GENERATION OF THEMATIC LAYERS IN MOTHKURI WATERSHED USING IN GEO-SPATIAL TECHNIQUES NALGONDA DISTRICT TELENGANA STATE

Dr. U. Sudhakar, K. Alivelamma

Abstract


A Geographic Information System (GIS Software) is designed to store, retrieve, manage, display, and analyze all types of
geographic and spatial data. GIS software lets you produce maps and other graphic displays of geographic information
for analysis and presentation. Once all of the desired data have been entered into a GIS system, they can be combined to produce a wide variety of
individual maps, depending on which data layers are included. One of the most common uses of GIS technology involves comparing natural
features with human activity. GIS maps can be used to show information about numbers and density. For example, GIS can show how many
doctors there are in a neighborhood compared with the area's population. GIS technology makes updating maps much easier than updating maps
created manually. Updated data can simply be added to the existing GIS program. A new map can then be printed or displayed on screen. This
skips the traditional process of drawing a map, which can be time-consuming and expensive. A working GIS integrates five key components:
hardware, software, data, people, and methods. The mothkuri watershed different thematic maps generated in Arc GIS namely, land use/land
cover, Geomorphology, Settlement, Geology, Transportation, Drainage, Surface Water bodies, Action plan maps are generated from satellite
digital hardcopy. The standard basic elements and key elements for visual interpretation are applied on this satellite hardcopy digital image so as
to extract the entropy or information extent in accordance with the above thematic maps. At the end of the interpretation process the above
thematic maps in the form of paper based maps are ready for subsequent scanning and automated digitization and then created a digital database
for GIS data analysis and modelling.


Keywords


Remote sensing, GIS, Thematic layers, Watershed, Spatial data, Attribute data

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References


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