Journal of Sensors

Research Article

Remote Sensing of Grassland Biophysical Parameters in the Context of the Sentinel-2 Satellite Mission

Table 3

Summary of the statistics (: number of observations; Adj. : adjusted coefficient of determination; : cross-validated Adj. ; RMSE: root mean square error; RMSE: cross-validated RMSE; NMRSE: normalized RMSE; NRMSE: cross-validated NRMSE) of the linear regression (model 1) between measured canopy chlorophyll content (CCC, mg m⁻²) and spectral vegetation indices (VIs) considering both years of observation together (2013 and 2014). The three best-fitting models are printed in bold. The best performing model is additionally highlighted in italic. All the regressions were statistically significant ().


Model	VI	CCC estimation statistical summary
			Adj.		RMSE	RMSE	NRMSE	NRMSE
		—	—	—	mg m⁻²	mg m⁻²	—	—

1	NDVI	32	0.75	0.69	235.49	261.77	0.15	0.16
	GNDVI		0.77	0.73	224.44	243.51	0.14	0.15
	RENDVI		0.81	0.77	207.08	224.73	0.13	0.14
	MTCI		0.76	0.73	230.08	245.05	0.14	0.15
	RECI		0.86	0.85	174.01	185.42	0.11	0.12
	GCI		0.85	0.83	180.40	191.87	0.11	0.12
	WDRWI		0.87	0.85	171.51	184.29	0.11	0.12
	EVI		0.79	0.75	218.14	235.34	0.14	0.15
	NDWI		*0.89*	*0.88*	*154.04*	*163.42*	*0.10*	*0.10*