Updation of Cadastral Maps Using High Resolution Remotely Sensed Data
V. V.Govind Kumar1, K. Venkata Reddy2, Deva Pratap3
1V. V. Govind Kumar, Research Scholar, Department of Civil Engg, IIT Roorkee, India.
2K. Venkata Reddy, Assistant Professor, Department of Civil Engg, NIT Warangal, (A.P)., India.
3Deva Pratap, Assocaite Professor, Department of Civil Engg, NIT Warangal, (A.P)., India.
Manuscript received on March 02, 2013. | Revised Manuscript received on April 18, 2013. | Manuscript published on April 30, 2013. | PP: 50-54 | Volume-2, Issue-4, April 2013. | Retrieval Number:D1275042413/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A cadastral map shows the boundaries of all land parcels on large scale maps together with the village registers which contains the ownership, land use andarea details. Updating the cadastral information is very essential so that transformations/changes of ownership of parcels etc. can be recorded in an orderly manner for documentation and further use. Presently, the cadastral maps are being updated with high resolution remotely sensed imageries using Geographical Information Systems (GIS) and Global Positioning System (GPS).Present paper discusses the updation of the geospatial information and quantification of the accuracy of the geo-referenced cadastral map of Venkatapuram village of Thorrour mandal, Warangal District, Andhra Pradesh, India. After mosaicing the Google Earth downloaded imageries of the study area, rectification of has been carried out using SOI toposheets. Vectorised cadastral map is prepared in the GIS environment using the scanned cadastral map of the study area and registered using Ground Control Points (GCPs) collected from GPS instrument. The features of cadastral map are updated by superimposing the vectorised cadastral map on the rectified imagery of the study area. The accuracy assessment of the vectorised cadastral map has been carried out. From the observation of mean percentage deviation, standard percentage deviation and parcel area deviation, it is seen that large area parcels have more accurate and less distortion than small area parcels. The methodology presented in this paper is useful to update the cadastral maps with low to medium accuracy.
Keywords: GIS, GPS, Google Earth High Resolution Imageries, Cadastral Map Updation.