American Journal of Environmental Protection

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Accuracy Assessment of Land Use Land Cover Classification using Google Earth

Received: 16 June 2015    Accepted: 01 July 2015    Published: 25 July 2015
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Abstract

This study examines the accuracy assessment of land use land cover classification using Google Earth in the case of Kilite Awulalo, Tigray State, Ethiopia for the year 2014. For this study, Landsat-8 OLI_TIRS image of 2014 was used and analyzed using Arc GIS 10.1. Supervised classification scheme was used to classify the images. Under land use and land cover categories Agriculture land, Settlement land, Grazing land, Forest land, Bush land, Water bodies and Bare/stony land were studied. After classification of land use land cover types, 100 Random Points were generated in Arc GIS and converting random points to KML in order to open in Google Earth. Each random point’s value verified from Google Earth for accuracy assessment. Google Earth model was used to measure of how many ground truth pixels are correctly classified. For this study, Free Google Earth which was Build in Date 10/7/2013 was used. The result shows that total (overall) accuracy of land use and land cover for 2014 is 82.00% and Kappa (K) is 77.02% which is acceptable in both accuracy total (overall) and Kappa accuracy.

DOI 10.11648/j.ajep.20150404.14
Published in American Journal of Environmental Protection (Volume 4, Issue 4, August 2015)
Page(s) 193-198
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Accuracy Assessment, Google Earth, Kappa, Land Use Land Cover

References
[1] Abineh Tilahun and I. Zubairul .2015. Use of Google Earth for Land Use mapping in the Case of Gish Abbay Sekela, West Gojjam, Amhara State, Ethiopia. International Journal of Society and Humanities (ISSN-2319-2070/VOL 6:1-6.
[2] Abubaker, H. M, Elhag A.M.H. and Salih, A.M. (2013). Accuracy Assessment of Land Use and Land Cover Classification (LU/LC) Case study of Shomadi area-Renk County-Upper Nile State, South Sudan. International Journal of Scientific and Research Publications, Volume 3, Issue 5.
[3] Canute Hyandye, Christina Geoffrey Mandara, John Safari. GIS and Logit Regression Model Applications in Land Use/Land Cover Change and Distribution in Usangu Catchment. American Journal of Remote Sensing.Vol. 3, No. 1, 2015, pp. 6-16. doi: 10.11648/j.ajrs.20150301.12.
[4] Congalton, R. G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35-46.
[5] Dash, P. (2005). Land Surface Temperature and Emissivity Retrieval from Satellite Measurements, Institut fur Meteorologie und Klimaforshung.
[6] David, P. (2008). Horizontal Positional Accuracy of Google Earth’s High Resolution Imagery Archive. Sensors 2008, 8, 7973-7981; DOI: 10.3390/s8127973.
[7] Fakeye, Attah Motunrayo, Aitsebaomo, Francis Omokekhai, Osadebe, Charles Chuka, Lamidi, Risikat Bukola, Okonufua, Endurance Omamoke. Digital Modeling of Land Use Changes in Some Parts of Eastern Nigeria. American Journal of Remote Sensing. Vol. 3, No. 3, 2015, pp. 37-42. doi: 10.11648/j.ajrs.20150303.11
[8] Jensen, J. R. 1996. Introductory Digital Image Processing: A Remote Sensing Perspective (Second edition). Prentice Hall, Inc., Upper Saddle River, New Jersey, USA.
[9] Nagi, Z. M, Ahmed G. and Hussam E. (2013). Positional Accuracy Testing of Google Earth. International Journal Of Multidisciplinary Sciences And Engineering, VOL. 4, NO. 6, JULY 2013.
[10] Roy, P.S. and Giriraj, A. 2008. Land Use and Land Cover Analysis in Indian Context. Journal of applied science, Vol. 8(8): 1346-1353.
[11] Shirkou, J. and Aliakbar, N. (2013). Comparison between Land Use/Land Cover Mapping Through Landsat and Google Earth Imagery. American-Eurasian J. Agric. & Environ. Sci., 13 (6): 763-768.
[12] Yadav, P., Kapoor, M. and Sarma, K. 2010. Land Use Land Cover Mapping, Change detection and conflict Analysis of Nagzira-Navegaon Corridor, Central India Using Geospatial Technology. International Journal of Remote Sensing and GIS, Vol. 1(2): 90-98.
Author Information
  • Department of Geography and Environmental Studies, Adigrat University, Adigrat, Ethiopia

  • Department of Geography and Environmental Studies, Dilla University, Adigrat, Ethiopia

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  • APA Style

    Abineh Tilahun, Bogale Teferie. (2015). Accuracy Assessment of Land Use Land Cover Classification using Google Earth. American Journal of Environmental Protection, 4(4), 193-198. https://doi.org/10.11648/j.ajep.20150404.14

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    ACS Style

    Abineh Tilahun; Bogale Teferie. Accuracy Assessment of Land Use Land Cover Classification using Google Earth. Am. J. Environ. Prot. 2015, 4(4), 193-198. doi: 10.11648/j.ajep.20150404.14

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    AMA Style

    Abineh Tilahun, Bogale Teferie. Accuracy Assessment of Land Use Land Cover Classification using Google Earth. Am J Environ Prot. 2015;4(4):193-198. doi: 10.11648/j.ajep.20150404.14

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  • @article{10.11648/j.ajep.20150404.14,
      author = {Abineh Tilahun and Bogale Teferie},
      title = {Accuracy Assessment of Land Use Land Cover Classification using Google Earth},
      journal = {American Journal of Environmental Protection},
      volume = {4},
      number = {4},
      pages = {193-198},
      doi = {10.11648/j.ajep.20150404.14},
      url = {https://doi.org/10.11648/j.ajep.20150404.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajep.20150404.14},
      abstract = {This study examines the accuracy assessment of land use land cover classification using Google Earth in the case of Kilite Awulalo, Tigray State, Ethiopia for the year 2014. For this study, Landsat-8 OLI_TIRS image of 2014 was used and analyzed using Arc GIS 10.1. Supervised classification scheme was used to classify the images. Under land use and land cover categories Agriculture land, Settlement land, Grazing land, Forest land, Bush land, Water bodies and Bare/stony land were studied. After classification of land use land cover types, 100 Random Points were generated in Arc GIS and converting random points to KML in order to open in Google Earth. Each random point’s value verified from Google Earth for accuracy assessment. Google Earth model was used to measure of how many ground truth pixels are correctly classified. For this study, Free Google Earth which was Build in Date 10/7/2013 was used. The result shows that total (overall) accuracy of land use and land cover for 2014 is 82.00% and Kappa (K) is 77.02% which is acceptable in both accuracy total (overall) and Kappa accuracy.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Accuracy Assessment of Land Use Land Cover Classification using Google Earth
    AU  - Abineh Tilahun
    AU  - Bogale Teferie
    Y1  - 2015/07/25
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajep.20150404.14
    DO  - 10.11648/j.ajep.20150404.14
    T2  - American Journal of Environmental Protection
    JF  - American Journal of Environmental Protection
    JO  - American Journal of Environmental Protection
    SP  - 193
    EP  - 198
    PB  - Science Publishing Group
    SN  - 2328-5699
    UR  - https://doi.org/10.11648/j.ajep.20150404.14
    AB  - This study examines the accuracy assessment of land use land cover classification using Google Earth in the case of Kilite Awulalo, Tigray State, Ethiopia for the year 2014. For this study, Landsat-8 OLI_TIRS image of 2014 was used and analyzed using Arc GIS 10.1. Supervised classification scheme was used to classify the images. Under land use and land cover categories Agriculture land, Settlement land, Grazing land, Forest land, Bush land, Water bodies and Bare/stony land were studied. After classification of land use land cover types, 100 Random Points were generated in Arc GIS and converting random points to KML in order to open in Google Earth. Each random point’s value verified from Google Earth for accuracy assessment. Google Earth model was used to measure of how many ground truth pixels are correctly classified. For this study, Free Google Earth which was Build in Date 10/7/2013 was used. The result shows that total (overall) accuracy of land use and land cover for 2014 is 82.00% and Kappa (K) is 77.02% which is acceptable in both accuracy total (overall) and Kappa accuracy.
    VL  - 4
    IS  - 4
    ER  - 

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