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在林业碳汇量估算中遥感方法的应用分析
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Abstract:
研究针对没有样地数据的林业碳汇量估算，将遥感手段引入其中，作为现行林业碳汇量估算方式的补充。方法选择参考森林碳汇量估算方法，结合林业碳汇量特征，加以改进使之更符合用林业碳汇量估算。以三种方法对研究区碳储量进行估算，生物量方程法的估算结果最小值为1.97 MgC到最大值7.91 MgC；光能利用率法的估算结果最小值为0.57 MgC到最大值9.75 MgC；NDVI反演法的估算结果最小值为1.36 MgC到最大值8.68 MgC。光能利用率法估算的碳储量空间分布为由北向南、由西向东逐渐递增，NDVI反演法估算的碳储量空间分布为由南向北、由东向西逐渐递增。将生物量方程法的估算结果作为真实数据，分别用光能利用率法和NDVI反演法与真实数据进行结果拟合，NDVI反演法的最终拟合效果最好，并且碳储量空间分布也更符合实际。
In this study, for the estimation of forest carbon sink without sample plot data, remote sensing is introduced into the estimation of forest carbon sink as a supplement to the current estimation method of forest carbon sink. Methods The reference forest carbon sink estimation method was selected, combined with the characteristics of forest carbon sink, and improved to make it more in line with the estimation of forest carbon sink. Three methods were used to estimate the carbon storage in the study area. The minimum value of biomass equation method was 1.97 MgC to the maximum value of 7.91 MgC. The minimum value of the light energy utilization method is 0.57 MgC to the maximum value of 9.75 MgC; the minimum value of NDVI inversion method is 1.36 MgC to the maximum value of 8.68 MgC. The spatial distribution of carbon storage estimated by the light energy utilization method is gradually increasing from north to south and from west to east. The spatial distribution of carbon storage estimated by NDVI inversion method is gradually increasing from south to north and from east to west. The estimation results of biomass equation method were used as real data, and the results were fitted by light energy utilization method and NDVI inversion method with real data. The final fitting effect of NDVI inversion method was the best, and the spatial distribution of carbon storage was more realistic.？
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