Estimation techniques of aboveground biomass in grassland ecosystems based on multi-source data integration
An artificial intelligence driven framework that integrates deep learning and ensemble learning is proposed that can effectively address the shortcomings of traditional methods and existing remote sensing estimations, and significantly improve the estimation performance of AGB in complex scenarios.