1. SUNIL JACOB - Department of Chemistry, Catholicate College, Mahatma Gandhi University, Pathanamthitta, 689695,
India.
2. VENKATESAN SHIVA SHANKAR - Faculty of Environmental Science, ANCOL, Chakargaon, Port Blair-744112, Andaman and Nicobar
Islands, India.
3. SATYAKEERTHY TR - IGNOU Regional Centre, Trivandrum, Kerala - 695002, India.
4. BINOJ KK - Department of Chemistry, Catholicate College, Mahatma Gandhi University, Pathanamthitta, 689695,
India.
5. PREETHY SOOSAN THOMAS - Department of Chemistry, Catholicate College, Mahatma Gandhi University, Pathanamthitta, 689695,
India.
6. THOMAS ABRAHAM - Department of Chemistry, Catholicate College, Mahatma Gandhi University, Pathanamthitta, 689695,
India.
Conventional manual on-screen delineation of drainage network has been employed for decades which is a tedious, time-consuming, error-prone, and often highly subjective process. Hence the automated approach of determining the streams from ASTER-GDEM (Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model) data using the Hydrology tool, Arcmap software was employed. D8 (Deterministic 8-Direction) algorithm is been utilized in developing the hydrology tool. The raster model of streams derived from the DEM data was converted into a vector model. The unique streams generated from DEM data were compared with streams vectorized from the Survey of India (SOI) counterpart. The anomalous streams were validated on the ground and updated. Since some streams have been compromised for aesthetic beauty in the SOI toposheet. But that’s not the case with the streams generated from DEM data which are in great detail. It is hereby concluded that the contemporary approach to the delineation of streams is more advantageous in detail and economy of time as well.
GIS, Hydrology, ASTER- GDEM, Automated extraction, Stream Network South Andaman.