The globe's population is increasing day by day, which causes the severe problem of
organic food for everyone. Farmers are becoming progressively conscious of the need to …

Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …

Advances in computing technology have fostered the development of new and powerful
deep learning (DL) techniques, which have demonstrated promising results in a wide range …

The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the
spotlight. The combination of high spatial resolution MS images with HS data showing a …

Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …

Hyperspectral imaging has been used in a variety of geological applications since its advent
in the 1970s. In the last few decades, different techniques have been developed by …

Monitoring global biodiversity from space through remotely sensing geospatial patterns has
high potential to add to our knowledge acquired by field observation. Although a framework …

We review both widely used methods and new techniques proposed in the recent literature.
The basic concepts, categories, open issues, and challenges related to CD in HS images …

Flood management, which involves flood prediction, detection, map**, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …

Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …