ACCURACY ASSESSMENT OF CLASSIFIED LAND USE AND LAND COVER STATUS USING ALGORITHMS EMBEDDED IN ARCGIS SOFTWARE FOR SHIMSHA CATCHMENT, KARNATAKA
Author(s):
PRAVEEN.P, M.S.AYYANAGOUDAR, B.S.POLISGOWDAR, B.MAHESHWARA BABU, RAJASHEKHAR, M, S.S.Prakash
Keywords:
runoff, remote sensing, classification, accuracy and confusion matrix
Abstract
Surface runoff dynamics and volume of water stored in water bodies depend on terrain characteristics of catchment, climate parameters such as precipitation and temperature, besides land use and land cover of the catchment. Images obtained from remote sensing techniques were used to classify the land cover of various classes based on spectral characteristics of the pixel and same will be interpreted and recorded in the attribute table of shape file generated using ArcGIS software. Generated data with visual interpretation observed with error and hence assessment of accuracy for classifying image is required to enhance the quality of work carried and classification was compared by using ground control points which was obtained by physical verification in catchment area and interpreted the results for further studies. User and producer column data were used to create confusion matrix to study the difference between referenced data and classified data. The results from accuracy assessment showed using confusion matrix shows an overall accuracy obtained from the random sampling process for the image of 85.7 per cent. User’s accuracy ranged from 62 to 100 per cent while producer’s accuracy ranged from 25 to 100 per cent with kappa’s coefficient of 0.80.
Article Details
Unique Paper ID: 156971

Publication Volume & Issue: Volume 9, Issue 5

Page(s): 477 - 481
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