Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

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 …

Land use/land cover (LULC) changes are among the most significant human-caused global
variations affecting the natural environment and ecosystems. Pakistan's LULC patterns have …

Over the last several decades, remote sensing has emerged as an effective tool to monitor
irrigated lands over a variety of climatic conditions and locations. The objective of this …

This study evaluated how spectral resolution of high-spatial resolution optical remote
sensing data influences detailed mapping of urban land cover. A comprehensive regional …

Fuzzy classification techniques have been developed recently to estimate the class
composition of image pixels, but their output provides no indication of how these classes are …

A multi-scale, object-based analysis of a Quickbird satellite image has been carried out to
delineate forest vegetation polygons in a natural forest in Northern Greece. Following a multi …

Since 1999, very high spatial resolution satellite data represent the surface of the Earth with
more detail. However, information extraction by per pixel multispectral classification …

Mapping rural land cover features, such as trees and hedgerows, for ecological applications
is a desirable component of the creation of cartographic maps by the Ordnance Survey …

Classification of remotely sensed imagery for reliable land use and land cover (LULC)
remains a challenge in areas where spectrally similar LULC features occur. For example …