大气校正对九连山植被覆盖度。感估算的影响

石宽1; 刘琪璟1; 李法玲2; 焦志敏1; 周华1

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石宽1，刘琪璟1，李法玲2，焦志敏1，周华1.大气校正对九连山植被覆盖度。感估算的影响[J].广东农业科学,2014,41(9):198-

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Effects of atmospheric correction on remote sensingestimation of vegetation coverage in Jiulianshan

DOI：

中文关键词: 大气校正植被覆盖度精度九连山保护区

英文关键词: atmospheric correction vegetation coverage accuracy Jiulianshan reserve

基金项目:国家重大基础研究项目（1105-KJBGJHZ-001

作者	单位
石宽1，刘琪璟1，李法玲2，焦志敏1，周华1	1.北京林业大学省部共建森林培育与保护教育部重点实验室，北京100083； 2.福建省林业调查规划院，福建福州350001

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中文摘要:

以江西九连山保护区为例，利用基于归一化差异植被指数（NDVI）的像元二分法模型分别在TM 影像的原始DN 值、表观反射率以及经过基于MORTRAN 辐射传输模型和经过简单传输模型的黑暗像元法校正后的地面反射率的基础上对研究区的植被覆盖度进行提取，将所得4 类植被覆盖度的估算值与实测值进行比较，分析大气校正对植被覆盖度。感估算的影响。结果表明，FLAASH 和DOS 两种大气校正方法虽校正原理不同，但通过对样地实测值的拟合度来看，均能有效消除大气影响，有效提高植被覆盖度。感估算的精度；而辐射定标后的表观反射率却与原始影像DN 值估算的植被覆盖度差异不明显，说明植被覆盖度估算精度的提高来源于大气校正作用，辐射定标影响甚小。因此，在植被覆盖度较高的亚热带区域，有必要进行大气校正，以改善估算精度。

英文摘要:

The pixel dichotomy model based on normalized difference vegetation index (NDVI) was adopted to extract the vegetation coverage from original DN values of TM image, top of atmospheric, surface reflectance with MORTRAN radioactive transfer model and dark-object method of simple transmission model, which were compared with observed values of vegetation coverage, in order to analyze the effects of atmospheric correction on remote sensing estimation of vegetation coverage. The target area was Jiulianshan reserve located in southern Jiangxi province, an eastern province of China. Result showed that although the correction principle of two atmospheric correction approaches, including FLAASH and DOS, was different, but they performed significant for eliminating atmospheric effects, and the accuracy of remote sensing estimation on vegetation coverage was effectively improved, based on the degree of fitting to observed values in the sample plots. The vegetation coverage estimated by top of atmospheric after radiation calibration and original image DN values were not significantly different, illustrating that the improvement of vegetation coverage estimation accuracy was derived from the atmospheric correction, and the effect of radiation calibration on vegetation coverage estimation was very small. Therefore, atmospheric correction is meaningful for improving estimation accuracy in subtropical areas with high vegetation coverage.

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