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Land Cover Mapping in Jeli Using Selected Classification Algorithms

Land cover describes the landscape of Earth surface include either series types of vegetation,naturally or planted,or even man-made constructions on land surface.Land cover whether like urban,bare soil, vegetation, water, or others is necessarily to be described on it presence. f o determine the exi...

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Main Author: Syaza Sholimin
Format: Undergraduate Final Project Report
Published: 2013
Online Access:http://discol.umk.edu.my/id/eprint/6061/
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spelling my.umk.eprints.60612022-05-23T08:44:50Z http://discol.umk.edu.my/id/eprint/6061/ Land Cover Mapping in Jeli Using Selected Classification Algorithms Syaza Sholimin Land cover describes the landscape of Earth surface include either series types of vegetation,naturally or planted,or even man-made constructions on land surface.Land cover whether like urban,bare soil, vegetation, water, or others is necessarily to be described on it presence. f o determine the existence of land cover at area,integration remote sensing and Geographical Information System (GIS) could he used- though the fact that Jeli land cover might filled with forest,but still there are lots more different 13„c, of land cover which covered the land surface of Jell. In order to get better understanding in terms of which algorithms best used in land cover mapping, this re.;car•h \\a, conducted with the useful help of remote sensing technology. This research satellite imagery of Landsat 5 Thematic Mapper (TM) for 1010 to map land cover type's present within Jell. Selected classification algorithms are employed to run the classification process and hereby class all the possible land cover types within Jell. This research focused on comparing which are the best selected classification algorithms in producing land cover map with reference to the confusion matrix and kappa statistic. The best classification algorithm found and appointed in this research is Maximum Likelihood Classification (MLC). MLC recorded the highest result for overall accuracy and kappa statistic compared to other two techniques which were 89.6987% for its accuracy and 0.8775 for kappa statistic. Besides, this technique is best determined and identified to give precise picture of land cover within Jeli as being compared with the Kelantan Land Cover Topograhic Map of 2008. As a conclusion. the best selected algorithm for land cover map can be determined and the use of remote sensing technology for land cover map is able to efficiently be generated. 2013 Undergraduate Final Project Report NonPeerReviewed Syaza Sholimin (2013) Land Cover Mapping in Jeli Using Selected Classification Algorithms. Undergraduate Final Project Report thesis, Faculty of Earth Sciences. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
description Land cover describes the landscape of Earth surface include either series types of vegetation,naturally or planted,or even man-made constructions on land surface.Land cover whether like urban,bare soil, vegetation, water, or others is necessarily to be described on it presence. f o determine the existence of land cover at area,integration remote sensing and Geographical Information System (GIS) could he used- though the fact that Jeli land cover might filled with forest,but still there are lots more different 13„c, of land cover which covered the land surface of Jell. In order to get better understanding in terms of which algorithms best used in land cover mapping, this re.;car•h \\a, conducted with the useful help of remote sensing technology. This research satellite imagery of Landsat 5 Thematic Mapper (TM) for 1010 to map land cover type's present within Jell. Selected classification algorithms are employed to run the classification process and hereby class all the possible land cover types within Jell. This research focused on comparing which are the best selected classification algorithms in producing land cover map with reference to the confusion matrix and kappa statistic. The best classification algorithm found and appointed in this research is Maximum Likelihood Classification (MLC). MLC recorded the highest result for overall accuracy and kappa statistic compared to other two techniques which were 89.6987% for its accuracy and 0.8775 for kappa statistic. Besides, this technique is best determined and identified to give precise picture of land cover within Jeli as being compared with the Kelantan Land Cover Topograhic Map of 2008. As a conclusion. the best selected algorithm for land cover map can be determined and the use of remote sensing technology for land cover map is able to efficiently be generated.
format Undergraduate Final Project Report
author Syaza Sholimin
spellingShingle Syaza Sholimin
Land Cover Mapping in Jeli Using Selected Classification Algorithms
author_facet Syaza Sholimin
author_sort Syaza Sholimin
title Land Cover Mapping in Jeli Using Selected Classification Algorithms
title_short Land Cover Mapping in Jeli Using Selected Classification Algorithms
title_full Land Cover Mapping in Jeli Using Selected Classification Algorithms
title_fullStr Land Cover Mapping in Jeli Using Selected Classification Algorithms
title_full_unstemmed Land Cover Mapping in Jeli Using Selected Classification Algorithms
title_sort land cover mapping in jeli using selected classification algorithms
publishDate 2013
url http://discol.umk.edu.my/id/eprint/6061/
_version_ 1763303642652213248
score 13.211869

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