DocumentCode :
340615
Title :
Validation of a DDV-based aerosol optical depth retrieval algorithm for atmospheric corrections
Author :
Zagolski, Francis ; Nguyen, Minh-Nghia
Author_Institution :
PRIVATEERS N.V., Philipsburg, Netherlands
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
2287
Abstract :
One of the classical weaknesses of atmospheric correction algorithms of remotely sensed data is their statistically limited validation data sets. Validation procedures are generally carried out over a limited sparse ground based data sets. To overcome this constraint, the authors developed an approach using the multi-altitude regression more appropriate to the validation needs of high altitude or satellite sensors. The latter has been used to validate a single-altitude AOD (Aerosol Optical Depth) inversion algorithm which uses ARVI (Atmospherically Resistant Vegetation Index) criterion to select DDV (Dense Dark Vegetation) pixels in the Canadian boreal forest image acquired by the CASI (Compact Airborne Spectrographic Imager). The multi-altitude regression procedure permits the extraction of AOD images which are reasonably independent of the surface BRF (Bidirectional Reflectance Factor) required as input to the DDV-based AOD inversion algorithm. This is a fundamental requirement for the validation of DDV-based algorithm since the basic weakness of this algorithm is its sensitivity to surface BRF variations. The results indicate that the multi-altitude regression procedure is an effective tool for validating DDV inversion algorithms
Keywords :
aerosols; atmospheric composition; atmospheric optics; atmospheric techniques; geophysical techniques; remote sensing; terrain mapping; vegetation mapping; ARVI; Atmospherically Resistant Vegetation Index; Bidirectional Reflectance Factor; Canadian boreal forest; DDV; IR; aerosol; atmopshere; atmospheric correction; composition; dense dark vegetation; geophysical measurement technique; infrared; land surface; multi-altitude regression; optical depth; optics; remote sensing; retrieval algorithm; single-altitude method; terrain mapping; validation; validation data set; vegetation mapping; visible; Aerosols; Atmosphere; Atmospheric waves; Data mining; Layout; Light scattering; Optical scattering; Optical sensors; Optical surface waves; Sea surface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
Type :
conf
DOI :
10.1109/IGARSS.1999.775104
Filename :
775104
Link To Document :
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