{"title":"Estimation of surface reflection parameters over lands using linear polarization data by airborne POLDER","authors":"K. Takemata, Y. Kawata","doi":"10.1109/IGARSS.1997.609074","DOIUrl":null,"url":null,"abstract":"This paper shows the estimated results of surface reflection parameters, such as the leaf inclination distribution function (LIDF) and the mixing ratio (/spl alpha/) of specular to diffuse component for a vegetated area, using the observed linear polarization data at 550 nm and 650 nm over lands measured by the airborne POLDER. The main results in this study can be summarized as follows: 1) The authors found the simplified Rondeaux-Herman model for \"Forest01\" and \"Rice Field01\" is able to show similar polarization variations against zenith viewing angles in the principal plane to the observed one. 2) The isotropic assumption of LIDF seems to be valid. The values of /spl alpha/ for \"Forest01\" are estimated to be /spl alpha/-0.50 and 0.20</spl alpha/<0.40 at 550 nm and 650 nm, respectively. Those for \"Rice Field01\" are to be /spl alpha//spl sim/0.50 and /spl alpha/0.40 at 550 nm and 650 nm, respectively.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"148 1","pages":"1790-1792 vol.4"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.609074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper shows the estimated results of surface reflection parameters, such as the leaf inclination distribution function (LIDF) and the mixing ratio (/spl alpha/) of specular to diffuse component for a vegetated area, using the observed linear polarization data at 550 nm and 650 nm over lands measured by the airborne POLDER. The main results in this study can be summarized as follows: 1) The authors found the simplified Rondeaux-Herman model for "Forest01" and "Rice Field01" is able to show similar polarization variations against zenith viewing angles in the principal plane to the observed one. 2) The isotropic assumption of LIDF seems to be valid. The values of /spl alpha/ for "Forest01" are estimated to be /spl alpha/-0.50 and 0.20
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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.
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