Figure 3 | Scientific Reports

Figure 3

From: Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth

Figure 3

Simulated (Obs) versus observed (Obs) LAI of paddy rice for the datasets, obtained using the RF and DNN regressors in comparison with the baseline (BL) for (a–d) Cheorwon, (e–h) Paju, (i–l) Gimje, South Korea and (m–p) Pyeongyang, North Korea in (a, e, i, and m) 2014, (b, f, j, and n) 2015, (c, g, k, and o) 2016, and (d, h, l, and p) 2017. Sim LAI values were produced using a remote sensing-integrated crop model, while Obs LAI values of the BL were obtained from the MODIS imagery.

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