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Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine
被引:1
|作者:
Yailymov, Bohdan
[1
]
Shelestov, Andrii
[1
,2
]
Yailymova, Hanna
[1
,2
]
Shumilo, Leonid
[3
]
机构:
[1] NAS Ukraine, Dept Space Informat Technol & Syst, Space Res Inst, UA-03187 Kiev, Ukraine
[2] Natl Tech Univ Ukraine, Igor Sikorsky Kyiv Polytech Inst, Dept Math Modelling & Data Anal, UA-03056 Kiev, Ukraine
[3] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
来源:
基金:
欧盟地平线“2020”;
新加坡国家研究基金会;
关键词:
wildfire monitoring;
burned area mapping;
normalized burn ratio;
fire potential index;
Google Earth Engine;
informational technology;
cloud computing;
FIRE DETECTION ALGORITHM;
FOREST-FIRE;
POTENTIAL INDEX;
RISK-ASSESSMENT;
TIME-SERIES;
VEGETATION;
SEVERITY;
SYSTEM;
NDVI;
D O I:
10.3390/fire6110411
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
Wildfires cause extensive damage, but their rapid detection and cause assessment remains challenging. Existing methods utilize satellite data to map burned areas and meteorological data to model fire risk, but there are no information technologies to determine fire causes. It is crucially important in Ukraine to assess the losses caused by the military actions. This study proposes an integrated methodology and a novel framework integrating burned area mapping from Sentinel-2 data and fire risk modeling using the Fire Potential Index (FPI) in Google Earth Engine. The methodology enables efficient national-scale burned area detection and automated identification of anthropogenic fires in regions with low fire risk. Implemented over Ukraine, 104.229 ha were mapped as burned during July 2022, with fires inconsistently corresponding to high FPI risk, indicating predominantly anthropogenic causes.
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页数:28
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