Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s08.18
Andreea Begov Ungur, Maria Alexandra Barb
The purpose of law 165/2013 is the identification and inventory on topographic maps of all lands owned by the public or private domain of the state and the identification of lands that constitute the available reserve of the local land commission to complete the restitution process in nature or equivalent of the real estate abusively taken over during communism. This paper aims to present the steps in verification, validation, and correction of surface topological errors for works specific to law 165/2013 using Arc GIS program. In order to verify, validate and rectify the topology errors, at the end of the inventory and approval of the annexes from the norms, the surfaces that have been identified as available to be retraceable will be integrated in a GIS database.
{"title":"THE VERIFICATION, VALIDATION AND CORRECTION OF SURFACE TOPOLOGICAL ERRORS FOR WORKS SPECIFIC TO LAW 165/2013","authors":"Andreea Begov Ungur, Maria Alexandra Barb","doi":"10.5593/sgem2022/2.1/s08.18","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s08.18","url":null,"abstract":"The purpose of law 165/2013 is the identification and inventory on topographic maps of all lands owned by the public or private domain of the state and the identification of lands that constitute the available reserve of the local land commission to complete the restitution process in nature or equivalent of the real estate abusively taken over during communism. \u0000This paper aims to present the steps in verification, validation, and correction of surface topological errors for works specific to law 165/2013 using Arc GIS program. \u0000In order to verify, validate and rectify the topology errors, at the end of the inventory and approval of the annexes from the norms, the surfaces that have been identified as available to be retraceable will be integrated in a GIS database.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116495152","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 : 2022-11-15DOI: 10.5593/sgem2022/2.1/s11.52
V. Ciolac, C. Mihut, A. Okros, L. Dragomir, Diana-Alina Bodea
The main objective of the study is the analysis of the effects of the geological substrate and of the geomorphological diversity on the characteristics of the vegetation (the diversity of species, the diameter of the trees). The study area is made up of the Cioclovina karst area and the crystalline area near it, which are located in the Dacian Plateau in the ?ureanu Mountains. Within the study, a series of geomorphological variables were calculated to establish geomorphological heterogeneity, namely: slope, slope exposition, soil drainage, land humidity index, and water erosion power. These variables were calculated using the SAGA GIS program. After the variables were derived, they were divided into classes, transformed from raster into polygon and aggregated into a single layer using the union function, to get all variables in the attribute table. Subsequently, the layer resulting from the unification of the variables was, in turn, united by using the union function with a Grid with a 2-ha resolution made with the function Created fishnet. Finally, each cell of the grid was classified into high geomorphological heterogeneity or low geomorphological heterogeneity. These operations were performed in the ArcGIS Desktop program version 10.7.1. In the two analysis areas located in the ?ureanu Mountains, for areas with high/low morphological heterogeneity values correspond to values of diversity indices of high/low forest species. Within the analysis performed, the results between the correlation between geomorphological heterogeneity and diversity indices were different between the karst area and the crystalline area. In the karst area, the correlation between geomorphological heterogeneity and the Shannon index is positive. Also, in the karst area, the correlation between geomorphological heterogeneity and the dominance of species and that between species heterogeneity and the average diameter is negative. In the crystalline area, the correlation between geomorphological heterogeneity and the richness of species as well as that between heterogeneity and the Shannon diversity index is negative. The correlation between geomorphological heterogeneity and the dominance of species as well as between heterogeneity and the average diameter is positive, because the land humidity index is high.
{"title":"STUDIES REGARDING THE INFLUENCE OF THE GEOLOGICAL SUBSTRATUM ON VEGETATION USING MODERN METHODS","authors":"V. Ciolac, C. Mihut, A. Okros, L. Dragomir, Diana-Alina Bodea","doi":"10.5593/sgem2022/2.1/s11.52","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s11.52","url":null,"abstract":"The main objective of the study is the analysis of the effects of the geological substrate and of the geomorphological diversity on the characteristics of the vegetation (the diversity of species, the diameter of the trees). The study area is made up of the Cioclovina karst area and the crystalline area near it, which are located in the Dacian Plateau in the ?ureanu Mountains. Within the study, a series of geomorphological variables were calculated to establish geomorphological heterogeneity, namely: slope, slope exposition, soil drainage, land humidity index, and water erosion power. These variables were calculated using the SAGA GIS program. After the variables were derived, they were divided into classes, transformed from raster into polygon and aggregated into a single layer using the union function, to get all variables in the attribute table. Subsequently, the layer resulting from the unification of the variables was, in turn, united by using the union function with a Grid with a 2-ha resolution made with the function Created fishnet. Finally, each cell of the grid was classified into high geomorphological heterogeneity or low geomorphological heterogeneity. These operations were performed in the ArcGIS Desktop program version 10.7.1. In the two analysis areas located in the ?ureanu Mountains, for areas with high/low morphological heterogeneity values correspond to values of diversity indices of high/low forest species. Within the analysis performed, the results between the correlation between geomorphological heterogeneity and diversity indices were different between the karst area and the crystalline area. In the karst area, the correlation between geomorphological heterogeneity and the Shannon index is positive. Also, in the karst area, the correlation between geomorphological heterogeneity and the dominance of species and that between species heterogeneity and the average diameter is negative. In the crystalline area, the correlation between geomorphological heterogeneity and the richness of species as well as that between heterogeneity and the Shannon diversity index is negative. The correlation between geomorphological heterogeneity and the dominance of species as well as between heterogeneity and the average diameter is positive, because the land humidity index is high.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125721048","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 : 2022-11-15DOI: 10.5593/sgem2022/2.1/s09.28
N. Dimitrov, M. Atanasova
This paper covers the activities of creating a database for the study of modern crustal movements in the region of Sofia and Southwestern Bulgaria, including data from GNSS measurements of the geodynamic network and the results of their processing and analysis, data from permanent stations and archive data from Synthetic-aperture radar, processing and obtaining interferometric images. The local archive of GNSS measurement includes: manual sketches of the location of the points; log sheets of the measurement with information for the height of the antenna, start and end time of measurement and operator name; raw GNSS measurements and data in RINEX format. Data from permanent stations are extracted from external repositories such as IGS or SOPAC are also included in the archive. The local archive of interferometric images contains scenes from the Sentinel-1 satellite downloaded from the repository of the European Space Agency's Science Center. Data for a digital terrain model are extracted from external sources, such as SRTM or ASTER repositories are also included. In order of the envisaged integration with GNSS data, it should be borne in mind that both types of data must be in the same reference system. Measurement campaigns in the geodetic network are carried out in a certain period of time and these periods are used as reference, which allows comparisons to the information extracted from interferometric images. The available experience shows that there is a good correlation between the two types of data. The processing and analysis of the obtained results is another important part of the local archive. The database thus created contains important information and allows for a more accurate analysis of ongoing geodynamic processes in the study area and obtaining reliable information for better regional planning from local authorities.
{"title":"GEODETIC DATABASE FOR MONITORING OF GEODYNAMIC PROCESSES IN THE REGION OF SOFIA AND SOUTHWESTERN BULGARIA","authors":"N. Dimitrov, M. Atanasova","doi":"10.5593/sgem2022/2.1/s09.28","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s09.28","url":null,"abstract":"This paper covers the activities of creating a database for the study of modern crustal movements in the region of Sofia and Southwestern Bulgaria, including data from GNSS measurements of the geodynamic network and the results of their processing and analysis, data from permanent stations and archive data from Synthetic-aperture radar, processing and obtaining interferometric images. \u0000The local archive of GNSS measurement includes: manual sketches of the location of the points; log sheets of the measurement with information for the height of the antenna, start and end time of measurement and operator name; raw GNSS measurements and data in RINEX format. Data from permanent stations are extracted from external repositories such as IGS or SOPAC are also included in the archive. \u0000The local archive of interferometric images contains scenes from the Sentinel-1 satellite downloaded from the repository of the European Space Agency's Science Center. Data for a digital terrain model are extracted from external sources, such as SRTM or ASTER repositories are also included. In order of the envisaged integration with GNSS data, it should be borne in mind that both types of data must be in the same reference system. Measurement campaigns in the geodetic network are carried out in a certain period of time and these periods are used as reference, which allows comparisons to the information extracted from interferometric images. The available experience shows that there is a good correlation between the two types of data. \u0000The processing and analysis of the obtained results is another important part of the local archive. The database thus created contains important information and allows for a more accurate analysis of ongoing geodynamic processes in the study area and obtaining reliable information for better regional planning from local authorities.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127026432","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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