Landsat Ensemble 1.0: LCMAP-RMSE Weighted

RMSE weighted ensemble of LINMOD models from Landsat:LiDAR-AGB 0.0.7 and Landsat:FIA 0.0.5

Lucas Johnson true
2021-10-12

Summary

Component model RMSE by LCMAP primary classification computed from plot:pixel results at Landsat:FIA 0.0.5 training plots.

Component Model Documents:

Component Model Map Accuracy:

RMSE Weighted Ensemble
RMSE 46.271
RMSE % 58.416
MBE 5.000
R2 0.680

AGB Distribution

summary(bind_rows(training, testing)$fia)

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   0.00    0.00   61.55   79.01  139.60  425.00

Metadata

Component Weights (%)

lcpri landsat_fia landsat_lidar
1 56.76 43.24
2 59.14 40.86
3 58.24 41.76
4 54.99 45.01
5 61.64 38.36
6 56.70 43.30
8 66.91 33.09

\(n\)

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

Johnson (2021, Oct. 12). CAFRI Labs: Landsat Ensemble 1.0: LCMAP-RMSE Weighted. Retrieved from https://cafri-labs.github.io/acceptable-growing-stock/posts/landsat-ensemble-10-lcmap-rmse-weighted/

BibTeX citation

@misc{johnson2021landsat,
  author = {Johnson, Lucas},
  title = {CAFRI Labs: Landsat Ensemble 1.0: LCMAP-RMSE Weighted},
  url = {https://cafri-labs.github.io/acceptable-growing-stock/posts/landsat-ensemble-10-lcmap-rmse-weighted/},
  year = {2021}
}