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Integrated Management and Administration

A New Mode for Forest Resource Monitoring in the Era of Big Data

  • Guosheng HUANG ,
  • Qian LIU ,
  • Ying PU ,
  • Xiangnan SUN
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  • Academy of Forest Inventory Planning,SFGA,Beijing 100714,China

Received date: 2020-09-24

  Revised date: 2020-11-30

  Online published: 2021-01-26

Abstract

Over the past six decades of exploration and development,China’s forest resources monitoring has made great progress.With the in-depth advancement of ecological civilization construction and forestry reform development,higher requirements have been placed on the timeliness,synergy,up-to-dateness of monitoring data and capabilities of information service.In the era of Big Data,a highly flexible “mosaic” concept is applied to build a new “mosaic” mode for forest resource monitoring.The original “sliced” patch data can be deeply integrated and shared in real time on the Internet,which significantly improves forest resources monitoring capabilities and information service.Constructed in accordance with the Big Data thinking,the National Forest Resources Smart Management Platform has the basic prototype of the Big Data Cloud Platform with forest resources monitoring “mosaic” mode.To adapt to the new requirements of ecological civilization and modernization of forestry,the platform should be extended and applied to various types of professional investigation and business applications,gradually establish a new mechanism,based on Big Data,for process monitoring and smart services of Internet plus data collection and business applications.Through data fusion,business digitization,data mining,and service collaboration technology innovation,the new mechanism will effectively enhance forest resources monitoring capabilities,improve the information service level and make new contributions to the high-quality development of forestry and grass industry.

Cite this article

Guosheng HUANG , Qian LIU , Ying PU , Xiangnan SUN . A New Mode for Forest Resource Monitoring in the Era of Big Data[J]. Forest and Grassland Resources Research, 2020 , 0(6) : 1 -5 . DOI: 10.13466/j.cnki.lyzygl.2020.06.001

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