This study focuses on the comparison between the classical and object-oriented image classifications of remote sensing imagery in the arid area. Due to its special geographic environment and socio-economic contexts, the land cover and its spatio-temporal pattern in aridzone is very different from those in coastal area, thus some conventional methods of remote sensing image classification may no...

Despite the population stagnation in many industrialized countries, we experience a steady sprawl of urban/suburban space. This fact is based on the migration out of the inner cities, increasing demands on living space, and set-aside of land for commercial developments. In developing countries, this urban growth occurs at dramatic speeds and costs to the environment. Often, planning offices hav...

Multitemporal satellite optical images of the same terrain are very applicable in monitoring and quantifying large scale land cover change over time. These images are confounded in terms of radiometric consistency due to differences in sensor calibration parameters, illumination, geometric condition and variation in atmospheric effects. To analyze these images, it is necessary to omit mentioned...

Landslides are amongst the most damaging natural hazards in the mountainous terrain like Himalaya. The study of landslides has drawn worldwide attention mainly due to increasing awareness of socio-economic impacts of landslides. Remote sensing images provide many useful land use information to combine in a GIS environment with other spatial factors influencing the occurrence of landslide. The l...

International Journal of Remote Sensing Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713722504 Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach C. Zhang a; W. Li a; D. Travis b a Department of Geography, Kent State University, b Department of Geography and Geology, Universit...

forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

The northwestern part of the Kerman Cenozoic magmatic arc (KCMA) contains many areas with porphyry copper mineralization. In this research, we used the advanced space-borne thermal emission and reflection radiometer (ASTER) and Enhanced Thematic Mapper plus (ETM+) images of this region to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. The spectral meas...

as the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. this processing comprises two fundamental and critical steps towar...