Mar 1, 2021 · We make use of a combination of optical and thermal information from satellite and reanalysis data, along with monthly climatology information.
To this end, we propose the Moderate. Resolution Imaging Spectroradiometer (MODIS)-based AVHRR. Class Separation Algorithm (MACSSA), whose goal is to identify.
We found the product to be highly accurate in identifying clear land pixels, with a probability of detection of clear pixels (PODclear) of 97%. The ...
We found the product to be highly accurate in identifying clear land pixels, with a probability of detection of clear pixels (PODclear) of 97%. The ...
The purpose of the MODIS snow mapping (Snowmap) and ice mapping (Icemap) algorithms is to generate global snow- and lake-ice cover products, and global sea ice- ...
The current version of the MODIS snow algorithm reads the unob- structed field-of-view quality flag from the MODIS cloud- mask algorithm (Ackerman et al., 1998) ...
Missing: Separation | Show results with:Separation
Apr 19, 2024 · MODIS-Based AVHRR Cloud and Snow Separation Algorithm ; 1 Department of Geographical Sciences [College Park] ; 2 GSFC - NASA Goddard Space Flight ...
MODIS-Based AVHRR Cloud and Snow Separation Algorithm ; ISSN: 1558-0644, 0196-2892 ; Year of publication: 2022 ; Volume: 60 ; Type: Article.
cloud optical thickness and effective radius using the 1.64 and 2.13 µm bands, to- gether with a similar algorithm based on Platnick (1991) and Nakajima and.
Abstract. An algorithm is developed and evaluated for discriminating between clouds, snow-covered land and snow-free land in satellite image data.