Mapping forest fire risk—a case study in Galicia (Spain)
A Novo, N Fariñas-Álvarez, J Martínez-Sánchez… - Remote Sensing, 2020 - mdpi.com
The optimization of forest management in roadsides is a necessary task in terms of wildfire
prevention in order to mitigate their effects. Forest fire risk assessment identifies high-risk …
prevention in order to mitigate their effects. Forest fire risk assessment identifies high-risk …
Assessing forest cover vulnerability in Uttarakhand, India using analytical hierarchy process
P Pokhriyal, S Rehman, G Areendran, K Raj… - Modeling Earth Systems …, 2020 - Springer
Forests are the most important terrestrial ecosystems providing sustenance not only to
biodiversity but also to the rural communities. These resources are subjected to constant …
biodiversity but also to the rural communities. These resources are subjected to constant …
Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: Method and case study
N Nuthammachot, D Stratoulias - Environment, Development and …, 2021 - Springer
Fire is one of the main causes of environmental and ecosystem change. Geospatial data,
derived from satellite images and surveying observations, are a useful tool in managing land …
derived from satellite images and surveying observations, are a useful tool in managing land …
Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: A case study in the mountainous terrain of Northeast India
This study presents a geospatial approach in conjunction with a multi-criteria decision-
making (MCDM) tool for mapping forest fire risk zones in the district of Ri-Bhoi, Meghalaya …
making (MCDM) tool for mapping forest fire risk zones in the district of Ri-Bhoi, Meghalaya …
Modeling wildfire risk in western Iran based on the integration of AHP and GIS
This study aimed at delineating the wildfire risk zones in a fire-prone region located in a
rarely addressed area of western Iran (Paveh city) by assessing the potential of factors such …
rarely addressed area of western Iran (Paveh city) by assessing the potential of factors such …
Integrating meteorological and geospatial data for forest fire risk assessment
Z Parvar, S Saeidi, S Mirkarimi - Journal of environmental management, 2024 - Elsevier
Understanding the factors that cause fire is crucial for minimizing the fire risk. In this
research, a comprehensive approach was adopted to recognize factors influencing forest …
research, a comprehensive approach was adopted to recognize factors influencing forest …
A GIS-and AHP-based approach to map fire risk: a case study of Kuan Kreng peat swamp forest, Thailand
N Nuthammachot, D Stratoulias - Geocarto International, 2021 - Taylor & Francis
Forest fires are abrupt transformations of the natural ecosystem and management authorities
are required to take preventive measures to tackle fire events. Geographic information …
are required to take preventive measures to tackle fire events. Geographic information …
Geospatial characteristics of Colorado wildfire occurrences from 2001 to 2020
JL Wright, SS Roy - Remote Sensing Applications: Society and …, 2022 - Elsevier
A bstract Forest fires are a major environmental concern and can pose a direct threat to the
environment, communities, and people living in fire-prone areas. Colorado has experienced …
environment, communities, and people living in fire-prone areas. Colorado has experienced …
GIS-based Modeling for vegetated land fire prediction in Qaradagh Area, Kurdistan Region, Iraq
This study aims to estimate the susceptibility of fire occurrence in the Qaradagh area of the
Iraqi Kurdistan Region, by examining 16 predictive factors. We selected these predictive …
Iraqi Kurdistan Region, by examining 16 predictive factors. We selected these predictive …
Development of an application for creation and learning of neural networks to utilize in environmental sciences
I Rustamovich Sultanbekov… - Caspian Journal of …, 2020 - cjes.guilan.ac.ir
Machine learning methods originated from artificial intelligence and today are applied in
several fields concerning environmental sciences. Thanks to their powerful nonlinear …
several fields concerning environmental sciences. Thanks to their powerful nonlinear …