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【目的】研究不同立地质量类型对阔叶林碳储量遥感估测精度的影响。【方法】以2007年浙江建德市森林资源二类调查数据和TM影像为研究材料,根据区域的蓄积量-生物量转换因子连续函数法,并依据浙江省的生物量-碳储量含碳系数转换法计算阔叶林碳储量和地位级法评价立地质量等级,比较阔叶林地位质量等级中等以上、地位等级中等以下和不分地位等级3种碳储量遥感估测模型,并进行精度检验。【结果】以第1主成分为特征变量构建森林碳储量估测模型,相关系数R均在0.49以上,拟合效果较好;将森林碳储量回归模型预测值与实测值进行对比分析,不分地位级总体估测精度为65.89%,地位等级中等以上、地位等级中等以下类型总体估测精度分别为82.53%、83.09%。【结论】分不同立地质量类型可以提高阔叶林碳储量遥感估测精度。
【Objective】 The objective of this study was to study the effects of different site quality types on the accuracy of remote sensing estimation of carbon stocks in broad-leaved forests. 【Method】 Based on the survey data and TM images of forest resources in Jiande City, Zhejiang Province in 2007, according to the regional stock volume-biomass conversion factor continuous function method, and according to the carbon content of biomass-carbon storage in Zhejiang Province The conversion method was used to evaluate the site quality level of the broadleaf forest carbon storage and the status level method. The remote sensing estimation models of medium carbonaceous plantation above and above the middle, above and below the status rank were compared and the precision was tested. 【Result】 The results showed that the correlation coefficient R was above 0.49 with the first principal component as the characteristic variable, and the fitting effect was good. The predicted value of the forest carbon storage regression model was compared with the measured value, The overall estimation accuracy of the status level is 65.89%, and the overall ranking accuracy is 82.53% and 83.09%, respectively, with the status rank above the average. 【Conclusion】 The accuracy of remote sensing estimation of carbon stocks in broad-leaved forest can be improved by different site quality types.