A dataset of biomass estimation models and parameters of spruces in Xinjiang from 1980 to 2021

Abstract

Spruces are an important tree species in Xinjiang. Accurate estimation of spruce biomass plays an important role in evaluating forest ecological structure and forest carbon balance in Xinjiang. In this study, we collected the relevant literature of Xinjiang spruce biomass estimation model from CNKI, Web of Science and the National Public Service Platform for Standards Information by constructing a retrieval method. And we collated the literature and used CiteSpace software for visualized mapping, so as to create a dataset of biomass estimation models and parameters of spruces in Xinjiang from 1980 to 2021. Biomass estimation models consist of biomass estimation models based on measurable factors and biomass estimation models based on remote sensing, machine learning algorithm. The former has 13 types, 101 fitting formulas, applicable to the estimation of different spruce organs, and the ground biomass; the latter has 3 types, 12 fitting formulas, suitable for the estimation of spruce forest biomass. This dataset can provide model data support for the study on spruce biomass estimation in Xinjiang.