InterCarto InterGIS最新文献

{"title":"Geoinformation mapping of sor depression in the Northwestern Caspian","authors":"A. Berdengalieva, S. Shinkarenko, A. Vypritskiy","doi":"10.35595/2414-9179-2022-1-28-359-367","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-359-367","url":null,"abstract":"The article discusses the results of mapping sor depressions in the Sarpinskaya lowland based on geoinformation technologies and Sentinel-2 satellite data. The research area is subject to desertification processes, which are expressed in a decrease in the productivity and density of vegetation up to its complete destruction as a result of uncontrolled pasture loads and climatic fluctuations. The consequence of these processes is an increase in the area of shifting sands, intensification of dust storms and economic losses. For these reasons, it is extremely important to timely determine the centers of desertification in order to take measures to limit pasture loads on them and carry out phytomelioration. Satellite data are widely used to monitor desertification processes. However, the presence of natural areas devoid of vegetation due to their genesis—solonchaks and sors—is practically not considered. Attributing these categories to desertification is incorrect; for this reason, they should be mapped separately and not considered in the future. Sory (sor depressions) is a closed arid drainless landform with a temporary drying up reservoir. The area of sor depressions is constant; only the ratio of areas of water, salt crust, mud, and vegetation along the periphery changes. As the water dries up and forms a white salt crust during the growing season, the albedo of the sor surface increases, due to which they can be classified as lands subject to desertification in the classification of satellite images. In total, as a result of the work, about 7 thousand objects were identified: sors, solonchaks and dry ilmens with a total area of 143 thousand hectares. More than half of the total share of all depressions has an elongated shape in the sublatitudinal direction. Sor depressions with a depth of 1–2 m predominate compared to the surrounding area. There are also salt marshes that are not expressed in relief or rise up to 1 m above the surroundings. The results obtained can be used in geomorphological and soil studies and will also allow more accurate satellite monitoring of desertification processes in the region.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898260","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}

{"title":"Methodology for regional assessment of the third level digital inequality","authors":"O. Chereshnia, M. Gribok","doi":"10.35595/2414-9179-2022-1-28-43-57","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-43-57","url":null,"abstract":"The article describes and analyzes the three levels of digital inequality in society currently identified, and examines the world experience of their assessment. It is shown that the third level of digital inequality is the most difficult for research. It represents an uneven distribution of opportunities for obtaining important results in real life (employment, education, participation in political life, etc.) through the use of modern technologies. The authors have developed a methodology for the regional quantitative assessment of third-level digital inequality by analyzing the popularity of Google search query topics related to three categories: “Everyday services and services”, “Education, science and technology”, “Entertainment”. These categories are highlighted as markers for evaluating the effectiveness of Internet use by the population. At the same time, an increased search interest in entertainment indicates a lower efficiency of Internet use, and a higher interest in services and education. The indexes of popularity of search queries for each of the categories are calculated and then, based on them, an integral index of the efficiency of Internet use in the regions of Russia is calculated. Statistical data for the study were collected using the Google Trends service for 2016–2020. All calculated indicators are presented on maps, their territorial features are identified and described. The lowest level of Internet use efficiency is observed in the regions of the North Caucasus, and the highest is in the Republics of Tatarstan and Sakha (Yakutia), as well as in Moscow and St. Petersburg.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898374","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}

{"title":"Geoinformation analysis of the spatial variability of the Raikoke island (Kuril islands) geosystem","authors":"A. Verkhoturov, V. Melkiy","doi":"10.35595/2414-9179-2022-1-28-139-147","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-139-147","url":null,"abstract":"Volcanic eruptions significantly transform natural geosystems, which is most characteristic of components such as terrain, flora and fauna. The theoretical significance of this research lies in acquisition of new knowledge that contributes to a deeper understanding of response of natural environment to consequences of volcanic eruptions of various types and power. The practical significance is due to possibility of using the obtained results in substantiating assessment of volcanic hazard territories and compiling corresponding maps. Eruptions of the Raikoke volcano are rare, but all recorded facts of activity are characterized as strong, and significantly changed appearance of Raikoke Island. The research used satellite images from Sentinel-2 and Landsat satellites. Spatial dynamics of coastline was studied on the basis of synthesized images (NIR-SWIR-RED). In the research of vegetation transformation, time series of normalized relative vegetation index (NDVI) was used. We analysed the time course of changes in the area of Raikoke Island, the maximum and average NDVI values within its limits from 1972 to 2021, and also compiled a schematic map of the dynamics of the components of the geosystem of Raikoke Island. Grass and grass-shrub vegetation covered about 80 % of total area of island in 2018. The areas devoid of vegetation cover are confined to large mobile talus slopes, beach, marginal parts of lava flows around perimeter of the island, as well as large block mass collapse of crater floor. As of 2021, the closed vegetation cover occupies no more than 0.03 % of the island’s area and is fragmentally located in central part of southern slope, lower parts of eastern, northern and western slopes. An analysis of eruptive activity of the Raikoke volcano and the time course of NDVI suggests that it will take about 100 years for vegetation cover occupy an area comparable to area before eruption of 2019.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898388","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}

{"title":"Differentiation of priority ecosystem services of green infrastructure in Kirovsk (Murmansk region)","authors":"S. Belousov, A. Evseev, T. Krasovskaya","doi":"10.35595/2414-9179-2022-1-28-69-77","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-69-77","url":null,"abstract":"Various combinations of green infrastructure ecosystem services in Kirovsk (Murmansk Region), which included a city park and squares, are considered. These combinations differ depending on the local geoecological characteristics of green infrastructure elements. The following characteristics were considered: area, position in relief, nature of vegetation cover, surrounding residential areas, location of highways, etc. Depending on the combinations of these characteristics, priority sets of ecosystem services that form a comfortable living environment were determined. The traditional range of ecosystem services was typical only for the city park, where it included not only supporting, regulating, informational, but also provisioning ecosystem services—rare for urban green infrastructure. The identified combinations of ecosystem services were shown on the map. At the same time, the structure of information ecosystem services, which turned out to be among the priorities for most of the studied elements, was presented in detail using indexes. The conducted differentiation of ecosystem services enables to develop priority economic measures to maintain the most important ones that ensure comfortable living. For the city park, they include the largest list of activities: sanitary logging, removal of shrubby undergrowth, laying glades to enhance the aesthetics of landscapes and create viewpoints, laying ecological trails, etc. For small squares in the city center with priority information services, the first measure will be the arrangement of social space—lighting, benches, colorful flower beds, snow removal, etc. For squares with the priority of regulatory services management activities include the selection of wood species with the greatest noise and dust suppressing effect, windproof and anti-erosion functions.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898576","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}

{"title":"The social determinants of public health during the COVID-19 pandemic: an integrated assessment of Kaliningrad region data (municipal level)","authors":"A. Ogurtsov, V. Dmitriev","doi":"10.35595/2414-9179-2022-2-28-311-320","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-311-320","url":null,"abstract":"The issues of ensuring equality in the field of health and improving the level of public health have become more important than ever before at the present time. The reason for everything is the appearance and rapid spread of coronavirus infection (COVID-19). The scale of the epidemic, which covers countries and regions on all continents without exception, indicates its pandemic nature. In these conditions, as before, a key role in solving the issues raised is assigned to research on the social determinants of public health and their assessment. Research in this direction is carried out taking into account the multifactorial nature of social conditions on the basis of a component-by-component analysis of determinants and integral criteria. The article presents the results of the analysis of the incidence of COVID-19 in the first year (2020) of the pandemic on the scale of municipal urban districts of the Kaliningrad region. The ranking of the territory of urban districts by the level of morbidity was carried out. In general, municipalities with an average (10–15 cases per 1000 people) and a high (15–22 cases per 1000 people) incidence rate prevail among urban districts. The incidence rate of COVID-19 is compared with the composite indicator. The composite indicator (CI) acts as an integral criterion for assessing the favorability of social conditions for public health. The composite indicator is formed by additive “convolution” of eight parameters. The convolution procedure is carried out taking into account the assignment of the weight of individual indicators for non-numeric, inaccurate and incomplete information. The results of the spatial analysis of the composite indicator indicate the relative geographical diversity of assessments of social conditions at the level of urban districts. It is noted that the social environment in 15 out of 22 municipalities is characterized by unfavorable and the most unfavorable conditions for public health. At the municipal level, high values of the morbidity rate are usually associated with low values of the composite indicator. The results of spatial correlation analysis confirmed the existence of a negative relationship between the CP value and the incidence rate. The correlation coefficient is—0.46. Research on the social determinants of public health should be included in the list of priorities in the implementation of public health policy at the municipal level.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898749","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}

{"title":"Development of a geoinformation system for monitoring the reproduction of the Russian population","authors":"V.O. Esikova","doi":"10.35595/2414-9179-2022-2-28-203-216","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-203-216","url":null,"abstract":"In the last decades of the XX–XXI centuries. in Russia, the nature of the formation of the population as a whole in the country and in its regions in particular has changed. During the post-Soviet period, the country is undergoing a deep demographic crisis, depopulation processes have been actively developed. In this regard, it becomes relevant to conduct a study on monitoring the reproduction of the Russian population. Monitoring based on geographic information systems has a number of advantages in processing and interpreting a large array of spatial data. The article shows the experience of creating a conceptual scheme of a geoinformation monitoring system, methods of geoinformation modeling, formation of the structure of a spatial database, a necessary element of geoinformation monitoring. The conceptual scheme of the geoinformation monitoring system is based on the development of a geoinformation modeling technique, the creation of a spatial data base and the formation of a geoinformation monitoring structure. The creation of a geoinformation monitoring system is supposed to be based on the Esri ArcGis Online platform, a database management system (DBMS)—PostgreSQL 10. The geoinformation modeling technique used in the work includes the creation of a spatial database, building models in geoinformation systems, and analyzing the results of geomodeling. For geomodeling and the subsequent creation of maps, a number of the most common methods and methods are used: typological, the method of cartographic anamorphic images, the method of qualitative and quantitative background, methods of areas, cartograms, ranges of values, the method of movement of arrows, etc. The spatial database is a subsystem for geoinformation monitoring of regional features of the reproduction of the Russian population and is designed to collect, organize, store and update data. The possibilities of geoinformation systems for monitoring the reproduction of the Russian population, methods and methods of modeling in geoinformation systems are considered. As a result, a database of spatial data “Reproduction of the population in Russia” was created and a series of spatio-temporal models was built. The trends in the reproduction of the population of the post-Soviet period are analyzed with the identification of the main periods in the transformation of the reproduction of the population, a typology of regions is carried out, taking into account the ratio of natural and migration growth and their contribution to the dynamics of the total population.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898800","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}

{"title":"Analysis of the anti-deflation efficiency of field-protective forest plants in the dry zone of the Stavropol Krai","authors":"S. Antonov, S. Peregudov","doi":"10.35595/2414-9179-2022-2-28-843-858","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-843-858","url":null,"abstract":"The problem of soil degradation is widespread in many agricultural regions of our country. The Stavropol Territory, as one of the leading agricultural regions, is no exception. It is characterized by the presence of a number of factors influencing the destructive processes in the soil, the main of which are the increase in the anthropogenic load on the soil and the regional features of climate change. In this regard, the relevance of issues related to the development of comprehensive measures to combat degradation processes is increasing every year. A key element of these activities in the Stavropol Territory is the formation of a framework of protective forest plantations, which requires regular monitoring of both their safety and effectiveness. The study was conducted on the territory of the arid zone of the Stavropol Territory. In this zone, the observed regional climatic changes can cause significant damage to the soil cover and significantly reduce the efficiency of agricultural production. Here, the increase in climate extremeness is most acute—an increase in the likelihood of droughts and heavy rainfall. Due to the fact that protective forest plantations are located on vast areas, it is most rational to use modern data processing and visualization systems for their monitoring—geographic information systems and Earth remote sensing data. The author’s technique was considered in the work, which allows analyzing various characteristics for assessing the anti-deflation efficiency of field-protective forest plantations, such as the protective forest cover of the territory and interstrip distances. As part of the study, a technological mapping scheme was proposed based on the formation of a continuous hexagonal surface with data. The presented methodology and technological scheme can be adapted for any agricultural region, taking into account their characteristics.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899855","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}

{"title":"Evaluation of the possibility of vegetation interpretation on thermal infrared satellite images, case of the Southern Urals and Kuznetsk Alatau","authors":"M. Grishchenko, D. Lucher, M. Bocharnikov","doi":"10.35595/2414-9179-2022-1-28-496-507","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-496-507","url":null,"abstract":"The paper presents the results of the vegetation cover interpretation using multitemporal thermal satellite images of two mountain-steppe areas: in the Southern Urals (Abzelilovsky district of the Republic of Bashkortostan) and in Kuznetsk Alatau (Ust-Abakansky and Shirinsky districts of the Republic of Khakassia). These areas have a large amount of field data on vegetation, which allows for reliable verification of satellite data. On the basis of field data and images of high spatial resolution in the optical range, vegetation maps were compiled, which became the basis for further interpretation of thermal images—images of the TIRS sensor, Landsat 8 satellite, were used. Methods of controlled and uncontrolled classification were applied to multitemporal images. In the course of the study, it was possible to establish that, based on the results of vegetation interpretation using thermal satellite images for a site in the South Urals, it is possible to determine forest areas with good reliability (up to 50–70 %), and confidently draw the border between forest and treeless areas. With satisfactory accuracy (up to 44 %), petrophytic steppes are determined. The site in the Southern Urals is characterized by a small size of the territory, a low diversity of plant communities, and rather a large dependence of the intensity of thermal radiation on the exposure of slopes. The site in Kuznetsk Alatau showed more representative interpretation results. Larch and birch-larch forests (up to 70 %), fir and birch-fir forests (up to 56 %), dwarf birch and moss-lichen tundras (up to 49 %), and steppe vegetation (up to 45 %) are most confidently recognized.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69897953","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}

{"title":"Assessment of the geoecological state of small water currents in polder lands: methodological approach and cartographic support","authors":"S. Zotov, Y. Spirin","doi":"10.35595/2414-9179-2022-2-28-597-613","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-2-28-597-613","url":null,"abstract":"The watercourses of the Kaliningrad region are one of the most important natural components with a multi-purpose use. Unfortunately, their geoecological state is assessed as unsatisfactory due to the negative impact exerted on them. The region includes unique polder lands, the watercourses of which are highly vulnerable to negative natural and anthropogenic impacts. These watercourses are poorly researched, in the post-Soviet period they were not actually explored, which led to a lack of information in various scientific and practice-oriented areas. All of the above emphasizes the importance of conducting geoecological studies of the watercourses of the polder lands. The aim of the research is to assess the geoecological state of the basins of small watercourses in the polder lands of the Slavsky District with further cartographic visualization of its spatial differentiation. A methodical approach has been developed to obtain a geoecological indicator represented by a quantitative indicator of polluting chemicals in water, leveling the information deficit, by conjugated analysis of available, but very limited hydrological, hydrochemical and geoecological data. Formulas and calculated dependencies are obtained that allow one to find quantitative characteristics of pollution in the rivers of other polder regions, taking into account the designated limits of application. The spatial differentiation of the geo-ecological state of the basins of small watercourses in the Slavsky District was identified and mapped by 13 criteria, divided into interrelated groups: anthropogenic load, water quality, the territory’s ability to self-purify, transit capacity. The geoecological state of the researched watercourses and their watersheds is characterized as “highly stressed”: for the river. Osa—“very tense” (3.95 % of the land); for r. Zlaya—“tense” (5.93 % of land); in the basins of the Shlyuzovaya and Nemoninka rivers—“conflict” (38.96 % of land), the rest of the area—“highly stressed” (51.16 % of land).","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69899175","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}

{"title":"Methodology of constructive approach in geoinformation mapping of geographical environment","authors":"T. Kuznetsova","doi":"10.35595/2414-9179-2022-1-28-161-174","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-161-174","url":null,"abstract":"The methodology of a constructive approach to mapping the geographical environmentthe Baikal region is proposed, based on modern ideas about the spatial and functional organization of geosystems. The area of research and small-scale mapping is a cross-border territory located at the junction of four physical and geographical regions of the Eurasian continent, differingtheir natural conditions, factors and development processes. Natural structures are consideredgeographical spaces where all the components of nature are closely interconnected with each other and, as a certain integrity, interact with human society. This conceptually defined the structurephysical and geographical research as a procedure for preparing fundamental scientific knowledge about nature to solve targeted environmental problems. The methods of creating a spatialthematic structure of cartographic information are considered, which provide an idea of the object, its research procedures, and meet the requirements for the speed of processing, disseminationthis information using GIS technologies. The logical and methodological sequence of the research, constructive criteria that are uniform for the entire research process are discussed. The concept of “organization of geosystems” is considered in three senses: as a state of structural and spatial-hierarchical ordering of geosystems in a specific period of time, as a process of ordering natural formations as a result of spontaneous development (self-organization) and as ordering as a resulttargeted external influence (management). The parameters of geosystems are used as an information basis for creating estimated, forecast, recommendation maps of the natural environment. The methods were applied in the development of the “Geographical environment” cartographic module for“Baikal region: society and nature” electronic atlas. A fragment of the “Geoecological structuresthe Baikal region” map is demonstrated.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69897934","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}