Abstract Remote sensing (RS) applications have become an important tool for the rapid evaluation of water resources. This paper deals with the utilization of RS data as the main input in an integrated approach for groundwater targeting. The Mulug Taluk, with an areal extent of 3200 km, is one of the poor taluks in the Warangal District, Andhra Pradesh, India. A hydrogeomorphological study based...

the main issues about relation between climate and relief in the romanian geomorphological literature follow three directions of research: the description of pleistocene glacial and pleistocene-holocene periglacial landforms in the carpathians; the direct analysis of climate?s role in landform development; the integration of separate works and findings in a synthetic morphodynamic system applic...

The remotely sensed data provides synoptic viewing and repetitive coverage for thematic mapping of natural resources. In the present study hydrogeomorphological mapping has been carried out in Ottanchattiram Block, Dindugal District, Tamil Nadu for delineating groundwater potential zones. Landsat ETM+ Geocoded FCC data in conjunction with Survey of India toposheet (1:50000 scale) were used for ...

Aeromagnetic data and Landsat image, were assessed to establish a relationship between morphostructural feature borehole yield of sub-basin Osun basin in the Northern part Ilesha, southwestern Nigeria. Four factors (Geomorphological unit, Slope, regional structure, lineament) considered. Geomorphological units classified based on digital elevation model (DEM), Lineaments identified extracted us...

The main issues about relation between climate and relief in the Romanian geomorphological literature follow three directions of research: the description of Pleistocene glacial and Pleistocene-Holocene periglacial landforms in the Carpathians; the direct analysis of climate?s role in landform development; the integration of separate works and findings in a synthetic morphodynamic system applic...

The classification of land cover is one of the major applications of remotely sensed data. However, the distinction of different classes is often challenging because of spectral similarities. Numerous studies are published describing advanced methods for separation of spectral similar land-cover classes from the remote sensed images. But there are still limitations in terms of classification ac...