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of 3
pro vyhledávání: '"Steve B. Groom"'
Autor:
Vanda Brotas, Afonso Ferreira, Vera Veloso, Andreia Tracana, Catarina V. Guerreiro, Glen Adam Tarran, E. Malcolm S. Woodward, Lourenço Ribeiro, Jane Netting, Daniel Clewley, Steve B. Groom
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
The Atlantic Meridional Transect (AMT) program (www.amt-uk.org) provides the perfect opportunity to observe the phytoplankton community size structure over a long latitudinal transect 50oN to 50oS, thereby covering the most important latitude-related
Externí odkaz:
https://doaj.org/article/45cc1e2b362744c6b5a9abd76354c69c
Autor:
Vanda Brotas, Glen A. Tarran, Vera Veloso, Robert J. W. Brewin, E. Malcolm S. Woodward, Ruth Airs, Carolina Beltran, Afonso Ferreira, Steve B. Groom
Publikováno v:
Frontiers in Marine Science, Vol 8 (2022)
Phytoplankton biomass, through its proxy, Chlorophyll a, has been assessed at synoptic temporal and spatial scales with satellite remote sensing (RS) for over two decades. Also, RS algorithms to monitor relative size classes abundance are widely used
Externí odkaz:
https://doaj.org/article/c1baaa42691042058695f63eb863c0d6
Autor:
Dagmar Müller, Hajo Krasemann, Robert J.W. Brewin, Carsten Brockmann, Pierre-Yves Deschamps, Roland Doerffer, Norman Fomferra, Bryan A. Franz, Mike G. Grant, Steve B. Groom, Frédéric Mélin, Trevor Platt, Peter Regner, Shubha Sathyendranath, François Steinmetz, John Swinton
Publikováno v:
Mueller, D.; Krasemann, H.; Brewin, R.J.W.; Brockmann, C.; Deschamps, P.-Y.; Doerffer, R.; Fomferra, N.; Franz, B.A.; Grant, M.G.; Groom, S.B.; Melin, F.; Platt, T.; Regner, P.; Sathyendranath, S.; Steinmetz, F.; Swinton, J.: The Ocean Colour Climate Change Initiative: II. Spatial and temporal homogeneity of satellite data retrieval due to systematic effects in atmospheric correction processors. In: Remote Sensing of Environment. Vol. 162 (2015) 257-270. (DOI: 10.1016/j.rse.2015.01.033)
The established procedure to access the quality of atmospheric correction processors and their underlying algorithms is the comparison of satellite data products with related in-situ measurements. Although this approach addresses the accuracy of deri