International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:7, July, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(7): 205-216

Accuracy Assessment of Supervised and Unsupervised Classification using Landsat-8 Imagery of D-7 Shahapur Branch Canal of UKP Command Area Karnataka
Ayyanna1, B.S. Polisgowdar2, M.S. Ayyanagowdar2, Anilkumar T. Dandekar3, G.S. Yadahalli4 and M.A. Bellakki5
1Agri. Engg, Department of SWE UAS, Raichur, India
2Department of IDE
3Department of SWE, CAE, UAS, Raichur, India
4Department of Agronomy, AC, Raichur, India
5Department of Soil Science and Agricultural Chemistry, AC, Kalaburgi, India Department of Soil and Water Conservation Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur - 584 104, India
*Corresponding author

An investigation was conducted from November 2015 to May 2017 at Shahapur and Shorapur taluk, Yadgir district, to accuracy assessment of supervised and unsupervised classification for land use land cover using Landsat-8 imagery of D-7 Shahapur branch canal of UKP command area, Karnataka. Accuracy assessment of supervised land classification for post and pre-monsoon was carried out for the study period and the values are presented in Table 5 to 8. The technique used for this was called error of confusion matrix. The overall accuracy for both post and pre-monsoon ranged from 86.66 per cent to 92 per cent and Kappa co-efficient ranged from 0.81 to 0.89. The range value of classification was due to intermixing of some classes Megersa (2012), that any accuracy assessment value more than 75 per cent will be considered acceptable Giles (2008). Similarly for kappa co-efficient more than 0.80 indicate moderate and less than 0.40 indicate poor classification. Kappa co-efficient for this study were within the range expressed as good classification, hence classification yielded good results and comparable to other studies.

Keywords: Landsat-8, Unsupervised and Supervised classification, Command area

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How to cite this article:

Ayyanna, B.S. Polisgowdar, M.S. Ayyanagowdar, Anilkumar. T. Dandekar, G.S. Yadahalli and Bellakki, M.A. 2018. Accuracy Assessment of Supervised and Unsupervised Classification using Landsat-8 Imagery of D-7 Shahapur Branch Canal of UKP Command Area Karnataka.Int.J.Curr.Microbiol.App.Sci. 7(7): 205-216. doi:
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