Optimized Merger of Ocean Chlorophyll Algorithms of MODIS-Aqua and VIIRS

Autor:	Kahru, M, Kudela, RM, Anderson, CR, Mitchell, BG
Rok vydání:	2015
Předmět:	Chlorophyll ocean color Geomatic Engineering Artificial Intelligence and Image Processing Moderate Resolution Imaging Spectroradiometer phytoplankton Electrical and Electronic Engineering Visible Infrared Imager Radiometer Suite Geological & Geomatics Engineering
Zdroj:	IEEE Geoscience and Remote Sensing Letters, vol 12, iss 11 Kahru, M; Kudela, RM; Anderson, CR; & Mitchell, BG. (2015). Optimized Merger of Ocean Chlorophyll Algorithms of MODIS-Aqua and VIIRS. IEEE Geoscience and Remote Sensing Letters. doi: 10.1109/LGRS.2015.2470250. UC Santa Cruz: Retrieved from: http://www.escholarship.org/uc/item/6rn5657w
Popis:	Standard ocean chlorophyll-a (Chla) products from currently operational satellite sensors Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua and Visible Infrared Imager Radiometer Suite (VIIRS) underestimate medium and high in situ Chla concentrations and have approximately 9% bias between each other in the California Current. By using the regional optimization approach of Kahru et al., we minimized the differences between satellite estimates and in situ match-ups as well as between estimates of the two satellite sensors and created improved empirical algorithms for both sensors. The regionally optimized Chla estimates from MODIS-Aqua and VIIRS have no bias between each other, have improved retrievals at medium to high in situ Chla, and can be merged to improve temporal frequency and spatial coverage and to extend the merged time series.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a41e815c2cc1cbe75610e0fc0ca0e16 https://escholarship.org/uc/item/6rn5657w Zobrazit plný text záznamu