YOUTH FORUM ABSTRACTS & BIOGRAPHIES

Mapping, Modeling and Simulation in Landscape Architecture using CityGML Dynamizer

Abstract:

CityGML has been used as one of the representation of landscape architecture that could help the architects to spatially analyze and visualize their design. Unfortunately, for simulations that related to dynamic changes and time-varying attributes have not been supported by CityGML. In dynamizer, it added as a data structure into a CityGML structure that is already existed, although the existing structure is a static one. Using dynamizer, the spatial data could be used in more dynamic way by changing its geometric, thematic, or appearance data. This research will use the modified method that already been used by Thomas H. Kolbe which extends static 3D city models by supporting variations of individual feature properties and associations by modifying the feature’s attribute or appearance. In this research, the study case is analyzing the geometry of building that is affected by sun shadow using sun shadow analysis from ESRI, and how the affected building could be stored in the dynamizer, whether by its coordinate, or just its structure. From this research, dynamizer could help to provide the dynamic geometric data without the trouble of re-retrieving the before data, examining how the geometric shapes and spatial operations are stored in this dynamizer.

Biography:

Kastuari was graduated from Geodetic and Geomatic Engineering at Bandung Institute of Technology (ITB) and received Master Degree at ITC Enschede in Geoinformatic. Kastuari was working in a Governmental Geological Agency, and did some work in providing risk maps using GIS. Kastuari is a PhD candidate at ITB and had a research paper published in proceedings of 2016 ISPRS related to 3D GIS for landscape architecture.

3D City Modeling Non-Building Thematic: Vegetation and City Furniture

Abstract:

3D city model is a digital representation of the original environment that can be used in a variety of applications, such as the process of planning, building, and maintaining a city. However, 3D City models are currently more focused on building modeling. Whereas other thematic features, such as vegetation and city furniture, are important in spatial analysis and visualization. The aim of this research is to evaluate and develop 3D city model non-building for vegetation and city furniture that can be used in landscape architecture. Due to the need for analysis of landscape architecture, then the classification, information, level of detail, and visualization of those models must be created. The used data are generated by survey and mapping, using UAV-Photogrammetry and laser scanner technology. Data can be an orthophoto or surface model as point cloud. Integrating and modeling data into 3D city model becomes an interesting challenge for advance research, especially for automation process. The modeling results can be used for spatial analysis, especially visibility analysis and visualization in landscape architecture. Based on the comparison between the various existing 3D city models, CityGML, KML, and 3DCIM, CityGML is more flexible for use and continue in future research.

Biography:

Shafarina Wahyu Trisyanti is a master’s student in Geodesy and Geomatics Engineering at Bandung Institute of Technology (ITB). Her current research focuses on 3d city modeling, especially for vegetation and city furniture. She completed her bachelor’s degree in Architecture at ITB.

Monitor Land Ownership Equality in Indonesia using GIS Technology

Abstract:

Land use in Indonesia is dominated by a large agriculture private sector. The condition created a steep inequality of land ownership between the private sector and smallholder farmer. It has more impact on farmer livelihood and wealthiness. The government of Indonesia sees this problem and launch the social forestry and the land reform program to solve the situation. The goal is helping more people to have a land ownership and use it for their livelihood. Such an important program need a tool to monitor the implementation so that it can achieve its objective. GIS technology has this capability. This research uses GIS to analyze the distribution of the area utilized for social forestry and land reform. Comparing the area with the people condition within an area, we could see the effectiveness of the program and also give the recommendation of proposed area to be used in the social forestry and land reform program in Indonesia

Biography:

I am the GIS analyst for WRI Indonesia and has 5 years’ experience in GIS field. Most of my works are related to developing WebGIS application and database and also helping the government to achieve their program.

Identification of Land-Cover Changes Pattern using The Markov Chain Dependence Test (Study Area: Bandung, West Java)

Abstract:

Land-cover changes are vulnerable in Indonesia nowadays, as land needs continue to increase while land is limited. Land-cover changes can affect environmental stability, so it’s necessary to overcome especially with political policy. In order to ensure that policies are appropriate, should be known prediction of future land cover by looking at the pattern of land-cover changes. Based on Markov Chain properties, future land cover depends on current conditions. The dependence can be first-order, i.e., future land-cover changes (t2) depending exactly on the pattern of change in the previous period (t1), or second-order that changes in the future (t2) depending on change pattern in all previous periods (t1 and t0). In this study, the Markov Chain dependence test was performed on Bandung land cover data in the period of 1994, 1997, 2001, 2006, and 2011. The results show that the pattern of land-cover changes in Bandung has a dependence on land-cover changes pattern in all period (second-order). Example, 2001’s land cover depends on land-cover changes in 1994-1997 and 1997-2001. Thus, the pattern of future land-cover changes can be predicted from the previous pattern of land-cover changes minimum in two periods.

Biography:

Irene Idha Yovita, a student that interested in research activities, especially the implementation of Geographic Information System for socio-economic development. My undergraduate thesis entitled “The Analysis of Land-Cover Changes Pattern according to Spatial Statistic in Bandung”. Previously I also participated in the making of a paper entitled “Development of Kiaracondong Flats with Smart Eco-Building Concept as a Solution for Limited Land”.

Selfie Saves Lives: Digital Strategies to Reduce Flood Impact in Indonesia

Abstract:

During flood situations, Indonesians are especially active on the social media; they share crucial information with each other through social media and instant messaging platforms. By sharing local information about their neighborhood during the flood, others use this real-time information as to make decisions, reduce risk, and improve safety. Though the local government has received some support from NGOs, private companies, and other agencies in terms of collecting information from the field during disaster events, this information is usually not well-integrated with their operational system, which can cause problems during emergency situations. By beginning from the chaotic reality experienced by residents and first responders during flood events, the PetaBencana.id team created a design brief for their platform that made sure it would easily collect disaster reports from social media and integrate with real-time updates from governmental agencies. In the same time, the platform was designed to support peer-to-peer sharing and to democratize decision support by allowing all residents with internet access to freely use the platform. PetaBencana.id also runs on free and open source software, which is a key to maintaining public transparency and making the project sustainable. In this presentation, members from PetaBencana.id will discuss the design process and how they learned to utilize local knowledge as a guide for building and maintaining this system, which now covers an area of Java with over 50 million residents.

Biography:

Mahardika Fadmastuti is a geographer, the Geospatial Information Coordinator of PetaBencana.id; a real-time open source platform that sort, gather, and visualize on the ground information; which initiated by Urban Risk Lab at Massachusetts Institute of Technology. Fadmastuti conducts and coordinates research regarding flood and socio-geography carried out by researchers from various academic disciplines. She is currently a master student at the Graduate School of Environmental Science, Universitas Indonesia.

Modeling Web-based GIS Tourism Cost Planning System in Bandung City

Abstract:

The study, published in the journal Psychosomatic Medicine in 2009 says, vacationing and other leisure activities can offer a positive view of everything and cut the level of depression. However, the results of a survey conducted by one of Asia's hotel chain 41% of respondents said the reason people are lazy to go on vacation because of the difficulty of planning a vacation. Seeing these conditions, then made an effort to build a GIS web-based cost planning system that can help tourists in doing tourism trip planning in Bandung City. The developing of the system in this research doing by creating a database which is then integrated with the query entered by the user so that it can calculate all the expenses that will occur on the tour such as transportation cost, hotel cost, entrance ticket of tourist object, and the parking ticket. The result of this research is a GIS Web-based cost planning system as one way to convey information about cost planning in taking a tour by taking into account distance factor. This information can be used by the tourists to determine the tourist destination, cost and place of stay to be used when traveling as well.

Biography:

Suci Siti Aisah Robiansah is a geodetic and geomatical engineering student of Bandung Institute of Technology who will soon get her bachelor degree in July 2017. She is currently completing her research on the web-based geospatial information system. She loves everything related to design, which is why he is also interested in cartography. In her spare time, she likes to go with her friends just to enjoy the beauty of nature.

Local Knowledge as a Primary Basis in Identification of Village Administrative Boundary in Indonesia: Case Study in Sumber Village, Trucuk Sub-District, Klaten Regency, Central Java Province

Abstract:

The national development concept of Indonesia is now called as NAWA CITA. NAWA CITA is the nine development programs that are the main priorities of the Indonesian Government. One of the programs is to develop Indonesia from the periphery by strengthening the regions and villages within the framework of the unitary state. In Indonesia there are many villages which its administrative boundaries have not been verified and do not have Basic Geospatial Information. The unavailability of Basic Geospatial Information resulted in the limitations in advancing region development. Identification of administrative boundaries is very important to improve the development supported with good regional planning. This research was conducted on Sumber Village of Trucuk Sub-district of Klaten Regency. The purpose of this research is to verify the administrative boundaries of Sumber Village and to produce Basic Geospatial Information in the form of verified Village Administration Map. The method used in this research was cartometric method. The results of this study indicate that there are four distinct segments of administrative boundaries of Sumber Village which shift significantly from the actual village administrative boundary. There is a change of segment width and length after the verified process based on local knowledge of the village.

Biography:

Rahma Anisa Fitrah Insani called as Anisa, 21 years old. She is the student of Geography Faculty, Muhammadiyah University of Surakarta, 6th semester. She joins the Students Executive Agency of Geography Faculty of Muhammadiyah University of Surakarta as a general secretary. She’s also the member of English Debating Society in her campus, and now she teaches in Geography Faculty as a Laboratory Assistant in basic cartography and soil science course.

Location of Electrical Jointing Using Graph Theory Based on Regulation in Indonesia

Abstract:

Location of electrical jointing must be known first when there are any problems with the electrical lines in medium voltages. If the location of electrical jointing is not yet known, the response for the problems would be delayed. The problems would be difficult when electrical jointing is located underground. The purpose of this research is to find the location of underground electrical jointing using graph theory. The lines of underground electricity of medium voltages would be determined based on the installment's regulation from Electricity Company of Indonesia. Installment's regulation would be used as factors that influence the location of underground electrical jointing. Theory of networks flows can be adapted in this research to analyze the best lines from any possible lines that have been found. Adopted form the graph theory, transmission lines components and surrounding objects (i.e. buildings, road, etc.) would provide vector data which are points, lines, and polygons. These vector data will be processed to be converted to points that can be described as nodes or edges. So that the possibilities lines could be connected from nodes to nodes/edges. Accuracy of electrical jointing location would be compared to the exact location of underground electrical jointing.

Generation and Application of Sugarcane Growth Monitoring Products of the UP-SRA Yield Estimation System for Sugarcane (YESS) Project

Abstract:

Sugarcane planters in the Philippines adapt different farm practices in cultivating sugarcane, including regular monitoring of crops to avoid potential profit loss. The Yield Estimation System for Sugarcane (YESS) Project of the University of the Philippines (UP) and Sugar Regulatory Administration (SRA) aims to provide timely, scientific, and farm-specific crop information to assist the farmers in monitoring crop health and growth status. The Project developed workflows to generate growth monitoring products such as Normalized Difference Vegetation Index (NDVI) maps, yield-forming to mature cane maps, total planted area estimates, burned cane maps and damaged cane maps. Landsat, MODIS, Sentinel-1 and Sentinel-2 are the main satellite systems used in this Project. The YESS also generated orthomosaic, digital elevation models (DEM) and NDVI maps using image acquired using unmanned aerial system. This is for the validation of satellite-products and the assessment of damages due to typhoons. The sugarcane growth monitoring products derived from Landsat were NDVI maps, yield-forming to mature cane maps and burned cane maps. Landsat NDVI maps were generated for selected mill districts and were categorized into three levels: high (0.6 – 0.8), moderate (0.4 – 0.6) and low (0.2 – 0.4) NDVI values. The second Landsat-derived product is the yield-forming to mature canes map which uses both the NDVI and vegetation moisture content information extracted from the SWIR bands. NDVI is effective in identifying the growth stage of dense crop while the SWIR bands can provide better estimation of vegetation water content when combined with NIR. The yield-forming to mature canes map is significant in computing the total harvestable canes and in determining the remaining standing canes when generated during the harvest period. This product was also used in determining which areas will fall under early, mid and late harvests. Burning of canes is one of the agricultural management practices in Tarlac, Philippines. Information on burned sugarcane extent is significant in yield estimation models to calculate total sugar lost during harvest. Burned cane maps highlight both the burned area and burn severity of each sugarcane pixels. These were generated using the Normalized Burn Ratio (NBR) and differenced Normalized Burn Ratio (dNBR) index. Differenced NBR (dNBR) is computed by subtracting the post-fire scene NBR from a pre-fire scene NBR. An accuracy of 89.03% was calculated for the Landsat-derived NBR validated using actual Tarlac mill data for crop year 2015-2016. The dNBR values are then expressed as burn severity (Key and Benson, 2006) in the generated burned cane maps. Growth monitoring products from MODIS includes NDVI and ratooned and planted cane classification maps. MODIS NDVI layers were utilized to visualize an extended temporal trend of sugarcane cultivation and to detect the start, end, and length of cropping season. To determine planted and ratooned canes, a time-series NDVI was explored and analyzed for Tarlac mill district where field validated data provided by SRA have plot level information on crop type. Two products were needed in the method, the MODIS 16 days composite and the MODIS 8 days composite. The former is a higher level MODIS product and the latter will require robust processing of surface reflectance. The main temporal spectral difference at the establishment to harvest phase is that ratooned canes have smoother NDVI drop as compared to planted canes. This is mainly caused by the retained stem/root collar after harvest which is still detected by the satellite, compared to the bare soil in the case of planted canes. Synthetic Aperture Radar (SAR) data from Sentinel-1 were used for calculating total areas planted with sugarcane. Enough training datasets were used to determine image statistics that were then utilized to classify the image based on statistical parameters extracted from the image. The results for selected sites were 83% accurate after post processing. Lastly, the cane canopy damage map was a product generated by computing the change in the fractional cover values of Sentinel-2 MSI images before and after a typhoon. Most growth monitoring products can be created using the YESS' ready-to-use models developed in ERDAS Imagine.

Biography:

Alvin Baloloy holds a Master's Degree in Environmental Science and is currently a Science Research Specialist II at the Training Center for Applied Geodesy and Photogrammetry (TCAGP), University of the Philippines. His research studies focus on the environmental applications of Remote Sensing and GIS. He was involved in projects under TCAGP in partnership with institutions such as the Climate Change Commission and the Department of Environment and Natural Resources.

THE EFFECT OF TEMPERATURE AND RAINFALL VARIATION ON PHENOLOGY AND PRODUCTION OF OIL PALM IN JOHOR

Abstract:

World climate has changed significantly over recent decades and altering earth system. Temperature in Southeast Asia has grown at a rate of 0.14 °C to 0.20 °C every decade since the 1960s. The IPCC Fifth Assessment Report also projected that global warming and climate change will occur more drastically in the last three decades of the 21st century and temperatures in that region is expected to increase about 1.5 °C to 2.0 °C in the mid-century (2046-2065). Therefore, the method of tracking and evaluating changes in ecosystems is important in assessing the effects of climate change. Land Surface Phenology (LSP) is a study on plant growth patterns and observed using remote sensing technologies. Variety temporal and spatial resolutions data from remote sensing technologies allow the changes and conditions of vegetation to be studied and monitored in various spatial and time scales. Global climate change is one of the threats to the oil palm industry in Malaysia which plays a major role in the Malaysia's economic development. Therefore, this research is conducted to identify the relationship of climate change on oil palm phenology and productivity in Johor in a period of 17 years (2000 to 2016). Remote sensing data which is Enhanced Vegetation Index (EVI) time series from MODIS-Aqua (product MYD13-Q1), rainfall, temperature and Fresh Fruit Bunch data is use to assess phenological and productivity patterns of oil palm throughout year 2000-2016.

Biography:

Amirah Audadi Madzen is a postgraduate student from Social Environmental and Development Sustainability (SEEDS) Research Centre, Faculty of Social Science and Humanities. Currently, her master thesis is about climate change, oil palm phenology and productivity using remote sensing-based.