SISTER Vegetative Traits Product Generation Executive (PGE)

The L2B SISTER Vegetative Trait PGE takes as input corrected surface reflectance and a fractional cover map. The PGE applies partial least squares regression (PLSR) algorithms to generate maps of the following vegetation canopy traits: chlorophyll content (ug cm-2), nitrogen concentration (mg g-1), and leaf mass per area (g m-2). Permuted PLSR models were developed using coincident NEON AOP canopy spectra, downsampled to 10 nm, and field data collected by Wang et al. (2020). In addition to biochemical trait estimates, per-pixel uncertainties are calculated as well as a quality assurance mask which flags pixels with trait estimates outside of the range of data used to build the model. Output format is a GeoTIFF for each of the vegetative traits with metadata in JSON format.This repository holds an archive of the source code (sister*.tar.gz) with full Common Workflow Language (CWL) per the Open Geospatial Consortium (OGC) Best practice document (https://docs.ogc.org/bp/20-089r1.html): a docker container (ogc*.tar.gz) and a process file (*.cwl).