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TitlePresenting a web based evaluation tool to interactively explore the relationship between observed bi-directional reflectance and canopy characteristics
AuthorWhite, H PORCID logo; Dickinson, H; Trebble, A; Alföldi, T
SourceProceedings of the 26th Canadian Symposium on Remote Sensing; 2005, 5 pages
Alt SeriesEarth Sciences Sector, Contribution Series 2005224
Meeting26th Canadian Symposium on Remote Sensing; Wolfville, NS; CA; June 14-16, 2005
Subjectsgeophysics; remote sensing; reflectance; reflection studies; satellites; satellite imagery
Illustrationsscreen captures; plots
ProgramGeomatics for Sustainable Development of Natural Resources
Released2005 01 01
AbstractIn recent years, the quantitative assessment of vegetation properties for environmental monitoring has significantly improved due to advances in spaceborne high-resolution imaging spectrometers (hyperspectral imagery) and canopy radiative transfer algorithms. Such progress supports efforts to better assess environmental change, useful for applications such as evaluating environmental impacts of mining operations and rehabilitation efforts around mines. This capability to quantitatively monitor change is further supported by increased satellite re-visits by acquiring scenes at off-nadir viewing geometries (i.e., by rolling the satellite to view eastward or westward of its orbital track) and by obtaining acquisitions from more than one sensor. Successful utilization of this increased volume and complexity of observations requires a basic understanding of how varying view/illumination conditions affect the observed at-surface reflectance (the bidirectional reflectance factor, or BRF).
FLAIR (Four-scale Linear model for AnIsotropic Reflectance) is a canopy radiative transfer model useful in demonstrating canopy BRF. This model has been incorporated into a Web-based tool developed at the Canada Centre for Remote Sensing, Natural Resources Canada. When a user alters canopy architectural properties, component reflectance, and view/sun orientations, the FLAIR web demonstration tool (FLAIR-Web) outputs charts and data plots that illustrate the effects of these variables on the observed BRF. FLAIR-Web exploits two contributions of hyperspectral remote sensing systems: 1) Manoeuvrability for frequent target re-visit resulting in a
range of off-nadir view orientations; and 2) An array of proposed space borne sensors providing scene re-visits covering a range of solar illumination conditions.

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