Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China

Table 3

Linear model and accuracy of suspended solids concentration inversion.

Model type	Formula	Feature bands (nm)		RMSE (mg·L^−1)	ARE (%)
Single-band model		X: 1648.90–2213.92	0.466	246.613	668.671
Binary linear model		X1: 1648.9–2203.8301	0.614	8.679	44.233
		X2: 2092.8401–2133.24
		X1: 1517.83–2203.83	0.637	8.414	45.274
		X2: 1457.23–1991.96