EVALUATION OF THE AEROSOL TYPE EFFECT ON THE SURFACE REFLECTANCE RETRIEVAL USING CHRIS/PROBA IMAGES OVER LAND
Surface reflectance has a central role in the analysis of land surface for a broad variety of agricultural, geological and urban studies. An accurate atmospheric correction, obtained by an appropriate selection of aerosol type and loading, is the first requirement for a reliable surface reflectance...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-04-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1311/2015/isprsarchives-XL-7-W3-1311-2015.pdf |
Summary: | Surface reflectance has a central role in the analysis of land surface for a broad variety of agricultural, geological and urban studies.
An accurate atmospheric correction, obtained by an appropriate selection of aerosol type and loading, is the first requirement for a
reliable surface reflectance estimation. The aerosol type is defined by its micro-physical properties, while the aerosol loading is
described by optical thickness at 550 nm. The aim of this work is to evaluate the radiative impact of the aerosol model on the surface
reflectance obtained from CHRIS (Compact High Resolution Imaging Spectrometer) hyperspectral data over land by using the
specifically developed algorithm CHRIS@CRI (CHRIS Atmospherically Corrected Reflectance Imagery) based on the 6SV radiative
transfer model. Five different aerosol models have been used: one provided by the AERONET inversion products (used as
reference), three standard aerosol models in 6SV, and one obtained from the output of the GEOS-Chem global chemistry-transport
model (CTM). As test case the urban site of Bruxelles and the suburban area of Rome Tor Vergata have been considered. The results
obtained encourages the use of CTM in operational retrieval and provides an evaluation of the role of the aerosol model in the
atmospheric correction process, considering the different microphysical properties impact. |
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ISSN: | 1682-1750 2194-9034 |