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Proceedings Paper

Improving three-tier environmental assessment model by using a 3D scanning FLS-AM series hyperspectral lidar
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Paper Abstract

Delay between the time when natural disaster, for example, oil accident in coastal water, occurred and the time when environmental protection actions, for example, water and shoreline clean-up, started is of significant importance. Mostly remote sensing techniques are considered as (near) real-time and suitable for multiple tasks. These techniques in combination with rapid environmental assessment methodologies would form multi-tier environmental assessment model, which allows creating (near) real-time datasets and optimizing sampling scenarios. This paper presents the idea of three-tier environmental assessment model. Here all three tiers are briefly described to show the linkages between them, with a particular focus on the first tier. Furthermore, it is described how large-scale environmental assessment can be improved by using an airborne 3-D scanning FLS-AM series hyperspectral lidar. This new aircraft-based sensor is typically applied for oil mapping on sea/ground surface and extracting optical features of subjects. In general, a sampling network, which is based on three-tier environmental assessment model, can include ship(s) and aircraft(s). The airborne 3-D scanning FLS-AM series hyperspectral lidar helps to speed up the whole process of assessing of area of natural disaster significantly, because this is a real-time remote sensing mean. For instance, it can deliver such information as georeferenced oil spill position in WGS-84, the estimated size of the whole oil spill, and the estimated amount of oil in seawater or on ground. All information is produced in digital form and, thus, can be directly transferred into a customer’s GIS (Geographical Information System) system.

Paper Details

Date Published: 19 May 2005
PDF: 8 pages
Proc. SPIE 5791, Laser Radar Technology and Applications X, (19 May 2005); doi: 10.1117/12.607599
Show Author Affiliations
Andre Samberg, AVAPROedu (Finland)
Sergei Babichenko, AS Laser Diagnostics Instruments (Estonia)
Larisa Poryvkina, AS Laser Diagnostics Instruments (Estonia)

Published in SPIE Proceedings Vol. 5791:
Laser Radar Technology and Applications X
Gary W. Kamerman, Editor(s)

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