Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …

Wildfire plays an important role in ecosystem dynamics, land management, and global
processes. Understanding the dynamics associated with wildfire, such as risks, spatial …

Purpose This paper reviews the most recent literature related to the use of remote sensing
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …

Remote sensing techniques are effectively used for measuring the overall loss of terrestrial
ecosystem productivity and biodiversity due to forest fires. The current research focuses on …

Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

The deadly threat that landslide has brought about is drawing more and more attention to
analyze the mechanisms of landslides and the relationship between landslides and climate …

Multispectral imagery is a widely used source of information to address post-fire ecosystem
management. The aim of this study is to evaluate the ability of remotely sensed indices …

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

Changes in primary productivity have the potential to substantially alter food webs, with
positive outcomes for some species and negative outcomes for others. Understanding the …

Abstract Remotely sensed Land Surface Temperature (LST) is of paramount importance in
numerous environmental applications. Although, coarse spatial resolution sensors provide …