The performance of multiplicative and Intensity Hue Saturation (IHS) techniques to fuse RADARSAT-2 with IKONOS imagery for land cover mapping was assessed. Four major land covers were identified in each case: water, inland forest, wetland forest and urban areas. The…

This paper illustrates a pilot study designed to examine spectral response of ‘Conference’ pear trees (Pyrus communis L.) to water stress induced by regulated deficit irrigation. The main focus is to investigate the possibility of detecting early stage water stress…

Like many other small and developing nations, Antigua and Barbuda has had to face the exploitation of its natural resources in the shadows of national progress. Activities linked to the growing of industries such as tourism and agriculture, and pressures…

A basic research area in remote sensing is the depths calculation and the aquatic environment protection. This paper explores the depths measurement of the Lake Pramoritsa (North-Western Greece), through digital processing of multispectral image Worldview-2 (WV-2). To this objective, a bathymetry algorithm and different image…

In this study the texture analysis is used to classify a high resolution QuickBird panchromatic image, in an urban area. The gray level cooccurrencematrix (GLCM) is computed to extract texture images. Texture measures are considered to be divided into three…

Considerable attention has been applied to the use of Landsat satellite imagery in estimating forest conditions. Here, we focus on the stand-level forest characteristics that have been estimated with this imagery, the classification techniques that have been employed, and the…

The dwindling tiger populations and their habitats globally due to natural and anthropogenic causes seems to be a strong deterent for their in situ conservation. Once inhabited by tigers, Sariska Wildlife Reserve, India was not included as one of the…

The main purpose of the present study was to develop a high accuracy forest extent map using spatial data mining techniques (Artificial Neural Network (ANN)), supervised and unsupervised classification and GIS overlay processing methods. Another purpose of this study was…

Cataloging and monitoring the quality and quantity of freshwater rearing habitat for Pacific salmon Oncorhynchus spp. is essential for maintaining self-sustaining stocks of these species.  Field-based habitat monitoring in remote areas can be expensive, impractical, and subjective. We demonstrate the…

For the formulation of sound decisions about unconventional soils, mapping waterlogged and gypsiferous soils in arid areas are challenging. A neural networks model for mapping unconventional soils is presented in the current study. With this aim, the main objective of…