“…Studies have demonstrated that the use of multi‐sensor data is better than single sensor data for accurate prediction of forest biomass (Li, Li, et al., 2020; Liu et al., 2019). However, improved methods like machine learning algorithms (MLAs), are also necessary to integrate the multi‐source data (Ghosh et al., 2020; Koch, 2010; Li, Li, et al., 2020, Li, Niu, et al., 2020; Srinet et al., 2019; Vasudeva et al., 2021) for improved estimation of forest AGB (Dang et al., 2019; Dhanda et al., 2017; Pandit et al., 2018). Hence, it is in this context, the present study attempts to map the forest canopy height by integrating ICESat‐2 and Sentinel‐1 data and investigate the effect of integrating forest canopy height information with Sentinel‐2 data‐derived spectral variables on the prediction of spatial distribution of forest AGB.…”