the aim of this study is to investigate underground water quality parameters in gorganrud river basin and their connection with aboveground conditions using gis and artificial neural networks. in order to prepare a land use map of the area, liss iii image of irs satellite of the year 2008 was used in a maximum likelihood classification. the results revealed that there was a significant correlat...

Here we describe a technique to exploit the differential atmospheric paths sampled by ATSR-2 imagery to separate the contributions from atmospheric aerosol and land surface scattering, for the solar reflective channels. The result is an image of the land surface reflectance, relatively uncontaminated by atmospheric scattering, and a separate image of the atmospheric aerosol loading. A general m...

Normally, the status of land cover is inherently dynamic and changing continuously on temporal scale. However, disturbances or abnormal changes of land cover — caused by such as forest fire, flood, deforestation, and plant diseases — occur worldwide at unknown times and locations. Timely detection and characterization of these disturbances is of importance for land cover monitoring. Recently, m...

The problem of scarcity of multi image supporting for satellite image is handled with the help of multispectral sensing image method. In that the SVM-2 (Support Vector Machine – 2) is consider for classifying the different types of land covering area. The workflow of multispectral acquired with an absurd image into orthorectified image, in that we identified several challenges including file fo...

The ASTER sensor onboard NASA’s Earth observing satellite Terra is an optical remote sensor comprised of 14 spectral bands ranging from the visible to thermal infrared region. With its multispectral bands the sensor bears the potential to provide data for both a detailed land use classification of heterogeneously vegetated areas. This study evaluates the potential of ASTER data for land use cla...

1.1 Context With the development of new satellite systems and the accessibility of data from public through web services like Google Earth, remote sensing imagery, knows today an important growing which advanced and still advances researches in this area on different aspects. Especially in cartography, many studies have been conducted for multi-source satellite images classification. These stud...

Many researchers conducted efforts for improving the accuracy of road extraction from satellite images. Many studies have used optical spectrum information of each pixel for road extraction. By applying this method for high resolution satellite image, some problems occurred. This situation is remarkable for urban area. Most of the case, we need the information about land use. In this study, we ...

Vegetation species maps are useful for forestry managements and environmental ecological study. From the forestry management, broad and conifer leaf forest should be mapped. In addition to them, land-cover mapping data with high resolution is needed as validation data sets for low resolution’s land-cover mapping results. SGLI sensor on board GCOM-C satellite, which will be launched in 2014, has...

This study focuses on the analysis of the Landsat-5 TM + SPOT-Pan (1992), IRS-1C/D LISS + Pan (2000), and Landsat-5 TM (2006) satellite images that reflect the drastic land use/land cover changes in the Küçükçekmece Lake region, Istanbul. Landsat-5 TM satellite data dated 2006 was used for mapping water quality. A multiple regression analysis was carried out between the unitless planetary refle...