisiken und zivile Sicherheit |
topic_facet | Georisiken und zivile Sicherheit |
url | https://elib.dlr.de/121238/ |