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Geoplanning : Journal of Geomatics and Planning
Published by Universitas Diponegoro
ISSN : -     EISSN : 23556544     DOI : -
Core Subject : Science,
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 181 Documents
LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA Sanjiwana Arjasakusuma; Projo Danoedoro; Sigit Herumurti; Yanuar Adji Nugroho; Prama Ardha Aryaguna
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.4.2.187-200

Abstract

Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been used widely to map cropping pattern of paddy mostly using spectral analysis of multi temporal multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy.  This research aimed to map paddy rotation by using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy.  Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m was collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area.
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 Adipandang Yudono
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.1.131-146

Abstract

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.
A GIS TOOLKIT FOR AUTOMATING DESCRIPTIVE STATISTIC COMPUTATIONS FOR AIR QUALITY MODELING Andreas Marios Georgiou; Themis Kontos
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1536.391 KB) | DOI: 10.14710/geoplanning.5.1.53-62

Abstract

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.
MOUNTAIN ECOTOURISM SPATIAL PLANNING TOWARDS GREEN MANAGEMENT: THE CASE OF MOUNT LAWU REGION OF INDONESIA Rara Sugiarti; Sunarto Sunarto
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.4.2.233-244

Abstract

Mount Lawu region has abundant resources consisting of diverse flora and fauna which have the potentials to be developed as ecotourism attractions. It has also cultural sites containing local wisdom. As the area is a fragile ecosystem, it needs appropriate planning for green management and development. This research aims at: (1) exploring the planning concept for managing and developing ecotourism in the region; (2) analyzing the spatial distribution of ecotourism facilities to support sustainable management, and (3) creating a foundation for designing a new spatial planning model for ecotourism development in Mount Lawu region. Mapping method using geographic information system (GIS), spatial analysis, and interactive analysis were employed as analytical lenses. Research findings reveal that ecotourism management planning in Mount Lawu region has not optimized the function of spaces. Even though ecotourism has developed in the region for several years, the appropriate usage of spaces has not been taken into account by stakeholders. Essential facilities of ecotourism including space for interpretation have not been provided. This study highlights the significance of spatial planning to manage and develop sustainable mountain ecotourism in Mount Lawu region by mapping out the resources and facilities to support planning and decision making. It is in line with several models proposed by some researchers which suggest the importance of analyzing the available spaces for sustainable ecotourism management and development.
SLUM REVITALIZING PLAN OF BAGHDADIYAH BY SPATIAL RE-MODELING CONFIGURATION Herika Muhamad Taki
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.4.2.213-224

Abstract

Baghdadiyah is a neighborhood of Jeddah Downtown, Kingdom of Saudi Arabia. Inhabitants of this area come from multi-ethnic and mostly low-income residents. The high density of the area affects land use more concisable.  Consequently, the beauty of the city which was used to be historic sites of Jeddah is down-grading. This study proposed to revitalize city plan for a better quality of life. The aim of this study was to re-shape a slum area and to improve the spatial configuration of urban structure based on the recent condition. The method involved several approaches: recognizing a theoretical basic concept of the slum, applying spatial re-configuration, analyzing the existing conditions and re-constructing new syntactical properties. The result of this study shared a new design of slum revitalizing plan for Baghdadiyah configuring dominated patterns of integration and connection. Adequate transport networks would reshape the city building profile.
INSIGHT ANALYSIS ON DYKE PROTECTION AGAINST LAND SUBSIDENCE AND THE SEA LEVEL RISE AROUND NORTHERN COAST OF JAVA (PANTURA) INDONESIA Heri Andreas; Hasanuddin Zainal Abidin; Dina Anggreni Sarsito; Dhota Pradipta
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.1.101-114

Abstract

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.
ESTIMATING MANGROVE FOREST DENSITY USING GAP FRACTION METHOD AND VEGETATION TRANSFORMATION INDICES APPROACH Nurul Khakhim; Akbar Cahyadhi Pratama Putra; Tantri Utami Widhaningtyas
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (933.273 KB) | DOI: 10.14710/geoplanning.5.1.35-42

Abstract

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).
Evaluation of MODIS-Derived LST Products with Air Temperature Measurements in Cyprus Andreas Marios Georgiou; Stefani Theofanis Varnava
Geoplanning: Journal of Geomatics and Planning Vol 6, No 1 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.1.1-12

Abstract

Air temperature data is usually obtained from measurements made in meteorological stations, providing only limited information about spatial patterns over wide areas. The use of remote sensing data can help overcome this problem, particularly in areas with low station density, having the potential to improve the estimation of air surface temperature at both regional and global scales. Land Surface (skin) Temperatures (LST) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra and Aqua satellite platforms provide spatial estimates of near-surface temperature values. In this study, LST values from MODIS are compared to ground-based near surface air (Tair) measurements obtained from 4 observational stations during 2011 to 2015, covering coastal, mountainous and urban areas over Cyprus. Combining Terra and Aqua LST-8 Day and Night acquisitions into a mean 8-day value, provide a large number of LST observations and a better overall agreement with Tair. Comparison between mean monthly LSTs and mean monthly Tair for all sites and all seasons pooled together yields a very high correlations (r > 0.96) and biases ranging from 1.9oC to 4.1oC. MODIS capture overall variability with a slightly systematic overestimation of seasonal fluctuations of surface temperature. For the evaluation of intra-seasonal temperature variability, MODIS showed biases up to 6.7oC in summer with a tendency to overestimate the variability while in cold seasons, limited biases were presented (0.10oC ± 0.50oC) with a tendency to underestimate the variability. Finally, there was no indication of tendency for MODIS to systematically under- or overestimate the amplitude of the inter-annual variability analysis. The presented high standard deviation can be explained by the influence of surface heterogeneity within MODIS 1km2 grid cells, the presence of undetected clouds and the inherent difference between LST and Tair. Overall, MODIS LST data proved to be a reliable proxy for surface temperature and mostly for studies requiring temperature reconstruction in areas with lack of observational stations.
IDENTIFICATION OF RIVER BANK EROSION AND INUNDATION HAZARD ZONES USING GEOSPATIAL TECHNIQUES – A CASE STUDY OF INDUS RIVER NEAR LAYYAH DISTRICT, PUNJAB, PAKISTAN Hafiz Uzair Ahmad Khan; Syed Farhan Ahmed Khalil; Syed Jamil Hasan Kazmi; Mudassar Umar; Atif Shahzad; Suhaib Bin Farhan
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2442.884 KB) | DOI: 10.14710/geoplanning.4.2.121-130

Abstract

This study aims to assess an area of about 70 km along Indus River in Layyah and Muzaffargarh districts of Punjab, Pakistan, which is highly vulnerable to erosion. Actual erosion and deposition has been quantified for each of left and right bank of river over a period of 2002 to 2016. Open source data product of Landsat was used to identify the spatio-temporal changes of Indus River. A model has been developed that extracted the water from satellite images using NDWI. River path of Indus has been mapped for 2002, 2009 and 2016 during high and low flow seasons which not only signifies the channel shifting and river morphology, but also highlights the zones where water over run into land. It has been observed from the study that river is shifting more towards its left bank and the area is highly vulnerable to erosion. In 2009, river eroded 24.3 km2 from right bank while it eroded 100 km2 from left bank. Similarly, in 2016, an erosion of 12.5 km2 and 71.9 km2 from right and left bank, respectively, was occurred. The river inundation eroded the major agricultural land and affected the life of people and infrastructure. Results provided the latest and reliable information on the dynamics of Indus River in the study area which can be utilized to develop erosion control program and taking practical measures to ensure the safety of life and infrastructure.
MODEL OF MOTORCYLCE OWNERSHIP AND ITS IMPACT TO URBANIZATION IN RURAL AREA: A CASE OF KUDUS REGENCY, INDONESIA Sam'ani Intakoris; Sugiono Soetomo; Imam Buchori
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.1.147-156

Abstract

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.

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