CAFRI Labs: LiDAR x Stem Inclusion & Forest Conditions

Lucas Johnson

Description

Forest Criteria

“Completely Non-forested Plots Included”: Plots that are completely non-forested are included i.e. no mixed plots (forest & non-forest) are included.
“All Plots Included”: No forest condition checks are made.

AGB Computations

Subplot AGB only (used for all previous modeling and analysis)
Microplot AGB only
Combo AGB (Subplot AGB & Microplot AGB)

Tiers

Tier 1 and 2 plots were included here

Tier 1: Plot inventory year matches LiDAR acquisition year
Tier 2: Plot inventories exist before and after LiDAR acquisition (bracketing years). If no disturbances (percent AGB loss > 5%) are detected, then linear interpolation between bracketing inventories is used to temporally align plot AGB with LiDAR acquisition.

Looking at Biomass and LiDAR

Mid Heights

Max Height = 10-20m

Low Heights

Max Height = 10m

LiDAR-AGB Correlations

[AGB == 0 & LiDAR max-height > 10m] excluded

[AGB == 0 & LiDAR max-height > 1m] excluded

Correlation by LiDAR-Height Threshold

Microplot-only removed for clarity

40m Max Height

10m Max Height

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 (2022, Jan. 4). CAFRI Labs: LiDAR x Stem Inclusion & Forest Conditions. Retrieved from https://cafri-labs.github.io/acceptable-growing-stock/posts/lidar-x-stem-inclusion-forest-conditions/

BibTeX citation

@misc{johnson2022lidar,
  author = {Johnson, Lucas},
  title = {CAFRI Labs: LiDAR x Stem Inclusion & Forest Conditions},
  url = {https://cafri-labs.github.io/acceptable-growing-stock/posts/lidar-x-stem-inclusion-forest-conditions/},
  year = {2022}
}