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FOREST RESOURCES WANAGEMENT ›› 2020, Vol. 0 ›› Issue (2): 173-180.doi: 10.13466/j.cnki.lyzygl.2020.02.026

• Research Bulletin • Previous Articles     Next Articles

Comparative Analysis of Regional Reliability of Globally Distributed Forest Products in China

LIU Daichao1,2(), LI Xiaosong2(), YANG Guangbin1, QI Xinmiao3, WANG Jianhe4   

  1. 1. School of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025
    2. Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094
    3. Chifeng Academy of Forestry Science,Chifeng 024000
    4. Inner Mongolia Autonomous Region Forestry Work Station,Hohhot 010010
  • Received:2020-03-11 Revised:2020-04-19 Online:2020-04-28 Published:2020-06-15
  • Contact: LI Xiaosong E-mail:liu_daic@163.com;lixs@radi.ac.cn

Abstract:

Accurately grasping forest distribution and dynamic changes is the foundation of forest resource management.At present,a series of global forest distribution products based on earth observation data have been developed and widely used.However,the reliability of these products in China is still lacking a systematic evaluation.Based on the forest sample data of seven typical regions in China,three types of global forest distribution product data such as FROM-GLC10,FNF,and GFCM were compared and analyzed using indicators such as type area deviation and spatial consistency.The results show that:FROM-GLC10 data area consistency,spatial consistency is higher than FNF,GFCM data products;the reliability of the three data products in the southern region is better than the northern region;in the forest type,the arbor forest type in three data has the highest spatial consistency,but the product data of other types are different.Through analysis and discussion,in order to provide a reference for the selection and use of suitable global forest distribution data products in different regions of China.

Key words: forest cover, earth observation, area consistency, spatial consistency, spatial error

CLC Number: