The production of thematic maps, such as those depicting land cover, using an image
classification is one of the most common applications of remote sensing. Considerable …

The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …

Linear spectral unmixing is a commonly accepted approach to mixed-pixel classification in
hyperspectral imagery. This approach involves two steps. First, to find spectrally unique …

While remote sensing has made enormous progress over recent years and a variety of
sensors now deliver medium and high resolution data on an operational basis, a vast …

There is increasing appreciation in the social sciences that context is an important element
in understanding social, economic, cultural, political and demographic processes. An …

The history of remote sensing and development of different sensors for environmental and
natural resources map** and data acquisition is reviewed and reported. Application …

Remote Sensing (RS) refers to the science of identification of earth surface features and
estimation of their geo-biophysical properties using electromagnetic radiation as a medium …