Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …

Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …

The U-net is nowadays among the most popular deep learning algorithms for land use/land
cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar …

There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …

The mountain systems of the Hindu Kush Himalaya (HKH) are changing rapidly due to
climatic change, but an overlooked component is the subnival ecosystem (between the …

Manual inspection has been a common application for counting the trees and plants in
orchards in precision agriculture processes. However, it is a time-consuming and, labour …

Monitoring forest–agriculture mosaics is crucial for understanding landscape heterogeneity
and managing biodiversity. Mapping these mosaics from remotely sensed imagery remains …

Deforestation is a global change driver that contributes to atmospheric carbon emissions,
causes biodiversity loss and ecosystem services degradation. Usually, this process has …

With the advent of high resolution satellite imagery and airborne digital camera data
approaches that include contextual information are more commonly utilized. One way to …

Object building and the extraction of homogeneous landscape units on which spatial
statistics can be applied is useful in assessing land use and land cover change. Object …