基于DEM差分法的TanDEMX数据森林高度估测

Forest Height Estimation of TanDEMX Data Based on DEM Difference Method

  • 摘要: 以现有Lidar获取的DEM (数字高程模型) 数据、CHM (冠层高模型) 和样地调查数据为辅助数据,基于干涉测高原理,以DEM差分法为例,分析该方法支持下TanDEMX数据在普洱研究区森林高度估测中的可行性。结果表明,TanDEMX数据在森林林分高度估测中具有很大的潜力,在有高精度地表DEM数据支持下,采用该法获得估测结果与Lidar数据获取的CHM (冠层高度模型) 数据较接近,两者的RMSE为439m, R2为070。此外,相位噪声对估测精度有严重影响,相位噪声剔除前后,估测结果与Lidar获取的CHM数据的R2分别为023和070。

     

    Abstract: Taken data of DEM (digital elevation model), CHM (canopy height model) obtained from Lidar and sample survey data as assisted data, the feasibility of forest height evaluation with TanDEMX data by DEM difference method based on interferometric elevation mensuration technique were analyzed in Puer test sites. The results showed that TanDEMX data have the potential capability in forest height assessments. With the support of high accurate DEM, the results could keep high coincidence with Lidar CHM, the RMSE of them was 439m and R2 was 070. Furthermore, the results also indicated that the phase noise dramatically affected the extraction accuracy of DSM and then affected the forest height assessment. Before elimination of phase noise, the R2 of the evaluation results and CHS was 023, but the value was 070 for the case that after phase noise correction.

     

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