HIGHLIGHTS
- who: ufeffWenjunufeff ufeffLiuufeff and collaborators from the Chinese Academy of Forestry, China Northwest University have published the paper: Machine learning-based grassland aboveground biomass estimation and its response to climate variation in Southwest China, in the Journal: (JOURNAL)
- what: Since the RF was the most suitable model in this study, the importance of input variables for RF was calculated . In this study, four models were developed and tested for grassland AGB estimation on the Yunnan-Guizhou plateau. The research demonstrated the potential of combining SAR and high-resolution optical data to provide accurate AGB estimation . . .
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