Applying landcover masks to USGS_3County2014 LiDAR-year AGB surface.
Target Year: 2016
Model: linmod
Input AGB: https://github.com/cafri-labs/current-agb
Models: https://cafri-labs.github.io/model-updates/2021_02_03_big_tune.html
name | total_agb_mmt |
---|---|
original (2014) | 84.33 |
ccap masked (2016) | 78.50 |
lcmap base masked (2014) | 77.82 |
lcmap update masked (2016) | 77.73 |
from | to | change_mt | percent_change |
---|---|---|---|
original (2014) | ccap masked (2016) | -5835730.21 | -6.92 |
original (2014) | lcmap base masked (2014) | -6514439.91 | -7.72 |
lcmap base masked (2014) | lcmap update masked (2016) | -86196.04 | -0.11 |
If you see mistakes or want to suggest changes, please create an issue on the source repository.
For attribution, please cite this work as
Johnson (2021, April 8). CAFRI Labs: AGB Post-processing Results: USGS_3County2014. Retrieved from https://cafri-labs.github.io/acceptable-growing-stock/posts/agb-post-processing-results-usgs3county2014/
BibTeX citation
@misc{johnson2021agb, author = {Johnson, Lucas}, title = {CAFRI Labs: AGB Post-processing Results: USGS_3County2014}, url = {https://cafri-labs.github.io/acceptable-growing-stock/posts/agb-post-processing-results-usgs3county2014/}, year = {2021} }