InterCarto InterGIS最新文献

{"title":"Unmanned aerial survey in the summer season of the 67th Russian antarctic expedition","authors":"I. Florinsky","doi":"10.35595/2414-9179-2022-1-28-284-304","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-284-304","url":null,"abstract":"The use of unmanned aerial systems (UAS) in glaciology and cryology, as well as studying and monitoring of polar regions is one of the most rapidly developing areas of the unmanned aerial industry. An aerial photogeodetic team of the 67th Russian Antarctic Expedition (RAE) solved two main interrelated tasks: 1) field tests of the newest Russian UAS Geoscan 701 in Antarctic conditions and 2) carrying out unmanned aerial surveys of two Antarctic territories, characterized by fundamentally different natural conditions, in order to obtain their high-precision orthomosaics and digital elevation models (DEMs) of an ultra-high resolution. On 15 January 2022, we carried out an unmanned aerial survey of two adjacent Antarctic maritime oases Molodezhny and Vecherny and surrounding areas of the glacier (Enderby Land, East Antarctica). From 26 January to 16 February 2022, we performed an unmanned aerial survey of the Fildes Peninsula (the southwestern, free of ice cover portion of the King George Island, South Shetland Islands, West Antarctica). The survey was complicated by severe meteorological conditions (low clouds, fog, strong winds, and precipitation). Field tests of UAS Geoscan 701 have shown that the system can be successfully used for unmanned aerial survey in polar regions. After in-office photogrammetric processing of the obtained materials, orthomosaics and DEMs of the indicated territories will be obtained with a resolution of 10 and 25 cm, respectively. These will be used for creation of modern large-scale topographic maps, photographic maps, three-dimensional and geomorphometric modeling of these territories, as well as operational and scientific activities of the RAE.","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":"69898127","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":"Vegetation dynamics of the Norilsk industrial region under the influence of aerotechnogenic and natural factors","authors":"V. Kravtsova, O. Zheleznyy","doi":"10.35595/2414-9179-2022-1-28-325-345","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-325-345","url":null,"abstract":"This study focuses on the transformation of vegetation, degraded over vast areas due to industrial air pollution from the Norilsk metallurgical combine. To assess the current state of ecosystems, we employed a vegetation map that was compiled using median composites of summer imagery 2015–2021 from the Sentinel 2B satellite. The field data collected by a team of geographers from Moscow State University in 2021 was also considered. The analysis of the transformation of vegetation during the operation of the mining and smelting plant is based on a comparison of the vegetation map with the materials of field studies of the same team in 1997 and the vegetation classification based on Landsat images from 1995, taking into account earlier materials such as topographic maps of 1960 and 1977, and forest pathological surveys of the 1980s. For comparison with less detailed materials of previous years, the 2015–2021 map was transformed: similar mosaics of contours were identified on it. This provided the basis for identifying areas with a similar character of vegetation disturbance caused by industrial air pollution. Such areas were then combined into exposure profiles, which allowed us to analyze the transformation of vegetation at different distances and directions from the plant—in accordance with the prevalent winds. The successive replacement of dead forests by shrub and dwarf shrub tundra, degraded dwarf shrub tundra, and technogenic grassy and stony wastelands, as recorded by the 2015–2021 map, was revealed. The substitution series manifest themselves differently in various directions from the combine. Grassy and stony wastelands on sites of dead forests are common within a range from 3 km to the northeast to 10–15 km to the northwest and west and up to 25 km to the southeast of Norilsk. The development of vegetation observed during modern climate warming varies in different replacement zones of dead forests.","PeriodicalId":31498,"journal":{"name":"InterCarto InterGIS","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69898192","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 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":"Use of UAV Geoscan 201 for surveying a linear object of the Khiva–Urgench highway","authors":"O. Shukina, A. Ruziev, M. Ergashev","doi":"10.35595/2414-9179-2022-1-28-430-440","DOIUrl":"https://doi.org/10.35595/2414-9179-2022-1-28-430-440","url":null,"abstract":"The aim of this work is to perform a linear aerial survey of the Khiva–Urgench highway using the Geoscan 210 UAV, the results of which will create orthophotomaps at a scale of 1:1 000, which are necessary for designing bicycle and sidewalk paths along this route. Surveyors of the Applied Geodesy Department of UZGASHKLITI performed a field planned-altitude reference at this object. 48 control points were determined. Characteristic solid contours along the route were chosen as reference points. The binding of control points was carried out from the starting points of the State Geodetic Networks, using satellite receivers (SN 5242498595, 5243499034, 4827155394) in the RTK mode in a radial way, by the calibration method on the ground. The coverage area was 17.4 sq. km. Aerial photography was carried out at a height of 211 m by a Geoscan 201 unmanned aerial vehicle at a scale of 1:500 with a DSC RXIR digital camera with a focal length of 35 mm. Forward overlap of aerial photographs was 70 %, and lateral—50 %. 4 aerial routes were made at this facility, the photography basis was 42 m. The number of aerial photographs at the facility was 3 868 pieces, and the coverage of aerial photography was 300 m. The images and their EXIF files were georeferenced by performing field processing using the Geoscan Planner program. Before the start of field work, the GNSS receiver (Trimble R6) was installed at a known point on the ground and started in static mode (10 Hz). The aircraft has a GNSS receiver (Topcon) operating in fast static mode (10 Hz). The GNSS data on the ground and on board the aircraft are balanced. Image center coordinates are calculated from the base station GNSS receiver data using MAGNET Tools software. Then the data is imported into Agisoft Metashape software for automatic processing. In this case, the coordinates of the image centers were recalculated from the WGS-84 system into the SK-42 (Pulkovo 1942) system adopted in our country. The process of optimization and alignment of aerial photographs was carried out. After that, in order to obtain a high image quality, the orthophoto map was built using a height map built on the basis of a dense point cloud. The result of the work performed are orthophoto maps for the Khiva–Urgench highway, which will be used to design the location of bicycle and sidewalk paths.","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":"69898370","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":"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}