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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

BOX 2.1
Applying SeaWiFS Data to Monitoring Harmful Algal Blooms

The Challenge

Marine planktonic algae, or phytoplankton, are essential elements of the marine environment, but some species are detrimental, forming harmful algal blooms (HABs). Toxic HAB species, such as the dinoflagellate Gymnodinium breve (G. breve), cause “red tides” that can harm fish and wildlife, cause illness in humans, and have a significant economic impact. Sampling HABs effectively is a difficult problem because of the large areas of ocean they may cover and the logistical costs of traditional sampling. Improved monitoring of HABs would increase understanding of the inception of HABs and the conditions that promote their growth. Rapid identification of HABs is essential for state managers to protect public health. Satellite imagery of ocean color has the potential to provide information on the distribution and abundance of HABs at high frequency and with suitable spatial and temporal resolution.

Remote Sensing Application

In partnership with the National Oceanic and Atmospheric Administration (NOAA) and the Naval Research Laboratory, the Environmental Protection Agency (EPA) Advanced Monitoring Initiative program sponsored a demonstration project to use satellite data from the Sea-viewing Wide Field-of-view Sensor (Sea-WiFS) ocean color instrument to help detect outbreaks in the Gulf of Mexico of the potentially harmful G. breve from its optical signature. Regional SeaWiFS data on chlorophyll concentration have the potential to give an early warning of G. breve blooms. This program was designed to develop algorithms for using SeaWiFS data to monitor G. breve and to communicate the results to health officials charged with identifying health and safety issues related to changing environmental conditions.

lively expensive, except in the most confined of water bodies. In the Chesapeake Bay and in the Mississippi River plume in the Gulf of Mexico-both highly fertilized regions that are manifesting water quality problems associated with anthropogenic nutrient loading from their large watersheds-intensive monitoring programs have been developed that are being augmented effectively with remote sensing.

The case studies illustrated both barriers to developing effective applications and bottlenecks that slow or complicate the process. For example, in the Army Corps of Engineers SHOALS project, which uses airborne lidar to survey navigation channels and harbors, the long lead time from concept to application was a

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