Landsat:LiDAR-AGB v0.0.5 Map Accuracy

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

Description

Map accuracy assessment for the v0.0.5 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-0.0.5

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	51.75	60.23	53.88	0.09	0.90	0.24	0.44	0.80
2	pooled	1139	NA	9.62	24.17	33.94	29.27	0.26	0.81	0.29	0.59	0.70
3	pooled	94	NA	30.76	25.44	39.50	34.20	0.48	0.53	0.48	0.72	0.76
4	pooled	2374	NA	130.61	11.18	59.18	47.55	0.31	0.20	0.00	0.66	0.21
5	pooled	105	NA	11.04	57.06	66.35	58.34	0.14	0.85	0.29	0.48	0.82
6	pooled	254	NA	79.95	6.51	57.57	46.03	0.41	0.28	0.00	0.64	0.28
8	pooled	14	NA	7.68	41.61	45.48	41.76	0.11	0.86	0.27	0.39	0.89

Table 2: Plot:Pixel Comparison

Group	n	PPH	Mean FIA	MBE	RMSE	MAE	R2	KS	AC	ACs	ACu
target_2013	678	NA	76.94	21.59	52.97	43.01	0.61	0.33	0.58	0.87	0.71
target_2014	657	NA	80.18	20.09	54.71	44.19	0.62	0.36	0.56	0.86	0.70
target_2015	648	NA	75.41	22.17	53.27	42.95	0.63	0.39	0.60	0.87	0.73
target_2016	626	NA	80.67	18.57	52.09	42.34	0.64	0.35	0.58	0.87	0.72
target_2017	604	NA	82.05	17.98	55.68	44.92	0.64	0.37	0.56	0.85	0.71
target_2018	599	NA	77.77	20.67	54.01	43.23	0.61	0.37	0.57	0.88	0.70
target_2019	594	NA	81.10	16.28	52.31	42.48	0.65	0.38	0.58	0.87	0.71
pooled	4406	NA	79.10	19.69	53.59	43.30	0.63	0.36	0.58	0.87	0.71

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	21.76	53.11	43.03	0.60	0.33	0.57	0.87	0.70
target_2014	614	1.07	78.72	20.81	53.23	43.15	0.62	0.35	0.58	0.87	0.71
target_2015	571	1.13	75.27	22.97	51.75	41.79	0.64	0.37	0.62	0.88	0.74
target_2016	564	1.11	79.54	19.25	51.58	41.75	0.64	0.35	0.59	0.87	0.72
target_2017	566	1.07	82.98	17.63	54.95	43.90	0.65	0.36	0.56	0.85	0.71
target_2018	550	1.09	77.42	20.91	52.97	42.53	0.62	0.37	0.59	0.88	0.71
target_2019	519	1.14	81.43	15.71	51.12	41.22	0.65	0.36	0.58	0.87	0.71
pooled	1502	2.93	77.59	20.12	39.39	31.82	0.69	0.21	0.67	0.87	0.80

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	24.03	37.95	30.46	0.67	0.25	0.66	0.84	0.82
target_2014	184	3.57	76.32	22.23	36.31	30.17	0.75	0.25	0.71	0.86	0.85
target_2015	183	3.54	70.96	24.49	39.37	31.47	0.64	0.26	0.64	0.83	0.81
target_2016	180	3.48	79.11	18.18	38.57	30.99	0.70	0.24	0.63	0.83	0.80
target_2017	182	3.32	80.10	18.04	40.33	32.51	0.69	0.24	0.64	0.85	0.78
target_2018	186	3.22	77.12	21.09	41.20	31.98	0.62	0.25	0.60	0.84	0.76
target_2019	179	3.32	80.40	17.53	39.66	30.39	0.65	0.22	0.61	0.87	0.74
pooled	204	21.60	73.01	22.91	30.80	24.37	0.77	0.27	0.71	0.82	0.89

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	26.75	35.37	27.48	0.70	0.32	0.66	0.78	0.88
target_2014	75	8.76	75.06	20.82	30.94	26.10	0.77	0.25	0.71	0.84	0.88
target_2015	77	8.42	69.65	24.73	35.41	28.94	0.60	0.30	0.61	0.79	0.82
target_2016	77	8.13	75.35	21.68	29.33	23.84	0.85	0.25	0.76	0.84	0.92
target_2017	74	8.16	78.54	18.87	28.38	23.24	0.82	0.26	0.75	0.86	0.90
target_2018	77	7.78	70.76	25.18	35.83	27.51	0.65	0.26	0.65	0.81	0.84
target_2019	76	7.82	78.22	20.24	37.95	28.32	0.57	0.29	0.57	0.83	0.74
pooled	85	51.84	70.63	24.37	31.69	25.22	0.72	0.35	0.66	0.78	0.89

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)