Light detection and ranging (LiDAR) and multispectral studies of disturbed Lake Superior coastal environments

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Light detection and ranging (LiDAR) and multispectral studies of disturbed Lake Superior coastal environments

Due to its high spatial resolution and excellent water penetration, coastal light detection and ranging (LiDAR) coupled with multispectral imaging (MSS) has great promise for resolving shoreline features in the Great Lakes. Previous investigations in Lake Superior documented a metal-rich ‘‘halo’’ around the Keweenaw Peninsula, related to past copper mining practices. Grand Traverse Bay on the K...

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Light Detection and Ranging (LiDAR) and Multispectral Scanner (MSS) Studies Examine Coastal Environments Influenced by Mining

There are numerous examples of past and present mine disposal into freshwater and marine coastal bays and riverine environments. Due to its high spatial resolution and extended water penetration, coastal light detection and ranging (LiDAR), coupled with multispectral scanning (MSS), has great promise for resolving disturbed shoreline features in low turbidity environments. Migrating mine tailin...

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postnatal studies of bats (pipistrellus kuhlii and miniopterus schreibersii) & histomorphology and histochemistry studies of organs and diseases of (neurergus microspilotus and n. kaiseri)

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Airborne light detection and ranging (LiDAR) point density analysis

The point density is a preeminent parameter on airborne laser scanner surveys. It is not only related to accuracy but costs and savings. The lack of uniformity of the point density across the survey is wellknown in the scientific community. This paper analyzes the behaviour of the point density derived by an oscillating mirror laser scanner on different single strips on flat bare ground in orde...

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Integrated analysis of Light Detection and Ranging (LiDAR) and Hyperspectral Imagery (HSI) data

LiDAR and hyperspectral data provide rich and complementary information about the content of a scene. In this work, we examine methods of data fusion, with the goal of minimizing information loss due to point-cloud rasterization and spatial-spectral resampling. Two approaches are investigated and compared: 1) a point-cloud approach in which spectral indices such as Normalized Difference Vegetat...

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ژورنال

عنوان ژورنال: Limnology and Oceanography

سال: 2012

ISSN: 0024-3590

DOI: 10.4319/lo.2012.57.3.0749