Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …

In recent years, the number of wildfires has increased all over the world. Therefore, mapping
wildfire susceptibility is crucial for prevention, early detection, and supporting wildfire …

Abstract Forest Change Detection (FCD) is a critical component of natural resource
monitoring and conservation strategies, enabling informed decision-making. Various …

Infrastructure development is a leading driver of forest cover loss in the tropics, resulting in a
significant decrease in biodiversity. With recent advancements in digital image processing …

This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …

LULC maps are important thematic maps that provide a baseline for monitoring, assessing,
and planning activities. This study incorporates spatio-temporal land use/land cover (LULC) …

Ecologists collect their data manually by visiting multiple sampling sites. Since there can be
multiple species in the multiple sampling sites, manually classifying them can be a daunting …

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 …

Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …

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 …