Analysis of the forest fire in the 'Bohemian Switzerland' National Park using Landsat-8 and Sentinel-5P in Google Earth Engine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F25%3A102375" target="_blank" >RIV/60460709:41210/25:102375 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s11069-024-07052-8" target="_blank" >https://doi.org/10.1007/s11069-024-07052-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11069-024-07052-8" target="_blank" >10.1007/s11069-024-07052-8</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of the forest fire in the 'Bohemian Switzerland' National Park using Landsat-8 and Sentinel-5P in Google Earth Engine
Original language description
The recent increase of the air temperature due to the global climate change is considered as one of the important reasons for the wildfires increase in the world, even in areas where the wildfires are not that common. In addition to the various physical damages adversely affecting the ecological balance, harmful gases and solid particles are released into the atmosphere due to wildfires, causing serious health problems. In this study, impacts of the most serious forest fire in modern history of the country lasting 16 days from 23rd of July 2022 in the National Park" Bohemian Switzerland" in the D & ecaron;& ccaron;& iacute;n district, Czech Republic, were investigated using remote sensing satellite datasets by cloud-based Google Earth Engine (GEE) platform. The normalized difference moisture index (NDMI), normalized burn ratio index (NBR), normalized difference vegetation index (NDVI), land surface temperature (LST) and soil moisture index (SMI) were calculated from Landsat-8 Operational Land Imager and Thermal Infrared Sensor (OLI and TIRS) dataset for the dates of 31st October 2021, 18th June 2022, and 31st October 2022. Relationship of the remote sensing indices were calculated to estimate the impacts of the wildfire. Furthermore, distribution of nitrogen dioxide (NO2) was extracted using Sentinel-5P TROPOMI (Tropospheric Monitoring Instrument) to observe changes before and after the forest fire in the study region. The burnt area approximately 13.20 km2 from the total area of 79.28 km2 was detected using different time series of the remote sensing indices in the national park.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
U - Předmět řešení projektu je utajovanou skutečností podle zvláštních právních předpisů nebo je skutečností, jejíž zveřejnění by mohlo ohrozit činnost zpravodajské služby. Údaje o projektu jsou upraveny tak, aby byly zveřejnitelné
Data specific for result type
Name of the periodical
NATURAL HAZARDS
ISSN
0921-030X
e-ISSN
1573-0840
Volume of the periodical
121
Issue of the periodical within the volume
5
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
22
Pages from-to
6133-6154
UT code for WoS article
001366131300001
EID of the result in the Scopus database
2-s2.0-105002952667