Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Remotely sensed data have become the primary source for biomass estimation. A summary
of previous research on remote sensing‐based biomass estimation approaches and a …

Tanguar Haor is one of the two listed Ramsar Site of this country which contains a rich
amount of biodiversity as well as a highly productive ecosystem. But the valuable landscape …

Timely and accurate change detection of Earth's surface features is extremely important for
understanding relationships and interactions between human and natural phenomena in …

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 …

Mapping of snow and estimation of snow characteristics from satellite remote sensing data
require that we distinguish snow from other surface cover and from clouds and compensate …

Estimating the distribution of impervious surface, a major component of the vegetation–
impervious surface–soil (V–I–S) model, is important in monitoring urban areas and …

Optical Properties and Remote Sensing of Inland and Coastal Waters discusses the
methodology and the theoretical basis of remote sensing of water. It presents physical …

This article discusses research in which the authors applied the Revised Universal Soil Loss
Equation (RUSLE), remote sensing, and geographical information system (GIS) to the …