期刊论文详细信息
REMOTE SENSING OF ENVIRONMENT 卷:114
Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes
Article
Guanter, Luis1,2  Ruiz-Verdu, Antonio3  Odermatt, Daniel4  Giardino, Claudia5  Simis, Stefan6  Estelles, Victor1  Heege, Thomas7  Antonio Dominguez-Gomez, Jose8  Moreno, Jose1 
[1] Univ Valencia, Dept Earth Phys & Thermodynam, E-46100 Valencia, Spain
[2] GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany
[3] Ctra Ajalvir, Natl Inst Aerosp Technol INTA, Torrejon De Ardoz 28850, Spain
[4] Univ Zurich, RSL, Dept Geog, CH-8057 Zurich, Switzerland
[5] CNR IREA, I-20133 Milan, Italy
[6] Ctr Marine Res, Finnish Environm Inst SYKE, FI-00251 Helsinki, Finland
[7] EOMAP GmbH & Co KG, Sonderflughafen Oberpfaffenhofen, D-82205 Gilching, Germany
[8] CEDEX, Ctr Hydrog Studies, Madrid 28005, Spain
关键词: MERIS;    Atmospheric correction;    Inland waters;    Aerosol optical thickness;    SCAPE-M;    Validation;   
DOI  :  10.1016/j.rse.2009.10.004
来源: Elsevier
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【 摘 要 】

Traditional methods for aerosol retrieval and atmospheric correction of remote sensing data over water surfaces are based on the assumption of zero water reflectance in the near-infrared. Another type of approach which is becoming very popular in atmospheric correction over water is based on the simultaneous retrieval of atmospheric and water parameters through the inversion of coupled atmospheric and bio-optical water models. Both types of approaches may lead to substantial errors over optically-complex water bodies, such as case 11 waters, in which a wide range of temporal and spatial variations in the concentration of water constituents is expected. This causes the water reflectance in the near-infrared to be non-negligible, and that the water reflectance response under extreme values of the water constituents cannot be described by the assumed bio-optical models. As an alternative to these methods. the SCAPE-M atmospheric processor is proposed in this paper for the automatic atmospheric correction of ENVISAT/MERIS data over inland waters. A-priori assumptions on the water composition and its spectral response are avoided by SCAPE-M by calculating reflectance of close-to-land water pixels through spatial extension of atmospheric parameters derived over neighboring land pixels. This approach is supported by the results obtained from the validation of SCAPE-M over a number of European inland water validation sites which is presented in this work. MERIS-derived aerosol optical thickness, water reflectance and water pigments are compared to in-situ data acquired concurrently to MERIS images in 20 validation match-ups. SCAPE-M has also been compared to specific processors designed for the retrieval of take water constituents from MERIS data. The performance of SCAPE-M to reproduce ground-based measurements under a range of water types and the ability of MERIS data to monitor chlorophyll-a and phycocyanin pigments using semiempirical algorithms after SCAPE-M processing are discussed. It has been found that SCAPE-M is able to provide high accurate water reflectance over turbid waters, outperforming models based on site-specific bio-optical models, although problems of SCAPE-M to cope with clear waters in some cases have also been identified. (C) 2009 Elsevier Inc. All rights reserved.

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