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Environmental Monitoring with an Airborne LiDAR (Light Detection and Ranging System)
Author            :Dr. S.Babichenko, Dr. V. Somnisky, Mr. A.Vorobiev
Designation    :Researchers
Company        :LDI3
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Synopsis

The current state of large-scale environmental monitoring is largely dependent on laboratory spot sampling of water and soil. This relatively time consuming method of sample selection cannot provide enough data to analyze emergency impacts in complex, dynamic environments. A new method is required. The collection of data in a detailed systematic manner to analyze anthropogenic impacts on complex environments requires novel instrumentation with certain characteristics. A novel monitoring device must be highly mobile to gather as many samples as possible in a given time; it must also generate accurate and detailed data in real-time to avoid laboratory delays. Data must then be immediately geo-referenced if it is to be immediately acted upon. An airborne LiDAR is a laser-based fluorescence analyzer that is able to direct standard laboratory analysis to locations that require immediate assessment. This combination may provide comprehensive information for large-scale environmental surveys.

LDI3 conducted an airborne survey of several major watersheds and lakeshores in Southern Ontario in December 2003. Using an airborne LiDAR, dissolved organic matter (DOM) levels, water transparency profiles, and data on ground and water oil pollution were gathered. In twelve hours, 45 000 samples were taken and data collection occurred with spatial resolution of 30 meters over the entire flight path.

The data gathered by this airborne survey has been verified and backed by simultaneous gathering and laboratory analysis of selected ground samples from areas measured during the flight. Strong sample correlations exist between in-flight measurements and those conducted in the laboratory.

Water properties and pollution patterns have been analyzed in the area surveyed. All data have been geo-referenced and superimposed on high-resolution maps, allowing for a better understanding of potential causes and sources of environmental anomalies.

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