Forest fire occurrence prediction in China based on machine learning methods

Y Pang, Y Li, Z Feng, Z Feng, Z Zhao, S Chen… - Remote Sensing, 2022 - mdpi.com
Forest fires may have devastating consequences for the environment and for human lives.
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …

Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques

ZS Pourtaghi, HR Pourghasemi, R Aretano… - Ecological …, 2016 - Elsevier
Forests are living dynamic systems and these unique ecosystems are essential for life on
earth. Forest fires are one of the major environmental concerns, economic, and social in the …

Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques

H Adab, KD Kanniah, K Solaimani - Natural hazards, 2013 - Springer
Fire in forested areas can be regarded as an environmental disaster which is triggered by
either natural forces or anthropogenic activities. Fires are one of the major hazards in …

Forest fire risk mapping using GIS and remote sensing in two major landscapes of Nepal

A Parajuli, AP Gautam, SP Sharma… - … , Natural Hazards and …, 2020 - Taylor & Francis
Forest fires have increased at an alarming rate in recent years, with multiple consequences
in Nepal's forest ecosystem and landscapes. The research used remote sensing and GIS …

Forest fire induced Natech risk assessment: A survey of geospatial technologies

M Naderpour, HM Rizeei, N Khakzad… - Reliability Engineering & …, 2019 - Elsevier
Forest fires threaten a large part of the world's forests, communities, and industrial plants,
triggering technological accidents (Natechs). Forest fire modelling with respect to …

Evaluation of forest fire risk in the Mediterranean Turkish forests: A case study of Menderes region, Izmir

E Çolak, F Sunar - International journal of disaster risk reduction, 2020 - Elsevier
Turkey is exposed to forest fires damaging thousands of hectares of forest every year. Earlier
studies indicate that Turkey would be one of the most affected Mediterranean countries due …

A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire …

H Pourghasemi, M Beheshtirad… - … , Natural Hazards and …, 2016 - Taylor & Francis
The main purpose of this study is to assess forest fire susceptibility maps (FFSMs) and their
performances comparison using modified analytical hierarchy process (M-AHP) and …

GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling …

A Tiwari, M Shoab, A Dixit - Natural hazards, 2021 - Springer
This study performs a comparative evaluation of Frequency Ratio (FR), Analytic Hierarchy
Process (AHP), and Fuzzy AHP (FAHP) modeling techniques for forest fire susceptibility …

GIS-based forest fire susceptibility zonation with IoT sensor network support, case study—Nature Park Golija, Serbia

I Novkovic, GB Markovic, D Lukic, S Dragicevic… - Sensors, 2021 - mdpi.com
The territory of the Republic of Serbia is vulnerable to various natural disasters, among
which forest fires stand out. In relation with climate changes, the number of forest fires in …

Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran

ZS Pourtaghi, HR Pourghasemi, M Rossi - Environmental earth sciences, 2015 - Springer
Forests are important natural resources having the role of supporting economic activity
which plays a significant role in regulating the climate and the carbon cycle. Forest …