Pub Date : 2021-04-27DOI: 10.7494/GEOM.2021.15.3.5
Roman Shulgan, O. Yanchuk, Olha Pakharenko, A. Pryshchepa
The paper examines the impact of highways of urban significance on surrounding areas. The authors substantiated the size of the road‐effect zone. In order to determine the quantitative extent of the impact of highways on surrounding areas, the scholars applied the data regarding the selling prices of land plots with various designated purpose, i.e. the estimated money value of land is the indicator of determining the road‐effect on surrounding areas. Since a great number of factors affects the value of these land plots, in order to determine the road‐effect for highways, the authors developed economic and statistical models for expert value of land plots with various designated purpose using the method of multiple regression analysis. After substituting different values of distances to a highway within the road‐effect zone in the model, the researchers established the patterns of change in the value of land plots with various designated purpose and calculated the adjustment factors that can be used in the pecuniary valuation of land plots. The value of such coefficients for residential construction land is 0.85–1.00; for commercial land it is 1.00–1.17; and for industrial land it is 1.00–1.01.
{"title":"Study on the Influence of Roadways on Land Plots according to the Results of Monetary Evaluation","authors":"Roman Shulgan, O. Yanchuk, Olha Pakharenko, A. Pryshchepa","doi":"10.7494/GEOM.2021.15.3.5","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.3.5","url":null,"abstract":"The paper examines the impact of highways of urban significance on surrounding areas. The authors substantiated the size of the road‐effect zone. In order to determine the quantitative extent of the impact of highways on surrounding areas, the scholars applied the data regarding the selling prices of land plots with various designated purpose, i.e. the estimated money value of land is the indicator of determining the road‐effect on surrounding areas. Since a great number of factors affects the value of these land plots, in order to determine the road‐effect for highways, the authors developed economic and statistical models for expert value of land plots with various designated purpose using the method of multiple regression analysis. After substituting different values of distances to a highway within the road‐effect zone in the model, the researchers established the patterns of change in the value of land plots with various designated purpose and calculated the adjustment factors that can be used in the pecuniary valuation of land plots. The value of such coefficients for residential construction land is 0.85–1.00; for commercial land it is 1.00–1.17; and for industrial land it is 1.00–1.01.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45403709","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}
Pub Date : 2021-04-27DOI: 10.7494/GEOM.2021.15.3.81
Surender Kumar, Ripudaman Singh
Timely and accurate detection of land use/land cover (LULC) change is im‐ portant for the macro and micro level sustainable development of any region. For this purpose, geospatial techniques are the best tool for change analysis as they supply timely, cheaper, precise and up to date information. This paper examines the spatial temporal change trend in LULC in the case of Central Haryana. Landsat 2, 3, 5, 7 and 8 images for the years 1975–2020 for pre‐ and post‐monsoon periods were analyzed for the study. Radiometric correction was performed to derive better information. ArcGIS 10.2 and ENVI 5.3 are used for thematic layout and thematic change preparation. An unsupervised clas‐ sification using ERDAS IMAGINE 2015 has also been done to classify study area in eight classes. The year 1975 is considered as the base year for change detection analysis. Results showed an increasing trend for the land use classes of built‐up, water body, and agricultural land without waterlogging in the pre‐ and post‐monsoon periods between 1975 and 2020. Remaining land use classes of agriculture with waterlogging, open waterlogged area, vegetation and fal‐ low land/sand dunes decreased during the same period. Increased human ac‐ tivities have changed the LULC in the region and have had a great impact on its sustainable regional development.
{"title":"Geospatial Applications in Land Use/Land Cover Change Detection for Sustainable Regional Development: The Case of Central Haryana, India","authors":"Surender Kumar, Ripudaman Singh","doi":"10.7494/GEOM.2021.15.3.81","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.3.81","url":null,"abstract":"Timely and accurate detection of land use/land cover (LULC) change is im‐ portant for the macro and micro level sustainable development of any region. For this purpose, geospatial techniques are the best tool for change analysis as they supply timely, cheaper, precise and up to date information. This paper examines the spatial temporal change trend in LULC in the case of Central Haryana. Landsat 2, 3, 5, 7 and 8 images for the years 1975–2020 for pre‐ and post‐monsoon periods were analyzed for the study. Radiometric correction was performed to derive better information. ArcGIS 10.2 and ENVI 5.3 are used for thematic layout and thematic change preparation. An unsupervised clas‐ sification using ERDAS IMAGINE 2015 has also been done to classify study area in eight classes. The year 1975 is considered as the base year for change detection analysis. Results showed an increasing trend for the land use classes of built‐up, water body, and agricultural land without waterlogging in the pre‐ and post‐monsoon periods between 1975 and 2020. Remaining land use classes of agriculture with waterlogging, open waterlogged area, vegetation and fal‐ low land/sand dunes decreased during the same period. Increased human ac‐ tivities have changed the LULC in the region and have had a great impact on its sustainable regional development.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49629570","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}
Pub Date : 2021-04-27DOI: 10.7494/GEOM.2021.15.3.23
A. Kowalczyk
The study examines the possibility of applying the selected components of the theory of six value aggregation paths in designing walking pathways. Based on spatial data collected using a landscape assessment method on the aesthetic values of the landscape of the place under analysis, a model was developed of the network of links of the landscape aesthetic value using a minimum increase in this value. The authors designed scenarios for the optimal routes of walking pathways. The conducted study leads to the conclusion that the minimum value increase path may create a good basis for designing walking pathways. Not only is this manifested in the varied route of the pathway, but also in it being designed in such a way that the landscape’s aesthetic value increases beyond an assumed level of aesthetic value. In addition, the use of hexagonal basic fields enables the design of various route lengths and the optimization of time by adapting the model to a specific group of recipients.
{"title":"Designing Walking Pathways for a Tourist Resort with the Theory of Six Value Aggregation Paths","authors":"A. Kowalczyk","doi":"10.7494/GEOM.2021.15.3.23","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.3.23","url":null,"abstract":"The study examines the possibility of applying the selected components of the theory of six value aggregation paths in designing walking pathways. Based on spatial data collected using a landscape assessment method on the aesthetic values of the landscape of the place under analysis, a model was developed of the network of links of the landscape aesthetic value using a minimum increase in this value. The authors designed scenarios for the optimal routes of walking pathways. The conducted study leads to the conclusion that the minimum value increase path may create a good basis for designing walking pathways. Not only is this manifested in the varied route of the pathway, but also in it being designed in such a way that the landscape’s aesthetic value increases beyond an assumed level of aesthetic value. In addition, the use of hexagonal basic fields enables the design of various route lengths and the optimization of time by adapting the model to a specific group of recipients.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44530929","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}
Pub Date : 2021-04-27DOI: 10.7494/GEOM.2021.15.3.55
Cheikh Tidiane Koulibaly, J. Ayoade
This paper is aimed at analyzing the phenomenon of shoreline retreat in the locality of Rufisque from 1978 to 2018 mainly using geospatial data and field visits. A set of Landsat images from different dates at 10 year intervals was then acquired through the United States Geological Survey platform and shoreline change analysis was run using the Digital Shoreline Analysis System. In addition to that desktop work, interactions with local residents allowed the determination of ongoing adaptation strategies actually in place to cope with coastal erosion. The study showed that Rufisque is subject to serious rates of erosion reaching −19.48 m/year from 1978–1988, close to −8 m/year from 1988–1998, −5.88 m/year from 1998–2008 and −6.67 m/year from 2008–2018. Beside that coastal erosion, it has been noticed that the coastline also experienced in some of its parts cases of accretion reaching 4.94 m/year for 1988–1998, 7.29 m/year from 1998–2008 and 7.68 m/year during the period 2008–2018. In terms of surfaces, Rufisque’ shoreline respectively lost 156.81 ha (1978–1988), 80.55 ha (1988–1998), 6.94 ha (1998–2008), 12.93 ha (2008–2018) and in the same note gained 2.86 ha (1988–1998), 32.51 ha (1998–2008) and 19.16 ha (2008–2018) attesting to the fact that the coastline is subject to both spatiotemporal changes. Finally, this study also reveals that while authorities’ reaction is taking place at much lower pace, local communities are actually using their ingenuity to put in place strategies to tackle coastal erosion.
{"title":"The Application of GIS and Remote Sensing in a Spatiotemporal Analysis of Coastline Retreat in Rufisque, Senegal","authors":"Cheikh Tidiane Koulibaly, J. Ayoade","doi":"10.7494/GEOM.2021.15.3.55","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.3.55","url":null,"abstract":"This paper is aimed at analyzing the phenomenon of shoreline retreat in the locality of Rufisque from 1978 to 2018 mainly using geospatial data and field visits. A set of Landsat images from different dates at 10 year intervals was then acquired through the United States Geological Survey platform and shoreline change analysis was run using the Digital Shoreline Analysis System. In addition to that desktop work, interactions with local residents allowed the determination of ongoing adaptation strategies actually in place to cope with coastal erosion. The study showed that Rufisque is subject to serious rates of erosion reaching −19.48 m/year from 1978–1988, close to −8 m/year from 1988–1998, −5.88 m/year from 1998–2008 and −6.67 m/year from 2008–2018. Beside that coastal erosion, it has been noticed that the coastline also experienced in some of its parts cases of accretion reaching 4.94 m/year for 1988–1998, 7.29 m/year from 1998–2008 and 7.68 m/year during the period 2008–2018. In terms of surfaces, Rufisque’ shoreline respectively lost 156.81 ha (1978–1988), 80.55 ha (1988–1998), 6.94 ha (1998–2008), 12.93 ha (2008–2018) and in the same note gained 2.86 ha (1988–1998), 32.51 ha (1998–2008) and 19.16 ha (2008–2018) attesting to the fact that the coastline is subject to both spatiotemporal changes. Finally, this study also reveals that while authorities’ reaction is taking place at much lower pace, local communities are actually using their ingenuity to put in place strategies to tackle coastal erosion.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47653194","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}
Pub Date : 2021-02-04DOI: 10.7494/GEOM.2021.15.1.23
Natsag Burmaa, Ganbaatar Baasanjav
A primary goal of the article is to explore the theoretical understanding among scholars about how institutional arrangements for sustainable local development partnerships in mineral resource‑rich countries are created. A success factor for implementing sustainable development goals (SDGs) is creating a prop‑ er institutional arrangement.Interviews and questionnaires, a mixed research method, were completed with officials and citizens from selected provinces. We reached to the following results: among others there is a weak understanding of partnership‑related local community development among stakeholders. Therefore, long term strategic planning and management which involves all parties in the decision‑making process should be created. In addition, building both horizontal and vertical institutional arrangements that provide for the participation of related stakeholders is an essential element for building successful and sustainable local development partnerships.
{"title":"Developing Institutional Arrangements for Sustainable Development within Mineral Rich Resource Countries: the Case of Mongolia","authors":"Natsag Burmaa, Ganbaatar Baasanjav","doi":"10.7494/GEOM.2021.15.1.23","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.1.23","url":null,"abstract":"A primary goal of the article is to explore the theoretical understanding among scholars about how institutional arrangements for sustainable local development partnerships in mineral resource‑rich countries are created. A success factor for implementing sustainable development goals (SDGs) is creating a prop‑ er institutional arrangement.Interviews and questionnaires, a mixed research method, were completed with officials and citizens from selected provinces. We reached to the following results: among others there is a weak understanding of partnership‑related local community development among stakeholders. Therefore, long term strategic planning and management which involves all parties in the decision‑making process should be created. In addition, building both horizontal and vertical institutional arrangements that provide for the participation of related stakeholders is an essential element for building successful and sustainable local development partnerships.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71332989","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}
Pub Date : 2021-02-04DOI: 10.7494/GEOM.2021.15.1.63
S. Gruszczyński
Using the Land Use and Coverage Frame Survey (LUCAS) database of European soil surface layer properties, statistical and machine learning predictive models for several key soil characteristics (clay content, pH in CaCl2, concentration of organic carbon, calcium carbonates and nitrogen and exchange cations capacity) were compared on the basis of processing their spectral responses in the visible (Vis) and near‑infrared (NIR) parts. Standard methods of relationship modeling were used: stepwise regression, partial least squares regression and linear regression with input data obtained from principal components analysis. Using the inputs extracted by statistical algorithms various machine learning algorithms were used in the modeling. The usefulness of the models was analyzed by comparison with the values of the determination coefficients, the root mean square error and the distribution of residual values. The mean square error of estimation in the cross‑validation procedure for the stack model using the multilayer perceptron and the distributed random forest were as follows: for clay content – ca. 4.5%; for pH – ca. 0.35; for SOC – ca. 7.5 g/kg (0.75% by weight); for CaCO3 content – ca. 19 g/kg; for N content – ca. 0.50 g/kg; and for CEC – ca. 3.5 cmol(+)/kg.
{"title":"An Evaluation of Some Machine Learning Algorithms as Tools for Predicting Soil Characteristics Based on Their Spectral Response in the Vis‑NIR Range","authors":"S. Gruszczyński","doi":"10.7494/GEOM.2021.15.1.63","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.1.63","url":null,"abstract":"Using the Land Use and Coverage Frame Survey (LUCAS) database of European soil surface layer properties, statistical and machine learning predictive models for several key soil characteristics (clay content, pH in CaCl2, concentration of organic carbon, calcium carbonates and nitrogen and exchange cations capacity) were compared on the basis of processing their spectral responses in the visible (Vis) and near‑infrared (NIR) parts. Standard methods of relationship modeling were used: stepwise regression, partial least squares regression and linear regression with input data obtained from principal components analysis. Using the inputs extracted by statistical algorithms various machine learning algorithms were used in the modeling. The usefulness of the models was analyzed by comparison with the values of the determination coefficients, the root mean square error and the distribution of residual values. The mean square error of estimation in the cross‑validation procedure for the stack model using the multilayer perceptron and the distributed random forest were as follows: for clay content – ca. 4.5%; for pH – ca. 0.35; for SOC – ca. 7.5 g/kg (0.75% by weight); for CaCO3 content – ca. 19 g/kg; for N content – ca. 0.50 g/kg; and for CEC – ca. 3.5 cmol(+)/kg.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43615339","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}
Pub Date : 2021-02-04DOI: 10.7494/GEOM.2021.15.1.111
E. Tunç, Awet Tekeste Tsegai, Sevil Çelik
Agricultural land use and land cover dynamics were investigated in the Araban district of Turkey during the periods 1984–2019 by the use of Remote Sensing and Geographic Information Systems (GIS). Landsat‑TM and Landsat‑TIRS / OLI satellite imageries were used to determine land use and land cover changes. Using unsupervised classification method of ERDAS 8.3 software, three main agricultural activities were identified namely irrigated farming, dry farming, and horticultural / garden farming. The analysis has revealed that during the last three decades dry farming has decreased significantly by 14.69% (3802.14 ha) whereas horticultural/garden crops and irrigated farming lands have increased by 11.32% (667.19 ha) and 2.51% (2929.41 ha) respectively. Araban has been under intensive agricultural use due to its fertile soil and preference for horticultural crops such as pistachio, grapes and olives that provide more profit over dry farming crops such as wheat and barley has changed land use. Decrease in dry farming in a semi‑arid climate where Araban is located, has a potential ecological consequence, including a rapid drop of groundwater level, drying of wetlands and the disappearance of the biodiversity, thus, a necessary measures should be taken to implement an environmentally friendly, sustainable agriculture and settlement plan.
{"title":"Analysis of Spatial-Temporal Changes of Agricultural Land Use During the Last Three Decades in the Araban District of Turkey Using Remote Sensing","authors":"E. Tunç, Awet Tekeste Tsegai, Sevil Çelik","doi":"10.7494/GEOM.2021.15.1.111","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.1.111","url":null,"abstract":"Agricultural land use and land cover dynamics were investigated in the Araban district of Turkey during the periods 1984–2019 by the use of Remote Sensing and Geographic Information Systems (GIS). Landsat‑TM and Landsat‑TIRS / OLI satellite imageries were used to determine land use and land cover changes. Using unsupervised classification method of ERDAS 8.3 software, three main agricultural activities were identified namely irrigated farming, dry farming, and horticultural / garden farming. The analysis has revealed that during the last three decades dry farming has decreased significantly by 14.69% (3802.14 ha) whereas horticultural/garden crops and irrigated farming lands have increased by 11.32% (667.19 ha) and 2.51% (2929.41 ha) respectively. Araban has been under intensive agricultural use due to its fertile soil and preference for horticultural crops such as pistachio, grapes and olives that provide more profit over dry farming crops such as wheat and barley has changed land use. Decrease in dry farming in a semi‑arid climate where Araban is located, has a potential ecological consequence, including a rapid drop of groundwater level, drying of wetlands and the disappearance of the biodiversity, thus, a necessary measures should be taken to implement an environmentally friendly, sustainable agriculture and settlement plan.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46749436","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}
Pub Date : 2021-02-04DOI: 10.7494/GEOM.2021.15.1.97
D. Kwasniak, S. Cellmer
The increasing number of satellites provides new opportunities. In the experiment presented in this paper, the Single Point Positioning technique is tested. Data from four different receivers were used in the tests. The GPS, Galileo and BeiDou System observations were collected over a three day long observational session. The computational process was carried out using self‑made software and point positions were obtained as the result. The goal of the test was to verify the impact of the Inter‑System Bias (ISB) on the final results. For this purpose, two cases of processing data were compared: with estimating ISB and without taking into account this parameter. In the paper the formulas of the mathematical models used are presented and, in both of the considered cases, a combination of GPS, BDS and Galileo was used. The results show that in the case where the ISB was taken into account, the accuracy and precision in the positioning was much better than in the approach where the ISB was not considered. Estimating the ISB allows for more precise positioning results to be obtained for car-navigation or GIS purposes.
{"title":"Incorporating Inter-System Bias in Single Point Positioning Based on GPS, Galileo and BeiDou System","authors":"D. Kwasniak, S. Cellmer","doi":"10.7494/GEOM.2021.15.1.97","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.1.97","url":null,"abstract":"The increasing number of satellites provides new opportunities. In the experiment presented in this paper, the Single Point Positioning technique is tested. Data from four different receivers were used in the tests. The GPS, Galileo and BeiDou System observations were collected over a three day long observational session. The computational process was carried out using self‑made software and point positions were obtained as the result. The goal of the test was to verify the impact of the Inter‑System Bias (ISB) on the final results. For this purpose, two cases of processing data were compared: with estimating ISB and without taking into account this parameter. In the paper the formulas of the mathematical models used are presented and, in both of the considered cases, a combination of GPS, BDS and Galileo was used. The results show that in the case where the ISB was taken into account, the accuracy and precision in the positioning was much better than in the approach where the ISB was not considered. Estimating the ISB allows for more precise positioning results to be obtained for car-navigation or GIS purposes.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47261099","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}
Pub Date : 2021-01-01DOI: 10.7494/GEOM.2021.15.2.5
B. Bakri, Khaeryna Adam, Amran Rahim
In this study, we model extreme rainfall to study the high rainfall events in the province of South Sulawesi, Indonesia. We investigated the effect of the El Nino South Oscillation (ENSO), Indian Ocean Dipole Mode (IOD), and Mad‐ den–Julian Oscillation (MJO) on extreme rainfall events. We also assume that events in a location are affected by events in other nearby locations. Using rain‐ fall data from the province of South Sulawesi, the results showed that extreme rainfall events are related to IOD and MJO.
{"title":"Spatio‑Temporal Model of Extreme Rainfall Data in the Province of South Sulawesi for a Flood Early Warning System","authors":"B. Bakri, Khaeryna Adam, Amran Rahim","doi":"10.7494/GEOM.2021.15.2.5","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.2.5","url":null,"abstract":"In this study, we model extreme rainfall to study the high rainfall events in the province of South Sulawesi, Indonesia. We investigated the effect of the El Nino South Oscillation (ENSO), Indian Ocean Dipole Mode (IOD), and Mad‐ den–Julian Oscillation (MJO) on extreme rainfall events. We also assume that events in a location are affected by events in other nearby locations. Using rain‐ fall data from the province of South Sulawesi, the results showed that extreme rainfall events are related to IOD and MJO.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71332935","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}
Pub Date : 2021-01-01DOI: 10.7494/GEOM.2021.15.2.59
Olga Matuk
The real estate cadastre is the primary source of information on land use. It re‐ cords information related to the division of land into types based on the actual way of land use or development. The distinguished types of land use depend on many geographical factors, as well as historical and economic conditions. The study presents a comparison of the detail of land use classification regis‐ tered in the real estate cadastre in areas functionally related to the urban areas of 9 European countries: Austria, Bulgaria, the Czech Republic, Estonia, Spain, Lithuania, Luxembourg, Germany and Poland. The research concerned the determination of the degree to which the classifica‐ tion of land use in urbanized areas is detailed, whether the studied European countries are characterized by the same number of distinguished classes of ob‐ jects at different levels of detail, and what percentage are the distinguished classes of land use objects in urbanized areas in relation to all of the distin‐ guished classes of objects land use at different levels of detail of classification. The study used legal acts regulating land use issues which have been made available in national languages by government institutions.
{"title":"A Comparison of Land Use Classifications in Urbanized Areas in Selected European Countries","authors":"Olga Matuk","doi":"10.7494/GEOM.2021.15.2.59","DOIUrl":"https://doi.org/10.7494/GEOM.2021.15.2.59","url":null,"abstract":"The real estate cadastre is the primary source of information on land use. It re‐ cords information related to the division of land into types based on the actual way of land use or development. The distinguished types of land use depend on many geographical factors, as well as historical and economic conditions. The study presents a comparison of the detail of land use classification regis‐ tered in the real estate cadastre in areas functionally related to the urban areas of 9 European countries: Austria, Bulgaria, the Czech Republic, Estonia, Spain, Lithuania, Luxembourg, Germany and Poland. The research concerned the determination of the degree to which the classifica‐ tion of land use in urbanized areas is detailed, whether the studied European countries are characterized by the same number of distinguished classes of ob‐ jects at different levels of detail, and what percentage are the distinguished classes of land use objects in urbanized areas in relation to all of the distin‐ guished classes of objects land use at different levels of detail of classification. The study used legal acts regulating land use issues which have been made available in national languages by government institutions.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71332556","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}
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