The assessment of land use land cover change is extremely important for understanding the
relationship between humans and nature. The enormous changes at a regional scale and …

Change vector analysis (CVA) has been widely used in change detection of multitemporal
multispectral images, whereas the use of a spectral angle mapper (SAM) is always ignored …

Map** and monitoring of the glacier changes over different regions of Earth surface is a
challenging task due to regional rugged topography and climate conditions. This study …

Rapid and accurate surveys of land are essential for protecting ecosystems. This study
aimed to survey the spatial–temporal land degradation patterns and explore its driving …

The change detection via remote sensing offers a cost-effective solution to monitor the earth
surface variations and manage natural resources. Change vector analysis (CVA) is one of …

Sudden short-term severe droughts have major impacts on ecosystem balance. Synoptic
and replicable measurements from remotely sensed data are essential for calculating …

Remote-sensing-based multi-temporal satellite images allow the map** of changes in
built-up areas over time to illustrate the urban development. An improved normalized …

Change vector analysis (CVA) is a simple yet attractive method to detect changes with
remote sensing images. Since its first introduction in 1980, CVA has received increased …

The detection of rapid snow cover variations over undulating Himalayan mountain ranges
may get challenging due to the existence of steep slopes and a diverse range of spatial …

Accurate built-up information is imperative for loss estimation and disaster management
after the occurrence of catastrophic events such as earthquake, tornado, tsunami and flood …