Quantifying structural physical habitat attributes using LIDAR and hyperspectral imagery

Structural physical habitat attributes include indices of stream size, channel gradient, substrate size, habitat complexity, and riparian vegetation cover and structure. The Environmental Monitoring and Assessment Program (EMAP) is designed to assess the status and trends of ecological resources at...

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Bibliographic Details
Published in:Environmental monitoring and assessment 2009-12, Vol.159 (1-4), p.63-83
Main Authors: Hall, Robert K, Watkins, Russell L, Heggem, Daniel T, Jones, K. Bruce, Kaufmann, Philip R, Moore, Steven B, Gregory, Sandra J
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Anthropogenic factors
Applied ecology
Applied sciences
Atmospheric Protection/Air Quality Control/Air Pollution
Biological and medical sciences
Channel morphology
Creeks & streams
Earth and Environmental Science
Ecology
Ecosystem
Ecotoxicology
Ecotoxicology, biological effects of pollution
Environment
Environmental health
Environmental indicators
Environmental Management
Environmental monitoring
Environmental Monitoring - methods
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Habitats
Hydraulic roughness
Hyperspectral
Land use planning
Lasers
Lidar
Monitoring/Environmental Analysis
Natural resources
Physical habitat
Pollution
Remote sensing
Remote sensing systems
Riparian
Riparian ecology
Riparian vegetation
Sensors
Stream
Studies
Topography
Trends
Vegetation
Vegetation cover
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Summary:Structural physical habitat attributes include indices of stream size, channel gradient, substrate size, habitat complexity, and riparian vegetation cover and structure. The Environmental Monitoring and Assessment Program (EMAP) is designed to assess the status and trends of ecological resources at different scales. High-resolution remote sensing provides unique capabilities in detecting a variety of features and indicators of environmental health and condition. LIDAR is an airborne scanning laser system that provides data on topography, channel dimensions (width, depth), slope, channel complexity (residual pools, volume, morphometric complexity, hydraulic roughness), riparian vegetation (height and density), dimensions of riparian zone, anthropogenic alterations and disturbances, and channel and riparian interaction. Hyperspectral aerial imagery offers the advantage of high spectral and spatial resolution allowing for the detection and identification of riparian vegetation and natural and anthropogenic features at a resolution not possible with satellite imagery. When combined, or fused, these technologies comprise a powerful geospatial data set for assessing and monitoring lentic and lotic environmental characteristics and condition.
ISSN:0167-6369
1573-2959
DOI:10.1007/s10661-008-0613-y