Bio‐optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Sixty‐seven samplings were collected, almost covering all over the Taihu Lake, in one campaign in October 2004. At each station, the backscattering coefficients and the field spectra were measured in situ, respectively, with a HS‐6 and a FieldSpec 931 spectroradiometer (ASD Inc.). Almost concurrently, water samples were fetched with Niskin water‐fetching equipment and then returned to the laboratory for concentration and absorption measurement. The whole lake was divided into different areas according to some indexes. Three models were used to calculate remote sensing reflectance R rsc for the waters where the in situ remote sensing reflectance R rsm was beyond the bottom effect, which was considered as optically deep waters. By comparison of R rsc and R rsm, the best model suitable for optically deep waters in Taihu Lake, together with its optimal experiential parameter, were selected and developed, which was very important and helpful to develop a universal model to estimate accurately remote sensing reflectance for the whole lake in the next step.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Bio‐optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing
- Date Crossref
- 01/10/2006
- Éditeur
- Informa UK Limited
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Beijing Normal University b Laboratory of Remote Sensing Science pays non établi dans la noticeUniversité ou école supérieure
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State Key Laboratory of Remote Sensing Science pays non établi dans la noticeStructure de recherche
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National Satellite Ocean Application Service pays non établi dans la noticeStructure de recherche
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Chinese Academy of Sciences pays non établi dans la noticeOrganisme public
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Nanjing Institute of Geography and Limnology pays non établi dans la noticeStructure de recherche
b Laboratory of Remote Sensing Science — Beijing Normal University, State Key Laboratory of Remote Sensing Science et National Satellite Ocean Application Service, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.