نتایج جستجو برای: meris
تعداد نتایج: 488 فیلتر نتایج به سال:
The Bright Pixel Atmospheric Correction (BPAC) is the MERIS operational algorithm for precorrecting the residual marine signal in the near infrared prior to the Clear water atmospheric correction. It is an essential step in the mission for computing Level 2 products on Case 2 waters. It is also always applied on Case 1 waters. The method is based on an iterative coupling between a simplified at...
Over land, the aerosol remote sensing is based on the observation of Dense Dark Vegetation (DDV) and this concept is applied on MERIS with a spectral index (ARVI, Atmospherically Resistant Vegetation Index) to detect the DDV and the use of the bands at 412, 443 and 670 nm to characterize the aerosols. The aerosol size distribution is assumed to follow the Junge law while the aerosol refractive ...
Understanding the spatial and temporal variation in carbon fluxes is essential to constrain models that predict climate change. However, our current knowledge of spatial and temporal patterns is uncertain, particularly over land. The European Space Agency (ESA) GLOBCARBON project was initiated to generate fully calibrated estimates of at-land products quasi-independent of the original Earth Obs...
The SCAPE-M method has been developed for the retrieval of aerosol optical thickness (AOT), columnar water vapor (CWV) and surface reflectance from MERIS data. The retrieval of the three products is performed on a coupled manner taking profit of a common basis in which variations in surface elevation, topography and atmospheric state are considered pixel-by-pixel. More than 200 MERIS images hav...
The complex interactions among optically active substances in Case II waters make it difficult to associate the variability in spectral radiance (or reflectance) to any single component. In the present study, we developed a four end-member spectral decomposition model to estimate chlorophyll-a concentrations in a eutrophic shallow lake—Lake Taihu. The new model was constructed by simulated spec...
Several satellite-borne ocean colour Earth observation (EO) sensors are presently collecting data on an operational basis, including the Envisat MERIS sensor. This study aims at detecting differences in ocean colour EO sensor performances for ocean monitoring and in particular the study of algal bloom situations. The motivation for the present study is to explore how data from different sensors...
The intensity and location of Sun glint in two Medium Resolution Imaging Spectrometer (MERIS) images was modeled using a radiative transfer model that includes elevation features as well as the slope of the sea surface. The results are compared to estimates made using glint flagging and correction approaches used within standard atmospheric correction processing code. The model estimate gives a...
The Medium Resolution Imaging Spectrometer MERIS and the Advanced Along-Track Scanning Radiometer AATSR instruments, both onboard ESA’s Environmental Satellite ENVISAT, provide similar spatial resolution and swath, but complementary information, encompassing different spectral domains and viewing geometries. Recent geophysical algorithms do not take advantage of a synergetic use of the measurem...
This paper reports on progress made to develop methods to accurately estimate pigment content in forest canopies from airborne hyperspectral data. Radiative transfer approaches and red edge optical indices were applied to twelve sites of Acer saccharum M. in the Algoma Region, Ontario (Canada), where field measurements and hyperspectral CASI reflectance data have been collected between 1997 and...
RESUME This paper describes an atmospheric correction algorithm designed for the Medium Resolution Imaging Spectrometer (MERIS) with special emphasis to case-2 waters based on inverse modeling of radiative transfer calculations by using artificial neural network techniques. The presented correction scheme is implemented as a direct inversion of spectral top-of-atmosphere (TOA) radiances into sp...
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