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- Liu, Shuman, et al. Show all 6 Authors
- International journal of remote sensing 2019 v.40 no.10 pp. 3835-3854
- aboveground biomass; arid lands; climate change; ecosystems; grasslands; normalized difference vegetation index; reflectance; remote sensing; satellites; soil; spatial data; statistical models; uncertainty; vegetation cover; China
- ... Remote sensing could be the most effective means for scaling up grassland above-ground biomass (AGB) from the sample scale to the regional scale. Remote sensing approaches using statistical models based on vegetation indexes (VIs) are frequently used because of their simplicity and reliability. And many researchers have already proven the method is scientific, feasible, and can bring relatively be ...