Evaluation of the MERIS aerosol product over land with AERONET

نویسندگان

  • J. Vidot
  • R. Santer
چکیده

The Medium Resolution Imaging Spectrometer (MERIS) launched in February 2002 on-board the ENVISAT spacecraft is making global observations of top-ofatmosphere (TOA) radiances. Aerosol optical properties are retrieved over land using Look-Up Table (LUT) based algorithm and surface reflectances in the blue and the red spectral regions. We compared instantaneous aerosol optical thicknesses retrieved by MERIS in the blue and the red at locations containing sites within the Aerosol Robotic Network (AERONET). Between 2002 and 2005, a set of 500 MERIS images were used in this study. The result shows that, over land, MERIS aerosol optical thicknesses are well retrieved in the blue and poorly retrieved in the red, leading to an underestimation of the Angstrom coefficient. Correlations are improved by applying a simple criterion to avoid scenes probably contaminated by thin clouds. To investigate the weakness of the MERIS algorithm, ground-based radiometer measurements have been used in order to retrieve new aerosol models, based on their Inherent Optical Properties (IOP). These new aerosol models slightly improve the correlation, but the main problem of the MERIS aerosol product over land can be attributed to the surface reflectance model in the red.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

MERIS aerosol product over land

Evaluation of the MERIS aerosol product over land with AERONET J. Vidot , R. Santer, and O. Aznay Atmospheric and Oceanic Sciences Department, University of Wisconsin, Madison, USA Laboratoire Interdisciplinaire des Sciences de l’Environnement, Maison de la Recherche en Environnement Naturel, Université du Littoral Cote d’Opale, Wimereux, France now at: Lab. de Météorologie Physique, Université...

متن کامل

Meris Land Products Validation

Over land, the aerosol remote sensing is based on the observation of Dense Dark Vegetation (DDV) and this concept is applied on MERIS with a spectral index (ARVI, Atmospherically Resistant Vegetation Index) to detect the DDV and the use of the bands at 412, 443 and 670 nm to characterize the aerosols. The aerosol size distribution is assumed to follow the Junge law while the aerosol refractive ...

متن کامل

First Validation of Meris Aerosol Product over Land

The detection of Dense Dark Vegetation (DDV) using the Atmospherically Resistant Vegetation Index (ARVI) and then the aerosol retrieval over DDV are the critical points of the land part of the processing of MERIS images implemented in the level 2 processor. We present here the first validation attempt of the MERIS aerosol product over land by checking its consistency and comparing it to AERONET...

متن کامل

Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments

An inter-comparison study of the aerosol optical thickness (AOT) at 0.55 μm retrieved using different satellite instruments and algorithms based on the analysis of backscattered solar light is presented for a single scene over central Europe on October 13th, 2005. For the first time comparisons have been performed for as many as six instruments on multiple satellite platforms. Ten different alg...

متن کامل

Aerosol Optical Thickness Retrieval over Land: the Atmospheric Correction Based on the Meris L2 Reflectance

RESUME The MERIS L2 reflectance of the data product requires over land surface an atmospheric correction for the aerosol effect. For this purpose the determination of aerosol optical thickness will be done by the BAER (Bremen AErosol Retrieval) approach, modified for this type of data product. Validation and application of the retrieval of spectral aerosol optical thickness and its application ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008