摘要
准确掌握森林分布及动态变化是森林资源管理的基础。当前,一系列基于对地观测数据的全球森林分布产品已经被研发出来并得到了广泛应用。然而,这些产品在中国区域的可靠性尚缺乏系统性评价。基于中国7个典型区域的森林样本数据,采用类型面积偏差、空间一致性等指标对FROM-GLC10,FNF,GFCM等3个全球森林分布产品数据开展了比较分析。结果表明:FROM-GLC10数据面积一致性、空间一致性高于FNF,GFCM数据产品;3种数据产品的可靠性,在南方区域比北方区域好些;在森林类型中,乔木林类型在3种数据产品空间一致性上最高,但其他类型上各产品数据有所差异。通过分析探讨,以期为在中国不同区域选择和使用合适全球森林分布数据产品提供参考。
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.
作者
刘代超
李晓松
杨广斌
齐鑫淼
王建和
LIU Daichao;LI Xiaosong;YANG Guangbin;QI Xinmiao;WANG Jianhe(School of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025;Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094;Chifeng Academy of Forestry Science,Chifeng 024000;Inner Mongolia Autonomous Region Forestry Work Station,Hohhot 010010)
出处
《林业资源管理》
北大核心
2020年第2期173-180,共8页
Forest Resources Management
基金
国家科技重大专项(21-Y20A06-9001-17/18-3)。
关键词
森林分布
对地观测
面积一致性
空间一致性
空间误差
forest cover
earth observation
area consistency
spatial consistency
spatial error