Lazecky, M orcid.org/0000-0001-8179-5949, Lhota, S, Pohanková, Z et al. (2 more authors) (2018) Evaluation of forest loss in Balikpapan Bay in the end of 2015 based on Sentinel-1A polarimetric analysis. In: IOP Conference Series: Earth and Environmental Science. 9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2018), 24-25 Apr 2018, Kuala Lumpur, Malaysia. IOP Publishing
Abstract
Satellite remote sensing has proved to be efficient for forest change monitoring. In tropical areas, polarimetric satellite images have a great potential given their ability to see through clouds, smoke and atmospheric haze. For Balikpapan Bay (Borneo, Indonesia), Sentinel-1A acquired images every 24 days during 2015 in both vertically co-polarized and cross-polarized modes. Using series of polarimetric radar images taken before and after an observed event (in this case a fire), information about changes in native forest can be delivered. In this work we detect and delineate areas burnt or damaged by catastrophic fires in autumn 2015. This work demonstrates a potential of satellite radar imagery using a relatively simple method for identification of forest changes. The whole processing chain as presented has been prepared for using open-source software (mainly ESA SNAP). Presented results were compared to both global services (GLAD and FIRMS databases) and local observation (UAV image over burnt area at Bugis canal).
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access article under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) (https://creativecommons.org/licenses/by/3.0/) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jun 2019 11:16 |
Last Modified: | 26 Jun 2019 14:50 |
Status: | Published |
Publisher: | IOP Publishing |
Identification Number: | 10.1088/1755-1315/169/1/012026 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147516 |
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