Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

被引：0

作者：

Mohajane, Meriame ^{[1
,2
]}

Costache, Romulus ^{[3
]}

Karimi, Firoozeh ^{[4
]}

Bao Pham, Quoc ^{[5
]}

Essahlaoui, Ali ^{[2
]}

Nguyen, Hoang ^{[6
,7
]}

Laneve, Giovanni ^{[8
]}

Oudija, Fatiha ^{[1
]}

机构：

[1] Soil and Environment Microbiology Team, Department of Biology, Faculty of Sciences, Moulay Ismail University, Zitoune, Meknès,BP,11201, Morocco

[2] Geo-Engineering and Environment Laboratory, Water Sciencs and Environment Engineering Team, Department of Geology, Faculty of Sciences, Moulay Ismail University, Zitoune, Meknès,BP,11201, Morocco

[3] Department of Civil Engineering, Transilvania University of Brasov, 5, Turnului Str, Brasov,500152, Romania

[4] Department of Geography, Environment, and Sustainability, University of North Carolina-Greensboro, Greensboro,NC,27402, United States

[5] Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Viet Nam

[6] Department of Surface Mining, Mining Faculty, Hanoi University of Mining and Geology, 18 Pho Vien, Duc Thang Ward, Bac Tu Liem District,Hanoi,100000, Viet Nam

[7] Center for Mining, Electro-Mechanical Research, Hanoi University of Mining and Geology, 18 Pho Vien, Duc Thang Ward, Bac Tu Liem District,Hanoi,100000, Viet Nam

[8] University of Rome 'La Sapienza', Scuola di Ingegneria Aerospaziale, Via Salaria 851, Rome,00138, Italy

来源：

Ecological Indicators | 2021年 / 129卷

关键词：

Remote sensing;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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