Unsupervised Burned Area Mapping in Greece: Investigating the Impact of Precipitation, Pre- and Post-Processing of Sentinel-1 Data in Google Earth Engine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10469958" target="_blank" >RIV/00216208:11310/23:10469958 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/IGARSS52108.2023.10283130" target="_blank" >https://doi.org/10.1109/IGARSS52108.2023.10283130</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IGARSS52108.2023.10283130" target="_blank" >10.1109/IGARSS52108.2023.10283130</a>
Alternative languages
Result language
angličtina
Original language name
Unsupervised Burned Area Mapping in Greece: Investigating the Impact of Precipitation, Pre- and Post-Processing of Sentinel-1 Data in Google Earth Engine
Original language description
Wildfires are one of the most significant threats to ecosystems and are increasing in frequency globally. The aim of this study is to monitor the evolution of selected wildfires in Greece that occurred during August 2021 using Sentinel-1 SAR data and unsupervised k-means clustering in Google Earth Engine. First, changes in time series after the start of the fire and the influence of precipitation were investigated. In this study, the influence of different speckle filters and post-classification filters on clustering results was tested. The difference Normalized Burn Ratio Index (dNBR) derived from Sentinel-2 data was used as a validation dataset to assess accuracy using the F1-score, overall accuracy, omission and commission error. The best achieved F1-scores were higher than 0.70 with omission error lower than 35% in all selected areas, where the Lee speckle filter with an 11x11 kernel window size and a 2 ha post-classification filter performed the best.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10508 - Physical geography
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
ISBN
979-8-3503-2010-7
ISSN
2153-6996
e-ISSN
2153-7003
Number of pages
4
Pages from-to
2520-2523
Publisher name
The Institute of Electrical and Electronics Engineers, Inc.
Place of publication
California, USA
Event location
Pasadena, California, USA
Event date
Jul 16, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001098971602192