{"title":"干旱景观多光谱成像的最佳光谱分辨率选择","authors":"A. Zhirov, A. Monakhov","doi":"10.1080/07493878.2001.10642163","DOIUrl":null,"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":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":null,\"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\":0.0000,\"publicationDate\":\"2001-01-01\",\"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/10.1080/07493878.2001.10642163\",\"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/10.1080/07493878.2001.10642163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SELECTION OF AN OPTIMAL SPECTRAL RESOLUTION FOR MULTISPECTRAL IMAGING OF ARID LANDSCAPES
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
