Detecting Differences in Crown Transparency Assessments Between Countries using the Image Analysis System Croco

被引:0
作者
Nobuya Mizoue
Matthias Dobbertin
机构
[1] Miyazaki University,Division of Forest Science, Faculty of Agriculture
[2] Snow and Landscape Research WSL,Swiss Federal Institute for Forest
来源
Environmental Monitoring and Assessment | 2003年 / 89卷
关键词
crown transparency; forest health monitoring; image analysis; reference score;
D O I
暂无
中图分类号
学科分类号
摘要
Estimates of crown transparency calculated using the semi-automatic image analysis system CROCO were compared withthe visual estimates of survey teams from 12 European countries.For each of five European species (Norway spruce (Picea abies (L.) Karst.), silver fir (Abies alba Mill.), Scotspine (Pinus sylvestris L.), beech (Fagus sylvatica L.), oak (Quercus robur L.)) 15 trees were assessed. In 64\% of the comparisons, CROCO estimates and the survey teams' scores differed significantly, while differences between countries were significant in 58 % of all comparisons. We calculated Spearman's rank correlation and the standard deviation of the differences between CROCO and each country and between pairs of countries. We then computed the medians for CROCO and each country. CROCO and only a few countries hadfor all species a higher median correlation and lower median standard deviation than the median for the comparison between countries. In addition no country had a consistently higher correlation or lower standard deviation than CROCO. We concludethat CROCO can provide more consistent and less variable estimates of crown transparency than visual assessments and that it can serve as a reference to detect differences in visualtransparency assessments between countries over time.
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页码:179 / 195
页数:16
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