{"title":"A Local Transformation Method for Generating an Orthoimage","authors":"T. Tipdecho","doi":"10.2747/0749-3878.40.4.279","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.279","url":null,"abstract":"This paper presents a new Local Transformation method for the generation of an orthoimage, focusing on the use of automated procedures and accuracy improvement. Edges are extracted and used for tie point positioning, with block processing and a point template utilized to clarify the selected tie points. Although the Local Transformation uses the same polynomial function as the Global Transformation introduced by the author [see MSRS, Vol. 40, No. 2, pp. 212-224], the accuracy of the final output increases and manual processes are reduced. With an output accuracy of less than 1 pixel of residual, the results are acceptable.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121335027","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":"Estimation of Mineralization of Fresh Water Lakes Based on Ice Cover Radiothermal Emission","authors":"G. S. Bordonskiy, S. D. Krylov, A. A. Gurulev","doi":"10.2747/0749-3878.40.4.294","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.294","url":null,"abstract":"The results of radiobrightness temperature measurements of ice covers at wavelengths of 5.6, 2.3, 0.88, and 0.34 cm are analyzed. The possibility of determining the mineralization of fresh water using thermal microwave emissions from ice surfaces in the cm range is shown. The method is applicable in comparative radiobrightness temperature measurements in a single climatic zone. Passive microwave remote sensing makes it possible to determine a water mineralization change of ca. 10 mg/liter.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116462681","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. Karayev, M. Kanevsky, G. Balandina, K. Gommenginger
{"title":"Influence of Regional Features on Accuracy in Determining wind Speed Over the Oceans","authors":"V. Karayev, M. Kanevsky, G. Balandina, K. Gommenginger","doi":"10.2747/0749-3878.40.4.242","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.242","url":null,"abstract":"The influence of regional features on the accuracy of single- and twoparameter algorithms for radioaltimeter determination of the speed of the near-surface wind over the ocean was investigated. The analysis was made using data from contact measurements (NDBC buoys) and the TOPEX/POSEIDON satellite radioaltimeter (wavelength 2.1 cm). It is shown that the nature of the waves, to a considerable degree related to regional conditions, exerts a strong influence on the accuracy in wind speed determination, resulting in an error in wind speed determination of 2-2.5 m/s. A new approach to the wind speed retrieval problem is proposed, making it possible to reduce the retrieval error to a level comparable with the best existing algorithms.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123693177","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":"Methods for Mapping and Medium-Range Forecasting of Fire Danger in Forests on the Basis of Weather Conditions","authors":"Ye. I. Ponomarev, A. Sukhinin","doi":"10.2747/0749-3878.40.4.304","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.304","url":null,"abstract":"Two Russian researchers outline a method whereby imagery from NOAA-series satellites is used to augment data derived from Russia's network of meteorological stations during extreme fire hazard situations. The focus more specifically is on developing a medium-range forecast of the fire hazard on the basis of repeated imaging and medium-range (10-day, 3-day) weather forecasts, for the purpose of compiling forecast maps of fire danger to support fire detection, prevention, firefighting measures, as well as the timely deployment of personnel and equipment. Translated by Edward Torrey, Alexandria, Virginia, from: Geografiya i prirodnyye resursy, 2002, No. 4, pp. 112-117.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130365947","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":"Thermal Conditions in the Aral Sea (1982-2000) from Satellite Data","authors":"I. Ginzburg, A. G. Kostyanoy, N. Sheremet","doi":"10.2747/0749-3878.40.4.231","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.231","url":null,"abstract":"This paper presents the results of a study of the seasonal and interannual variability of Aral Sea sea surface temperature (SST) during the contemporary period (1982-2000) using sea-surface-temperature data obtained from NOAA satellites. A comparison was made between present-day temperature conditions in the sea and observations for 1950-1980, as well as with known predictions of its change due to a sea level reduction. Special aspects of temperature conditions in three Aral Sea (northern, western, and central) regions are examined separately.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126429915","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 and GIS Study of Tectonics and Net Erosion Rates in the Zagros Structural Belt, Southwestern Iran","authors":"Sayyed Ahmad Ali, K. Rangzan, S. Pirasteh","doi":"10.2747/0749-3878.40.4.258","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.258","url":null,"abstract":"The authors present the results of a study of the geomorphology of the tectonically active Zagros Structural Belt (ZSB) of southwestern Iran. More specifically the tectonic structure of the ZSB is examined using a digital elevation model (DEM) constructed from Landsat-5 Enhanced Thematic Mapper (ETM) bands 7-4-1 and ground truth. The emphasis was on detecting net erosion rates and constructing a graded profile of the Dez River that indicates that the area has been tectonically disturbed. Three topographic profiles were plotted on the DEM that are approximately perpendicular to the NW-SE direction of the Zagros main trend. Based on the initial landform shape, topography, and initial folding, net erosion rates of the study were calculated.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125273385","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":"Simulation of Photometric Conditions by Aerial and Space Photography of the Earth's Surface","authors":"I. Mishin, V. Ovechkin","doi":"10.2747/0749-3878.40.4.268","DOIUrl":"https://doi.org/10.2747/0749-3878.40.4.268","url":null,"abstract":"A mathematical procedure is presented for simulating the results of aerial and space photography of the Earth's surface as a function of photometric survey conditions. The optical densities of the photographic film are computed with stipulated coefficients of reflection by the Earth's surface, atmospheric optical parameters, illumination conditions, and camera parameters. The described procedure makes it possible to draw conclusions concerning the choice of survey camera for given optical characteristics of the landscape and atmosphere.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132813488","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}
L. Spivak, O. Arkhipkin, S. Nuraliyev, L. Shagarova
{"title":"Estimation of Areas Sown to Cereal Grains in Kazakhstan from Modis Hyperspectral Radiometer Data","authors":"L. Spivak, O. Arkhipkin, S. Nuraliyev, L. Shagarova","doi":"10.2747/0749-3878.40.3.170","DOIUrl":"https://doi.org/10.2747/0749-3878.40.3.170","url":null,"abstract":"A concise history of the development of methods for using remote sensing data to estimate areas sown to grain in Kazakhstan is presented. Methods for identifying areas sown to winter and spring wheat and other grain crops are described, based on multispectral MODIS space images. The results of utilizing such imagery to estimate sown areas in West Kazakhstan Oblast are presented.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121465449","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 Rapid Method for Estimating Crop Losses Using Space Imagery","authors":"Y. V. Shcherbenko","doi":"10.2747/0749-3878.40.3.191","DOIUrl":"https://doi.org/10.2747/0749-3878.40.3.191","url":null,"abstract":"A method based on the use of space imagery is proposed for a rapid estimate of the losses inflicted on agricultural crops by floodwaters forming as a result of downpours. Images registered by the MSU-E instrument aboard the Resurs-O1 satellite, having adequate spatial, temporal, and radiometric resolution, were examined. Digital processing is based on the use of cluster analysis (ISODATA) in which pixel-by-pixel matched images of different survey periods (before and after the flood) are processed. The method involves use of a new method for detecting changes in the condition of agricultural crops based on an analysis of the spectral reflectance of natural features before and after a flood. The normalized vegetation index (NDVI) is used in determining the condition of agricultural crops prior to flood waters. Areas of agricultural fields subjected to flooding in Slovakia in 1997 are determined and the material sustained by summer flooding in that year are calculated.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115931060","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 for Planning, Construction, and Use of the Baykal-Amur Railroad Route","authors":"B. A. Bogoyavlenskiy","doi":"10.2747/0749-3878.40.3.225","DOIUrl":"https://doi.org/10.2747/0749-3878.40.3.225","url":null,"abstract":"A Russian geographer describes the cartographic products developed to support the planning, construction, and use of the Baykal-Amur Mainline (BAM) railroad route. The documents include atlases published for the various regions (oblasts) along the route, multisheet general reference maps of the southern part of East Siberia, a series of maps of the agroclimatic resources of the southern part of Eastern Siberia, and a group of general maps of Asiatic Russia. The main focus is on the Atlas of Amur Oblast, developed under the author's guidance and published in 1981. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2002, No. 4, pp. 123-127.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132123343","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}