{"title":"SYSTEMS OF IMAGE PROCESSING IN THE SOLUTION OF VARIOUS GEOGRAPHICAL PROBLEMS","authors":"A. Kitov","doi":"10.1080/07493878.1999.10642118","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642118","url":null,"abstract":"A general conceptual paper explores the use of diverse remote sensing images (and their derivative products) in the solution of applied problems in geographic research. Of particular interest is the description of the types of imagery currently in use in Russia given the limited financial resources available during the country's economic transition. Also important is information on the types of procedures currently employed in image processing. A series of sample applications is described. Translated by Edward Torrey, Alexandria, VA from: Geografiya i prirodnyye resursy, 1998, No. 4, pp. 103-112.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122384732","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":"POST-FIRE INVENTORIES OF FORESTED AREAS WITH SATELLITE DATA","authors":"V. Romas'ko, V. Kashkin, A. Sukhinin","doi":"10.1080/07493878.1999.10642120","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642120","url":null,"abstract":"The possibility of using NOAA satellite imagery with a resolution of 1.1 km for estimating the extent of burned-over areas and their age, degree of forest regeneration, and possibility of dating of past fire events is demonstrated. The results of classification by the maximum likelihood, minimum distance, and cluster analysis (multidimensional histograms) methods are presented.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133418833","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":"REMOTE SENSING-BASED MONITORING OF GEOSYSTEMS USING MORPHOMETRIC METHODS","authors":"B. Vinogradov","doi":"10.1080/07493878.1999.10642124","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642124","url":null,"abstract":"A Russian geographer assesses past experience with (and potential applications of) the principles and methods of landscape morphometry in the remote sensing-based monitoring of geosystems. Considerable attention is devoted to methods of calculating indices measuring the shape, nonuniformity, relative location, proximity, connectivity, and fractal dimensions of strips and patches—two basic types of forms found on remote sensing imagery. Translated by Edward Torrey, Alexandria, VA 22308 from: Geografiya i prirodnyye resursy, 1998, No. 4, pp. 97-103.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125065334","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}
A. R. Batuyev, A. Buyantuyev, L. Korytnyy, L. Plastinin, V. Snytko
{"title":"MAPS OF USE OF THE ENVIRONMENT IN THE BURYAT REPUBLIC","authors":"A. R. Batuyev, A. Buyantuyev, L. Korytnyy, L. Plastinin, V. Snytko","doi":"10.1080/07493878.1999.10642121","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642121","url":null,"abstract":"A team of Russian geographers describes the development of a program for mapping land use/resource development and the condition of the environment in Russia's Buryat Republic. Three ecological maps recently compiled in the Republic, using a single cartographic base and employing standardized methods, are described. The last such map is a map of environmental use that reflects both a resource-development and an environmental-protection perspective. The article includes detailed examples of the legend of the latter map. Translated by Edward Torrey, Alexandria, VA from: Geografiya i prirodnyye resursy, 1998, No. 3, pp. 23-29.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122645712","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}
V. Zakrutkin, M. M. Ryshkov, M. I. Kizitskiy, T. A. Smagina, D. Shishkina, Ye. M. Tsvylev, A. A. Kozhin, L. N. Larina
{"title":"ECOLOGICAL ATLAS OF ROSTOV OBLAST: STRUCTURE, CONTENT, AND METHODS OF ASSESSMENT","authors":"V. Zakrutkin, M. M. Ryshkov, M. I. Kizitskiy, T. A. Smagina, D. Shishkina, Ye. M. Tsvylev, A. A. Kozhin, L. N. Larina","doi":"10.1080/07493878.1999.10642122","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642122","url":null,"abstract":"A method for geoecological mapping at a scale of 1:500,000 was developed and tested. All 104 atlas maps were compiled by applying the same principles—use of the administrative district (rayon) as the effective statistical unit and a scale-unit (interval-level) assessment of each criterion. The atlas maps are grouped in five blocks characterizing the natural-economic features of the territory, the human pressure exerted upon it, pollution and degradation of the environment, demographic conditions, and health status of the population. The composite block “Ecological Assessment and Regionalization” includes a series of special assessment maps and a final integrated map. Translated by Edward Torrey, Alexandria, VA from: Izvestiya Akademii Nauk, seriya geografi-cheskaya, 1999, No. 1, pp. 88-95.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125431611","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":"REMOTE SENSING ANALYSIS OF ENVIRONMENTAL CONDITIONS IN SIBERIAN CITIES","authors":"T. Konovalova","doi":"10.1080/07493878.1999.10642111","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642111","url":null,"abstract":"Applications of remote sensing technology to derive information about environmental conditions in the cities of southern East Siberia are described. Initial sections outline the general applications of space imagery in the study of natural and human-modified landscapes. A subsequent section of the paper addresses the specific problem of urban ecology in cities in Irkutsk Oblast and how these are being analyzed through the use of a variety of remote sensing devices. Translated by Edward Torrey, Alexandria, VA from: Geografiya i prirodnyye resursy, 1998, No. 4, pp. 113-121.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"44 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120843900","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":"SEASONAL CHANGES IN SPECTRAL BRIGHTNESS OF AGRICULTURAL CROPS AS A FUNCTION OF CHLOROPHYLL CONTENT AND PLANT CONDITIONS","authors":"A. F. Sid’ko, A. Shevyrnogov","doi":"10.1080/07493878.1999.10642110","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642110","url":null,"abstract":"The results of multiyear research on the condition of agricultural crops are analyzed on the basis of data on the reflectance of plants during their growing season. A universal method is proposed for assessing the physiological state and content of plant pigments on the basis of the chlorophyll potential S(t) in the red absorption band λ = 680 nm, as determined from spectral brightness coefficients.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130076337","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":"AIR PHOTOS IN MAPPING WILD FOREST BERRY RESOURCES","authors":"V. Kositsyn","doi":"10.1080/07493878.1999.10642114","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642114","url":null,"abstract":"A Russian researcher explores the potential use of intermediate-scale air photos in the inventory and mapping of wild berry resources in the forests of northern Russia. More specifically, the focus is on the use of indirect interpretation keys to identify overgrowths of cloudberry (Rubus chamaemorus L.), one of the more commercially important species, on both black-and-white and color photos. The paper also investigates indirect keys that can be used in the interpretation of yields of wild berry plants. Translated by Edward Torrey, Alexandria, VA from: Geografiya i prirodnyye resursy, 1998, No. 3, pp. 96-98.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116616725","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 EARTH'S NATURE AND RESOURCES: A COMPREHENSIVE GEOGRAPHICAL ATLAS OF THE WORLD","authors":"A. A. Lyutyy","doi":"10.1080/07493878.1999.10642116","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642116","url":null,"abstract":"A prominent Russian cartographer reviews a recently published comprehensive atlas on The Earth's Nature and Resources, in whose preparation a major role was played by personnel of the Institute of Geography of the Russian Academy of Sciences. In the review, he devotes particular attention to the contributions of the atlas in supplementing a series of basic Russian atlases with global coverage, and in further developing the principles of comprehensive mapping. Translated by Edward Torrey, Alexandria VA from: Izvestiya Akademii Nauk. seriya geograficheskaya, 1998, No. 5, pp. 24-29.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680954","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}
V. Melentyev, V. Chernook, K. Kondratyev, O. Johannessen
{"title":"RADAR IMAGERY IN THE STUDY OF ICE-COVER CHANGES AND HARP SEAL MIGRATION IN THE WHITE SEA","authors":"V. Melentyev, V. Chernook, K. Kondratyev, O. Johannessen","doi":"10.1080/07493878.1999.10642112","DOIUrl":"https://doi.org/10.1080/07493878.1999.10642112","url":null,"abstract":"An international team of researchers describes applications of radar imagery from the ERS-2 satellite in ice-cover monitoring in regions of whelping of the harp seal in the White Sea (February-March 1997). Among parameters relevant to the ecology of the harp seal that can be determined more effectively with radar imagery are ice age and continuity, position and condition of shore-ice edge, and direction of drift of ice fields. Examples of practical use of such imagery in regions of reproduction and migration of sea mammals are presented and comparisons with aerial imagery in visible and infrared wavelengths are made.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122147830","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}