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US Army Corps of Engineers Collects Hyperspectral Airborne Remote Sensing Data with Earth Search PROBE-1 Instrument
August 21, 2002 |
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Company: Earth Search Sciences Inc
 Kalispell,MT-- --Earth Search Sciences, Inc.(OTCBB:EDIS - News; ESSI) announced that it has contracted with Earth Data International of Gaithersburg, MD to collect hyperspectral remote sensing data for the US Army Corps of Engineers over the shoreline of Saginaw Bay in Lake Huron, Michigan. The $208,000 contract will see hyperspectral imagery used to determine the condition of the waterway's wetlands.The ability to collect and analyze very narrow wavelength bands of light allow the PROBE-1 instrument to detect different water and aquatic vegetation types, and to monitor such issues of concern as point source pollution, and turbidity.Aquatic ecosystems in the U.S.and worldwide may be impaired by the over-enrichment of waters by nutrients, a process called eutrophication.Important points concerning eutrophication include: Leading cause of water quality degradation Sources: domestic sewage, agriculture runoff, and agro-industrial effluents Nitrogen and phosphorus are the primary nutrients Affects 40% of rivers, 51% of lakes and 57 % of estuaries Eutrophication often results in algae formation, which can kill fish and endanger human health by impacting waters used for recreational and municipal water supply purposes.Monitoring by hyperspectral technology allows the identification of algae blooms by measuring concentrations of chlorophyll.It also allows the detection of suspended minerals, and the measurement of turbidity factors. Hyperspectral data can be used to detect stressed vegetation, certain chemical toxins, changes in material composition, and a variety of other indicators that may reveal where environmental or Homeland Security problems may be occurring.This kind of intelligence is valuable when designing corrective strategies. This news release includes forward-looking statements that involve a number of risks and uncertainties.The information reflects numerous assumptions as to industry performance, general business and economic conditions, regulatory and legal requirements, taxes and other matters, many of which are beyond the control of the company.Similarly, this information assumes certain future business decisions that are subject to change.There can be no assurance that the results predicted here will be realized.Actual results may vary from those represented and those variations may be material.
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