{"title":"REMOTE SENSING IMAGERY IN THE SEARCH FOR DIATREMES","authors":"D. V. Lopatin","doi":"10.1080/07493878.2001.10642179","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642179","url":null,"abstract":"The possibilities of using remote sensing imagery to locate and investigate diatremes within sedimentary strata of the East European Platform are examined. The principal problems encountered in this type of geological exploration are discussed and a scheme for focusing and increasing the efficiency of the search for productive bodies is presented. The main purpose of the study is the creation of an automated system of exploration for diatremes in sediment-covered platform areas.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117210580","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":"BIOCOMPLEXITY AND GLOBAL GEOGRAPHIC INFORMATION MONITORING","authors":"K. Kondratyev, V. Krapivin","doi":"10.1080/07493878.2001.10642181","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642181","url":null,"abstract":"The biocomplexity problem in the global “environment-society” system is examined from the point of view of the theory of complex hierarchical systems. The hierarchy of space and time scales is simulated in the terms of the quantity of information, diversity of elements, dynamic stability of biogeochemical cycles, and relations between sets of elements. A simulative-methodological model of biocomplexity dynamics based on the correlations between basic elements of the global “environment-society” system is constructed. The interrelationship among biocomplexity, stability, and viability criteria is analyzed. The possibility of computing a biocomplexity index via satellite monitoring is assessed.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123151348","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":"PREDICTIVE LANDSCAPE-ECOLOGICAL MAPPING OF A BOREAL ECOTONE ON THE RUSSIAN PLAIN","authors":"E. Kolomyts, V. P. Yunina","doi":"10.1080/07493878.2001.10642178","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642178","url":null,"abstract":"Two Russian geographers describe a method for compiling maps of anticipated environmental changes resulting from human climate-altering activity for vegetation associations in a broad zone of transition between taiga and broadleaved forests in central European Russia. The paper includes a portion of a map forecasting such changes to the year 2050. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2000, No. 4, pp. 7-13.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122449659","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}
N. Armand, V. Savorskiy, M. Smirnov, Y. Tishchenko
{"title":"STUDY OF THE EARTH'S NATURAL RESOURCES AND ENVIRONMENT ON THE RUSSIAN SEGMENT OF THE INTERNATIONAL SPACE STATION","authors":"N. Armand, V. Savorskiy, M. Smirnov, Y. Tishchenko","doi":"10.1080/07493878.2001.10642175","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642175","url":null,"abstract":"The priority tasks to be resolved using the remote sensing methods and instruments of the Russian segment of the International Space Station (ISS) are identified. In this work it is possible to use specialized instrumentation packages, developed as submodules delivered to specialized ISS modules. The specific nature of the research on remote sensing of the Earth and ecological monitoring (high speeds and volumes of the data transmitted from the station, relatively rigorous requirements for processing times, etc.) is governed by the high requirements of the surface system for the reception, processing, storage, and dissemination of space information.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"8 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120910287","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 METHODS FOR DETERMINING THE BOTTOM RELIEF OF COASTAL ZONES OF SEAS AND OCEANS","authors":"V. Bondur, Y. Grebenyuk","doi":"10.1080/07493878.2001.10642174","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642174","url":null,"abstract":"The authors describe methods for determining bottom topography in continental shelf zones from remote sensing imagery. Emphasis is on methods of remotely sensing bottom relief based on the transformation of short surface waves in currents flowing around and over underwater irregularities, variability in the dispersion of surface waves at finite depth, and refraction phenomena in shallow waters. Examples of assessments of bottom relief on the basis of airborne radar and images in visible wavelengths are given for different sea areas and these are compared with measurements made by traditional methods.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185874","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}
C. Cerri, J. Demattê, M. Ballester, L. Martinelli, R. Victoria, E. Roose
{"title":"GIS EROSION RISK ASSESSMENT OF THE PIRACICABA RIVER BASIN, SOUTHEASTERN BRAZIL","authors":"C. Cerri, J. Demattê, M. Ballester, L. Martinelli, R. Victoria, E. Roose","doi":"10.1080/07493878.2001.10642173","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642173","url":null,"abstract":"Remote sensing data, a GIS, and the Universal Soil Loss Equation model (USLE) are used to develop maps of erosion risk in the Piracicaba River basin, southeastern Brazil. The mapping program was designed to determine soil erosion losses under various land uses and the extent to which land use changes affected erosion risk during 1978–1993. To evaluate the latter, the USLE model was used to simulate erosion risk during January, the highest-precipitation month, in 1978 and 1993. This made it possible to identify the areas of highest erosion risk and to develop soil/water conservation countermeasures.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121924460","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}
D. I. Nazimova, N. Polikarpov, A. Sukhinin, Ye. V. Fedotova, V. I. Kharuk
{"title":"SATELLITE IMAGERY AND THE VERTICAL ZONATION OF VEGETATION IN THE MOUNTAINS OF SOUTHERN SIBERIA","authors":"D. I. Nazimova, N. Polikarpov, A. Sukhinin, Ye. V. Fedotova, V. I. Kharuk","doi":"10.1080/07493878.2001.10642177","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642177","url":null,"abstract":"A method of utilizing low-resolution AVHRR imagery for the purpose of mapping and otherwise conducting an inventory of altitudinal zones of arboreal forest vegetation in mountainous areas of southern Siberia is described. Vegetation classes identified using the method are compared with those derived from more traditional field-based methods. The effects of date (season) of imaging on the accuracy of the method are discussed. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2000, No. 4, pp. 117-123.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128924530","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 NORMALIZED DIFFERENCE VEGETATION INDEX IN THE STUDY OF THE PHENOLOGY AND SPECIES COMPOSITION OF SIBERIAN FORESTS","authors":"N. Kharin, V. M. Zhirin, R. Tateishi","doi":"10.1080/07493878.2001.10642176","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642176","url":null,"abstract":"Results of an experiment for using the normalized difference vegetation index (NDVI), computed from NOAA/AVHRR images with a resolution of 8 and 1 km for studying the phenology, structure, and species composition of the taiga forests of Siberia are presented. A study is made of NDVI dynamics on the basis of 10-day values, characterizing the principal phases of the seasonal development of the forest: green wave, peak of increase in phytomass, brown wave, and leafless state. A reliable determination of the species composition of forests in two groups—coniferous and broadleaf—is possible.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677651","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":"CARTOGRAPHIC SUPPORT IN REGIONAL MEDICAL-ECOLOGICAL STUDIES: THE EXAMPLE OF ALTAY KRAY, RUSSIA","authors":"I. A. Khlebovich, I. Rotanova","doi":"10.1080/07493878.2001.10642170","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642170","url":null,"abstract":"Two geographers describe a comprehensive program of cartographic support for medical-ecological studies of a specific Russian region, Altay Kray in West Siberia. Assessment of a wide variety of multi-scalar cartographic products reflecting diverse approaches to regionalization provides the data needed for a qualitative and quantitative characterization of medical-ecological problem areas and situations. These areas and situations in turn serve as the initial units for a medical-ecological regionalization of Altay Kray. Translated by Edward Torrey, Alexandria, Virginia from: Geogrofiya i prirodnyye resursy, 2000, No. 2, pp. 112-122.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127518839","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":"L-BAND MICROWAVE EMISSION OF FOREST VEGETATION","authors":"A. Mil'shin, A. Grankov","doi":"10.1080/07493878.2001.10642169","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642169","url":null,"abstract":"Two researchers present the results of an analysis of experimental data on the characteristics of radio emission (complex permittivity of needles, leaves, branches, trunks, and canopy; crown transmissivity; total attenuation by canopy; radiobrightness temperature and emissivity of canopy and forest-surface system) of forest vegetation and individual components of the tree stand in the L-band. The results of both surface and aerial measurements are presented.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123057686","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}