A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

Sepideh Tavakkoli Piralilou; Golzar Einali; Omid Ghorbanzadeh; Thimmaiah Gudiyangada Nachappa; Khalil Gholamnia; Thomas Blaschke; Pedram Ghamisi

doi:10.3390/rs14030672

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh^*, Thimmaiah Gudiyangada Nachappa, Khalil Gholamnia, Thomas Blaschke, Pedram Ghamisi

^*Corresponding author for this work

Geoinformatics

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	672
Journal	Remote Sensing
Volume	14
Issue number	3
DOIs	https://doi.org/10.3390/rs14030672
Publication status	Published - 1 Feb 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

ALOS
Dempster-Shafer theory
Forest fire
Heterogeneous data
Landsat 8
Random forest (RF)
Sentinel-2
SRTM
Support vector machines (SVM)
Susceptibility mapping

Fields of Science and Technology Classification 2012

107 Other Natural Sciences
211 Other Technical Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/rs14030672

Cite this

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title = "A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions",

keywords = "ALOS, Dempster-Shafer theory, Forest fire, Heterogeneous data, Landsat 8, Random forest (RF), Sentinel-2, SRTM, Support vector machines (SVM), Susceptibility mapping",

author = "Piralilou, {Sepideh Tavakkoli} and Golzar Einali and Omid Ghorbanzadeh and Nachappa, {Thimmaiah Gudiyangada} and Khalil Gholamnia and Thomas Blaschke and Pedram Ghamisi",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = feb,

day = "1",

doi = "10.3390/rs14030672",

language = "English",

volume = "14",

journal = "Remote Sensing",

issn = "2072-4292",

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A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. / Piralilou, Sepideh Tavakkoli; Einali, Golzar; Ghorbanzadeh, Omid; Nachappa, Thimmaiah Gudiyangada; Gholamnia, Khalil; Blaschke, Thomas; Ghamisi, Pedram.

In: Remote Sensing, Vol. 14, No. 3, 672, 01.02.2022.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

AU - Piralilou, Sepideh Tavakkoli

AU - Einali, Golzar

AU - Ghorbanzadeh, Omid

AU - Nachappa, Thimmaiah Gudiyangada

AU - Gholamnia, Khalil

AU - Blaschke, Thomas

AU - Ghamisi, Pedram

PY - 2022/2/1

Y1 - 2022/2/1

KW - ALOS

KW - Dempster-Shafer theory

KW - Forest fire

KW - Heterogeneous data

KW - Landsat 8

KW - Random forest (RF)

KW - Sentinel-2

KW - SRTM

KW - Support vector machines (SVM)

KW - Susceptibility mapping

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UR - https://resolver.obvsg.at/urn:nbn:at:at-ubs:3-24381

U2 - 10.3390/rs14030672

DO - 10.3390/rs14030672

M3 - Article

AN - SCOPUS:85123718927

VL - 14

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 3

M1 - 672

ER -

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

Bibliographical note

Keywords

Fields of Science and Technology Classification 2012

UN SDGs

Access to Document

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Cite this