DocumentCode :
2663314
Title :
Fusion of MeRIS and ETM images for coastal water monitoring
Author :
Minghelli-Roman, Audrey ; Polidori, Laurent ; Mathieu-Blanc, Sandrine ; Loubersac, Lionel ; Cauneau, Francois
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
322
Lastpage :
325
Abstract :
Ocean colour monitoring is usually based on optical remote sensing with spatial resolutions around 1 km. This spatial scale is available with such sensors as NOAA-AVHRR,POLDER or SeaWiFS, which cover one to several thousand kilometers in a single swath and providing very short revisit periods. The MeRIS sensor, launched on board ENVISAT in 2002, was designed for sea colour observation, with a 300 meter spatial resolution, 15 programmable spectral bands and a 3 day revisit period. Tree hundred meter is a high resolution for an oceanographic sensors, but it is still too rough for coastal water monitoring, where physical and biological phenomena require better spatial resolution [1]. On the opposite, multispectral Landsat ETM images offer a suitable spatial resolution, but have only 4 spectral bands in the visible and near infrared spectrum, allowing poor spectral characterization. A few years ago, in order to combine the spectral resolution of MeRIS and the spatial resolution of Landsat ETM,we had implemented a merging method proposed by Zhukov et al. [2]. Before the launch of ENVISAT, we applied this method to simulated MeRIS images [3]. MeRIS was launched in March 2002 and has been providing images since June 2002. This method is now applied to real MeRIS images. Two product levels are considered. Level 1b contains radiance measurements at the top of the atmosphere for the calibrated and geocoded fifteen (15) MeRIS bands. Level 2 contains normalized surface reflectance and several geophysical and biophysical parameters such as algal pigment index, suspended sediment,Rayleigh-corrected vegetation indices, aerosol type, cloud albedo. The method was tested for radiance (level lb) and reflectance (level 2) over a coastal area of approximately 30times30 km2 located around the Thau lagoon (southern France).
Keywords :
aerosols; clouds; image fusion; oceanographic techniques; remote sensing; sediments; AD 2002; ENVISAT; Landsat Enhanced Thematic Mapper; MeRIS sensor; Medium Resolution Imaging Spectrometer images; NOAA-AVHRR sensor; POLDER sensor; Rayleigh-corrected Vegetation Indices; SeaWiFS sensor; Thau lagoon; aerosol type; algal pigment index; biological phenomena; cloud albedo; coastal water monitoring; geophysical parameters; merging method; multispectral Landsat ETM images; normalized surface reflectance; ocean colour monitoring; oceanographic sensors; optical remote sensing; physical phenomena; radiance measurements; sea colour observation; southern France; spatial resolutions; spectral characterization; suspended sediment; Biomedical optical imaging; Biosensors; Oceans; Optical sensors; Reflectivity; Remote monitoring; Remote sensing; Satellites; Sea measurements; Spatial resolution; Fusion; Landsat Enhanced Thematic Mapper (ETM); Medium Resolution Imaging Spectrometer (MERIS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4422795
Filename :
4422795
Link To Document :
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