{"title":"A MATHEMATICAL MODEL OF RIDGED-CELLULAR AND CELLULAR SANDS AS A BASIS FOR SPACE IMAGE INTERPRETATION","authors":"A. Viktorov, M. Zaytsev","doi":"10.1080/07493878.2001.10642172","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642172","url":null,"abstract":"A mathematical model of the morphological structure of ridged-cellar and cellular sand dunes is described. This could serve as a basis for interpreting space images of similar territories on the basis of textural analysis. The basis of the model is a number of assumptions following from an analysis of the mechanism of formation of sands and files of empirical data. Dynamic modeling of the formation of the pattern of sands, confirming analytical conclusions, was carried out. A model of cellular sands was formulated on the basis of concepts concerning “dense packing” as a hexagonal grid with the use of a bivariate normal distribution.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"132 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":"128529092","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}
J. Demattê, J. B. I. Demattê, W. P. Camargo, P. Fiorio, M. Nanni
{"title":"REMOTE SENSING IN THE RECOGNITION AND MAPPING OF TROPICAL SOILS DEVELOPED ON TOPOGRAPHIC SEQUENCES","authors":"J. Demattê, J. B. I. Demattê, W. P. Camargo, P. Fiorio, M. Nanni","doi":"10.1080/07493878.2001.10642168","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642168","url":null,"abstract":"The authors compare information on soil maps of the São Paulo region, Brazil (obtained by four different methodologies) with ground truth data and a preexisting semi-detailed soil map. The methodologies for compiling the new soil maps included: (1) conventional (field) cartographic methods; (2) air photo interpretation; (3) automated processing of radiometric data; and (4) use of radiometric data in conjunction with air photo analysis and planimetric/altimetric observations. The remote sensing methodologies produced soil maps similar to the detailed map (1) and substantially better than the pre-existing semi-detailed one. The utility of these techniques to soil surveys at rather large scales, and for tropical soil mapping in general, is assessed.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"241 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":"133718645","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. Ginzburg, A. G. Kostyanoy, N. Nezlin, D. A. Solov'yev, R. Stanichnaya, S. V. Stanichnyy
{"title":"ANTICYCLONIC EDDIES OVER THE NORTHWESTERN CONTINENTAL SLOPE IN THE BLACK SEA AND TRANSPORT OF CHLOROPHYLL-RICH WATERS INTO ITS ABYSSAL BASIN","authors":"A. Ginzburg, A. G. Kostyanoy, N. Nezlin, D. A. Solov'yev, R. Stanichnaya, S. V. Stanichnyy","doi":"10.1080/07493878.2001.10642171","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642171","url":null,"abstract":"A series of infrared NOAA satellite images of the northwestern Black Sea (resolution 1 km) and corresponding maps of chlorophyll “a” (SeaWiFS data, resolution 9 km) are analyzed for the period 1 June-28 August 1998. A major objective was detection of the movement of three synoptic-scale anticyclonic eddies over the continental slope and the entrainment of photopigment-rich coastal waters by them. The study examines the effects of wind direction on the visibility of eddies in the chlorophyll field, and attempts to identify conditions favoring the transport of chlorophyll-rich shelf waters into the sea's abyssal basin.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"10 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":"128442540","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":"MONITORING THE SUBARCTIC FRONT IN OCEAN SURFACE TEMPERATURE USING SATELLITE IMAGERY","authors":"V. V. Devitsyn, A. Kovalev, G. Vanyushin","doi":"10.1080/07493878.2001.10642160","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642160","url":null,"abstract":"Surface temperature gradients, used in identifying the principal hydrological fronts of the southwestern Atlantic Ocean, were computed from charts of ocean surface temperature plotted with the use of satellite information for the period 1988–1997. An analysis is made of the seasonal variability of ocean temperature gradients in the frontal zone, as well as changes in its geographical position. The year-to-year variability of the position of the Subantarctic Front is examined.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744351","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":"SELECTION OF AN OPTIMAL SPECTRAL RESOLUTION FOR MULTISPECTRAL IMAGING OF ARID LANDSCAPES","authors":"A. Zhirov, A. Monakhov","doi":"10.1080/07493878.2001.10642163","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642163","url":null,"abstract":"Two Russian remote sensing specialists investigate the problem of selecting the most informative spectral bands for multispectral remote sensing investigations of natural features and vegetation associations typical of arid environments in the Turgay Lowland of north-central Kazakhstan. More specifically, they investigate which among the four bands of a summertime Landsat-TM image yields the most information about topographic, hydrographic, and vegetational shrub and grass communities typical of the area. Translated by Edward Torrey, Alexandria, Virginia, from: Geografiya i prirodnyye resursy, 2000, No. 2, p. 144-145.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123659629","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. B. Badmayev, A. Korsunov, M. Kulikov, N. K. Badmayeva
{"title":"AN INFORMATIONAL-CARTOMETRIC ANALYSIS OF THE SOIL-ENVIRONMENT SYSTEM","authors":"N. B. Badmayev, A. Korsunov, M. Kulikov, N. K. Badmayeva","doi":"10.1080/07493878.2001.10642165","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642165","url":null,"abstract":"The author describes a method whereby the cartometric study of environmental maps and data from large-scale soil surveys are used as the basis for investigating relationships in the soil-climate system at the regional level. More specifically, a series of soil and environmental maps of the Barguzin Basin of Buryatia were superimposed on one another to ascertain the boundaries and areas of map units corresponding to the ecological ranges of the various soil types. Translated by Edward Torrey, Alexandria, VA from Geografiya i prirodnyye resursy, 2000, No. 2, pp. 142-143.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803856","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":"MONITORING OF ENVIRONMENTAL AND ECONOMIC PROBLEMS AND THE ESTABLISHMENT OF REGIONAL GEOGRAPHIC INFORMATION SYSTEMS","authors":"V. Lebedev","doi":"10.1080/07493878.2001.10642167","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642167","url":null,"abstract":"The basic principles for creating regional geographic information systems (GIS), are illustrated, using as an example a GIS designed for the monitoring of regional-and interregional-scale environmental and economic phenomena. Specific examples include GIS (and automated mapping capabilities) used to monitor and predict spring high water levels in the Volga basin, to estimate traffic volume in the center of Moscow, and monitor the ecological state of areas adjacent to the Moscow Ring Motorway.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134353893","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":"APPLICATION OF MULTIIAYER NEURAL NETWORKS IN THE CLASSIFICATION OF FOREST TYPES USING RADAR IMAGERY","authors":"L. Y. Nazarov","doi":"10.1080/07493878.2001.10642166","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642166","url":null,"abstract":"The use of multilayer neural networks for the classification of forest types on the basis of the processing of radar images is investigated. It is demonstrated by modeling that with respect to stochastic characteristics the described classification method (using multilayer neural networks) and a training procedure designed to increase its accuracy (via the a priori specification of radar reflectance values typical of specific types of vegetation) are highly effective. The methods were tested and verified using SIR-C images recorded by the U.S. Space Shuttle.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124020892","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":"A CARTOGRAPHIC APPROACH FOR ASSESSMENT OF THE CLIMATO-ECOLOGICAL STATE OF ECOSYSTEMS IN THE SOUTHERN BAYKAL REGION","authors":"I. Trofimova","doi":"10.1080/07493878.2001.10642164","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642164","url":null,"abstract":"A Siberian geographer outlines the major aspects of a program to map the climatic and ecological state of ecosystems in the Lake Baykal region of southern East Siberia. A methodology for the classification of micro- and mesoclimates is outlined that is based on the structural characteristics of the underlying terrain surface, the character of air flows into the region, and extensive study of natural conditions in the region. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2000, No. 2, pp. 104-112.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133209328","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":"AUTOMATED IMAGE INTERPRETATION IN THE ASSESSMENT OF REGIONAL MINERAL RESOURCE ENDOWMENTS: THE KARELIA-KOLA REGION","authors":"A. Pugovkin","doi":"10.1080/07493878.2001.10642161","DOIUrl":"https://doi.org/10.1080/07493878.2001.10642161","url":null,"abstract":"Prospects for use of computer technologies in interpretation of a multiscalar series of space images are examined for the purpose of conducting an inventory of natural resources. More specifically, space photographs are used to investigate the territory of the Karelia-Kola region for the purpose of identifying deposits of “anomalous” mineral resources, and uranium ores in particular.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115333651","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}