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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
