Simplified Level 2 Vegetation Processor - Canada Centre for Remote Sensing (SL2P-CCRS) for estimating biophysical variables using multispectral-imager data / R.A. Fernandes and N. Djamai.: M103-3/84-2024E-PDF

"There is a consensus requirement to globally monitor vegetation canopy biophysical variables at medium resolution (<1ha) and a frequency of <=10days. Multispectral satellite based imagers designed to satisfy measurement requirements for this task are and will continue to be available. The Simplified Level 2 Processor - Canada Centre for Remote Sensing (SL2P-CCRS) produces estimates of canopy biophysical variables given inputs of either a top-of-atmosphere (TOA) or top-of-canopy (TOC) bi-directional multispectral reflectance together with the illumination, view and relative azimuth angles. Separate non-linear regression models are used to estimate the expected value and the expected root mean square error of each variable. The regression estimators are optimized for multi-spectral (i.e. <10 bands with >10nm bandwidth) reflectance inputs but can be applied to arbitrary spectra as long as a radiative transfer model with sufficient accuracy to simulate such spectra is included in the processor. The parameterization, algorithm and sample results of SL2PD are presented and compared with its predecessor, SL2P"--Executive summary, page i.

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