cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
INDONESIA
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 181 Documents
 10   11   12   13   14 
Flood Hazard Mapping in Residential Area Using Hydrodynamic Model HEC-RAS 5.0 Muhammad Baitullah Al Amin; Reini Silvia Ilmiaty; Ayu Marlina
Geoplanning: Journal of Geomatics and Planning Vol 7, No 1 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.1.25-36

Abstract

The flood hazard rating is one of the essential variables in flood risk analysis. The identification of flood-prone areas urgently requires information about flood hazard zones. This research explains the method to develop flood hazard map by using hydrodynamic modeling in the residential areas. The hydrodynamic model used in this research is HEC-RAS 5.0, which can simulate the one- and two-dimensional flow regimes. The study area is Bukit Sejahtera and Tanjung Rawa residences located in Palembang City with a total area of about 200 ha, where the Lambidaro River was frequently overflowing caused flood inundation in the area. There are five indicators of flood hazard being analyzed, i.e., 1) flood depth, 2) flow velocity, 3) energy head, 4) flow force, which is the result of multiplication between flood depth and the square of flow velocity, and 5) intensity, which is the result of multiplication between flood depth and the flow velocity. The simulation results show that the flood hazard rating in the study area ranges from high to low level. The zones with a high flood hazard rating are dominated by the area around or near to the river, whereas the further zones have a moderate and low level of flood hazard rating. The flood depth indicator has a more significant influence than the flow velocity on the flood hazard level in the study area. This research is expected can contribute to the development of flood map and flood control methods in advance.
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. 
Practical Methods of GIS for Archaeologists: Viewshed Analysis – The Kingdom of Pylos example George D. Malaperdas
Geoplanning: Journal of Geomatics and Planning Vol 8, No 1 (2021)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.8.1.1-22

Abstract

Visibility (or Viewshed) Analysis in archeology is a function given through GIS, in purpose to contribute in the field of archaeology and especially in landscape archeology, by reconstituting the visual panorama of a study area of the past.  The concept of landscape archeology is a multidimensional research process that is not limited to archaeologists but places a special emphasis on a multidisciplinary approach. Mycenaean Messenia was the area of study and analysis of the visual panorama for two important reasons. First of all, it is a large area, which presents territories of varying heterogeneity in terms of morphology, while having a large sea front and an open observation horizon. Secondly, it is one of the continental regions of the Mycenaean period, which has evoked the largest number of residential facilities, structures and tombs, and also has been extensively studied by archaeologists since the 1920s. The main aim of this paper is to make an effort to identify archaeological information, through the bibliographic references of the archaeologists who studied the area, with the GIS visibility analysis. For that reason, the author tries for those residential locations that have been assigned a role or function of the site by archaeologists, such as an observation station, to be controlled in parallel and on the basis of new technologies (GIS and Viewshed Analysis) if this view is verified.
Utilization of MODIS Surface Reflectance to Generate Air Temperature Information in East Java - Indonesia Arif Faisol; Indarto Indarto; Elida Novita; Budiyono Budiyono
Geoplanning: Journal of Geomatics and Planning Vol 7, No 1 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.1.37-46

Abstract

Ambient air temperature is main variable in climatological and hydrological analysis, however limited number of meteorological stations in Indonesia was becoming a problem to provide air temperature data for large areas.  The objective of this study is to generate air temparature using relationship of land surface temperature and vegetation index. A total of 6 climatological station and 84 MODIS Images for three years (2015 to 2017) were used for the analysis.  Research methods include: image georeferencing, band extraction from modis, derivation of NDVI, gererating ambient air temperature, calibrating using local meteorological station, and image interpretation. Results show that the accuracy of MODIS Surface Reflectance product to generate ambient air temperature in East Java at any periods is 86,37%. So MODIS Surface Reflectance product can be used as alternative solution to generate ambient air temperature.
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.
Modelling Precipitable Water Vapour (PWV) Over Nigeria from Ground-Based GNSS Bawa Swafiyudeen; Usman Ibrahim Sa'i; Adamu Bala; Aliyu Zailani Abubakar; Adamu Abubakar Musa; Nura Shehu
Geoplanning: Journal of Geomatics and Planning Vol 8, No 1 (2021)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.8.1.41-50

Abstract

Global Navigational Satellite System (GNSS) over the past and present time has shown a great potential in the retrieval of the distribution of water vapour in the atmosphere.  Taking the advantage of the effect of the atmosphere on GNSS signal as they travel from the constellation of satellite to ground-based GNSS receivers such that information (water vapour content) about the atmosphere (mostly from the troposphere) can be derived is referred to as GNSS meteorology. This paper presents the spatiotemporal variability of Precipitable Water Vapour (PWV) retrieved from ground–based Global Navigation Satellite System (GNSS) stations over Nigeria for the years 2012 to 2013. In this paper, the GNSS data were processed using GAMIT (ver. 10.70). The GNSS PWV were grouped into daily and monthly averages; the variability of the daily and monthly GNSS PWV were compared and validated with the daily and monthly PWV from National Centre for Environmental Prediction (NCEP) and monthly Rainfall data for the study years respectively. The results revealed that the spatiotemporal variability of PWV across Nigeria is a function of geographic location and seasons. The result shows that there is temporal correlation between GNSS PWV, NCEP PWV and rainfall events. The research also affirms that GNSS PWV could be used to improve weather forecasting/monitoring as well as climate monitoring.
Mapping of Waste Management Planning Based on Society and Geographic Conditions Niluh Widyaningsih; Shunsuke Sasaki
Geoplanning: Journal of Geomatics and Planning Vol 7, No 1 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.1.47-56

Abstract

Household solid waste is the major environmental issue, not only in big cities but also in the suburban areas. Setia Asih Village location is in Kecamatan Tarumajaya, Kabupaten Bekasi. Bekasi is closed with Jakarta and it has unique characteristics, such as dual market economy; administration system; and social culture of the local people. Setia Asih Village has tremendous unmanaged household solid waste. It covers the land and river. This research paper used qualitative approach due to the limited of statistical data on the village level in Indonesia. The preliminary observation showed that local people do not have any knowledge or information about managing their household solid waste. Their local government does not have any responsibility to manage the household solid waste on the village level. It becomes local people responsibility. There is lack coordination among stakeholders in household solid waste management at Setia Asih Village. I conducted the solid waste management training to 300 people and Focus Group Discussion (FGD) with each Dusun (lower level than village) representatives. I found that local people have solutions to solve their household solid waste problem. Local government builds a new waste bank as Corporate Social Responsibility (CSR) from one of the state-owned enterprise.
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.
Trends in The Adoption of New Geospatial Technologies for Spatial Planning and Land Management in 2021 Walter Timo de Vries
Geoplanning: Journal of Geomatics and Planning Vol 8, No 2 (2021)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.8.2.85-98

Abstract

Changes in spatial planning and land management practices, regulations and operations have frequently relied on the uptake of innovations in geospatial technologies. This article reviews which ones the spatial planning and land management domains has effectively adopted and which new ones might potentially disrupt the domain in the near future of 2021 and beyond. Based on an extensive concept-centric trends synthesis and meta-review, the analysis demonstrates that whilst geospatial technologies are clearly gaining wider societal recognition and while private companies are indeed developing promising applications, its adoption in office work of public officials and public decision makers remains almost as limited as before. The potentially most disruptive technologies for the domain are however BIM, Block chain and Machine learning.
Prospective Mapping of Land Cover and Land Use in The Classified Forest of The Upper Alibori Based on Satellite Imagery Dramane Issiako; Ousséni Arouna; Karimou Soufiyanou; Ismaila Toko Imorou; Brice Tente
Geoplanning: Journal of Geomatics and Planning Vol 8, No 2 (2021)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.8.2.115-126

Abstract

The dynamics of land cover and land use in the classified forest of the upper Alibori (FCAS) in relation to the disturbance of agro-pastoral activities is a major issue in the rational management of forest resources. The objective of this research is to simulate the evolutionary trend of land cover and land use in the FCAS by 2069 based on satellite images. Landsat images from 2009, 2014 and 2019 obtained from the earthexplorer-usgs archive were used. The methods used are diachronic mapping and spatial forecasting based on senarii. The MOLUSCE module available under QGIS remote sensing 2.18.2 is used to simulate the future evolution of land cover and land use in the FCAS. The land cover and use in the year 2069 is simulated using cellular automata based on the scenarios. The results show that natural land cover units have decreased while anthropogenic formations have increased between 2009 and 2014 and between 2014 and 2019. Under the "absence multi-criteria zoning (MZM)" scenario over a 50-year interval, land cover and use will be dominated by crop-fallow mosaics (88%). On the other hand, the scenario "implementation of a multicriteria zoning (MZE)", was issued with the aim of reversing the regressive trend of vegetation types by making a rational and sustainable management of resources.

Page 12 of 19 | Total Record : 181

 10   11   12   13   14 

Filter by Year

2014 2025


Reset
Filter By Issues
All Issue Vol 12, No 2 (2025) Vol 12, No 1 (2025) Vol 11, No 2 (2024) Vol 11, No 1 (2024) Vol 10, No 2 (2023) Vol 10, No 1 (2023) Vol 9, No 2 (2022) Vol 9, No 1 (2022) Vol 8, No 2 (2021) Vol 8, No 1 (2021) Vol 7, No 2 (2020) Vol 7, No 1 (2020) Vol 6, No 2 (2019): April (2020) Vol 6, No 2 (2019) Vol 6, No 1 (2019) Vol 5, No 2 (2018): In Press Vol 5, No 2 (2018) Vol 5, No 1 (2018) Vol 4, No 2 (2017): (October 2017) Vol 4, No 2 (2017) Vol 4, No 1 (2017) Vol 3, No 2 (2016) Vol 3, No 1 (2016) Vol 2, No 1 (2015): (April 2015) Vol 2, No 2 (2015) Vol 2, No 1 (2015) Vol 1, No 2 (2014): (October 2014) Vol 1, No 2 (2014) Vol 1, No 1 (2014) More Issue