Remote Sensing of Particle Matter Using Meris
نویسندگان
چکیده
The MERIS aerosol remote sensing over ocean is available and over land has been improved for a better spatial coverage. Air quality monitoring of the particles is based on in situ measurements of PM10 and PM2.5 which are respectively the density of particles of diameter lesser than 10 μm, lesser than 2.5 μm, at the surface. In order to promote the use of Earth Observation, we would like to convert the satellite aerosol product into PM first based on different assumptions: particle density and vertical distribution mainly. Because of the spatial homogeneity of the aerosols, a PM product can be developing on level-3. Preliminary to such a product, we did analyze the quality of the level-2 product. Roughness of the terrain implies artificial variations of the aerosol optical thickness (AOT). Vicinity of clouds increases artificially the AOT as well as the presence of cirrus clouds. The potentiality of a method based on the oxygen absorption is demonstrated to flag cirrus clouds. Having a level-3 can be as well a useful tool to have a global view in the interpretation of local dust events. A first attempt to calibrate the satellite imagery using the in-situ PM measurements is reported. With the frame of a European project, we generated, over an area centered on Lille (50’36° N, 3’08 E, North of France), a representative data base with SeaWiFS, and the PM data collected by the regional air quality network. Correlations between PM and AOT are not straightforward and that suggest the need of auxiliary data to improve the correlation.
منابع مشابه
Chromophoric Dissolved Organic Matter and Dissolved Organic Carbon from Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS) and MERIS Sensors: Case Study for the Northern Gulf of Mexico
Empirical band ratio algorithms for the estimation of colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) for Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS) and MERIS ocean color sensors were assessed and developed for the northern Gulf of Mexico. Match-ups between in situ measurements of CDOM absorption coefficients...
متن کاملClassification of Several Optically Complex Waters in China Using in Situ Remote Sensing Reflectance
Determining the dominant optically active substances in water bodies via classification can improve the accuracy of bio-optical and water quality parameters estimated by remote sensing. This study provides four robust centroid sets from in situ remote sensing reflectance (Rrs (λ)) data presenting typical optical types obtained by plugging different similarity measures into fuzzy c-means (FCM) c...
متن کاملUsing High-Resolution Airborne Data to Evaluate MERIS Atmospheric Correction and Intra-Pixel Variability in Nearshore Turbid Waters
The implementation of accurate atmospheric correction is a prerequisite for satellite observation and water quality monitoring in coastal areas. The potential of the fast-line-of-sight atmospheric analysis of spectral hypercubes (FLAASH) was investigated here for the medium resolution imaging spectrometer (MERIS). As the comparison between discrete field sampling points and macro-scale satellit...
متن کاملA Surface Reflectance Model for Aerosol Remote Sensing over Land
Aerosol remote sensing over land is based on the use of pixels covered by vegetation. Because of the absorption of the photosynthesis pigments, these pixels are quite dark in the blue and in the red. This consideration led to introduce the concept of DDV pixels. Initially, 11 DDV models have been selected from the POLDER 1 imagery. ARVI, atmospherically resistant vegetation index, has been used...
متن کاملValidation of SCIAMACHY top-of-atmosphere reflectance for aerosol remote sensing using MERIS L1 data
Aerosol remote sensing is very much dependent on the accurate knowledge of the top-of-atmosphere (TOA) reflectance measured by a particular instrument. The status of the calibration of such an instrument is reflected in the quality of the aerosol retrieval. Current data of the SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) instrument (operated with the data pr...
متن کامل