{"title":"库达河流域土壤覆盖研究中的空间影像","authors":"T. V. Keyko","doi":"10.1080/07493878.2000.10642148","DOIUrl":null,"url":null,"abstract":"A Russian remote sensing specialist reviews applications of false-color imagery obtained from multispectral space cameras in the study of soils, using the Kuda River basin of Siberia as a case study. The focus is on the analytical power, at diverse spectral resolutions, of multiscalar and multitemporal research approaches made possible by remote sensing technologies. Discussion also centers on the need to employ indirect methods of image interpretation because of concealment of soils from direct observation by vegetation. The study compares imagery from a variety of spectral ranges to determine the most informative wavelengths for discrimination of soil types. Translated by Edward Torrey, Alexandria VA from: Geografiya i prirodnyye resursy, 1999, No. 4, pp. 94-97.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SPACE IMAGERY IN THE STUDY OF SOIL COVER IN THE KUDA RIVER BASIN\",\"authors\":\"T. V. Keyko\",\"doi\":\"10.1080/07493878.2000.10642148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Russian remote sensing specialist reviews applications of false-color imagery obtained from multispectral space cameras in the study of soils, using the Kuda River basin of Siberia as a case study. The focus is on the analytical power, at diverse spectral resolutions, of multiscalar and multitemporal research approaches made possible by remote sensing technologies. Discussion also centers on the need to employ indirect methods of image interpretation because of concealment of soils from direct observation by vegetation. The study compares imagery from a variety of spectral ranges to determine the most informative wavelengths for discrimination of soil types. Translated by Edward Torrey, Alexandria VA from: Geografiya i prirodnyye resursy, 1999, No. 4, pp. 94-97.\",\"PeriodicalId\":405012,\"journal\":{\"name\":\"Mapping Sciences and Remote Sensing\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mapping Sciences and Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07493878.2000.10642148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mapping Sciences and Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07493878.2000.10642148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
一名俄罗斯遥感专家以西伯利亚库达河流域为例,审查了从多光谱空间照相机获得的假彩色图像在土壤研究中的应用。重点是遥感技术使多标量和多时间研究方法在不同光谱分辨率下的分析能力。讨论还集中在需要采用间接方法的图像解释,因为土壤从植被直接观测隐蔽。该研究比较了来自不同光谱范围的图像,以确定辨别土壤类型的最具信息量的波长。Edward Torrey, Alexandria VA译自:Geografiya i prirodnyye resursy, 1999, No. 4, pp. 94-97。
SPACE IMAGERY IN THE STUDY OF SOIL COVER IN THE KUDA RIVER BASIN
A Russian remote sensing specialist reviews applications of false-color imagery obtained from multispectral space cameras in the study of soils, using the Kuda River basin of Siberia as a case study. The focus is on the analytical power, at diverse spectral resolutions, of multiscalar and multitemporal research approaches made possible by remote sensing technologies. Discussion also centers on the need to employ indirect methods of image interpretation because of concealment of soils from direct observation by vegetation. The study compares imagery from a variety of spectral ranges to determine the most informative wavelengths for discrimination of soil types. Translated by Edward Torrey, Alexandria VA from: Geografiya i prirodnyye resursy, 1999, No. 4, pp. 94-97.