Landsat:LiDAR-AGB v0.0.6 Map Accuracy

Map accuracy/agreement assessment following the Riemann et. al. framework.

Description

Map accuracy assessment for the v0.0.6 model-weighted-ensemble Landsat model trained on LiDAR-AGB surfaces. FIA data inventoried between 2013 and 2019 were considered for this assessment.

Model Document

Riemann et. al.

Branch used to produce this document: lj_landsat-lidar-0.0.6

FIA plot inclusion criteria

• All subplots must be sampled.
• Annual assessment vs pooled assessment:
  • For an annual assessment: only FIA plots sampled in the designated year were considered, and compared to the modeled AGB surface for said year.
  • For a pooled assessment: FIA plots inventoried in all years (2013-2019) were aggregated within each hex. Modeled values were extracted from each annual surface to match the inventory year for a particular FIA plot, but aggregated within each hex just the same.

Masking

No masking applied.

Agreement Statistics (SI corrected)

Table 1: Plot:Pixel Pooled x LCPRI

LCPRI	Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
1	pooled	426	NA	7.15	30.83	41.75	34.21	0.12	0.87	0.23	0.58	0.65
2	pooled	1139	NA	9.62	6.40	23.53	14.74	0.30	0.77	0.00	0.67	0.22
3	pooled	94	NA	30.76	12.87	35.56	28.33	0.38	0.40	0.32	0.82	0.50
4	pooled	2374	NA	130.61	-5.73	59.57	46.31	0.29	0.24	0.00	0.29	0.03
5	pooled	105	NA	11.04	7.66	21.10	12.14	0.56	0.72	0.56	0.94	0.62
6	pooled	254	NA	79.95	-10.96	58.12	42.99	0.43	0.22	0.00	0.57	0.42
8	pooled	14	NA	7.68	7.15	14.68	11.24	0.46	0.79	0.45	0.83	0.63

Table 2: Plot:Pixel Comparison

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	678	NA	76.94	4.08	48.27	35.52	0.62	0.31	0.42	0.87	0.55
target_2014	657	NA	80.18	2.10	51.60	36.59	0.61	0.33	0.34	0.83	0.51
target_2015	648	NA	75.41	3.47	49.79	35.70	0.62	0.34	0.41	0.87	0.54
target_2016	626	NA	80.67	0.57	48.59	34.95	0.65	0.32	0.41	0.86	0.55
target_2017	604	NA	82.05	-1.52	52.66	37.29	0.65	0.35	0.38	0.81	0.57
target_2018	599	NA	77.77	2.60	48.06	33.93	0.64	0.35	0.45	0.88	0.57
target_2019	594	NA	81.10	-2.10	47.69	34.21	0.69	0.35	0.49	0.86	0.64
pooled	4406	NA	79.10	1.39	49.56	35.47	0.64	0.33	0.40	0.85	0.55

Table 3: 8660 Ha Hex

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	643	1.05	76.75	4.23	48.36	35.57	0.61	0.30	0.41	0.87	0.54
target_2014	614	1.07	78.72	2.72	49.46	35.25	0.62	0.32	0.38	0.85	0.53
target_2015	571	1.13	75.27	4.02	47.65	34.20	0.63	0.32	0.45	0.89	0.57
target_2016	564	1.11	79.54	1.17	47.64	34.27	0.65	0.32	0.42	0.87	0.55
target_2017	566	1.07	82.98	-1.79	52.40	36.63	0.65	0.34	0.38	0.81	0.57
target_2018	550	1.09	77.42	2.68	47.07	33.31	0.65	0.35	0.47	0.89	0.58
target_2019	519	1.14	81.43	-2.64	46.60	33.56	0.69	0.33	0.50	0.85	0.65
pooled	1502	2.93	77.59	1.70	33.37	24.46	0.70	0.15	0.57	0.92	0.65

Table 4: 78100 Ha Hex

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	189	3.59	71.94	5.54	28.60	21.66	0.70	0.14	0.64	0.94	0.70
target_2014	184	3.57	76.32	3.09	28.44	21.63	0.77	0.16	0.67	0.92	0.75
target_2015	183	3.54	70.96	5.10	30.64	23.48	0.66	0.13	0.59	0.94	0.65
target_2016	180	3.48	79.11	-0.31	33.90	23.69	0.70	0.12	0.49	0.86	0.62
target_2017	182	3.32	80.10	-2.02	35.90	26.33	0.70	0.18	0.52	0.87	0.65
target_2018	186	3.22	77.12	2.23	33.95	24.87	0.66	0.13	0.49	0.89	0.60
target_2019	179	3.32	80.40	-0.71	33.42	24.03	0.69	0.15	0.53	0.90	0.63
pooled	204	21.60	73.01	3.75	19.58	13.73	0.80	0.10	0.77	0.96	0.80

Table 5: 216500 Ha Hex

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	80	8.47	67.72	7.22	19.77	14.86	0.81	0.15	0.80	0.95	0.85
target_2014	75	8.76	75.06	2.04	22.29	15.24	0.79	0.11	0.69	0.92	0.77
target_2015	77	8.42	69.65	5.82	27.90	18.19	0.54	0.12	0.50	0.95	0.54
target_2016	77	8.13	75.35	2.37	18.52	14.18	0.87	0.13	0.82	0.95	0.87
target_2017	74	8.16	78.54	-0.95	19.80	16.23	0.84	0.11	0.77	0.94	0.83
target_2018	77	7.78	70.76	5.91	23.44	17.65	0.73	0.13	0.70	0.96	0.75
target_2019	76	7.82	78.22	-0.37	26.17	18.90	0.72	0.12	0.57	0.91	0.66
pooled	85	51.84	70.63	4.62	17.17	11.06	0.82	0.11	0.79	0.96	0.83

ECDF Comparisons Across Scales - FIA Plots vs Mapped (SI corrected)

1:1 and GMFR Lines Across Scales - FIA Plots vs Mapped (SI corrected)

Spatial/Distribution Patterns of Local Differences (SI Corrected)

Target 2013 Distribution

Target 2016 Distribution

Target 2019 Distribution

Pooled Distribution

Spatial Differences

Patterns of Local Variability (SI Corrected)