Geoplanning : Journal of Geomatics and Planning
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
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<![CDATA[WHY DO SPATIAL DATA AND INFORMATION HAVE A SIGNIFICANT ROLE IN SPATIAL PLANNING PROCESS? THE INVESTIGATION OF SPATIAL DATA AND INFORMATION USAGE IN INDONESIAN SPATIAL PLANNING POLICIES ]]>
<![CDATA[Adipandang Yudono]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.131-146
<![CDATA[In spatial planning processes, the different aspects of human interactions involving political circumstances, social, economics, historical and cultural objectives can be understood through maps or spatial visualisations, because those media can illustrate abstract phenomena into visual images. Spatial data has a role to play in spatial governance by providing thematic spatial information and analysis at all authority scales. Furthermore, spatial data and information are prerequisites for any participation in planning deliberation helping to create consensus. Spatial data and information currently have a role in communicating with all stakeholders (i.e. local authorities, private sectors and communities) whose interests are in development proposals in particular areas in order to decide implementation, priorities in local geographical areas. This paper investigates the role of spatial data and information in Indonesian spatial planning process using archival research method. The empirical studies take a qualitative approach in analysing the results of data collection from fieldwork observation through collecting legal documents and internal institutional reports. Synchronization and consistency between development plan and spatial plan must be ensured in every interrelated spatial policy, so that the various implementation efforts do not lead to conflict. Furthermore, spatial data and information has a crucial role in translating the development strategies into the implementation of the development programme for the implementation of the government's agenda.]]>
<![CDATA[A GIS TOOLKIT FOR AUTOMATING DESCRIPTIVE STATISTIC COMPUTATIONS FOR AIR QUALITY MODELING ]]>
<![CDATA[Andreas Marios Georgiou]]>;
<![CDATA[Themis Kontos]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.53-62
<![CDATA[A GIS toolset was developed to support spatial analysis functions, visualization and extraction of a variety of input variables for air quality assessment. The developed toolset allows the automated processing of large amounts of ASCII data converting to points and raster data and the examination of the correlation among them. A case study was performed in Athens basin in Greece. Using the developed GIS toolset, topographic, climatic characteristics and air pollution conditions as well correlations were derived by processing the input data. In addition, thematic maps illustrating the spatial distribution of each parameter were extracted. The developed GIS toolset greatly reduced the time and effort needed to process the GIS data, and provided a useful tool for a wide variety of environmental applications. The tool uses ArcObjects as the programming language to incorporate equations for statistical analysis in a monthly and a yearly time step. This versatile programming language allows advanced users to incorporate more complex formulations for more accurate results as detailed data is acquired to develop routines for calibration when reference data exist. Results verified the usefulness and feasibility of the developed platform.]]>
<![CDATA[INSIGHT ANALYSIS ON DYKE PROTECTION AGAINST LAND SUBSIDENCE AND THE SEA LEVEL RISE AROUND NORTHERN COAST OF JAVA (PANTURA) INDONESIA ]]>
<![CDATA[Heri Andreas]]>;
<![CDATA[Hasanuddin Zainal Abidin]]>;
<![CDATA[Dina Anggreni Sarsito]]>;
<![CDATA[Dhota Pradipta]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.101-114
<![CDATA[Land subsidence and the sea level rise is newly well-known phenomenon around northern coast of Java Indonesia (PANTURA). The occurrence of land subsidence at least recognizes at the first of the city or urban area development, while the sea level rise was recognized from several last decades corresponds to the global warming. Following the both phenomena, tidal inundation (in Javanese they call it “Rob”) is now becoming another newly well-known phenomenon along PANTURA. In the recent years the tidal inundation comes not only at a high tide but even at the regular tide in some area. Sea level rise and the land subsidence are considered as the causes deriving the occurrence of tidal inundation. Dykes have been built against tidal inundation around PANTURA (e.g. in Jakarta, Blanakan, Pekalongan, Semarang, and Demak). Nevertheless, since the land subsidence and the sea level rise are believed to be continuing through times, insight analysis on these dyke’s “protector” is necessary. How long the dyke would effectively protect the land area would be highlight in this paper.]]>
<![CDATA[ESTIMATING MANGROVE FOREST DENSITY USING GAP FRACTION METHOD AND VEGETATION TRANSFORMATION INDICES APPROACH ]]>
<![CDATA[Nurul Khakhim]]>;
<![CDATA[Akbar Cahyadhi Pratama Putra]]>;
<![CDATA[Tantri Utami Widhaningtyas]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.35-42
<![CDATA[Mangrove forest represented a coastal ecosystem in Indonesia. Theoretical validation and in-field measurement by calculating the number of trees and the density data that was validated through remote sensing would not be appropriate because the remote sensing recorded canopy density and not tree stands. New method canopy photography or gap fraction method was the technique to predict sun radiation using the photograph taken upward through extremely wide lens and classification object image. The objectives of the study were (1) to examine the acuracy of the estimation of the mangrove forest density using vegetation index transformation, and (2) to map the mangrove forest condition. The location of the study was Alas Purwo Resort Grajagan National Park area. The material of the study was Landsat-8 OLI image recorded on January 19th, 2016 using SAVI vegetation index transformation method. Gap fraction filed measurement method was a new method in Indonesia. The results of the study showed that the regression of the SAVI index between index transformation value and in-field condition (R2) was 0.566, the forest density estimation resulting from the SAVI index transformation had the RMSE of 2.334178 and the density of the mangrove forest in Grajagan Bay of the Alas Purwo National Park included low density of 0-12.5% (30.42 ha), medium density of 12.6-25% (116.55 ha), and high density of 25.1-37.6% (463.68 ha).]]>
<![CDATA[MODEL OF MOTORCYLCE OWNERSHIP AND ITS IMPACT TO URBANIZATION IN RURAL AREA: A CASE OF KUDUS REGENCY, INDONESIA ]]>
<![CDATA[Sam'ani Intakoris]]>;
<![CDATA[Sugiono Soetomo]]>;
<![CDATA[Imam Buchori]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.147-156
<![CDATA[This paper aims to convey the fact that the use of motorcycles can have an impact on the urbanization process of rural communities. the study was conducted in Kudus by taking three villages namely Wonosoco, Padurenan, and Rahtawu. the data was processed using the average nierest neighborhood technique and hot spot analysis using GIS. The results show that motorcycle ownership forms a cusltered pattern with high intersection in all villages. These results show that motorcycles are the main drivers in rural economies. These findings reinforce the theory that motorcycles have a positive impact on rural growth, especially in developing countries.]]>
<![CDATA[MONITORING AND PREDICTING LAND USE-LAND COVER (LULC) CHANGES WITHIN AND AROUND KRAU WILDLIFE RESERVE (KWR) PROTECTED AREA IN MALAYSIA USING MULTI-TEMPORAL LANDSAT DATA ]]>
<![CDATA[Jibrin Gambo]]>;
<![CDATA[Helmi Zulhaidi Mohd Shafri]]>;
<![CDATA[Nur Shafira Nisa Shaharum]]>;
<![CDATA[Fauzul Azim Zainal Abidin]]>;
<![CDATA[Mohd Taufik Abdul Rahman]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.17-34
<![CDATA[Natural and anthropogenic activities surrounding a Protected Area (PA) may cause its natural area to change in terms of Land Use-Land Cover (LULC). Thus, there is need of environmental change monitoring within and around PA because of its significant values to ecosystem at conservation scales. Effects and influences of local community within and around PA turn into the major problems for natural resource and conservations management as well as environmental impact assessment. Ascertaining the complex interface in relations to changes and its driving factors over period of time within and around PA is significant in order to predict future LULC changes, build alternative scenarios and serve as tools for decision making. The main objective of this work was to evaluate temporal change detection and prediction of LULC as well as the trends of changes from 1989 to 2016 within and around Krau Wildlife Reserve (KWR). The cloud issues were mitigated by producing cloud free image and object-based image analysis (OBIA) was adopted after a comparison with pixel-based analysis for overall accuracy and kappa statistics. The comparison of classified maps had produced a satisfactory results of overall accuracies of 91%, 86% and 90% for 1989, 2004 and 2016 respectively. The natural/dense forest between periods of 1989-2016 was decreased whereas built-up and agricultural/sparse forest were increased. The simulation model of Land Change Modeler (LCM) was utilized with digital elevation model (DEM) and past LULC maps to project future LULC pattern using Markov chain. The predicted map trend showed an increase of dense forest converted to agricultural/sparse forest in the north-western, and urban/built-up in east-southern part of KWR. The study is important for the conservation of habitat species and monitoring the current status of the KWR]]>
<![CDATA[SPATIAL EXPLICIT MODELING TO UNDERSTAND THE DYNAMICS OF LANDUSE SWITCH USING OPEN SOURCE SATELLITE DATA ]]>
<![CDATA[Saifudheen Kalluvetty]]>;
<![CDATA[Subhajit Bandopadhyay]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.1-16
<![CDATA[Restless global urbanization needs to monitor in order to design a stable and sustainable urban habitat. In this regard, remote sensing and GIS are considered as an efficient monitoring and decision-support tool in sustainable urban planning and practices. In this paper we accumulate the results of a research undertaken to measure the urban sprawl and land use dynamics of the Dehradun city, Uttarakhand using vast sixteen years data and spatially explicit cellular automata CA-Markov model. Furthermore, future scenario of the city and land use was also examined. To achieve the desired goal, sixteen years large temporal images of Landsat were used to analyze the spatial decoration of land use change in the study area. The outcome of this study was clearly reviled that there was a substantial change was take place in the Dehradun city and its surroundings in last sixteen years. Modeling proposed a clear trend of various land use classes’ transformation in the area of urban built up expansions and urban encroachment whereas agricultural lands and forest covers are reduced at an alarming rate over the time. Dynamically increasing population of the city can be approximated by the predicted future scenarios. In order to promote a balance in between urban growth and environmental protection towards a sustainable urban habitat and environmental, local community involvement and capacity building program can be an efficient drive in this regard.]]>
<![CDATA[IMPACT OF GOVERNANCE PERFORMANCE ON THE INDONESIAN MAP STANDARIDISING PROCESS ]]>
<![CDATA[Nabiha Zain Muhamad]]>;
<![CDATA[Raldi Hendro Koestoer]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.157-162
<![CDATA[The lack of standardized thematic maps in Indonesia has led to many land ownerships conflicts on the ground. The problem began since Indonesia started to exploit its natural resources by giving up its management to the market in the early 1960s. Concessions to exploit natural resources were given out without adequate assessment to real potential value of the resources. Mapping of concession areas by respective ministries without any standardized method or reference lead to the production of multiple official maps that conflict one another. Efforts to standardize the conflicting maps were initiated in 2011 and is currently still ongoing. This study aims to derive governance performance indices that directly or indirectly affect the map standardizing process. This study interviewed sources related to either the policy making process at the national level; government officials executing the policy at the provincial level and those affected by the conflict and other stakeholders advocating their rights. Interviewees include a number of officials in the central government both current and when the initiative were launched, provincial government and at the village level. To achieve sustainable development in environmental management, good governance is a prerequisite. However, the study found that sectoral ego and low government performance including, among others, corruption played a big role in hindering the process. By adding governance performance indices along with natural and economic variables to a forecast model, it can be predicted when Indonesia will likely to achieve its ideal level of harmonized maps.]]>
<![CDATA[PRELIMINARY INVESTIGATION OF THE ROBUSTNESS OF MAXIMALLY STABLE EXTREMAL REGIONS (MSER) MODEL FOR THE AUTOMATIC REGISTRATION OF OVERLAPPING IMAGES ]]>
<![CDATA[Oluibukun Gbenga Ajayi]]>;
<![CDATA[Ifeanyi Jonathan Nwadialor]]>;
<![CDATA[Ifeanyi Chukwudi Onuigbo]]>;
<![CDATA[Olurotimi Adebowale Kemiki]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.63-74
<![CDATA[Various researchers in Digital Image processing have developed keen interest in the automation of object detection, description and extraction process used for various applications and this has led to the development of series of Feature detection and extraction models one of which is the Maximally Stable Extremal Regions Feature Algorithm (MSER). This paper investigates the robustness of MSER algorithm (a blob-like and affine-invariant feature detector) for the detection and extraction of corresponding features used for the automatic registration of series of overlapping images. The robustness investigation was carried out in three different registration campaigns using overlapping images extracted from google earth and image pair acquired from an Unmanned Aerial Vehicle (UAV). Sum of Square Difference (SSD) and Bilinear interpolation models were used to establish the similarity measure between the images to be registered, resampling of the pixel-values and computation of non-integer coordinates respectively while Random Sampling Consensus (RANSAC) algorithm was used to exclude the outliers and to compute the transformation matrix using affine transformation function. The results obtained from this preliminary investigation shows that the processing speed of MSER is quite high for Automatic Image Registration with a relatively high accuracy. While an accuracy of 61.54% was obtained from the first campaign with a processing time of 11.92 seconds, the second campaign gave an accuracy of 52.02% with a processing time of 11.20 seconds and the third campaign produced an accuracy of 55.62% with a processing time of 3.27 seconds. The obtained speed and accuracy shows that MSER is a very robust model and as such, can be deployed as the feature detection and extraction model in the development of an automatic image registration scheme.]]>
<![CDATA[SPATIAL STATISTICS FOR MAPPING SOLID WASTE GENERATION MAPPING IN TEMBALANG, SEMARANG CITY ]]>
<![CDATA[Septa Yudha Ardiansyah]]>;
<![CDATA[Maryono Maryono]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.5.1.163-174
<![CDATA[The annually increasing number of urban populations will have impacts on waste generation. Tembalang Sub-district as a sub-district located on the outskirts of Semarang City has significant developments in the term of population growth in correlation with waste generation. Within four years, waste generation in the Tembalang Sub-district increased from the fifth rank to the third rank. It is possible that this sub-district will become the first rank in Semarang City in waste generation. To be able to identify influential factors and spatial distribution pattern of waste generation in Tembalang Sub-district, it is necessary to apply statistical and spatial approach. This study uses quantitative methods with a statistical spatial analysis approach by using GIS. In addition, this research also intends to model the relationships of Solid Waste Generation by applying socio-economic variables. Based on the results of Ordinary Least Square analysis, social economy variables that affect the amount of waste generation in Tembalang Sub-district are the number of population and trading activities. The model of formed socio-economic variables has the effect of 25% towards the amount of waste generation. Spatial patterns identified from waste generation shows that what needs to be considered is the waste management in TPS (Temporary Waste Disposal) in Tembalang and Sendangmulyo. ]]>
