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TitleA Modified Vegetation Index Using Shortwave Infrared Reflectance for Biophysical Parameter Retrieval
 
AuthorBrown, L J; Chen, J M; Leblanc, S GORCID logo; Cihlar, J
SourceFourth International Airborne Remote Sensing Conference and Exhibition/ 21st Canadian Symposium on Remote Sensing, Ottawa, Canada 21-24 June; 1999.
Year1999
Alt SeriesEarth Sciences Sector, Contribution Series 20042741
Documentbook
Lang.English
Mediapaper
AbstractIn preparation for use of new satellite sensors, such as VEGETATION onboard of SPOT-4 and the MODerate Resolution Imaging Spectrometer (MODIS) as part of the EOS AM1 system, the usefulness of shortwave infrared (SWIR) signal is investigated for deriving biophysical parameters. Our study in the boreal forest of Canada demonstrates that an empirical SWIR modification to the SR improves the retrieval of Leaf Area Index (LAI) by unifying deciduous and broadleaf species, and increasing the sensitivity of the LAI retrieval. This result suggests the possibility of not requiring a covertype stratification prior to LAI calculation, and has impact where no covertype information is to be made or where the mix of covertypes within a pixel is unknown. The SWIR modification also improves LAI retrieval in individual jack pine and black spruce canopies by reducing the effect of variation in understory composition. Simulations of canopy reflectance using a radiative transfer model, quantified the large potential variation in the SR at a given LAI caused by the type and amount of background observed. The modeling simulations also illustrate the increased sensitivity of the SWIR-modified SR and how the SWIR modification reduces the effect of background reflectance at low LAI.
GEOSCAN ID219543

 
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