{"title":"Textural Classification of Forest Types from Landsat 7 Imagery","authors":"O. Butusov","doi":"10.2747/0749-3878.40.2.91","DOIUrl":"https://doi.org/10.2747/0749-3878.40.2.91","url":null,"abstract":"A method was developed for using textural, brightness, and spectral indices for the classification of forest valuation tracts on the basis of space imagery. The textural characteristics were determined by applying a discrete wavelet transform and with use of a textural matrix, on the basis of which the following textural indices were determined: energy, standard deviation, inertia, entropy, homogeneity factor, cluster shade (asymmetry), cluster prominence, and cluster correlation information measure. An unsupervised classification of valuation tracts was made for a space image of a test area within the Bulun forested sector of the Zhigansk forest management area registered by the Landsat 7 satellite. The use of textural indices alone for classification purposes proved to be inadequate. Satisfactory results were obtained only with the joint use of both textural and brightness spectral indices.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132772158","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":"Comparison of Satellite- and Ground-Based Measurements of Total Ozone Content","authors":"D. Ionov, Y. Timofeyev, A. M. Shalamyanskiy","doi":"10.2747/0749-3878.40.1.1","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.1","url":null,"abstract":"Results of international experiments for the validation of measurements of total ozone content (TOC) by the GOME instrument are reviewed and compared with measurements made with independent surface measurements from Dobson and Brewer spectrophotometers and the M-124 ozonometer. The results of numerous comparisons of on-line GOME TOC data with data from ground-based measurements by the Russian ozone monitoring network during 1996-2000 reveal that the GOME data systematically understate TOC (by 4-9%), also noticeable in comparison with data from simultaneous TOMS measurements.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132410755","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":"Satellite Imagery in the Study of Lake Baykal Surface Temperatures","authors":"N. Y. Mogilev, R. Y. Gnatovskiy","doi":"10.2747/0749-3878.40.1.41","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.41","url":null,"abstract":"Two remote sensing specialists describe the latest results of a multifaceted program of monitoring and mapping water surface temperature in Lake Baykal. Data obtained as a result of satellite observations of daily distributions of water surface temperature made it possible to analyze the annual variation of their statistical parameters for the lake surface as a whole for the period 25 May-15 November 1996-1999. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2002, No. 2, pp. 136-142.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126463179","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":"Classification and Mapping of Climates of the Baykal Mountain-Basin System","authors":"I. Trofimova","doi":"10.2747/0749-3878.40.1.66","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.66","url":null,"abstract":"The latest results of ongoing research directed toward the classification and mapping of the microclimates in the Lake Baykal basin and surrounding mountainous areas are presented. Fifteen types of climate were identified within the Baykal mountain-basin system on the basis of an analysis of the air temperature and precipitation regimes and the degree of winter snowiness, and mapped at relatively large scale. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2002, No. 2, pp. 53-61.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"1983 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128051248","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. Asmus, O. Y. Milekhin, V. Krovotyntsev, A. Selivanov
{"title":"Use of Radar Data from Okean-Series Satellites in Hydrometeorology and Environmental Monitoring","authors":"V. Asmus, O. Y. Milekhin, V. Krovotyntsev, A. Selivanov","doi":"10.2747/0749-3878.40.1.17","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.17","url":null,"abstract":"The principal results of many years of experience in work on the use of satellite radar data in solving problems in hydrometeorology and environmental monitoring are presented. This experience shows that the aforementioned information has come into most widespread use when solving problems involved in the monitoring of ice conditions in the Earth's polar regions. In the final analysis, satellite radar images have become the principal source of information in support for hydrometeorological work in the Arctic and Antarctica, and are important in climatological studies as well.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115665667","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 Geographic Informational Approach to the Compilation of Slope Maps","authors":"Y. P. Krupochkin","doi":"10.2747/0749-3878.40.1.60","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.60","url":null,"abstract":"A Russian geographer describes a methodology whereby data on slopes contained within a geographic information system are employed in the compilation of geomorphological maps. More specifically, the author proposes and tests a technology for the automated compilation of electronic maps of mean slope for the territory of Altay Kray, West Siberia, Russia. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2002, No. 2, pp. 142-146.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422469","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":"Repetition Rate of Sensing Signals in the Precision Space Oceanographic Radio Altimeter","authors":"K. Ho, A. Baskakov","doi":"10.2747/0749-3878.40.1.51","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.51","url":null,"abstract":"When designing devices for processing reflected radio signals it is important to know their correlation properties. In the case of the precision oceanographic radio altimeter (PRA), irradiating the sea surface from space orbit altitudes, the reflected signal is subjected to both fast and slow fluctuations. In this paper a study is made of the dependence of the cross-correlation function of interperiod fluctuations and the correlation interval on the parameters of the PRA, irradiation conditions, and sea surface state. The results make possible correct selection of the repetition interval of the sensing signals and the necessary time of smoothing in the PRA tracking system for achieving a stipulated accuracy in measuring height.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131718102","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 Radar Inferometry for Study of Dynamics of the Earth's Surface and Troposphere","authors":"I. Kucheryavenkova, A. Zakharov","doi":"10.2747/0749-3878.40.1.29","DOIUrl":"https://doi.org/10.2747/0749-3878.40.1.29","url":null,"abstract":"The results of interferometric processing of survey data for the northern shores of the Caspian Sea by synthetic aperture radar (SAR) are presented. The survey was made in May 1996 from near-earth orbits of the ERS-1 and ERS-2 satellites, respectively, on successive days in the C range with vertical polarization. A map of the coherence of the radar images was compiled and an interferogram was obtained. The types of surface cover classified and the changes occurring during the time between the surveys are described, including shifts of the scattering surface and changes in phase path length of radio waves attributable to fluctuations of the tropospheric refraction coefficient.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127788269","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":"Maps of Baykal Compiled by Geodesist Moisey Ushakov","authors":"S. A. Gurulev","doi":"10.2747/0749-3878.39.4.303","DOIUrl":"https://doi.org/10.2747/0749-3878.39.4.303","url":null,"abstract":"This paper seeks to shed light on early 18th century cartographic knowledge of Lake Baykal by examining historical evidence involving criticism of a map of Lake Baykal (the Ushakov map) that appeared in 1740. At the time, this map was believed to have been largely copied from a preexisting map, copies of which are no longer available today. However, the present paper demonstrates that the map supplemented and improved the geographic knowledge of that period for areas lying alongside the Angara, upper Lena, and in Cis- and near-Transbaykalia during the first half of the 18th century. Translated by Edward Torrey, Alexandria, Virginia, from Geografiya i prirodnyye resursy, 2001, No. 4, pp. 126-131.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127089358","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. Pozdnyakov, A. V. Lyakovskiy, H. Grassl, L. Pettersson
{"title":"Assessing the Coloration of Coastal-Zone Waters by Digital Methods","authors":"D. Pozdnyakov, A. V. Lyakovskiy, H. Grassl, L. Pettersson","doi":"10.2747/0749-3878.39.4.235","DOIUrl":"https://doi.org/10.2747/0749-3878.39.4.235","url":null,"abstract":"This paper presents the results of a study of the mechanisms by which the color of coastal waters is formed on the basis of numerical simulation of the influence on the spectral distribution of ascending brightness of light (outgoing radiation) exerted by absorption, elastic scattering, inelastic (Raman) scattering in a water column, and fluorescence of chlorophyll (Chl) and dissolved organic matter (DOM), as well as the optical interaction of light photons with the bottom of a water body. The authors demonstrate that the radiometric characteristics of water color perceived by an observer from above may experience considerable changes, depending on the nature of bottom cover (ooze, vegetation), the depths at which the bottom occurs, the geometry of water surface illumination by sunlight, and the concentrations of such substances as chlorophyll, suspended mineral matter (SMS), and dissolved organic matter.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130102010","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}