The expansion of irrigated agriculture during the Soviet Union (SU) era made Central Asia a leading cotton production region in the world. However, the successor states of the SU in Central Asia face on-going environmental damages and soil degradation that are endangering the sustainability of agricultural production. With Landsat MSS and TM data from 1972/73, 1977, 1987, 1998, and 2000 the exp...

Modification of the original bands and integration of ancillary data in digital image classification has been shown to improve land use land cover classification accuracy. There are not many studies demonstrating such techniques in the context of the mountains of Nepal. The objective of this study was to explore and evaluate the use of modified band and ancillary data in Landsat and IRS image c...

In this study, the capability of geographic object-based image analysis (GEOBIA) in the reconstruction of the recent fire history of a typical Mediterranean area was investigated. More specifically, a semi-automated GEOBIA procedure was developed and tested on archived and newly acquired Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Operational Land Imager (OLI) images in order...

The Lake Chad located in the west-central Africa Sahel region at edge of Sahara experienced severe drought during 1970s and 1980s overexploitation (unintegrated unsustainable use), which is a result variant land uses water management practices last 50 years. This resulted decline level surrounding rivers. present study analyzed satellite images from Landsat-MSS, Landsat-OLI to investigate chang...

sabzkouh protected area, with the variety of natural ecosystems and landscapes, is very rich from the point of diversity in climate, topography, habitats and wildlife that is located in central zagros. evidences show that its ecosystems such as other iranian semiarid natural ecosystems, undergone changes in their vegetation structure over the past years. obtaining multi-spectral and multi-tempo...

A new multispectral image context classification, which is based on a stochastic relaxation algorithm and Markov-Gibbs random field, is presented. The implementation of the relaxation algorithm is related to a form of optimization programming using annealing. The authors motivate a Bayesian context decision rule, and a Markov-Gibbs model for the original Landsat MSS (multispectral scanner) imag...

We describe a method to obtain the principal components of a multispectral image. It allows a simultaneous radiometric enhancement by means of a suitable finer level quantization that does not introduce artifacts. Using this method we are able to produce good photographic prints pf the principal components of LANDSAT MSS images. As a matter of fact the twn first components (that we call bands A...