A Review of forest fire combating efforts, challenges and future directions in Peninsular Malaysia, Sabah, and Sarawak

YJ Chew, SY Ooi, YH Pang, KS Wong - Forests, 2022 - mdpi.com
The land surface of Malaysia mostly constitutes forest cover. For decades, forest fires have
been one of the nation's most concerning environmental issues. With the advent of machine …

Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China

W Li, Q Xu, J Yi, J Liu - Scientific reports, 2022 - nature.com
Forest fires are among the major natural disasters that destroy the balance of forest
ecosystems. The construction of a forest fire prediction model to investigate the driving …

Monitoring wildfires in the northeastern peruvian amazon using landsat-8 and sentinel-2 imagery in the GEE platform

E Barboza Castillo, EY Turpo Cayo… - … International Journal of …, 2020 - mdpi.com
During the latest decades, the Amazon has experienced a great loss of vegetation cover, in
many cases as a direct consequence of wildfires, which became a problem at local, national …

Forest fire prediction with imbalanced data using a deep neural network method

C Lai, S Zeng, W Guo, X Liu, Y Li, B Liao - Forests, 2022 - mdpi.com
Forests suffer from heavy losses due to the occurrence of fires. A prediction model based on
environmental condition, such as meteorological and vegetation indexes, is considered a …

[HTML][HTML] Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain

M Bugallo, MD Esteban, MF Marey-Pérez… - Journal of Environmental …, 2023 - Elsevier
Wildfires have changed in recent decades. The catastrophic wildfires make it necessary to
have accurate predictive models on a country scale to organize firefighting resources. In …

Predicting forest fire using multispectral satellite measurements in Nepal

A Qadir, NR Talukdar, MM Uddin, F Ahmad… - Remote Sensing …, 2021 - Elsevier
The present study examined the geospatial datasets concerning fire points, topography,
vegetation types, tree cover percent, ecological zone, and climate to understand the …

[PDF][PDF] Analisis Perkembangan Kepadatan Permukiman di Kota Ambon Tahun 2013 dan 2023 Menggunakan Metode Kernel Density

PC Latue, SE Manakane… - Blend Sains Jurnal …, 2023 - jurnal.ilmubersama.com
Jumlah penduduk yang semakin bertambah tentunya berdampak pada kepadatan
permukiman di Kota Ambon. Penelitian ini bertujuan untuk mengetahui perkembangan …

Spatiotemporal patterns of burned areas based on the geographic information system for fire risk monitoring

D Arisanty, M Muhaimin, D Rosadi… - … Journal of Forestry …, 2021 - Wiley Online Library
Forest and land fires occur every year in Indonesia. Efforts to handle forest and land fires
have not been optimal because fires occur in too many places with unclear patterns and …

Forest-fire-risk prediction based on random forest and backpropagation neural network of Heihe area in Heilongjiang province, China

C Gao, H Lin, H Hu - Forests, 2023 - mdpi.com
Forest fires are important factors that influence and restrict the development of forest
ecosystems. In this paper, forest-fire-risk prediction was studied based on random forest …

Spatiotemporal heterogeneity of forest fire occurrence based on remote sensing data: An analysis in anhui, china

X Zhang, M Lan, J Ming, J Zhu, S Lo - Remote Sensing, 2023 - mdpi.com
A forest fire is a destructive disaster that is difficult to handle and rescue and can pose a
significant threat to ecosystems, society, and humans. Since driving factors and their effects …