Geoplanning Journal of Geomatics and Planning最新文献_第2页

Monitoring Land Use and Land Cover Changes Prospects Using Remote Sensing and GIS for Mahanadi River Delta, Orissa, India 基于遥感和GIS的印度奥里萨邦Mahanadi河三角洲土地利用和土地覆盖变化监测前景

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-11-15 DOI: 10.14710/geoplanning.9.1.47-60

Asha Vaggela, Harikrishna Sanapala, J. R. Mokka

{"title":"Monitoring Land Use and Land Cover Changes Prospects Using Remote Sensing and GIS for Mahanadi River Delta, Orissa, India","authors":"Asha Vaggela, Harikrishna Sanapala, J. R. Mokka","doi":"10.14710/geoplanning.9.1.47-60","DOIUrl":"https://doi.org/10.14710/geoplanning.9.1.47-60","url":null,"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","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47754913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Changes in the coverage of essential services along the rural provincial border as a result of informal collaboration 非正式合作导致农村-省级边界基本服务覆盖范围的变化

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-11-15 DOI: 10.14710/geoplanning.9.1.25-36

I. Andini, A. Djunaedi, Deva Fosterharoldas Swasto

{"title":"Changes in the coverage of essential services along the rural provincial border as a result of informal collaboration","authors":"I. Andini, A. Djunaedi, Deva Fosterharoldas Swasto","doi":"10.14710/geoplanning.9.1.25-36","DOIUrl":"https://doi.org/10.14710/geoplanning.9.1.25-36","url":null,"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.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49629788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of Shoreline Change Along The Sandy Beach of Ellembelle District of Ghana 加纳Ellembelle地区沙滩岸线变化评估

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-11-15 DOI: 10.14710/geoplanning.9.1.17-24

C. B. Boye, P. Baffoe, John Nyamekye Ketibuah

{"title":"Assessment of Shoreline Change Along The Sandy Beach of Ellembelle District of Ghana","authors":"C. B. Boye, P. Baffoe, John Nyamekye Ketibuah","doi":"10.14710/geoplanning.9.1.17-24","DOIUrl":"https://doi.org/10.14710/geoplanning.9.1.17-24","url":null,"abstract":"Sandy beaches are most popular tourists and fish landing sites, and serve as habitat for several endangered species. However, sandy beaches more vulnerable to coastal erosion, particularly those along open oceans. Assessment of shoreline change using reliable dataset aid in understanding the morphology of coastal landforms, the processes associated with their occurrence and support decision making. This paper analysed available multi-temporal spatial dataset and field observations using GNSS techniques to assess the shoreline change along the study area. The shoreline features were extracted from 1974 topographic map and 2005 orthophotographs using the High Water Line (HWL) in conjunction with 2020 spatial data. Shoreline change statistics were computed using DSAS. A geodatabase was created, transects were cast and the shoreline change rates computed using EPR, LRR and WLR methods. Both accretion and erosion were recorded with mean erosion rate of 0.97 m/year. It was observed that sections of the shoreline nourished by Ankobra and Amunzuri rivers were experiencing some accretion, particularly the mouth of the Amuzuri river. The estuary of Amunzuri river was found to be drifting eastwards at a rate of 5.4m/year possibly due to tides, waves and currents. The study concludes that in spite of the littoral drift eastwards, fluvial sediment supplied by coastal rivers accounts for the relative stability of shoreline in the area. Policy formulation regarding possible damming of coastal rivers by government under the ‘one district one dam’ agenda must be carefully considered to avert high levels of erosion along the western coast of Ghana.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46308449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reclassification of Urban Growth in Rural Area, Temanggung Regency, Indonesia 印度尼西亚特芒贡县农村地区城市增长的重新分类

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-05-27 DOI: 10.14710/geoplanning.9.1.1-16

H. B. Wijaya, I. Buchori

{"title":"Reclassification of Urban Growth in Rural Area, Temanggung Regency, Indonesia","authors":"H. B. Wijaya, I. Buchori","doi":"10.14710/geoplanning.9.1.1-16","DOIUrl":"https://doi.org/10.14710/geoplanning.9.1.1-16","url":null,"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.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46471784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Development of Desertification Indicators for Desertification Monitoring from Landsat Images Using Python Programming 利用Python编程从陆地卫星图像开发荒漠化监测指标

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-01-04 DOI: 10.14710/geoplanning.8.2.99-114

L. G. Taha, M. A. Basheer, A. M. Mohamed

{"title":"Development of Desertification Indicators for Desertification Monitoring from Landsat Images Using Python Programming","authors":"L. G. Taha, M. A. Basheer, A. M. Mohamed","doi":"10.14710/geoplanning.8.2.99-114","DOIUrl":"https://doi.org/10.14710/geoplanning.8.2.99-114","url":null,"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).","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42880820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Monitoring Dynamics of Vegetation Cover with the Integration of OBIA and Random Forest Classifier Using Sentinel-2 Multitemporal Satellite Imagery 基于OBIA和随机森林分类器的Sentinel-2多时相遥感植被覆盖动态监测

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-01-04 DOI: 10.14710/geoplanning.8.2.75-84

N. M. Sari, R. Rokhmatuloh, M. D. Manessa

{"title":"Monitoring Dynamics of Vegetation Cover with the Integration of OBIA and Random Forest Classifier Using Sentinel-2 Multitemporal Satellite Imagery","authors":"N. M. Sari, R. Rokhmatuloh, M. D. Manessa","doi":"10.14710/geoplanning.8.2.75-84","DOIUrl":"https://doi.org/10.14710/geoplanning.8.2.75-84","url":null,"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.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47960706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Prospective Mapping of Land Cover and Land Use in The Classified Forest of The Upper Alibori Based on Satellite Imagery 基于卫星影像的上游阿里伯里分类森林土地覆盖与土地利用远景制图

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-01-04 DOI: 10.14710/geoplanning.8.2.115-126

Dramane Issiako, Ousséni Arouna, Karimou Soufiyanou, Ismaïla Toko Imorou, B. Tente

{"title":"Prospective Mapping of Land Cover and Land Use in The Classified Forest of The Upper Alibori Based on Satellite Imagery","authors":"Dramane Issiako, Ousséni Arouna, Karimou Soufiyanou, Ismaïla Toko Imorou, B. Tente","doi":"10.14710/geoplanning.8.2.115-126","DOIUrl":"https://doi.org/10.14710/geoplanning.8.2.115-126","url":null,"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.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44092347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Trends in The Adoption of New Geospatial Technologies for Spatial Planning and Land Management in 2021 2021年空间规划和土地管理采用新地理空间技术的趋势

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-01-04 DOI: 10.14710/geoplanning.8.2.85-98

W. D. de Vries

引用次数: 8

The Spatial Model of Paddy Productivity Based on Environmental Vulnerability in Each Phase of Paddy Planting 基于环境脆弱性的水稻种植各阶段生产力空间模型

Geoplanning Journal of Geomatics and Planning Pub Date : 2022-01-04 DOI: 10.14710/geoplanning.8.2.127-136

Rahmatia Susanti, S. Supriatna, R. Rokhmatulah, M. D. Manessa, A. Poniman, Yoniar Hufan Ramadhani

{"title":"The Spatial Model of Paddy Productivity Based on Environmental Vulnerability in Each Phase of Paddy Planting","authors":"Rahmatia Susanti, S. Supriatna, R. Rokhmatulah, M. D. Manessa, A. Poniman, Yoniar Hufan Ramadhani","doi":"10.14710/geoplanning.8.2.127-136","DOIUrl":"https://doi.org/10.14710/geoplanning.8.2.127-136","url":null,"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.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47439612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling Precipitable Water Vapour (PWV) Over Nigeria from Ground-Based GNSS 基于地面GNSS的尼日利亚上空可降水蒸汽（PWV）建模

Geoplanning Journal of Geomatics and Planning Pub Date : 2021-05-20 DOI: 10.14710/geoplanning.8.1.41-50

B. Swafiyudeen, Usman Ibrahim Sa'i, Bala Adamu, Abubakar Aliyu Zailani, Adamu Abubakar Musa, Shehu Nura

{"title":"Modelling Precipitable Water Vapour (PWV) Over Nigeria from Ground-Based GNSS","authors":"B. Swafiyudeen, Usman Ibrahim Sa'i, Bala Adamu, Abubakar Aliyu Zailani, Adamu Abubakar Musa, Shehu Nura","doi":"10.14710/geoplanning.8.1.41-50","DOIUrl":"https://doi.org/10.14710/geoplanning.8.1.41-50","url":null,"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.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43420207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1