Suwardhi, Deni
Center For Remote Sensing, Institut Teknologi Bandung, Bandung

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PETA TIGA DIMENSI (3D) CITYGML UNTUK SIMULASI ALIRAN ANGIN MENGGUNAKAN OPENFOAM Izzaty, Ghalizha Zahra; Suwardhi, Deni; Windupranata, Wiwin; Harto, Agung Budi; Wijaya, Dudy Darmawan; Murtiyoso, Arnadi; Soeksmantono, Budhy
MAJALAH ILMIAH GLOBE Vol 23, No 1 (2021)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24895/MIG.2021.23-1.1260

Abstract

CityGML merupakan model data yang bersifat terbuka untuk memodelkan wilayah perkotaan maupun lanskap secara 3D. Dari lima tingkat perincian/Level of Detail (LOD) pada CityGML, LOD1 dan LOD2 menjadi tingkat perincian yang penting karena dimilikinya informasi mengenai struktur atap bangunan yang merupakan syarat data dalam pelaksanaan aplikasi seperti perencanaan detail maupun penataan lingkungan dan bangunan. Dalam mendukung perencanaan dan pengembangan perkotaan dan lanskap yang berkelanjutan, pengetahuan mengenai efek aliran angin di sekitar bangunan menjadi hal yang penting dalam menyelesaikan permasalahan perkotaan yang berkaitan dengan aliran angin. Integrasi model 3D CityGML dengan perangkat lunak simulasi Computational Fluid Dynamics (CFD) OpenFOAM dapat memberikan visualisasi dan informasi mengenai aliran angin di perkotaan dengan lebih baik. Makalah ini mempunyai tujuan untuk membangun dan memvalidasi model 3D CityGML LOD1 lanskap dari data DSM, DTM, dan tutupan lahan serta menerapkan simulasi aliran angin pada model 3D CityGML LOD1 lanskap yang telah dibangun dengan menggunakan perangkat lunak OpenFOAM. Model 3D LOD1 direkonstruksi dari data Digital Surface Model dan peta vektor 2D Kampus ITB Jatinangor, sedangkan bentuk atap pada model 3D LOD2 dihasilkan dari pengamatan stereo fotogrametri. Hasil simulasi aliran angin menunjukkan pengaruh model 3D LOD1 terhadap aliran angin berupa perubahan arah dan kecepatan, serta geometri model 3D LOD1 bangunan dan pohon menyebabkan informasi aliran angin menjadi kurang akurat di sekitar atap bangunan dan di sekeliling pohon. Hal ini dapat diperbaiki dengan menambah tingkat perincian model yang digunakan menjadi LOD2. 
GIS Based Analysis of Agroclimate Land Suitability for Banana Plants in Bali Province, Indonesia I Wayan Nuarsa; I Nyoman Dibia; Ketut Wikantika; Deni Suwardhi; I Nyoman Rai
HAYATI Journal of Biosciences Vol. 25 No. 1 (2018): January 2018
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.186 KB) | DOI: 10.4308/hjb.25.1.11

Abstract

The need for bananas in Bali far exceeds the production. To obtain optimal production according to their genetic potential, the development of banana cultivation should be preceded by a land suitability evaluation study. This study aims to evaluate the land suitability based on agroecological parameters such as rainfall, altitude, dry month, slope, and considering current land use. The results showed that 257.467 ha or 46.16% of the area of Bali Province has the potential to be planted with bananas. Buleleng Regency has the widest area for the development of banana plants, followed by Karangasem, Tabanan, Jembrana and Bangli. Denpasar town has the smallest suitable area. Based on the observed agroclimate parameters, slope is the most severe limiting factor in banana cultivation, while rainfall, altitude, and dry months are not significant limiting factors. Recommended land use for the development of banana plants is garden, grass, rain-fed rice field, scrub, bare land, and moor.
Identification of Banana Plants from Unmanned Aerial Vehicles (UAV) Photos Using Object Based Image Analysis (OBIA) Method (A Case Study in Sayang Village, Jatinangor District, West Java) Agung Budi Harto; Prila Ayu Dwi Prastiwi; Farah Nafisa Ariadji; Deni Suwardhi; Fenny M. Dwivany; I Wayan Nuarsa; Ketut Wikantika
HAYATI Journal of Biosciences Vol. 26 No. 1 (2019): January 2019
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2031.03 KB) | DOI: 10.4308/hjb.26.1.7

Abstract

  Banana is one of the leading fruit commodities of Indonesia and ranks the sixth position as one of the largest banana producers in the world. There are more than 200 types of banana in Indonesia. The utilization of bananas is influenced by the local culture, where in every 10 horticultural households, 5 of them plant bananas both as garden plants or field plants. This horticultural crop is expectantly being one of the actions to improve economic prosperity especially in rural areas. In maintaining the diversity of the growing bananas in rural areas, a geospatial approach to identify the vegetation is required. Remote sensing technology is one of the solutions to observe and to develop banana plants with one of the methods namely Object Based Image Analysis (OBIA). This method consists of segmentation, classification, and validation. In classification process, the OBIA method distinguishes objects not only based on pixel values but also on the basis of the shape, area, and texture around them. This research has proven that the classification using OBIA method is better than the traditional classification such as maximum likelihood classification method to identify banana plants. OBIA method can quickly identifies the vegetation and non-vegetation, also the regular plants and banana plants.
3D Landscape Recording and Modeling of Individual Trees Shafarina Wahyu Trisyanti; Deni Suwardhi; Agung Budi Harto
HAYATI Journal of Biosciences Vol. 26 No. 4 (2019): October 2019
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1527.873 KB) | DOI: 10.4308/hjb.26.4.185

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.
Implementation of SExI–FS (Spatially Explicit Individual-based Forest Simulator) Model using UAV Aerial Photo Data Case Study: Jatinangor ITB Campus Aminah Kastuari; Deni Suwardhi; Himasari Hanan; Ketut Wikantika; Agung Budi Harto; Riantini Virtriana; Shafarina Wahyu Trisyanti
HAYATI Journal of Biosciences Vol. 27 No. 4 (2020): October 2020
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.27.4.314

Abstract

Landscape architecture affected by interaction between built and natural environment such as vegetation. Nowadays, landscape architects are using 3D city models for simulations, which requires highly dynamic and time-varying attributes. 3D city modelling structure has been standardized by CityGML, although researches that are related to the storing of dynamic data had been conducted for the past years, it has not been supported by any standard until this very moment. In dynamizer, it is added as a data structure into a CityGML structure that is already existed, although the existing structure is a static one. Kolbe’s research on dynamic data using CityGML called dynamizer could use the spatial data in more dynamic way by changing its geometric, thematic, or appearance data, but its purpose is not specific for trees or vegetation. In this paper, a method of simulating the vegetation growth using SeXI-FS will be discussed to show the dynamic changes that happen in vegetation as part of the dynamic changes in landscape architecture. The result of this research will be used to address the importance of information on vegetation by studying its changes in Jatinangor ITB Campus and as initial research to build dynamizer in CityGML for landscape architecture.