. Author manuscript; available in PMC: 2019 Nov 1.

Published in final edited form as: ISPRS J Photogramm Remote Sens. 2018 Sep 26;145:250–267. doi: 10.1016/j.isprsjprs.2018.08.016

Table 1.

Statistics for Córdoba-CETT AERONET station AOD₄₄₀ data vs MAIAC AOD₄₇₀: total data (N), adjusted linear model coefficient (R²_adj), slope (a), intercept (b), Root Mean Square Error (RMSE= square root of the variance of the residuals) and Pearson correlation coefficient (r_pearson).

	MAIAC (Córdoba)			MODIS 3 km^*	MODIS 10 km^*	MAIAC (ensemble of Savanna/Grassland sites of Argentina, in Martins et al. 2017)
	Terra	Aqua	Terra & Aqua	Terra & Aqua	Terra & Aqua	Terra	Aqua
N	1480	715	2195	636	162	1232	1095
R²_adj	0.70	0.69	0.70	0.45	0.35	-	-
a	0.75	0.82	0.79	0.55	0.35	-	-
b	0.05	0.05	0.05	0.01	0.03	-	-
RMSE	0.04	0.04	0.04	0.05	0.06	0.04	0.04
r_pearson	0.83	0.84	0.83	0.67	0.59	0.87	0.91

Arithmetic mean of the MODIS data that are co-located (within 27.5 km) with ground-based AERONET measurement (± 30 minutes). Source: https://giovanni.gsfc.nasa.gov/aerostat/.