Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa

The lack of research study done within Universiti Teknologi Mara (UiTM) Perlis Branch especially regarding to the trees distribution caused the advent of this research to be carried out. This research aims to study the distribution of trees by identifying trees species, and examine the applicability...

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Main Author:	Musa, Nurul Hidayatul Fatini
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Aerial geography Geographic information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/36920/1/36920.pdf
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id	my-uitm-ir.36920
record_format	uketd_dc
spelling	my-uitm-ir.369202020-11-19T02:41:03Z Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa 2020-11-16 Musa, Nurul Hidayatul Fatini Aerial geography Geographic information systems The lack of research study done within Universiti Teknologi Mara (UiTM) Perlis Branch especially regarding to the trees distribution caused the advent of this research to be carried out. This research aims to study the distribution of trees by identifying trees species, and examine the applicability of Landsat 8 satellite imagery data in monitoring the trees distribution at UiTM Perlis. It specifically focuses the sampling data collection at Hutan Semarak and Tasik Ilham. The methods involve are optimum index factor (OIF), normalized difference vegetation index (NVDI), classification and accuracy assessment to validate the data. All the method has been processes by using ArcGIS and ERDAS Imagine software. The distribution pattern of each trees species was random distribution. The selected species of trees that have been identified within UiTM Perlis including Hevea sp., Microcos sp., Cerbera sp., Diptrocarpus sp., Pterocarpus sp., Polyalthia sp., Cassia sp., Cocos sp., Roystonea sp., Peltophorum sp., and Casuarina sp., and other land cover classes including building, court, field, lake, parking and road. The best band combination is (2-5-7) with the highest value of OIF is 112312.709 and the lowest value of OIF value is (2-3-4) at 814.258. NDVI red with range of 0.010 – 0.503 is more sensitive towards trees compared to green NDVI with range of 0.015 – 0.444. The Minimum Distance Classifier has produced the highest value of overall accuracy assessment and overall kappa statistics which is 73.33% and 0.7030. Compared to the Spectral Correlation Mapper Classifier recorded value the lowest value of overall accuracy assessment and overall kappa statistics which is 70.00% and 0.6674. From the overall result, Landsat 8 has potential in mapping trees distribution within the study area. 2020-11 Thesis https://ir.uitm.edu.my/id/eprint/36920/ https://ir.uitm.edu.my/id/eprint/36920/1/36920.pdf text en public degree Universiti Teknologi Mara Perlis Faculty Of Applied Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Geographic information systems
spellingShingle	Aerial geography Geographic information systems Musa, Nurul Hidayatul Fatini Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa
description	The lack of research study done within Universiti Teknologi Mara (UiTM) Perlis Branch especially regarding to the trees distribution caused the advent of this research to be carried out. This research aims to study the distribution of trees by identifying trees species, and examine the applicability of Landsat 8 satellite imagery data in monitoring the trees distribution at UiTM Perlis. It specifically focuses the sampling data collection at Hutan Semarak and Tasik Ilham. The methods involve are optimum index factor (OIF), normalized difference vegetation index (NVDI), classification and accuracy assessment to validate the data. All the method has been processes by using ArcGIS and ERDAS Imagine software. The distribution pattern of each trees species was random distribution. The selected species of trees that have been identified within UiTM Perlis including Hevea sp., Microcos sp., Cerbera sp., Diptrocarpus sp., Pterocarpus sp., Polyalthia sp., Cassia sp., Cocos sp., Roystonea sp., Peltophorum sp., and Casuarina sp., and other land cover classes including building, court, field, lake, parking and road. The best band combination is (2-5-7) with the highest value of OIF is 112312.709 and the lowest value of OIF value is (2-3-4) at 814.258. NDVI red with range of 0.010 – 0.503 is more sensitive towards trees compared to green NDVI with range of 0.015 – 0.444. The Minimum Distance Classifier has produced the highest value of overall accuracy assessment and overall kappa statistics which is 73.33% and 0.7030. Compared to the Spectral Correlation Mapper Classifier recorded value the lowest value of overall accuracy assessment and overall kappa statistics which is 70.00% and 0.6674. From the overall result, Landsat 8 has potential in mapping trees distribution within the study area.
format	Thesis
qualification_level	Bachelor degree
author	Musa, Nurul Hidayatul Fatini
author_facet	Musa, Nurul Hidayatul Fatini
author_sort	Musa, Nurul Hidayatul Fatini
title	Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa
title_short	Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa
title_full	Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa
title_fullStr	Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa
title_full_unstemmed	Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa
title_sort	application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at uitm perlis / nurul hidayatul fatini musa
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty Of Applied Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/36920/1/36920.pdf
_version_	1783734374820216832

Application of landsat 8 satellite imagery data for mapping vegetation and land cover classes – a case study at UiTM Perlis / Nurul Hidayatul Fatini Musa

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