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GRASP is a highly accurate aerosol retrieval algorithm that processes properties of aerosol- and land-surface-reflectance. It infers nearly 50 aerosol and surface parameters including particle size distribution, the spectral index of refraction, the degree of sphericity and absorption. The algorithm is designed for the enhanced characterization of aerosol properties from spectral, multiangular polarimetric remote sensing observations. GRASP works under different conditions, including bright surfaces such as deserts, where the reflectance overwhelms the signal of aerosols. GRASP is highly versatile and allows input from a wide variety of satellite and surface measurements.

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GRASP OPEN @graspopen ·

18 Jul

New paper about #aerosol and #landsurface retrieval from #OLCI/Sentinel-3A based on GRASP algorithm is out! Check the full open acces text here: https://doi.org/10.1016/j.rse.2022.113142

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GRASP OPEN @graspopen ·

5 Apr

We are happy to announce the release of S5p/TROPOMI GRASP aerosol and surface data products in the framework of ESA S5p+Innovation AOD/BRDF project. https://www.grasp-open.com/products/tropomi-data-release/

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GRASP OPEN @graspopen ·

24 Jan

Within another interesting collaboration with @EUMETSAT, GRASP algorithm has been adapted to retrieve OLCI/Sentinel-3A aerosol and surface products. Check our website to access the data and get more info: https://www.grasp-open.com/products/olci-data-release/

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GRASP Code

Download the GRASP-code, install it and run it for a large number of different aerosol measurements. Signup for the latest version of GRASP-code: stable, fast and easy to use.

Code Documentation

Complete documentation about the code, API and features of GRASP.

GRASP is a highly accurate aerosol retrieval algorithm.

It processes properties of aerosol and land surface reflectance.

What is the GRASP Algorithm?

GRASP (Generalized Retrieval of Aerosol and Surface Properties) is the first unified algorithm to be developed for characterizing atmospheric properties gathered from a variety of remote sensing observations
(Dubovik, O. et al., 2014, GRASP: a versatile algorithm for characterizing the atmosphere, SPIE Newsroom. DOI: 10.1117/2.1201408.005558, doi: http://spie.org/x109993.xml)