Many interesting developments in here.

1) We're getting better at real time observation of algal blooms thanks to
multi sensor multi band and multi platform devices (ARGO + satellite is a
potent combination) but not there yet.

2) Of particular note for the geoengineering community is the importance of
supporting long-term decadal planning to ensure continuity of global remote
sensing services:

[there was a]10-year gap between CZCS and SeaWiFS
> (Fig. 4). This lack of data affected the possibility of answering many
> environmental questions, one of which was whether the volcanic
> eruption of Mount Pinatubo in the Philippines in 1991 caused large
> phytoplankton blooms. The 10 cubic kilometers of material ejected
> by Mount Pinatubo contained trace metals (Gabrielli et al., 2008),
> especially iron, that were spread by the winds over the world’s
> oceans. These atmospheric depositions are likely to have generated
> large-scale phytoplankton blooms, but no ocean color satellite records
> for those events exist.


Continuity of the global satellite record cannot be taken for granted and
in fact is regularly imperiled everytime a satellite fails or a mission is
delayed or cancelled.  It would be good if some of the visionaries and
venture capitalists who watch this space threw their weight behind backing
civil scientific space missions.  Without the satellite record for climate
science, geoengineering is guessing in the dark.
ᐧ

On Tue, Sep 30, 2014 at 4:33 AM, Andrew Lockley <andrew.lock...@gmail.com>
wrote:

> Poster's note : useful for OIF monitoring
>
>
> http://www.sciencedirect.com/science/article/pii/S0079661114000020?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb&ccp=y
>
> Progress in Oceanography
> April 2014, Vol.123:123–144, doi:10.1016/j.pocean.2013.12.008
> Open Access,
>
> A review of ocean color remote sensing methods and statistical techniques
> for the detection, mapping and analysis of phytoplankton blooms in coastal
> and open oceans
>
> David Blondeau-Patissier
> James F.R. Gower
> Vittorio E. Brando
>
> Abstract
>
> The need for more effective environmental monitoring of the open and
> coastal ocean has recently led to notable advances in satellite ocean color
> technology and algorithm research. Satellite ocean color sensors’ data are
> widely used for the detection, mapping and monitoring of phytoplankton
> blooms because earth observation provides a synoptic view of the ocean,
> both spatially and temporally. Algal blooms are indicators of marine
> ecosystem health; thus, their monitoring is a key component of effective
> management of coastal and oceanic resources. Since the late 1970s, a wide
> variety of operational ocean color satellite sensors and algorithms have
> been developed. The comprehensive review presented in this article captures
> the details of the progress and discusses the advantages and limitations of
> the algorithms used with the multi-spectral ocean color sensors CZCS,
> SeaWiFS, MODIS and MERIS. Present challenges include overcoming the severe
> limitation of these algorithms in coastal waters and refining detection
> limits in various oceanic and coastal environments. To understand the
> spatio-temporal patterns of algal blooms and their triggering factors, it
> is essential to consider the possible effects of environmental parameters,
> such as water temperature, turbidity, solar radiation and bathymetry.
> Hence, this review will also discuss the use of statistical techniques and
> additional datasets derived from ecosystem models or other satellite
> sensors to characterize further the factors triggering or limiting the
> development of algal blooms in coastal and open ocean waters.
>
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