Downloads provided by UsageCounts
handle: 2099/8925 , 10261/75033
One of the major challenges of ocean color research is distinguishing phytoplankton groups from in situ, airborne and satellite measurements to better understand diversity of phytoplankton and some involved biochemical processes. In this framework, high spectral resolution measurements of the remote-sensing reflectance, hyperspectral Rrs(λ), can potentially yield more information about the presence of diverse phytoplankton groups than can be gleaned from traditional analyses of single band-ratios at discrete wavelengths (i.e. multispectral approaches). We introduce and discuss the feasibility of performing derivative spectroscopy and cluster analysis of hyperspectral Rrs(λ) to improve the automatic identification of phytoplankton populations in open ocean waters
Martech 2009 Third Marine Technology Workshop, 19-20 november 2009, Vilanova i la Geltrú, Barcelona.-- 1 page, 1 figure, 1 table
Peer Reviewed
Derivative spectrosopy, Cluster analysis, :Enginyeria electrònica [Àrees temàtiques de la UPC], Derivative spectroscopy, Àrees temàtiques de la UPC::Enginyeria electrònica, Ocean bio-optics
Derivative spectrosopy, Cluster analysis, :Enginyeria electrònica [Àrees temàtiques de la UPC], Derivative spectroscopy, Àrees temàtiques de la UPC::Enginyeria electrònica, Ocean bio-optics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 72 | |
| downloads | 50 |

Views provided by UsageCounts
Downloads provided by UsageCounts