Geohazard monitoring and assessment is one of the major application research fields of DiscoveryNet project serving for scientific knowledge discovery via distributed high throughput devices. This paper reports the algorithm and software development of imageodesy, its implementation on MPI and GRID. The imageodesy techniques based on normalised-cross correlation and phase correlation are capabl...

classifying age classes in a large area using remotely sensed data has considerable significance for forest sustainable management. in this research, landsat etm+ data from loveh forest, dating july 2002, were analyzed to investigate the potential of this sensor for age class mapping. we applied a systematic cluster sampling method to collect field data. we used 99 plots so that contained 32 pl...

To evaluate accuracy of low resolution vegetation mapping for hydrological purposes, a comparative study of NDVI images derived from MODIS and Landsat 7 ETM+ data has been done. Main goal is to understand how effective MODIS images can be for vegetation characterization on large areas, as compared to the Landsat 7 ETM+ ones. In this paper a methodology is proposed with the aim of measuring the ...

The efficacy of integrating open access geospatial data to produce habitat suitability maps for the corn bunting (Miliaria calandra) was investigated. Landsat Enhanced Thematic Mapper Plus (ETM+), Shuttle Radar Topography Mission (SRTM) and Corine (Coordination of Information on the Environment) land cover data for the year 2000 (CLC2000) were processed to extract explanatory variables and divi...

Himalayas has one of the largest resources of snow and ice, which act as a freshwater reservoir for all the rivers originating from it. Monitoring of these resources is important for the assessment of availability of water in the Himalayan Rivers. The mapping of Glaciers is very difficult task because of the inaccessibility and remoteness of the terrain. Remote sensing techniques are often the ...

In the present study, it was aimed at combining remote sensing technology, geographic information system and statistical data in order to provide a rather rapid, sensitive and comprehensive overview of current situation of Turkish river basins in terms of existing spatial data. For the aim of the study, all statistical information gathered from the national authorities on regional basis was ove...

The aim of this study is to quantify the actual urbanization activity near the catchment area in the urban area of interest located in the vicinity of the Agriokalamin River area of Kissonerga Village in Paphos District. Remotely sensed data such as aerial photos, Landsat-5/7 TM/ETM+ and Quickbird image data have been used to track the urbanization activity from 1963 to 2008. In-situ GPS measur...

Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, and global scales. In addition to image statistics-based supervised and unsupervised classifiers, spectral indexand threshold-based approaches ha...

This paper discusses the development and implementation of a geospatial data processing method and multi-decadal Landsat time series for computing general coastal U.S. land-use and land-cover (LULC) classifications and change products consisting of seven classes (water, barren, upland herbaceous, nonwoody wetland, woody upland, woody wetland, and urban). Use of this approach extends the observa...

Perimeter, surface area, total hydrodynamic aperture, and degree of hydrodynamic aperture are key landscape parameters used to quantify differences in the biological functioning of Tuamotu Archipelago atolls (French Polynesia). In a previous study, these landscape parameters were computed using Satellite pour l’observation de la terre (SPOT) highresolution visible (HRV) data at 20 m spatial res...