Land use/land cover classification and change analysis by multitemporal remote sensing data

Kuantan is a one largest district in Pahang. Kuantan have rapid development in every aspect. By using Multi-temporal satellite images and application of remote sensing and GIS for land use and land cover change detection were used. The main challenge in land use and land cover changes using the remo...

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Main Author: Nor Ashifah, Hamzah
Format: Undergraduates Project Papers
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/12142/1/FSKKP%20-%20NOR%20ASHIFAH%20HAMZAH%20%28CD9161%29.pdf
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author Nor Ashifah, Hamzah
author_facet Nor Ashifah, Hamzah
author_sort Nor Ashifah, Hamzah
collection UMP
description Kuantan is a one largest district in Pahang. Kuantan have rapid development in every aspect. By using Multi-temporal satellite images and application of remote sensing and GIS for land use and land cover change detection were used. The main challenge in land use and land cover changes using the remote sensing data which how to provide the accurate and timely geospatial information. The production of thematic map from this classification by using an image classification is one of the most common way application of remote sensing. This research briefly reviews the background, methods of accuracy assessment that commonly used and recommended in the research literature.This research also for to access the accuracy of multi-temporal classification and change detection. Process that involve in this research are selection data satellite, data correction, classification process, accuracy assessmen
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spelling UMPir121422022-01-20T02:24:00Z http://umpir.ump.edu.my/id/eprint/12142/ Land use/land cover classification and change analysis by multitemporal remote sensing data Nor Ashifah, Hamzah QA75 Electronic computers. Computer science Kuantan is a one largest district in Pahang. Kuantan have rapid development in every aspect. By using Multi-temporal satellite images and application of remote sensing and GIS for land use and land cover change detection were used. The main challenge in land use and land cover changes using the remote sensing data which how to provide the accurate and timely geospatial information. The production of thematic map from this classification by using an image classification is one of the most common way application of remote sensing. This research briefly reviews the background, methods of accuracy assessment that commonly used and recommended in the research literature.This research also for to access the accuracy of multi-temporal classification and change detection. Process that involve in this research are selection data satellite, data correction, classification process, accuracy assessmen 2015 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/12142/1/FSKKP%20-%20NOR%20ASHIFAH%20HAMZAH%20%28CD9161%29.pdf Nor Ashifah, Hamzah (2015) Land use/land cover classification and change analysis by multitemporal remote sensing data. Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang.
spellingShingle QA75 Electronic computers. Computer science
Nor Ashifah, Hamzah
Land use/land cover classification and change analysis by multitemporal remote sensing data
title Land use/land cover classification and change analysis by multitemporal remote sensing data
title_full Land use/land cover classification and change analysis by multitemporal remote sensing data
title_fullStr Land use/land cover classification and change analysis by multitemporal remote sensing data
title_full_unstemmed Land use/land cover classification and change analysis by multitemporal remote sensing data
title_short Land use/land cover classification and change analysis by multitemporal remote sensing data
title_sort land use land cover classification and change analysis by multitemporal remote sensing data
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/12142/1/FSKKP%20-%20NOR%20ASHIFAH%20HAMZAH%20%28CD9161%29.pdf
work_keys_str_mv AT norashifahhamzah landuselandcoverclassificationandchangeanalysisbymultitemporalremotesensingdata