Journal of Agricultural Big Data ›› 2025, Vol. 7 ›› Issue (2): 213-219.doi: 10.19788/j.issn.2096-6369.000091

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Classification and Grading Method for Forestry Data

XUE YaDong(), QIN Lin*(), HUANG NingHui, MENG XianJin, ZHANG ShuiHua   

  1. Forestry Surveying and Designing Institute of Guangdong Province, Guangzhou 510520, China
  • Received:2024-12-16 Accepted:2025-01-08 Online:2025-06-26 Published:2025-06-23
  • Contact: QIN Lin

Abstract:

With the rapid development of forestry information technology, the forestry field has gradually realized the importance of data resources. This study aims to systematically manage forestry data by studying classification and grading methods. Firstly, forestry data can be classified into four categories based on their purposes: forestry basic geographic data, forestry survey and planning data, forestry business data, and public data; Secondly, based on the potential level of harm caused by data tampering, destruction, leakage, or illegal acquisition, it is classified into four security levels of 1-4. Through the development of forestry data sharing service specifications, a data security management system based on the intranet, government affairs network and the Internet environment is established to realize the standardization and institutionalization of data exchange, distribution and application, so as to promote the sharing service and collaborative application of forestry data in business.

Key words: forestry data, classification and grading, data security, secure sharing