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TitleRetrieval of forest canopy parameters by inversion of the PROFLAIR leaf-canopy reflectance model using the LUT approach
AuthorOmari, K; White, H PORCID logo; Staenz, K; King, D J
SourceIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 6, issue 2, 2013 p. 715-723,
Alt SeriesEarth Sciences Sector, Contribution Series 20120470
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Mediapaper; on-line; digital
File formatpdf
AreaTimmins; Kam Kotia mine
Lat/Long WENS -81.5000 -81.0000 48.7500 48.5000
Subjectsgeophysics; remote sensing; vegetation; reflectance; PROFLAIR
Illustrationslocation maps; graphs; tables; flow charts
ProgramRemote Sensing Science
AbstractThe potential of simulating broad leaf forest canopy spectral reflectance using a canopy-leaf PROFLAIR (PROSPECT + FLAIR) model was investigated in this study. The model was inverted with hyperspectral Hyperion data using a look up table (LUT) approach to retrieve canopy leaf area index (LAI), leaf chlorophyll content (Ca+b) and canopy integrated chlorophyll content (LAI × Ca+b). The LUT was populated by simulating the model in forward mode using a space of realization generated based on the specific distribution of the input parameters and based on a priori information from the field. The estimated variables were then compared to ground measurements collected in the field. The results showed the ability of the PROFLAIR model to realistically simulate canopy spectral reflectance. When compared to ground measurements, the model showed a reasonable performance to retrieve canopy LAI with an RMSE of 0.47 and leaf chlorophyll content with an RMSE of 4.46 µg/cm2.
Summary(Plain Language Summary, not published)
This manuscript utilized a semi-physical model that used hyperspectral imagery from a space borne platform to look for potential stress in forest health near a mine tailings area that is actively being remediated. This paper used the semi-physical model (PROFLAIR) to validate ground observation of canopy structure and chlorophyll chemistry relative to distance from the tailings source (via water run-off) into the canopy.

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