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Geoplanning Journal
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
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Articles 91 Documents
EVALUATION OF MODIS-DERIVED LST PRODUCTS WITH AIR TEMPERATURE MEASUREMENTS IN CYPRUS Georgiou, Andreas Marios; Varnava, Stefani Theofanis
Geoplanning: Journal of Geomatics and Planning 2019: Article In Press (Uncorrected Proof)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.0.0.%p

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

Show Abstract | Original Source | Check in Google Scholar | 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).
INSIGHT ANALYSIS ON DYKE PROTECTION AGAINST LAND SUBSIDENCE AND THE SEA LEVEL RISE AROUND NORTHERN COAST OF JAVA (PANTURA) INDONESIA Andreas, Heri; Abidin, Hasanuddin Zainal; Sarsito, Dina Anggreni; Pradipta, Dhota
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018): (April 2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | 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 recognize at the first of the city or urban area development, while the sea level rise was recognize 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 dykes “protector” is necessary. How long the dyke would effectively protect the land area would be highlight in this paper.
SLUM REVITALIZING PLAN OF BAGHDADIYAH BY SPATIAL RE-MODELING CONFIGURATION Taki, Herika Muhamad
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017): (October 2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.0.0.%p

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

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.0.0.%p

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 exploring the planning processes for managing and developing ecotourism in the region. Interactive analysis and spatial analysis were employed as analytical lenses. Research findings reveal that ecotourism management and development in Mount Lawu region has not applied spatial planning. Even though ecotourism has developed in the region for several years, the importance of spaces has not been taken into account by stakeholders. Various characteristics of spaces require spatial planning to manage ecotourism activities in the region. This study highlights the significance of spatial planning to manage and develop sustainable mountain ecotourism in Mount Lawu region by mapping out the resources 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
A GIS TOOLKIT FOR AUTOMATING DESCRIPTIVE STATISTIC COMPUTATIONS FOR AIR QUALITY MODELING Georgiou, Andreas Marios; Kontos, Themis
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018): (April 2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Original Source | Check in Google Scholar | 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.
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 Yudono, Adipandang
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018): (April 2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | 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.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.
LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA Arjasakusuma, Sanjiwana; Danoedoro, Projo; Herumurti, Sigit; Nugroho, Yanuar Adji; Aryaguna, Prama Ardha
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017): (October 2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.0.0.%p

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.
TIME TRAVEL ESTIMATIONS USING MAC ADDRESSES OF BUS PASSENGERS: A POINT TO PATH-QGIS ANALYSIS Hidayat, Arief; Terabe, Shintaro; Yaginuma, Hideki
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018): (October 2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.2.263-272

Abstract

Currently, the development of WiFi is proliferating, especially in the field of transportation and smart cities. At the same time, WiFi is a low-cost technology, which offers a longer survey time and is able to support the Big Data era. This paper describes our study, which first uses a WiFi scanner to capture media access control (MAC) address data of bus passengers’ WiFi devices and then identifies each MAC address travel time to confirm the bus passengers. The MAC address is a unique ID for each device used such as mobile phones, smartphones, laptops, tablets, and other WiFi-enabled equipment. The WiFi scanner was placed inside the bus to capture all the MAC addresses inside and around the bus. The survey was conducted for one day (eight hours). The paper describes the procedure of the time travel estimation for each MAC address using the “point to path” analysis in QGIS open source software. This procedure, using point to path-GIS, produced 70,000-80,000 raw data points cleaned into 100-130 new data points. The procedure determined how many passengers traveled and explained which bus passengers used based on travel time.
PEMANFAATAN CITRA SATELIT UNTUK PENENTUAN LAHAN KRITIS MANGROVE DI KECAMATAN TUGU, KOTA SEMARANG Ardiansyah, Denny Maulana; Buchori, Imam
Geoplanning: Journal of Geomatics and Planning Vol 1, No 1 (2014): (April 2014)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.1.1.1-12

Abstract

This study aims to map the level of the degraded land of mangrove forest area in TUGU Sub-district, Semarang, by comparing the results from the Landsat 7 ETM + images of 2009 and ALOS AVNIR-2 in 2009. To determine the degradation of mangrove forest area, we used geographic information systems-remote sensing as a tool of analysis based on three criteria; land use type, canopy density, and soil resilience from abrasion. The two satellite image data were used for supervised image classification using ER Mapper software to get the criteria of type of land use and density of the canopy. For soil resilience from abrasion, we utilized soil types reclassification techniques using ArcGIS software. Based on Landsat imagery, the results show that 92.22 % of the mangrove forest area is in severely damaged condition, and 7.78% is in the category of moderate damage. Meanwhile, based on the results of ALOS image, 77.73 % of the mangrove areas is in severely damaged condition, and 22.27 % is in the category of moderate damage. It can be concluded that ALOS and Landsat imageries are good for the determination of degraded mangrove land, especially in identifying its area and distribution in the mangrove forest. However, the degraded mangrove map generated by Landsat is less detailed than ALOS in classifying and representing the conditions of the degraded mangrove area in Tugu sub-district. 

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