The frequency and severity of forest fires, coupled with changes in spatial and temporal
precipitation and temperature patterns, are likely to severely affect the characteristics of …

The evolution and transformations of swidden agriculture closely relate to ongoing studies of
carbon budget, biological diversity, ecosystem services, indigenous wellbeing, and ethnic …

Reliable fire severity map** is a vital resource for fire scientists and land management
agencies globally. Satellite derived pre-and post-fire differenced severity indices (∆ FSI) …

The main purpose of this study is to explore the relationship between three field-based fire
severity indices (Composite Burn Index-CBI, Geometrically structure CBI, weighted CBI) and …

Landsat-based fire severity datasets are an invaluable resource for monitoring and research
purposes. These gridded fire severity datasets are generally produced with pre-and post-fire …

This article aims to provide a more practical forest fire spread model for predicting and
managing forest fires in Heilongjiang Province, China. Heilongjiang is dominated by …

Wildfires are increasing in intensity and frequency across the globe due to climate change
and rising global temperature. Development of novel approach to Monitor wildfire …

Comprehensive assessment of ecological change after fires have burned forests and
rangelands is important if we are to understand, predict and measure fire effects. We …

Accurate and rapid map** of fire damaged areas is fundamental to support fire
management, account for environmental loss, define planning strategies and monitor the …

The development of improved spatial and spectral resolution sensors provides new
opportunities to assess burn severity more accurately. This study evaluates the ability of …