Landsat:LiDAR-AGB v0.0.8 Map Accuracy

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

Description

Map accuracy assessment for the v0.0.8 model-weighted-ensemble Landsat model trained on AOA-masked 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-0.0.8

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

LCMAP Collection 1.2 primary classification layers were used to mask out water, developed, and barren areas i.e. “!class %in% c(1, 5, 8)” pixels from the modeled AGB surfaces. Annual AGB surfaces were matched to the LMCAP layer from the same year.

NOTE: Masked AGB pixels are set to 0, and included in the agreement assessment just as any other AGB pixel.

Masked classes:

• 1: Developed
• 5: Water
• 8: Barren

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	-7.15	26.03	7.15	0.00	0.15	0.00	NA	NA
2	pooled	1139	NA	9.62	22.27	32.03	27.62	0.29	0.81	0.27	0.57	0.70
3	pooled	94	NA	30.76	24.09	39.89	34.13	0.42	0.57	0.44	0.72	0.71
4	pooled	2374	NA	130.61	3.92	57.55	45.45	0.32	0.17	0.00	0.55	0.02
5	pooled	122	NA	9.50	-9.50	28.54	9.50	0.00	0.15	0.00	NA	NA
6	pooled	254	NA	79.95	1.33	58.43	47.24	0.41	0.30	0.00	0.27	0.12
8	pooled	15	NA	7.17	-7.17	18.32	7.17	0.00	0.27	0.00	NA	NA

Table 2: Plot:Pixel Comparison

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	680	NA	76.71	10.57	48.11	35.98	0.63	0.22	0.57	0.94	0.64
target_2014	661	NA	79.69	8.42	50.39	36.90	0.63	0.23	0.54	0.92	0.62
target_2015	651	NA	75.06	9.99	47.74	35.56	0.66	0.26	0.60	0.93	0.67
target_2016	627	NA	80.54	6.05	47.52	35.28	0.66	0.22	0.56	0.93	0.63
target_2017	608	NA	81.51	4.96	51.77	37.86	0.65	0.25	0.50	0.89	0.61
target_2018	601	NA	77.51	7.93	47.66	35.18	0.65	0.25	0.57	0.93	0.64
target_2019	596	NA	80.83	3.60	46.61	34.55	0.70	0.26	0.56	0.90	0.66
pooled	4424	NA	78.78	7.45	48.58	35.91	0.65	0.24	0.56	0.92	0.63

Table 3: 8660 Ha Hex

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	645	1.05	76.51	10.68	48.35	36.05	0.62	0.21	0.56	0.94	0.63
target_2014	617	1.07	78.24	9.00	48.72	35.96	0.64	0.23	0.56	0.93	0.63
target_2015	574	1.13	74.87	10.74	46.30	34.38	0.66	0.25	0.61	0.94	0.68
target_2016	564	1.11	79.54	6.39	46.82	34.61	0.66	0.22	0.56	0.93	0.63
target_2017	568	1.07	82.36	4.64	51.26	37.19	0.65	0.24	0.50	0.89	0.61
target_2018	551	1.09	77.10	8.28	46.90	34.75	0.65	0.25	0.58	0.94	0.65
target_2019	521	1.14	81.11	2.94	45.56	33.65	0.70	0.25	0.55	0.90	0.65
pooled	1502	2.95	77.25	8.00	33.64	25.44	0.71	0.14	0.67	0.95	0.72

Table 4: 78100 Ha Hex

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	190	3.58	71.43	10.80	30.07	22.66	0.71	0.15	0.72	0.96	0.76
target_2014	184	3.59	75.98	10.17	30.67	23.75	0.74	0.15	0.72	0.95	0.77
target_2015	184	3.54	70.38	11.66	30.16	23.05	0.71	0.17	0.70	0.93	0.77
target_2016	180	3.48	79.06	4.67	33.23	24.16	0.71	0.12	0.62	0.93	0.69
target_2017	182	3.34	79.84	3.37	34.80	26.19	0.71	0.14	0.61	0.93	0.68
target_2018	186	3.23	76.60	7.61	34.83	25.79	0.64	0.15	0.58	0.93	0.64
target_2019	179	3.33	80.22	5.26	33.19	23.32	0.70	0.14	0.63	0.94	0.69
pooled	205	21.58	72.36	9.52	21.21	14.89	0.80	0.13	0.80	0.95	0.85

Table 5: 216500 Ha Hex

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	80	8.50	67.69	9.70	23.18	15.71	0.78	0.15	0.79	0.96	0.82
target_2014	75	8.81	74.61	8.24	24.24	18.58	0.75	0.15	0.73	0.94	0.79
target_2015	77	8.45	69.17	9.79	25.00	17.54	0.67	0.17	0.69	0.95	0.74
target_2016	77	8.14	75.22	6.93	20.01	14.73	0.85	0.12	0.84	0.97	0.87
target_2017	74	8.22	78.20	5.08	20.53	16.15	0.83	0.11	0.81	0.97	0.84
target_2018	77	7.81	70.36	10.95	24.84	18.17	0.73	0.17	0.74	0.94	0.79
target_2019	76	7.84	77.96	6.18	28.28	19.92	0.68	0.12	0.64	0.95	0.68
pooled	85	52.05	70.32	9.56	19.15	13.50	0.81	0.20	0.81	0.95	0.86

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)