The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique

The growth of residential and commercial areas threatens vegetation and ecosystems. Thus, an urgent urban management issue involves determining the state and the quantity of urban tree species to protect the environment, as well as controlling their growth and decline. This study focused on the dete...

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Main Authors:	Razieh Shojanoori, Helmi Z.M. Shafri, Shattri Mansor, Mohd Hasmadi Ismail
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2016
Online Access:	http://journalarticle.ukm.my/9974/ http://journalarticle.ukm.my/9974/ http://journalarticle.ukm.my/9974/1/03%20Razieh%20Shojanoori.pdf

id	ukm-9974
recordtype	eprints
spelling	ukm-99742017-01-19T09:14:06Z http://journalarticle.ukm.my/9974/ The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique Razieh Shojanoori, Helmi Z.M. Shafri, Shattri Mansor, Mohd Hasmadi Ismail, The growth of residential and commercial areas threatens vegetation and ecosystems. Thus, an urgent urban management issue involves determining the state and the quantity of urban tree species to protect the environment, as well as controlling their growth and decline. This study focused on the detection of urban tree species by considering three types of tree species, namely, Mesua ferrea L., Samanea saman, and Casuarina sumatrana. New rule sets were developed to detect these three species. In this regard, two pixel-based classification methods were applied and compared; namely, the method of maximum likelihood classification and support vector machines. These methods were then compared with object-based image analysis (OBIA) classification. OBIA was used to develop rule sets by extracting spatial, spectral, textural and color attributes, among others. Finally, the new rule sets were implemented into WorldView-2 imagery. The results indicated that the OBIA based on the rule sets displayed a significant potential to detect different tree species with high accuracy. Penerbit Universiti Kebangsaan Malaysia 2016-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/9974/1/03%20Razieh%20Shojanoori.pdf Razieh Shojanoori, and Helmi Z.M. Shafri, and Shattri Mansor, and Mohd Hasmadi Ismail, (2016) The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique. Sains Malaysiana, 45 (7). pp. 1025-1034. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol45num7_2016/contentsVol45num7_2016.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	The growth of residential and commercial areas threatens vegetation and ecosystems. Thus, an urgent urban management issue involves determining the state and the quantity of urban tree species to protect the environment, as well as controlling their growth and decline. This study focused on the detection of urban tree species by considering three types of tree species, namely, Mesua ferrea L., Samanea saman, and Casuarina sumatrana. New rule sets were developed to detect these three species. In this regard, two pixel-based classification methods were applied and compared; namely, the method of maximum likelihood classification and support vector machines. These methods were then compared with object-based image analysis (OBIA) classification. OBIA was used to develop rule sets by extracting spatial, spectral, textural and color attributes, among others. Finally, the new rule sets were implemented into WorldView-2 imagery. The results indicated that the OBIA based on the rule sets displayed a significant potential to detect different tree species with high accuracy.
format	Article
author	Razieh Shojanoori, Helmi Z.M. Shafri, Shattri Mansor, Mohd Hasmadi Ismail,
spellingShingle	Razieh Shojanoori, Helmi Z.M. Shafri, Shattri Mansor, Mohd Hasmadi Ismail, The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique
author_facet	Razieh Shojanoori, Helmi Z.M. Shafri, Shattri Mansor, Mohd Hasmadi Ismail,
author_sort	Razieh Shojanoori,
title	The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique
title_short	The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique
title_full	The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique
title_fullStr	The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique
title_full_unstemmed	The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique
title_sort	use of worldview-2 satellite data in urban tree species mapping by object-based image analysis technique
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2016
url	http://journalarticle.ukm.my/9974/ http://journalarticle.ukm.my/9974/ http://journalarticle.ukm.my/9974/1/03%20Razieh%20Shojanoori.pdf
first_indexed	2023-09-18T19:56:16Z
last_indexed	2023-09-18T19:56:16Z
_version_	1777406549763817472

The use of WorldView-2 satellite data in urban tree species mapping by object-based image analysis technique

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