{"title":"珊瑚生物活力的光谱鉴定","authors":"H. Holden, E. LeDrew","doi":"10.1109/IGARSS.1997.615954","DOIUrl":null,"url":null,"abstract":"No quantitative means of remotely determining the biological vigour of a coral reef ecosystem exists. This renders consistent and replicable detection of coral health difficult. A quantitative index of submerged coral signatures would enable cost and time effective monitoring and management of coral reef resources, and would aid scientific studies of the extent and severity of coral bleaching. Principal components analysis is used to spectrally discriminate submerged bottom features, and broad band spectral albedos are used to estimate the SPOT and Landsat TM response.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"49 1","pages":"610-612 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spectral identification of coral biological vigour\",\"authors\":\"H. Holden, E. LeDrew\",\"doi\":\"10.1109/IGARSS.1997.615954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"No quantitative means of remotely determining the biological vigour of a coral reef ecosystem exists. This renders consistent and replicable detection of coral health difficult. A quantitative index of submerged coral signatures would enable cost and time effective monitoring and management of coral reef resources, and would aid scientific studies of the extent and severity of coral bleaching. Principal components analysis is used to spectrally discriminate submerged bottom features, and broad band spectral albedos are used to estimate the SPOT and Landsat TM response.\",\"PeriodicalId\":64877,\"journal\":{\"name\":\"遥感信息\",\"volume\":\"49 1\",\"pages\":\"610-612 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"遥感信息\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.1997.615954\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.615954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spectral identification of coral biological vigour
No quantitative means of remotely determining the biological vigour of a coral reef ecosystem exists. This renders consistent and replicable detection of coral health difficult. A quantitative index of submerged coral signatures would enable cost and time effective monitoring and management of coral reef resources, and would aid scientific studies of the extent and severity of coral bleaching. Principal components analysis is used to spectrally discriminate submerged bottom features, and broad band spectral albedos are used to estimate the SPOT and Landsat TM response.
期刊介绍:
Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively.
Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on.
Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.