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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
The Spatial Model of Paddy Productivity Based on Environmental Vulnerability in Each Phase of Paddy Planting Rahmatia Susanti; S. Supriatna; R. Rokhmatuloh; Masita Dwi Mandini Manessa; Aris Poniman; Yoniar Hufan Ramadhani
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.8.2.127-136

Abstract

The national primary always growth and increase in line with the increase in population, such as the rise of rice consumption in Indonesia.  Paddy productivity influenced by the physical condition of the land and the declining of those factors can detected from the environmental vulnerability parameters. Purpose of this study was to compile a spatial model of paddy productivity based on environmental vulnerability in each planting phase using the remote sensing and GIS technology approaches. This spatial model is compiled based on the results of the application of two models, namely spatial model of paddy planting phase and paddy productivity. The spatial model of paddy planting phase obtained from the analysis of vegetation index from Sentinel-2A imagery using the random forest classification model. The variables for building the spatial model of the paddy planting phase are a combination of NDVI vegetation index, EVI, SAVI, NDWI, and time variables. The overall accuracy of the paddy planting phase model is 0.92 which divides the paddy planting phase into the initial phase of planting, vegetative phase, generative phase, and fallow phase. The paddy productivity model obtained from environmental vulnerability analysis with GIS using the linear regression method. The variables used are environmental vulnerability variables which consist of hazards from floods, droughts, landslides, and rainfall. Estimation of paddy productivity based on the influence of environmental vulnerability has the best accuracy done at the vegetative phase of 0.63 and the generative phase of 0.61 while in the initial phase of planting cannot be used because it has a weak relationship with an accuracy of 0.35.
Development of Desertification Indicators for Desertification Monitoring from Landsat Images Using Python Programming Lamyaa Gamal EL-Deen Taha; Manar A. Basheer; Amany Morsi Mohamed
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.8.2.99-114

Abstract

Nowadays, desertification is one of the most serious environment socioeconomic issues and sand dune advances are a major threat that causes desertification. Wadi El-Rayan is one of the areas facing severe dune migration. Therefore, it's important to monitor desertification and study sand dune migration in this area. Image differencing for the years 2000 (Landsat ETM+) and 2019 (OLI images) and Bi-temporal layer stacking was performed. It was found that image differencing is a superior method to get changes of the study area compared to the visual method (Bi-temporal layer stacking). This research develops a quantitative technique for desertification assessment by developing indicators using Landsat images. Spatial distribution of the movement of sand dunes using some spectral indices (NDVI, BSI, LDI, and LST) was studied and a Python script was developed to calculate these indices. The results show that NDVI and BSI indices are the best indices in the identification and detection of vegetation. It was found that mobile sand dunes on the southern side of the lower Wadi El-Rayan Lake caused filling up of large part of the lower lake. The indices results show that sand movement decreased the size of the lower Wadi El-Rayan Lake and there are reclamation activities in the west of the lower lake. The results show that a good result could be achieved from the developed codes compared to ready-made software (ENVI 5).
Monitoring Dynamics of Vegetation Cover with the Integration of OBIA and Random Forest Classifier Using Sentinel-2 Multitemporal Satellite Imagery Nurwita Mustika Sari; R. Rokhmatuloh; Masita Dwi Mandini Manessa
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.8.2.75-84

Abstract

The existence of vegetation in an area has an important role to maintain the carrying capacity of the environment and create a comfortable environment as a place to live. In an effort to create a sustainable environment, there are various pressures on vegetation that cause a decrease in vegetation area. Economic activity, population growth and other anthropogenic activities trigger the dynamics of vegetation cover in an area that causes land cover changes from vegetation to non-vegetation. Majalengka Regency as one of the areas with intensive regional physical development in line with the operation of BIJB Kertajati and the Cipali toll road became the study area in this research. This study aims to monitor the dynamics of vegetation cover with the proposed method namely the integration of the OBIA and Random Forest classifier using multi temporal Sentinel-2 satellite imagery. The results show that there is a decrease in the area of vegetation in the research area as much as 4,329.6 hectares to non-vegetation areas in the period 2016-2020. The vegetation area in 2020 is 84,716.07 hectares and non-vegetation area is 35,708 hectares. Thus, there has been a decrease in the percentage of vegetation area from 73.94% in 2016 to 70.35% in 2020, meanwhile for non-vegetation areas there has been an increase from 26.06% in 2016 to 29.65% in 2020.
Reclassification of Urban Growth in Rural Area, Temanggung Regency, Indonesia Holi Bina Wijaya; Imam Buchori
Geoplanning: Journal of Geomatics and Planning Vol 9, No 1 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.1.1-16

Abstract

Reclassification is part of urban growth together with the natural growth of birth and death, and migration from rural to urban areas. However, the reclassification has a deficiency in studies due to the urban growth discourses have much focused on the central force of existing urbanized areas. Historical data shows that the economic growth in urban areas is more due to a residual increase from migration growth and reclassification rather than natural growth. This paper contributes to the empirical context of the phenomenon of reclassification of urban growth and its following spatial changes in the rural area of Temanggung regency, Indonesia. The study utilizes the comparison analysis by examining the growth of industrial employment as an urban activity in rural areas, as well as looking at this relationship with changes in the physical built-up area as an indication of the urbanization process. This study found that the reclassification in Temanggung regency has encouraged urbanization in rural areas, through the development of industrial activities based on local resources and labor and promoted economic growth in rural areas. The reclassification that occurs is mostly due to the wood products manufacturing business that has been supported by the potential resources, and local workforce, rather than the active role of the government institution.
Changes in the Coverage of Essential Services Along the Rural Provincial Border as a Result of Informal Collaboration Isti Andini; Achmad Djunaedi; Deva Fosterharoldas Swasto
Geoplanning: Journal of Geomatics and Planning Vol 9, No 1 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.1.25-36

Abstract

The Sustainable Deveopment Goals prioritize universal essential public services as the second most important development goal after human basic needs in a global perspective. Indonesia implements a public service provision standard with a territorial approach and a set of minimum population requirement that lead to urban bias, resulting in border areas failing to meet the requirements for the provision of public services. Daerah Istimewa Yogyakarta Province is one of Indonesia's provinces with more than 70% of its border areas being rural, and more than 40% of border villages having limited essential public services. Because of the territorial delivery system for essential public services, formal cross-border services require a significant amount of resources. Using quantitative approach by indexing essential public services availability, this paper examines changes of essential public services coverage when cross-border services are provided informally. The case of Pustu Panggang informal crossborder service delivery provides lessons on how informal collaboration works. Although it involves misdeeds and omissions, the application of informal collaboration in cross-border services increases essential public service coverage by 57 percent in Daerah Istimewa Yogyakarta Province's rural border areas. As a result, informal collaboration should be viewed as a low-cost coping strategy in Indonesia's efforts to provide universal public service coverage.
Sense of Place, Physical Activity, and Quality of Life as a Part of Community Well-being in Three European Community Hossein Mousazadeh
Geoplanning: Journal of Geomatics and Planning Vol 9, No 2 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.2.61-72

Abstract

The present study considers the measurement of quality of life as indicators of community well-being, which can be affected by the conditions of physical health, psychological, environment, and relationships of community residents. The purpose of this study was to test the perception of the residents of the community about the effect of the river and the satisfaction of the residents in different areas of life. This research was tested using a survey of 450 respondents from different communities in Europe. Participants completed measures of the World Health Organization Quality of Life-BREF questionnaire, Sense of place questionnaire, and author survey questionnaire about the type of Physical Activity. The results highlighted that all five domains of quality of life are strongly related to the length of time living by the river. Most of the participants stated that living by the river increases their self-confidence, security, and spirit of participation, which is directly related to enhancing the well-being and quality of life of citizens. According to the findings, the factor of security by the river is the most frequent. Participants who had lived near a river for more than 15 years were more likely to report greater physical activity, sense of place, and thus quality of life. In addition, several socio-demographic and basic factors related to the quality of life of the participants were also identified in this research.
Monitoring Land Use and Land Cover Changes Prospects Using Remote Sensing and GIS for Mahanadi River Delta, Orissa, India Asha Vaggela; Harikrishna Sanapala; Jagannadha Rao Mokka
Geoplanning: Journal of Geomatics and Planning Vol 9, No 1 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.1.47-60

Abstract

Natural landscapes have altered dramatically via anthropogenic activity, particularly in places that are heavily influenced by climate change and population increase, such as nation like India. It is crucial for sustainable development, particularly effective water management methods, to know about the influence of land use and land cover (LULC) changes. Geographic information systems (GIS) and remote sensing (RS) were employed for monitoring land use changes utilising quantum ArcGIS and ERDAS Imagine were done for prediction of LULC changes. This research studied the variations in LULC in the Mahanadi river basin delta, Orissa for the years 2010, 2015, and 2020. Landsat satellite pictures were employed to track the land use changes. For the categorization of Landsat images, maximum- likelihood supervised classification was applied. The broad categorization identifies four basic groups in the research region, including (i) waterbodies, (ii) agriculture fields (iii) forests (iv) barren lands (v) built-up areas, and (vi) aquaculture. The findings indicated a big growth in forests from the year 2010 to 2020, but a substantial increase in barren lands had happened by the year 2020, while built-up lands use has witnessed a quick climb. The kappa coefficient was used to measure the validity of identified photos, with an overall kappa coefficient of 0.82, 0.84, and 0.90 for the years 2010, 2015, and 2020, respectively. However, a large drop will occur in agriculture fields in the predicted years. The study effectively demonstrates LULC alterations showing substantial pattern of land use change in the Mahanadi delta. This information might be valuable for land use management and future planning in the region
Spatial Distribution of Coral Reef Degradation with Human Activities in the Coastal Waters of Samatellu Lompo Island, South Sulawesi Muhammad Rafi Andhika Pratama; Masita Dwi Mandini Manessa; Supriatna Supriatna; Farida Ayu; Muhammad Haidar
Geoplanning: Journal of Geomatics and Planning Vol 9, No 2 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.2.121-132

Abstract

A healthy coral reef ecosystem can be beneficial for the survival of fish habitats and aquatic ecosystems. This study aims to analyze the influence of human activities on the spatial distribution of coral reefs in the coastal waters of Samatellu Lompo Island, Pangkajene Islands Regency, South Sulawesi in 2000, 2014, 2018, and 2021. The spatial distribution of coral reefs was obtained through a field survey using the underwater transect photo method. Then, satellite images were processed by using the Lyzenga algorithm for water column correction, and aquatic objects were classified by using unsupervised classification. Human activities that affect coral reef destruction were obtained through interviews and it was strengthened with related literature studies. The results showed that the coral reefs in the coastal waters of Samatellu Lompo decreased from 2000-2021. In 2000, the live coral area was 13.53 ha, whereas in 2021 it was 8,031 ha. Destructive fishing activities such as using bombs and poison in catching fish are the main factors of coral reef destruction. In addition, destructive fishing activities commonly occur in the western and northern waters of Samatellu Lompo that causing the live coral into dead coral or rubble.
3D Modeling of Bosscha Observatory with TLS and UAV Integration Data Gusti Ayu Jessy Kartini; Naura Dwi Saputri
Geoplanning: Journal of Geomatics and Planning Vol 9, No 1 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.1.37-46

Abstract

The Bosscha Observatory is Southeast Asia's first modern astronomical observatory. This observatory is located exactly on the Lembang Fault in West Java, Indonesia. Its existence on the fault line makes Bosscha Observatory very vulnerable to disasters, which in the future will cause severe damage to the cultural heritage building. One way to protect the preservation of cultural heritage buildings is through 3D digital documentation. With 3D shapes, we can obtain precise visual and geometric data that can be used to monitor the building's condition. There are two technology will be used in this study, terrestrial laser scanner (TLS) and unmanned aerial vehicle (UAV) photogrammetry. TLS systems can capture millions of points representing 3-D coordinates at extremely high spatial densities on complex, multidimensional surfaces within minutes. UAV photogrammetry can generate 3D point cloud in centimeter-level precision. The results of data integration between TLS and UAV have been implemented successfully and can be used as one of the measurement techniques supporting 3D modeling and compensating for the shortcomings of each tool. This three-dimensional model can be used to create a cylindrical portion of a building and the roof of a hemispherical building; the texture and color of the building's details, such as windows, doors, and stairs, can be produced with an RMSE error value of 0.025 meters.
The Correlation Between Urban Development and Land Surface Temperature Change in Palembang City Nadiya Tri Utami; Bitta Pigawati
Geoplanning: Journal of Geomatics and Planning Vol 9, No 2 (2022)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.9.2.89-102

Abstract

Palembang city has experienced an increase in its population. Population growth results in an increase in activities which enlarge the built-up areas. The increase of built-up areas is one of the indicators of urban growth. The increase in built-up areas is inversely proportional to the vegetation area. Reduced vegetation area might cause an increase in land surface temperature. The aim of the study was to analyze the correlation between urban growth and changes in land surface temperature in Palembang City using descriptive quantitative method and spatial analysis on the data obtained from remote sensing images. The result shows that in 1998-2018, Palembang City has developed to the north (Sukarami District) and to the west (Ilir Barat I District). There has been an increase in the temperature, documented as 2.12°C. There is a correlation between urban growth and changes in land surface temperature in Palembang City