Operational algorithm for the retrieval of water quality in the Great Lakes
- Author
- POZDNYAKOV, Dmitry1 ; SHUCHMAN, Robert2 ; KOROSOV, Anton1 ; HATT, Charles2
[1] Nansen International Environmental and Remote Sensing Centre, St. Petersburg, Russian Federation
[2] Altarum Institute (formerly ERIM), Ann Arbor, MI, United States - Source
Remote sensing of environment. 2005, Vol 97, Num 3, pp 352-370, 19 p ; Illustration , Table ; ref : 43 ref
- CODEN
- RSEEA7
- ISSN
- 0034-4257
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
- Publisher
- Elsevier Science, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- Russian
- Author keyword
- Bio-optical retrieval algorithm Great Lakes Hydro-optical model: Multivariate optimization technique Input signal noise Lake Michigan MODIS Neural network Retrieval algorithm robustness SeaWiFS Water quality parameters/spatial and temporal distributions
- Keyword (fr)
- Algorithme Chlorophylle Concentration Correction atmosphérique Distribution spatiale Distribution temporelle Modèle Optimisation Phytoplancton Pixel Propriété optique Précision Qualité eau Rapport signal bruit Rivière Réalité terrain Réseau neuronal Turbidité Télédétection spatiale MODIS SeaWiFS Seuil Grands Lacs Amérique Lac Michigan Amérique du Nord Plancton
- Keyword (en)
- algorithms chlorophyll concentration atmospheric correction spatial distribution temporal distribution models optimization phytoplankton Pixel optical properties accuracy water quality signal-to-noise ratio rivers ground truth neural networks turbidity Space remote sensing Great Lakes Lake Michigan North America plankton
- Keyword (es)
- Algoritmo Clorofila Concentración Distribución espacial Distribución temporal Modelo Optimización Fitoplancton Pixel Propiedad óptica Precisión Calidad agua Relación señal ruido Río Realidad terreno Red neuronal Turbiedad Teledetección espacial Grandes Lagos América Lago Michigán America del norte Plancton
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology / 001E01N01 Hydrology
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17029092
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.rse.2005.04.018 
https://dx.doi.org/10.1016/j.rse.2005.04.018
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