Forest Investment Account (FIA) - Land Base Investment Program - Innovative
FIA Project 6443003

    Capacity of high spatial resolution imagery to identify stream geomorphology: development and testing of methodologies : final report
Imprint: [Vancouver, BC] : University of British Columbia, 2007
Subject: Forest Investment Account (FIA), LiDAR (Light Detection And Ranging)
Series: Forest Investment Account (FIA) - Land Base Investment Program - Innovative
The objective of this research is to assess the capacity of high spatial resolution QuickBird imagery and terrain information extracted from LIDAR to discriminate alluvial areas along stream. 3 As a basis for comparison we utilized the Terrestrial Ecosystem Mapping (TEM) classification scheme, which consists of ecosystem mapping undertaken across the province using aerial photography at 1:20 000 to 1:50 000 scale (Mitchell et al. 1989; Demarchi et al. 1990). The TEM approach involves stratifying the landscape into map units according to a combination of ecological features, primarily climate, physiography, surficial material, bedrock geology, soil, and vegetation. From this classification, information on the underlying geomorphology can be extracted. Two approaches will be assessed in this research, the first involving object-based classification of the multispectral and LIDAR data fused together, and the second using a suite of rule-based indicators applied directly to a digital elevation model (DEM). If high spatial resolution satellite imagery and LIDAR data are able to accurately discriminate alluvial landforms as defined by the TEM, this technology may offer an alternative to air photo interpretation for identification and classification of alluvial reaches for coarse filter identification of high value fish habitat.
Nicholas C Coops ... [et al.].

Updated August 16, 2010 

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