- Job application work
- Coding non-linear parameter solver, works good so far on its own data:
400-1050 nm reflectance directional. Two lines, input and modeled are shown (hard to tell there are 2).
Changes in leaf angle cause major errors in the LAI estimation. This would need to be held constant if used ultimately. I will try to code an EVI at multiple spatial scales extractor, this should deal with the issues effecting the NDVI relationship…hopefully.
relationship for LAI of 8..good, with slight difference in low nm area. Input LAI of 8, output of 6.5. could be improved, but saturation is known to occur at high LAIs (leaf area index) for all vegetation indices so also would be happening within our hyperspectral dataset.
