. Author manuscript; available in PMC: 2018 Oct 1.

Published in final edited form as: Remote Sens Environ. 2018 Aug 12;217:72–85. doi: 10.1016/j.rse.2018.08.005

Table 4.

Confusion matrix and accuracy metrics for the MCD64A1 Collection 6 and Collection 5.1 and MCD45A1 Collection 5.1 products, considering all the in-dependent reference data derived from 108 Landsat path/rows (Fig. 8). Accuracy metrics, which are described in the main text, consist of overall accuracy (OA), omission error (OE), commission error (CE), producer’s accuracy (PA), user’s accuracy (UA), and relative bias (B_rel).

MCD64 C6	Reference data
	Burned	Unburned	Row total
Burned [km²]	76,520	23,808	100,327	OA	0.97
	(2.81%)	(0.87%)	(3.67%)	OE	0.37
Unburned [km²]	45,705	2,581,562	2,627,268	CE	0.24
	(1.68%)	(94.6%)	(96.3%)	PA	0.63
Col. total [km²]	122,225	2,605,370	2,727,595	UA	0.76
	(4.48%)	(95.5%)		B _rel	−17.9%
MCD64 C51	Reference data
	Burned	Unburned	Row total
Burned [km²]	71,442	20,383	91,825	OA	0.97
	(3.08%)	(0.88%)	(3.97%)	OE	0.40
Unburned [km²]	47,292	2,175,683	2,222,975	CE	0.22
	(2.04%)	(94.0%)	(96.0%)	PA	0.60
Col. total [km²]	118,734	2,196,065	2,314,800	UA	0.78
	(5.13%)	(94.9%)		B _rel	–22.7%
MCD45 C51	Reference data
	Burned	Unburned	Row total
Burned [km²]	63,926	19,406	83,332	OA	0.97
	(2.44%)	(0.74%)	(3.18%)	OE	0.45
Unburned [km²]	51,710	2,483,134	2,534,845	CE	0.23
	(1.98%)	(94.8%)	(96.8%)	PA	0.55
Col. total [km²]	115,636	2,502,541	2,618,176	UA	0.77
	(4.41%)	(95.6%)		B _rel	–27.9%