Image classification is one of the most basic operations of digital image processing. The
present review focuses on the strengths and weaknesses of traditional pixel-based …

Post-disaster environments resulting from catastrophic events, leave sequels such as victims
trapped in debris, which are difficult to detect by rescuers in a first inspection. Technological …

The satellite images are applied on a wide range of applications. It plays a vital role in
monitoring and maintaining the environmental changes and also in many agricultural …

Land cover/use changes specially the forest cover changes affect the local surface
temperature (LST) of the earth. In this study, a combination of remote sensing and GIS …

Remote Sensing (RS) implies the science of recognition of earth surface features utilizing
electromagnetic radiation. A lot of images encompass a higher spatial and also radiometric …

Data extraction from high resolution multispectral satellites imageries can be carried out with
the help of different classification techniques. Furthermore, techniques indispensable for …

In recent years, the agricultural system has been adversely impacted and degraded due to
natural disasters such as floods and drought. It greatly influences the food supply and …

The rapid advancement of remote sensing technology in recent years has made it easier to
observe and study the Earth's surface with greater precision. Satellite remote sensors have …

Due to the tremendous need for crop insurance, accurate crop map** and acreage
estimates are essential for crop insurance agencies. The necessity of high demand for crop …

Land cover classification is critical in remote sensing. Reliable classification on landcover is
required to address a wide range of environmental issues. Over recent years, theapplication …