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
FIRE-SWITZERLAND | 2023年 / 6卷 / 11期
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.
引用
收藏
页数:28
相关论文
共 50 条
  • [21] Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine
    DeVries, Ben
    Huang, Chengquan
    Armston, John
    Huang, Wenli
    Jones, John W.
    Lang, Megan W.
    REMOTE SENSING OF ENVIRONMENT, 2020, 240
  • [22] Automated assessment of the extent of mangroves using multispectral satellite remote sensing data in Google Earth Engine
    Sarkar, Rupsa
    Gnanappazham, L.
    Pandey, A. C.
    CURRENT SCIENCE, 2023, 125 (03): : 299 - 308
  • [23] Assessment of surface water dynamics through satellite mapping with Google Earth Engine and Sentinel-2 data in Manipur, India
    Pandey, Vanita
    Pandey, Pankaj Kumar
    Lepcha, Pema Tshering
    Devi, Naorem Nirmala
    JOURNAL OF WATER AND CLIMATE CHANGE, 2024, 15 (03) : 1313 - 1332
  • [24] Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework
    Latif, Rana Muhammad Amir
    He, Jinliao
    Umer, Muhammad
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 12 (02)
  • [25] Monitoring and analyzing the dynamics of Zizania floating mats with PlanetScope imagery and Google Earth Engine
    Zhou, Rui
    Yang, Chao
    Li, Enhua
    Cai, Xiaobin
    Zhao, Suting
    Zhang, Yingying
    Liu, Shiyan
    ECOLOGICAL INDICATORS, 2024, 166
  • [26] Monitoring the surface area of the subtropical wetlands of northeastern Argentina using the Google Earth Engine
    Smichowski, Humberto
    Ignacio Contreras, Felix
    Carolina Giese, Adriana
    INVESTIGACIONES GEOGRAFICAS-SPAIN, 2022, (78): : 131 - 152
  • [27] Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping
    Hird, Jennifer N.
    DeLancey, Evan R.
    McDermid, Gregory J.
    Kariyeva, Jahan
    REMOTE SENSING, 2017, 9 (12)
  • [28] Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data
    Hamunyela, Eliakim
    Rosca, Sabina
    Mitt, Andrei
    Engle, Eric
    Herold, Martin
    Gieseke, Fabian
    Verbesselt, Jan
    REMOTE SENSING, 2020, 12 (18)
  • [29] Monitoring cropland LAI using Gaussian Process Regression and sentinel-2 surface reflectance data in Google Earth Engine
    Sahoo, Rabi N.
    Kondraju, Tarun
    Rejith, R. G.
    Verrelst, Jochem
    Ranjan, Rajeev
    Gakhar, Shalini
    Bhandari, Amrita
    Chinnusamy, Viswanathan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (15) : 5008 - 5027
  • [30] GEDI DATA WITHIN GOOGLE EARTH ENGINE: PRELIMINARY ANALYSIS OF A RESOURCE FOR INLAND SURFACE WATER MONITORING
    Hamoudzadeh, Alireza
    Ravanelli, Roberta
    Crespi, Mattia
    39TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT ISRSE-39 FROM HUMAN NEEDS TO SDGS, VOL. 48-M-1, 2023, : 131 - 136