Intra-annual variations of biases in remote sensing primary ocean color products at a coastal site
The assessment of uncertainties and biases affecting remote sensing products is a pre-condition for an effective exploitation of these data in climate studies. Within such a context, this work presents and discusses the intra-annual variations of biases in primary satellite ocean color products (i.e...
| Published in: | Remote Sensing of Environment |
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| Main Authors: | , , |
| Language: | English |
| Published: |
ELSEVIER SCIENCE INC
2012
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| Subjects: | |
| Online Access: | https://publications.jrc.ec.europa.eu/repository/handle/JRC68315 http://www.sciencedirect.com/science/article/pii/S0034425712002520 https://doi.org/10.1016/j.rse.2012.06.016 |
| Summary: | The assessment of uncertainties and biases affecting remote sensing products is a pre-condition for an effective exploitation of these data in climate studies. Within such a context, this work presents and discusses the intra-annual variations of biases in primary satellite ocean color products (i.e., normalized water-leaving radiance and aerosol optical thickness) at a coastal site in the northern Adriatic Sea for the period 2002–2010. The analysis is performed using in situ data from the Ocean Color component of the Aerosol Robotic Network (AERONET-OC) and satellite data products from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectroradiometer (MODIS-A and MODIS-T) onboard the Aqua and Terra platforms. Results indicate biases in the normalized water leaving radiance significantly increasing with the sun zenith angle and, to a lesser extent, also affected by variations in chlorophyll concentration and aerosol optical thickness. JRC.H.5 - Land Resources Management |
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