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Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia

The GIS capabilities in resource management and planning promise a large scale influence on how geographic features are spatially distributed. The visualizations of the geographical features in three dimensions (3-D) form part of the result of a GIS application available for management and planning...

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Main Authors: Mohd Hasmadi,, Khairul Amirin,, Siti Noor Hidayah,
Format: Article
Language:English
Published: Faculty of Social Sciences and Humanities, UKM,Bangi 2008
Online Access:http://journalarticle.ukm.my/1608/1/Georafia_4%2C1_%2845-53%29.pdf
http://journalarticle.ukm.my/1608/
http://www.ukm.my/geografia
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spelling my-ukm.journal.16082016-12-14T06:29:55Z http://journalarticle.ukm.my/1608/ Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia Mohd Hasmadi, Khairul Amirin, Siti Noor Hidayah, The GIS capabilities in resource management and planning promise a large scale influence on how geographic features are spatially distributed. The visualizations of the geographical features in three dimensions (3-D) form part of the result of a GIS application available for management and planning purposes. This paper, however, presents a procedure and results which were obtained from the generation of a 3-D model and estimates the uncertainty of an elevation data in creating a DEM of the UPM’s (Universiti Putra Malaysia) Ayer Hitam Forest Reserve (AHFR) in Selangor, Malaysia. The forest reserve has been granted for 80 years by the Selangor government to be managed by the Faculty of Forestry, UPM since 1996, as an important ‘outdoor laboratory’ for teaching, practical research and extension activities related to forestry and other environmental programmes. The databases of AHFR developed by the Faculty were further processed in the ArcGIS 9.0 version in order to make the data format usable, and finally, a 3-D model representation of the area was generated. Based on the 20 m DEM resolution analysis, the RMSE result for uncertainty estimation was 0.33 respectively. While the final result was a 3-D model flexible enough to view and render the AHFR from any perspective including the distribution of soil series, hydrological networks, road networks, etc., it was also useful in supporting the development programme of AHFR as a research forest for UPM and the State of Selangor Faculty of Social Sciences and Humanities, UKM,Bangi 2008 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/1608/1/Georafia_4%2C1_%2845-53%29.pdf Mohd Hasmadi, and Khairul Amirin, and Siti Noor Hidayah, (2008) Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia. Geografia : Malaysian Journal of Society and Space, 4 (1). pp. 45-53. ISSN 2180-2491 http://www.ukm.my/geografia
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The GIS capabilities in resource management and planning promise a large scale influence on how geographic features are spatially distributed. The visualizations of the geographical features in three dimensions (3-D) form part of the result of a GIS application available for management and planning purposes. This paper, however, presents a procedure and results which were obtained from the generation of a 3-D model and estimates the uncertainty of an elevation data in creating a DEM of the UPM’s (Universiti Putra Malaysia) Ayer Hitam Forest Reserve (AHFR) in Selangor, Malaysia. The forest reserve has been granted for 80 years by the Selangor government to be managed by the Faculty of Forestry, UPM since 1996, as an important ‘outdoor laboratory’ for teaching, practical research and extension activities related to forestry and other environmental programmes. The databases of AHFR developed by the Faculty were further processed in the ArcGIS 9.0 version in order to make the data format usable, and finally, a 3-D model representation of the area was generated. Based on the 20 m DEM resolution analysis, the RMSE result for uncertainty estimation was 0.33 respectively. While the final result was a 3-D model flexible enough to view and render the AHFR from any perspective including the distribution of soil series, hydrological networks, road networks, etc., it was also useful in supporting the development programme of AHFR as a research forest for UPM and the State of Selangor
format Article
author Mohd Hasmadi,
Khairul Amirin,
Siti Noor Hidayah,
spellingShingle Mohd Hasmadi,
Khairul Amirin,
Siti Noor Hidayah,
Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia
author_facet Mohd Hasmadi,
Khairul Amirin,
Siti Noor Hidayah,
author_sort Mohd Hasmadi,
title Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia
title_short Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia
title_full Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia
title_fullStr Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia
title_full_unstemmed Estimated DEM uncertainty in creating a 3-D of the UPM’s Ayer Hitam forest reserve in Selangor, Malaysia
title_sort estimated dem uncertainty in creating a 3-d of the upm’s ayer hitam forest reserve in selangor, malaysia
publisher Faculty of Social Sciences and Humanities, UKM,Bangi
publishDate 2008
url http://journalarticle.ukm.my/1608/1/Georafia_4%2C1_%2845-53%29.pdf
http://journalarticle.ukm.my/1608/
http://www.ukm.my/geografia
_version_ 1643735086840938496
score 13.211869

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