Today more than ever, archeological research is interdisciplinary: environmental sciences, pollen analysis, botany, soil science, and hydrology. In fact, the impacts of human behaviors on environment and environment on human behaviors can be studied through use of remote sensing technology. The use of this important technique gives archaeologists the opportunity to understand these impacts, whi...

The use of remote sensing imagery to obtain land cover and land use maps is a common task in GIS applications. Segmentation techniques identify closed regions in images, producing vector datasets composed by polygons. Since segmentation is a bottom-up technique, the resulting vector datasets are often too detailed. Thus, we need to use generalization techniques to reduce data storage and genera...

Water plays a vital role in the development of activities in an area. The surface water resources are inadequate to fulfill the water demand. Productivity through groundwater is quite high as compared to surface water, but groundwater resources have not yet been properly exploited. Keeping this view, the present study attempts to select and delineate various groundwater potential zones for the ...

analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. in this study, the land use maps in the ardabil plain in north-west part of iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. t...

Landscape metrics rely on classifications of remote sensing data, and errors inherent to the classification scheme will be propagated into any spatial pattern results. This issue is compounded for metrics derived from sub-pixel unmixing techniques, since a universal method for assessing the certainty of these soft classifications has not yet been accepted. This study investigates the role of su...

in the recent years, human activities have led to changes in land use and land cover, consequently, these changes lead to the structure and function of ecosystems. spatial-temporal change detection of land use is important to understand the relationships and interactions between human and natural resources and to make appropriate decisions due to changes in land use and land cover occurs in bro...

The insights gained from present land cover classification activities suggest integration of multi-angle data into classification attempts for future progress. Land cover types that exhibit distinct signatures in the space of remote sensing data facilitate unambiguous identification of cover types. In this two-part series, we develop a theme for consistency between cover type definitions, uniqu...

This paper addresses the problem of detecting land-cover transitions by analysing multitemporal remote-sensing images. In order to develop an effective system for the detection of land-cover transitions, an ensemble of non-parametric multitemporal classifiers is defined and integrated in the context of a multiple classifier system (MCS). Each multitemporal classifier is developed in the framewo...