Frontiers of Data and Computing ›› 2023, Vol. 5 ›› Issue (1): 65-73.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.01.006

doi: 10.11871/jfdc.issn.2096-742X.2023.01.006

• Special Issue: Resources, Technology and Policy of Scientific Data • Previous Articles     Next Articles

Study on Quality Control Method and Technology about Forest Tree Biomass Weight Data

GUO Xuebing1,2,*(),ZHANG Li1,2,3,HE Honglin1,2,3   

  1. 1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China
    2. National Ecosystem Science Data Center, Beijing 100101, China
    3. Resources and Environment Academy, University of Chinese Academy of Sciences, Beijing 100190,China
  • Received:2022-03-23 Online:2023-02-20 Published:2023-02-20
  • Contact: GUO Xuebing E-mail:guoxb@igsnrr.ac.cn

Abstract:

[Objective] Forest field stations dynamically carry on forest biomass observation during a long period, the obtained data possess important values to support calculation of forest carbon storage amount and estimation of forest productivity, and so on. Tree biomass weight (TBW) is the basis for calculating forest biomass. Thus, good TBW data quality is essential to TBW long-term observation, and is also the foundation for obtaining correct conclusions via scientific research. [Methods] Method, standardization, and advanced information technology for TBW data quality control (QC) are three aspects to promote data quality. Firstly, the paper introduces the flow of TBW data production, TBW data schema, and standardization of data items in forest field stations of the Chinese Ecosystem Research Network (CERN). Secondly, the main framework, standards, and methods of data QC are described. Lastly, the paper illustrates how information technologies (program by OLE technology, multi-processing computation by Python) are applied to the procedure of checking the validity of field observed data and derived data. [Results] The paper presents a way for quick validation check of data consistency and accuracy, which is helpful in formulating standardized QC flow utilized and referred by forest field stations to process their multiple plots of TBW data efficiently.

Key words: forest tree, tree biomass weight, data quality control, Object Linking and Embedding, Chinese Ecosystem Research Network