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Transforming Remote Sensing Data into Information and Applications (2001)
Space Studies Board (SSB)
Ocean Studies Board (OSB)

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Transforming Remote Sensing Data into Information and Applications

Results

The demonstration program verified the usefulness of space-based SeaWiFS data for monitoring G. breve in the Gulf of Mexico. The correspondence between SeaWiFS data on chlorophyll concentrations1 and cell concentrations of G. breve determined from ship samples suggests that satellite imagery may be useful for early detection and tracking of these harmful algal blooms (HABs). The use of SeaWiFS data to identify bloom locations and track population movements allows more extensive collection of in situ samples from appropriate locations, thus augmenting more costly and less effective sampling approaches. The program has transitioned into an operational effort: States identify a potential bloom event, NOAA’s Coast Watch Program collects relevant SeaWiFS data, NOAA scientists analyze the data, and the states redirect their sampling accordingly. The program has also identified an apparent relationship between bloom events and climate. There are indications that an absence of blooms during some years and an abundance in others might be linked to large-scale weather patterns, such as El Niño and La Niña events. Improved coordination is essential to ensure that the findings of the demonstration project are transmitted to partners in the states. Efficient, cost-effective, and understandable communication of reports on HABs is integral to the success of efforts at the local level to monitor HABs.

Barriers

Barriers to the development of applications included confusion about access to and distribution of SeaWiFs data; competition among partners and institutional barriers; costs and difficulties in coordinating a multiagency, multistate project; and development of an effective means, perhaps modeled after the daily weather reports, to communicate HAB reports to a state user.

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Chlorophyll is a ubiquitous plant pigment occurring in all phytoplankton taxa, and careful verification of indications from ocean color images is essential to use this tool in predicting or monitoring HABs.

significant deterrent to developing future applications (Box 2.2). In the demonstration project using data from the ocean color sensor SeaWiFS to identify HABs, a period of scientific and technical research was required to enable the use of imagery as a tool for predicting when and where blooms might occur (Box 2.1). In both cases, the common impediment to effectively transferring remote sensing technology to prospective information users was the gap between user requirements and the technical capabilities of the data. Remote sensing data are not a “magic bullet”; they have advantages and disadvantages that will affect their utility for practical applications. Often, developing applications of value for end users will require coupling remote sensing data with other data and/or doing additional research aimed at creating new, useful data products. Remote sensing

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