the research used the satellite image (landsat 7 etm ) within the thermal infrared sixth band (tir6) and geographic information system (gis) to determine the air pollution and its relationship with the land cover (lc) and land use (lu) of baghdad city. concentration of total suspended particles (tsp), lead (pb), carbon oxides (co, co2), and sulphur dioxide (so2) were obtained from 22 ground mea...

in land use planning, mapping the present land use / land cover situation is a necessary tool for determining the current condition and for identifying land use trends. in this study, in order to provide a land use/ land cover map for ilam watershed, the irs-1c image data from 25th april 2006 were used. initial qualitative evaluation on data showed no significant radiometric error. ortho-rectif...

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New aerial cameras and new advanced geoprocessing tools improve the generation of urban land cover maps. Elevations can be derived from stereo pairs with high density, positional accuracy, and efficiency. The combination of multispectral high-resolution imagery and high-density elevations enable a unique method for the automatic generation of urban land cover maps. In the present paper, imagery...

This study examines the relationships between land cover change and water quality change in three urbanizing watersheds in the Pacific Northwest region of the United States: Burnt Bridge Creek, Salmon Creek, and the Tualatin River. All three watersheds have had many of their water quality parameters exceeding Total Maximum Daily Loads as required by their state’s environmental agencies in the p...

A number of national, regional and global land cover classification systems have been developed to meet specific user requirements for land cover mapping exercises, independent of scale, nomenclature and quality. However, this variety of land-cover classification systems limits the compatibility and comparability of land cover data. Furthermore, the current lack of interoperability between diff...

Land cover classification is the most important element of land cover mapping and is a key input to many societal benefits. Traditional classification methods require a large amount of remotely sensed images, which are time consuming and labour intensive. Recently, crowdsourcing geographic information (CGI), including geo-tagged photos and other sources, has been widely used with lower costs, b...