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林业科学 ›› 2011, Vol. 47 ›› Issue (7): 13-19.doi: 10.11707/j.1001-7488.20110703

• 论文 • 上一篇    下一篇

基于C-FIX模型的黑龙江省森林植被净初级生产力遥感估算

张冬有1, 冯仲科1,2, 李亦秋3, 张丽娟1, 董斌4   

  1. 1. 黑龙江省普通高等学校地理环境遥感监测重点实验室 哈尔滨师范大学 哈尔滨 150025;2. 北京林业大学 北京 100083;3. 绵阳师范学院 绵阳 621000;4. 安徽农业大学 合肥230036
  • 收稿日期:2010-04-17 修回日期:2010-12-22 出版日期:2011-07-25 发布日期:2011-07-25

Remote Sensing Estimation of Forest Net Primary Productivity in Heilongjiang Province with C-FIX Model

Zhang Dongyou1, Feng Zhongke1,2, Li Yiqiu3, Zhang Lijuan1, Dong Bin4   

  1. 1. Key Laboratory of Remote Sensing Monitoring of Geographic Environment, College of Heilongjiang Province Harbin Normal University Harbin 150025;2. Beijing Forestry University Beijing 100083;3. Mianyang Normal University Mianyang 621000;4. Anhui Agricultural University Hefei 230036
  • Received:2010-04-17 Revised:2010-12-22 Online:2011-07-25 Published:2011-07-25

摘要:

以黑龙江省森林资源为研究对象,利用ETM+、DEM和气象数据等资料,以C-FIX模型为基础,估算黑龙江省2000年5-9月的森林植被NPP,并将估算结果与MODIS的NPP产品进行对比分析。结果表明: 5-9月林地总NPP为69.75×1012 gC,最大值出现在6月,占5-9月NPP总量的27.23%,6-8月是NPP的主要积累月份; 有林地NPP占林地总量的87.44%,灌木林地占10.41%,疏林地占1.63%,其他林地占0.52%; MODIS的NPP产品与模型估算值之间的均方差根为17.12,模型模拟值误差为MODIS NPP产品值的3.92%~5.85%,模型估算精度较高。

关键词: 净初级生产力, 遥感估测, C-FIX模型, 黑龙江省

Abstract:

The C-FIX model was used to estimate the forest vegetation NPP of Heilongjiang Province from May to September in 2000 based on ETM+, DEM and meteorological data,and the estimated results were compared with the MODIS NPP products. The result showed that the gross NPP of forests in Heilongjiang from May to September in 2000 was 69.75×1012 gC, with the greatest monthly gross NPP occurred in June; accounted for 27.23% of the total NPP from May to September. June, July and August were the main months for accumulation of NPP. The total NPP of forests was 60.99×1012 gC, accounted for 87.44% of the total NPP from May to September; among which the total NPP of shrub land accounted for 10.41%; the gross NPP of open forest land accounted for 1.63%; and the gross NPP of other forest land accounted for 0.52%. The root mean square error was 17.12 between MODIS product value and estimated value, and the error of estimated NPP with the MODIS was from 3.92% to 5.85%.

Key words: net primary production, remote sensing estimation, C-FIX model, Heilongjiang Province

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