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Geoplanning : Journal of Geomatics and Planning
Published by Universitas Diponegoro
ISSN : -     EISSN : 23556544     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Geoplanning, Journal of Geomatics and Planning (E-ISSN: 2355-6544), is an open access journal (e-journal) focusing on the scientific works in the field of applied geomatics technologies for urban and regional planning including GIS, Remote Sensing and Satellite Image Processing. This journal is published every six months in April and October (2 issues per year), and developed by the Geomatics and Planning Laboratory, Department of Urban and Regional Planning, Diponegoro University
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 7, No 2 (2020)" : 5 Documents clear
Flood-Reduction Scenario Based on Land Use in Kedurus River Basin Using SWAT Hydrology Model Santika Purwitaningsih; Adjie Pamungkas; Prima Tama Setyasa; Rahel Putri Pamungkas; Ahmad Rizky Alfian; Shafira Aulia Rosyida Irawan
Geoplanning: Journal of Geomatics and Planning Vol 7, No 2 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.2.87-94

Abstract

The rapid growth population phenomenon has causes excessive land demand for residential and economic activity. Moreover, the rapid urbanization also increases the contribution of land constrains. Land conversion from conservation to cultivation uses affects the surface runoff volume that leads to flooding. According to these problems, it is necessary to take steps to control flood in Kedurus Watershed. One of the proper urban development concept is the Water Sensitive City (WSC). The protection against flood in WSC can be accomplished with the land use arrangement that can reduces the surface runoff. The aim of this research is to determine the proper land use scenario to reduce floods in Kedurus Watershed. In order to reach this aim, the writer uses sensitivity analysis to identify the proper land use scenario to be applied in the watershed and SWAT to select the best scenario. The efforts to reduce flood through the land use scenario (scenario 2) could reduce the flood volume by 44,320.32 m3 or 8.11% of the total volume of flood in the area. The average reduction of flood volume in each sub basins is 12,92% and the highest number of reduction is 65,67% (sub basin 22).
Spatial Multi-Criteria Analysis and Least-Cost Path on The Highway Route Planning: A Case Study of Bawen – Yogyakarta Highway, Indonesia Bramantiyo Marjuki; Iwan Rudiarto
Geoplanning: Journal of Geomatics and Planning Vol 7, No 2 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.2.113-130

Abstract

Infrastructure planning ideally not only considers the geotechnical aspects and physical conditions of the infrastructure development location but also must be able to support regional development. One kind of spatial analysis technique which has capabilities to integrate various regional characteristics associated with its suitability for a particular use is spatial multi-criteria analysis. By using Bawen-Yogyakarta Toll Road Plan as a case study, this research is intended to apply route planning that takes into account regional characteristics, through the involvement of Spatial Multi-Criteria Analysis, Analytic Hierarchy Process, and Least Cost Path analysis. The analysis results then compared with the government preferred route to see its advantages and disadvantages. The results show that the generated route from the analysis has several advantages over the government preferred route, while also having some shortcomings. The advantages of route analysis results compared to government preference routes include: better able to avoid earthquake and landslide-prone areas, better support to the preservation of protected areas, has more areas with flat to gentle topography, and have smaller additional construction cost as the consequences of intersection with existing roads, rivers and railways, In terms of affected land-use, generated route also has minimum negative impacts on the sustainability of agricultural land in the study area. The shortcomings of the analysis result are: not yet able to avoid flood and volcanic eruptions-prone areas as well as government’s preferences route, higher land acquisition cost estimation, and less support for industrial and tourism activities in the research area. Improvement of analysis methods, data, and cost assessment strategy is needed to obtain better results and more appropriate modeling and analysis, in order to support regional infrastructure planning and development. 
Urban Feature Extraction from Merged Airborne LiDAR Data and Digital Camera Data Lamyaa Gamal EL-Deen Taha; A. I. Ramzi; A. Syarawi; A. Bekheet
Geoplanning: Journal of Geomatics and Planning Vol 7, No 2 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.2.57-74

Abstract

Until recently, the most highly accurate digital surface models were obtained from airborne lidar. With the development of a new generation of large format digital photogrammetric aerial camera, a fully digital photogrammetric workflow became possible. Digital airborne images are sources for elevation extraction and orthophoto generation. This research concerned with the generation of digital surface models and orthophotos as applications from high-resolution images.  In this research, the following steps were performed. A Benchmark data of LIDAR and digital aerial camera have been used.  Firstly, image orientation, AT have been performed. Then the automatic digital surface model DSM generation has been produced from the digital aerial camera. Thirdly true digital ortho has been generated from the digital aerial camera also orthoimage will be generated using LIDAR digital elevation model (DSM). Leica Photogrammetric Suite (LPS) module of Erdsa Imagine 2014 software was utilized for processing. Then the resulted orthoimages from both techniques were mosaicked. The results show that automatic digital surface model DSM that been produced from digital aerial camera method has very high dense photogrammetric 3D point clouds compared to the LIDAR 3D point clouds. It was found that the true orthoimage produced from the second approach is better than the true orthoimage produced from the first approach. The five approaches were tested for classification of the best-orthorectified image mosaic using subpixel based (neural network) and pixel-based ( minimum distance and maximum likelihood).Multicues were extracted such as texture(entropy-mean),Digital elevation model, Digital surface model ,normalized digital surface model (nDSM) and intensity image. The contributions of the individual cues used in the classification have been evaluated. It was found that the best cue integration is intensity (pan) +nDSM+ entropy followed by intensity (pan) +nDSM+mean then intensity image +mean+ entropy after that DSM )image and two texture measures (mean and entropy) followed by the colour image. The integration with height data increases the accuracy. Also, it was found that the integration with entropy texture increases the accuracy. Resulted in fifteen cases of classification it was found that maximum likelihood classifier is the best followed by minimum distance then neural network classifier. We attribute this to the fine resolution of the digital camera image. Subpixel classifier (neural network) is not suitable for classifying aerial digital camera images. 
Mapping of Public Space for Cultural Celebration Chinese Ethnic in Chinatown Semarang Rina Kurniati; Sugiono Soetomo; Imam Buchori
Geoplanning: Journal of Geomatics and Planning Vol 7, No 2 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.2.95-112

Abstract

Chinatown, often called Chinezen Wijk, is one of the centers of the city's economic activity. This area is developing very fast, plus the characteristics of worship activities and cultural celebrations that use public space in the form of roads, so that the area becomes crowded. Based on these problems, this study aimed to map the celebration of Chinese ethnic culture in the public space of the Semarang Chinatown. The research method is quantitative descriptive with GIS to map cultural celebration activities in the public space. The analysis results show that cultural celebration activities in the public space are influenced by the duration of the event, location selection, smooth traffic, parking conditions, and road conditions. The results of this study are expected to contribute to better spatial planning policy.
Population Estimation Using Geographic Information System and Remote Sensing for Unorganized Areas Kamel Allaw; Jocelyne Adjizian Gerard; Makram Zouheir Chehayeb; Nada Badaro Saliba; Abbas Rammal; Zainab Jaber
Geoplanning: Journal of Geomatics and Planning Vol 7, No 2 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.2.75-86

Abstract

Population estimation using remotely sensed data has been largely discussed in the literature relative to human geography. However, the previously established models can be applied on organized areas (mainly urban areas) but they are not suitable for unorganized areas which already suffer from a lack of population data. So, the aim of this study is the establish a statistical model for population estimation based on remote sensing data and suitable for unorganized areas. To do so, the morphological characteristics have been studied and a bivariate analysis was carried out to determine factors having a strong relationship with population data as a first step. Second, factors with strongest correlations have been chosen to establish the required model. As a result, an equation has been generated which relates the population data to building volume, density of roads, number of nodes, actual urban areas, and urban trend.

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