Satellite data allows us to solve a wide range of challenging tasks remotely, including
monitoring changing environmental conditions, assessing resources, and evaluating …

Land use and land cover (LULC) changes are important indicators of environmental and
socio-economic changes made by the natural and anthropogenic sources. The present …

Aerial seeding with drones has great potential in forest restoration but faces enormous
challenges to be efficient and scalable. Current protocols use blanket seeding throughout …

Remotely sensed data are dominated by mixed land use and land cover (LULC) types.
Spectral unmixing (SU) is a key technique that disentangles mixed pixels into constituent …

Multispectral satellite images are valuable sources of information for ecologists, agriculture
climatologists, or environmentalists. Handling satellite images represents a challenge for …

The availability of frequent and cost-free satellite images is in growing demand in the
research world. Such satellite constellations as Landsat 8 and Sentinel-2 provide a massive …

C omputer Vision (CV) is an Artificial Intelligence (AI) field that replicate the human eyes and
brain's ability in perceiving images and understanding them. Deep learning (DL) models …

abstract This study, motivated by the flood disaster that took place at the glaciated region in
Rishi Ganga Basin of Nanda Devi Biosphere Reserve (NDBR), Uttarakhand on 7th February …