Hudak-method models using LiDAR surfaces masked by both LCMAP and AOA. 2022-03-22
Last iteration: 2022-03-22 - Landsat AGB 0.0.7: Forced 0s
RF (ranger) | GBM (LightGBM) | Ensemble (model weighted) | Ensemble (RMSE weighted) | |
---|---|---|---|---|
RMSE | 38.315 | 38.187 | 36.989 | 36.878 |
RMSE % | 27.202 | 27.112 | 26.261 | 26.182 |
MBE | -2.168 | -9.205 | -7.341 | -5.757 |
R2 | 0.783 | 0.792 | 0.802 | 0.802 |
summary(bind_rows(training, testing)$agb_mgha)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00673 70.70000 141.00000 140.86577 212.00000 280.45026
RMSE | Min | Median | Max |
---|---|---|---|
Rf | 34.045 | 34.876 | 35.456 |
Lgb | 32.603 | 33.384 | 33.901 |
Ensemble | 32.218 | 32.963 | 33.534 |
R2 | Min | Median | Max |
---|---|---|---|
rf | 0.810 | 0.816 | 0.826 |
lgb | 0.826 | 0.831 | 0.839 |
ensemble | 0.831 | 0.836 | 0.843 |
lgb rf
0.5100569 0.4899431
Call:
lm(formula = agb_mgha ~ rf_pred * lgb_pred, data = pred_values)
Residuals:
Min 1Q Median 3Q Max
-190.091 -16.215 -0.639 17.001 185.827
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.075665890 0.108583211 -19.116 < 2e-16
rf_pred 0.355271651 0.001971459 180.207 < 2e-16
lgb_pred 0.649312190 0.001865869 347.994 < 2e-16
rf_pred:lgb_pred 0.000036750 0.000005643 6.513 0.0000000000737
(Intercept) ***
rf_pred ***
lgb_pred ***
rf_pred:lgb_pred ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 32.79 on 1199996 degrees of freedom
Multiple R-squared: 0.8369, Adjusted R-squared: 0.8369
F-statistic: 2.052e+06 on 3 and 1199996 DF, p-value: < 2.2e-16
Random forest:
$num.trees
[1] 1000
$mtry
[1] 11
$min.node.size
[1] 2
$sample.fraction
[1] 1
$splitrule
[1] "variance"
$replace
[1] FALSE
$formula
agb_mgha ~ .
LGB:
$params
$params$num_leaves
[1] 18
$params$max_depth
[1] -1
$params$extra_trees
[1] FALSE
$params$min_data_in_leaf
[1] 10
$params$bagging_fraction
[1] 0.8
$params$bagging_freq
[1] 1
$params$feature_fraction
[1] 0.9
$params$min_data_in_bin
[1] 8
$params$lambda_l1
[1] 6
$params$lambda_l2
[1] 7
$params$learning_rate
[1] 0.1
$params$force_col_wise
[1] TRUE
$params$nrounds
[1] 6000
If you see mistakes or want to suggest changes, please create an issue on the source repository.
For attribution, please cite this work as
Mahoney (2022, March 22). CAFRI Labs: Landsat:LiDAR AGB 0.0.8: Another One. Retrieved from https://cafri-labs.github.io/acceptable-growing-stock/posts/landsatlidar-agb-008-another-one/
BibTeX citation
@misc{mahoney2022landsat:lidar, author = {Mahoney, Mike}, title = {CAFRI Labs: Landsat:LiDAR AGB 0.0.8: Another One}, url = {https://cafri-labs.github.io/acceptable-growing-stock/posts/landsatlidar-agb-008-another-one/}, year = {2022} }