Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region

F Sivrikaya, Ö Küçük - Ecological Informatics, 2022 - Elsevier
This study proposed an integrated approach to generating a forest fire risk map. It used
geographic information system–based multiple criteria decision analysis (GIS-MCDA) with …

Wildfire risk zone map** in contrasting climatic conditions: an approach employing AHP and F-AHP models

A Sinha, S Nikhil, RS A**, JH Danumah, S Saha… - Fire, 2023 - mdpi.com
Wildfires are one of the gravest and most momentous hazards affecting rich forest biomes
worldwide; India is one of the hotspots due to its diverse forest types and human-induced …

Forest fire risk map** using analytical hierarchy process (AHP) and earth observation datasets: A case study in the mountainous terrain of Northeast India

R Lamat, M Kumar, A Kundu, D Lal - SN Applied Sciences, 2021 - Springer
This study presents a geospatial approach in conjunction with a multi-criteria decision-
making (MCDM) tool for map** forest fire risk zones in the district of Ri-Bhoi, Meghalaya …

Predicting future urban flood risk using land change and hydraulic modeling in a river watershed in the central Province of Vietnam

HD Nguyen, D Fox, DK Dang, LT Pham, QV Viet Du… - Remote Sensing, 2021 - mdpi.com
Flood risk is a significant challenge for sustainable spatial planning, particularly concerning
climate change and urbanization. Phrasing suitable land planning strategies requires …

[HTML][HTML] A highly accurate forest fire prediction model based on an improved dynamic convolutional neural network

S Zheng, P Gao, W Wang, X Zou - Applied Sciences, 2022 - mdpi.com
In this work, an improved dynamic convolutional neural network (DCNN) model to accurately
identify the risk of a forest fire was established based on the traditional DCNN model. First …

Develo** a new hourly forest fire risk index based on catboost in South Korea

Y Kang, E Jang, J Im, C Kwon, S Kim - Applied Sciences, 2020 - mdpi.com
Forest fires can cause enormous damage, such as deforestation and environmental
pollution, even with a single occurrence. It takes a lot of effort and long time to restore areas …

[HTML][HTML] UAV assisted spatiotemporal analysis and management of bushfires: A case study of the 2020 victorian bushfires

HS Munawar, F Ullah, SI Khan, Z Qadir, S Qayyum - Fire, 2021 - mdpi.com
Australia is a regular recipient of devastating bushfires that severely impacts its economy,
landscape, forests, and wild animals. These bushfires must be managed to save a fortune …

[HTML][HTML] A UAV-based forest fire patrol path planning strategy

Y Xu, J Li, F Zhang - Forests, 2022 - mdpi.com
The application of UAVs in forest fire monitoring has attracted increasing attention. When a
UAV carries out forest fire monitoring cruises in a large area of the forest, one of the main …

Investigation of wildfire risk and its map** using GIS-integrated AHP method: A case study over Hoshangabad Forest Division in Central India

MA Khan, A Gupta, P Sharma, A Roy - Environment, Development and …, 2024 - Springer
Increasing wildfire risk is a major menace to the subtropical biodiversity. However, regional
plan may not oblige the local management in wildfire prevention in a locality where people …

Forest fire risk zone map** of Eravikulam National Park in India: A comparison between frequency ratio and analytic hierarchy process methods

GS Pradeep, JH Danumah, S Nikhil… - Croatian Journal of …, 2022 - hrcak.srce.hr
Sažetak Forest fire is one of the most common natural hazards occurring in the Western
Ghats region of Kerala and is one of the reasons for forest degradation. This natural disaster …