The last review of the modeling of the land mobile satellite channel was done by Karaliopoulos and Pavlidou in 1999. Since then a lot of work has been done to model the land mobile satellite channel. In this paper an up-to-date review of the modeling of the land mobile satellite channel is presented. We look at the various physical characteristics that influence communications in the land mobil...

Keywords: Fractal dimension Fusion image Wavelet transform Texture Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e. artifacts, in the resulting fused images. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or textural characteristics between different land covers. They only consider th...

The analysis of climate regions is very important for designers and architects, because the increase in density and built up spaces and reduction in open spaces and green lands induce the increase of heat, especially in an urban area, deteriorating the environment and causing health problems. This study analyzes the Land Surface Temperature (LST) differences in the region of Dobrogea, Romania, ...

There are a number of challenges in applying high-spatial resolution satellite image data for analysis of larger urban areas. This paper explores the use of object-oriented image analysis approaches in mapping urban land cover and land use. The study is based on seven IKONOS images covering the Santa Barbara, CA region. Image processing included geometric and atmospheric correction and image se...

Accurate and up-to-date land cover classification data can be used for interesting applications in different fields; by tracking daily changes of forest cover in areas of interest it is possible to quickly detect illegal deforestation. Environmental scientists can further explore the consequences of climate change by measuring how fast ice cover is melting. Urban planners can track city growth ...

A satellite, in its orbit, is affected by perturbing forces, such as atmospheric drag, solar radiation pressure, Earth oblateness, and gravity of the celestial masses (other than the Earth). In this paper, the effects of these forces on the trajectories of different types of LEO satellites and a sample satellite (Z-SAT) are discussed. A few analyses are done on these orbits and the relevant res...

In this paper, a system that is designed and implemented for automatic interpretation of some patterns in satellite images is described. Some natural patterns such as land, island, water body, river, fire in remotesensed images are extracted and summarised in linguistic terms using fuzzy sets. A new graphical tool (Multimedia University’s RSIMANA-Remote-Sensing Image Analyser) developed for ima...

there have been different indices identified for desertification. among these is technogenic desertification index which seems much more efficient. in this study, some of technogenic desertification indices were studied and evaluated. first land use maps of the region were taken from irs-pan satellite image and aerial photos analysis. after evaluating the area of different uses, lands that had ...

Satellite imagery is being used increasingly in association with national forest inventories (NFIs) to produce maps and enhance estimates of forest attributes. We simulated several image spatial resolutions within sparsely and heavily forested study areas to assess resolution effects on estimates of forest land area, independent of other sensor characteristics. We spatially aggregated 30 m data...

Remote sensing image classification is one of the important methods of obtaining land cover/use information for nationwide general survey of geographical conditions in China. In this study, an object-oriented decision tree algorithm is utilized for land cover and land use mapping from high resolution WorldView-2 satellite remote sensing images. The major steps of this approach include image seg...