Quality evaluation of forest cover products over China
WEN Yanan1,2(), CHE Yahui1,2, GUANG Jie1(), ZHANG Xiaomei1, LI Zhengqiang1
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China 2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Forest coverage is a common variable in forest management, monitoring and planning. It is also an important reference for biodiversity impact assessment and carbon storage quantification. Due to its objective, fast and macroscopic advantages, remote sensing technology has gradually been widely used in forest resources monitoring. In order to get better application of forest cover products based on remote sensing technology, validation and quality evaluation are particularly important. Two widely used forest cover products (UMD and JAXA FNF) were selected in this paper. UMD (University of Maryland) forest cover product was derived by EDENext Data Management Team from original datasets produced by UMD et al. 2013/UMD/Google/USGS/NASA. The forest/non-forest (FNF) product from ALSO/PALSAR data in 2015 was available on the Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA). Validation and quality evaluation were carried out by comparison between products and ground-based survey data. UMD and JAXA FNF forest cover products were compared through qualitative analysis and statistical analysis. The results show that the forest coverage rate of JAXA FNF in western, southern and central eastern China is significantly higher than that of UMD. In southeastern provinces of China, the consistency of UMD and JAXA FNF is better, but both of them are higher than ground-based data. In general, the accuracy of UMD is higher than that of JAXA FNF. Although the forest coverage data of UMD and JAXA FNF and GFW and CFGA are different in all provinces, the difference of JAXA FNF is larger, and the average absolute error of JAXA FNF is about 3 times of UMD.
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2020, Vol. 32 
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