3D Landscape Recording and Modeling of Individual Trees

The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to m...
Ausführliche Beschreibung

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Autor*in:	Shafarina Wahyu Trisyanti [verfasserIn] Deni Suwardhi [verfasserIn] Agung Budi Harto [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Indonesisch

Erschienen:	2019

Schlagwörter:	classification DSM 3D model nDSM orthophoto segmentation

Übergeordnetes Werk:	In: Hayati Journal of Biosciences - Bogor Agricultural University, 2010, 26(2019), 4
Übergeordnetes Werk:	volume:26 ; year:2019 ; number:4

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4308/hjb.26.4.%x

Katalog-ID:	DOAJ062054902

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spelling	10.4308/hjb.26.4.%x doi (DE-627)DOAJ062054902 (DE-599)DOAJ94c85d10f17a4104904db4fc33389138 DE-627 ger DE-627 rakwb eng ind QH301-705.5 Shafarina Wahyu Trisyanti verfasserin aut 3D Landscape Recording and Modeling of Individual Trees 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model. classification DSM 3D model nDSM orthophoto segmentation Biology (General) Deni Suwardhi verfasserin aut Agung Budi Harto verfasserin aut In Hayati Journal of Biosciences Bogor Agricultural University, 2010 26(2019), 4 (DE-627)665320434 (DE-600)2621600-0 20864094 nnns volume:26 year:2019 number:4 https://doi.org/10.4308/hjb.26.4.%x kostenfrei https://doaj.org/article/94c85d10f17a4104904db4fc33389138 kostenfrei https://journal.ipb.ac.id/index.php/hayati/article/view/28884 kostenfrei https://doaj.org/toc/1978-3019 Journal toc kostenfrei https://doaj.org/toc/2086-4094 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2019 4
allfields_unstemmed	10.4308/hjb.26.4.%x doi (DE-627)DOAJ062054902 (DE-599)DOAJ94c85d10f17a4104904db4fc33389138 DE-627 ger DE-627 rakwb eng ind QH301-705.5 Shafarina Wahyu Trisyanti verfasserin aut 3D Landscape Recording and Modeling of Individual Trees 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model. classification DSM 3D model nDSM orthophoto segmentation Biology (General) Deni Suwardhi verfasserin aut Agung Budi Harto verfasserin aut In Hayati Journal of Biosciences Bogor Agricultural University, 2010 26(2019), 4 (DE-627)665320434 (DE-600)2621600-0 20864094 nnns volume:26 year:2019 number:4 https://doi.org/10.4308/hjb.26.4.%x kostenfrei https://doaj.org/article/94c85d10f17a4104904db4fc33389138 kostenfrei https://journal.ipb.ac.id/index.php/hayati/article/view/28884 kostenfrei https://doaj.org/toc/1978-3019 Journal toc kostenfrei https://doaj.org/toc/2086-4094 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2019 4
allfieldsGer	10.4308/hjb.26.4.%x doi (DE-627)DOAJ062054902 (DE-599)DOAJ94c85d10f17a4104904db4fc33389138 DE-627 ger DE-627 rakwb eng ind QH301-705.5 Shafarina Wahyu Trisyanti verfasserin aut 3D Landscape Recording and Modeling of Individual Trees 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model. classification DSM 3D model nDSM orthophoto segmentation Biology (General) Deni Suwardhi verfasserin aut Agung Budi Harto verfasserin aut In Hayati Journal of Biosciences Bogor Agricultural University, 2010 26(2019), 4 (DE-627)665320434 (DE-600)2621600-0 20864094 nnns volume:26 year:2019 number:4 https://doi.org/10.4308/hjb.26.4.%x kostenfrei https://doaj.org/article/94c85d10f17a4104904db4fc33389138 kostenfrei https://journal.ipb.ac.id/index.php/hayati/article/view/28884 kostenfrei https://doaj.org/toc/1978-3019 Journal toc kostenfrei https://doaj.org/toc/2086-4094 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2019 4
allfieldsSound	10.4308/hjb.26.4.%x doi (DE-627)DOAJ062054902 (DE-599)DOAJ94c85d10f17a4104904db4fc33389138 DE-627 ger DE-627 rakwb eng ind QH301-705.5 Shafarina Wahyu Trisyanti verfasserin aut 3D Landscape Recording and Modeling of Individual Trees 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model. classification DSM 3D model nDSM orthophoto segmentation Biology (General) Deni Suwardhi verfasserin aut Agung Budi Harto verfasserin aut In Hayati Journal of Biosciences Bogor Agricultural University, 2010 26(2019), 4 (DE-627)665320434 (DE-600)2621600-0 20864094 nnns volume:26 year:2019 number:4 https://doi.org/10.4308/hjb.26.4.%x kostenfrei https://doaj.org/article/94c85d10f17a4104904db4fc33389138 kostenfrei https://journal.ipb.ac.id/index.php/hayati/article/view/28884 kostenfrei https://doaj.org/toc/1978-3019 Journal toc kostenfrei https://doaj.org/toc/2086-4094 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2019 4
language	English Indonesian
source	In Hayati Journal of Biosciences 26(2019), 4 volume:26 year:2019 number:4
sourceStr	In Hayati Journal of Biosciences 26(2019), 4 volume:26 year:2019 number:4
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institution	findex.gbv.de
topic_facet	classification DSM 3D model nDSM orthophoto segmentation Biology (General)
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container_title	Hayati Journal of Biosciences
authorswithroles_txt_mv	Shafarina Wahyu Trisyanti @@aut@@ Deni Suwardhi @@aut@@ Agung Budi Harto @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
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callnumber-first	Q - Science
author	Shafarina Wahyu Trisyanti
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title	3D Landscape Recording and Modeling of Individual Trees
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title_full	3D Landscape Recording and Modeling of Individual Trees
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title_auth	3D Landscape Recording and Modeling of Individual Trees
abstract	The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model.
abstractGer	The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model.
abstract_unstemmed	The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model.
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title_short	3D Landscape Recording and Modeling of Individual Trees
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