Aboveground biomass assessment in the Northern Tibet Plateau using ground-level remotely-sensed data

In this study, we modeled the aboveground biomass of the alpine meadow on the Northern Tibetan Plateau using seven models (i.e.linear,logarithmic,quadratic,cubic,power,growth,exponential) and three vegetation indices (i.e. normalized difference vegetation indices, NDVI; green normalized difference vegetation indices, GNDVI; soil adjusted vegetation indices, SAVI) obtained from an agriculture digital multispectral camera. Among all the vegetation indices, NDVI had the best, SAVI had the better and GNDVI had the worst fitting capability. Among all the models, the linear and exponential models of NDVI and the linear and power models of SAVI had an excellent fitting and estimating capability.