Since remote sensing images of post-fire vegetation are characterized by high resolution,
multiple interferences, and high similarities between the background and the target area, it is …

Accurate map** of burned areas (BAs) is essential for post-disaster reconstruction, air
quality assessment, and estimation of fire emissions. Remote sensing has become the most …

Climate change is perhaps the biggest single threat to humankind and the environment, as it
severely impacts our terrestrial surface, home to most of the living species. Inspired by video …

Change detection using satellite/aerial images is used to quantify the impacts of many
natural and man-made disasters. At the occurrence of such events, both prechange optical …

Wildfires pose an increasing risk to expanding urban population centers, and to critical
habitats for plant and animal species. Improving current wildland management strategies …

Change detection (CD) is an important yet challenging task in remote sensing. In this article,
we underline that the combination of unsupervised and supervised methods in a …

Forest disturbances have a major impact on ecosystem dynamics both at local and global
scales. Accordingly, it is important to acquire objective information about the location, nature …

Detecting changes on the ground in multitemporal Earth observation data is one of the key
problems in remote sensing. In this article, we introduce Sibling Regression for Optical …

Burned area (BA) plays a pivotal role in fire management and the assessment of fire impact
on earth-atmosphere system. Threshold-based segmentation from a single image is an …

Global-scale assessment of burned area (BA) is essential for climate studies and open
access satellite-borne multispectral (MS) imagery is vital for the map** purpose. Global …