CAFRI Labs: GNN SPP Fourier

Sam Gordon

GNN SPP Fourier

Modeling Species Composition with GNN and Fourier Phenometrics

Fourier Phenometrics were derived for the period from 2009-2019 from DAYMET Precipitation and Temperature and MODIS Enhanced Vegetation Index (EVI). No other predictors were included in this model. This model was based on Wilson, Lister, & Riemann (2012).

Reference

Wilson, B. T., Lister, A. J., & Riemann, R. I. (2012). A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data. Forest ecology and management, 271, 182-198.

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Citation

For attribution, please cite this work as

Gordon (2023, June 1). CAFRI Labs: GNN SPP Fourier. Retrieved from https://cafri-labs.github.io/acceptable-growing-stock/posts/gnn-spp-fourier/

BibTeX citation

@misc{gordon2023gnn,
  author = {Gordon, Sam},
  title = {CAFRI Labs: GNN SPP Fourier},
  url = {https://cafri-labs.github.io/acceptable-growing-stock/posts/gnn-spp-fourier/},
  year = {2023}
}