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Reflectance measures of grassland biophysical structure

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Abstract:

The goal of this study is to develop an efficient method to retrieve vegetation biophysical properties based on ground LAI measurements and satellite data, and thus avoid the labour-intensive and time-consuming process for collecting biomass and canopy height in the future. The field data was conducted in Grasslands National Park (GNP), Saskatchewan, Canada. The two vegetation indices, ATSAVI and RDVI, were derived from SPOT 4 HRV images to estimate LAI and to prepare LAI and biophysical maps for the GNP. The results demonstrated strong relationships between LAI and selected vegetation indices. However, a detailed accuracy assessment indicated that ATSAVI was likely to be better in estimating and mapping LAI than the RDVI. The accuracy of the LAI map was calculated to be 66.7%. The significant relationship between measured LAI and the biophysical data solves the difficulty for mapping biophysical information due to insufficient sampling coverage for GNP.

Document Type: Research Article

DOI: https://doi.org/10.1080/01431160802552751

Affiliations: 1: Department of Geography, University of Saskatchewan, Saskatoon, SK S7N 5A5, Canada 2: Western and Northern Service Centre, Parks Canada, Winnipeg, MB, R3B 0R9, Canada

Publication date: 2009-01-01

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