This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to da...

in this research, the applicability of geographic information system (gis) and remote sensing (rs) techniques was tested to assess soil erosion risk with the icona erosion model. this study was carried out in the tange bostanak area because of its variety of diverse landforms, land uses and land covers. the erosion risk assessment phase of this model consists of seven steps that mainly use slop...

given the critical role played by urban green spaces and the emergence of remote sensing as avaluable natural resource management tool, this study sought to identify trends in green spaces within thecontext of south africa’s transition period (1990 - 2000). using the city of port elizabeth as a case study, threesets of landsat - 5 thematic mapper images (1990, 1995 and 2000) were geo-processed,...

development of remote sensing (rs) and gis techniques and that of landscape metrics in the late 1980s have caused to introduce a new dimension in the landscape ecology arena (the relationship between spatial patterns and ecological processes). however, scale dependence of some of landscape metrics and rs systems of different spatial resolution has resulted in particular attention into selection...

the objective of this study is to develop a novel methodology integrating remote sensing, geographic information system technology and local spatial autocorrelation geo-computation for quick drought assessment. one group of drought indices, based on the condition of the vegetation, includes the normalized difference vegetation index (ndvi), anomaly of normalized difference vegetation index (ndv...

the reflectance spectrum of green leaves is considerably affected by their biochemical and biophysical properties. it is possible to extract biochemical information from a continuous vegetation spectrum produced using hyperspectral sensors. the numerous absorption features present in the vegetation spectrum carry a considerable amount of information related to the content and the structure of t...

the objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. as a result, different algorithms such as the minimum distance ofmean (mdm), mahalanobis distance (md), maximum likelihood (ml), artificial neural network (ann), spectral anglemapper (sam), and support vector machine (svm) were...

the drought caused a series of effects on many sectors of economy, especially natural resources. during two last decades, iran has suffered from several severe to extreme agricultural droughts which caused significant decreases in rangeland and agriculture yields. this paper discusses the detection of agricultural drought severity over the rangelands of markazi province between 2000 and 2014 us...

This Special Issue focuses on the potential of remote sensing (RS) and Earth observation (EO) to visualize solve urban peri-urban geo-environmental issues with aim protect population which is becoming more vulnerable disasters [...]

Soil erosion is one of the important and worldwide environmental and economic issues. High amount of sediments accumulations behind the different structures such as dams requires several attempts to minimize their potential risks. Therefore, some quantified data will be needed in order to recognize those critical areas which requires urgent conservation. Since conventional procedures are time c...