地形对植被覆盖度估算方法的影响

Impact of Terrain on Vegetation Coverage Estimation Method

在使用遥感技术估算植被覆盖度过程中,估算结果极易受到地形的影响,不同的估算方法受到的影响程度也不同。针对上述问题,选用SCS+C进行地形校正,并对比和定量分析了经地形校正后与未经地形校正及未经严格地形校正像元二分模型植被覆盖度估算结果的变化特征。结果表明,平地、丘陵估算结果受地形影响较小,3种方法估算结果相似;山地估算结果受到地形影响最大,存在显著性差异,其中阴坡估算结果整体性呈显著偏大趋势,阳坡估算结果略微减小,VFCTAVI估算结果优于VFCNDVI。该研究结论可以促进植被覆盖度实际生产和反演方法的改进。

In the process of estimating vegetation coverage using remote sensing technology,the estimation results are very susceptible to topography,and different estimation methods are affected differently.In view of the above problems,we used SCS+C to make topographic correction,and compared and quantitatively analyzed the variation characteristics of the dimidiate pixel model results after topographic correction and uncorrected topographic correction and uncorrected topographic correction pixel two model.The results showed that the terrain and hilly estimation results were less affected by the terrain,and the results of the three methods were similar.The results of the mountain estimation were most affected by the terrain,and there were significant differences.Among them,the overall nature of the estimation results of the slope was significantly larger,the estimation results of the sunny slope were slightly reduced,and the VFCTAVIestimation results were better than that of VFCNDVI.The conclusion of this study can promote the actual production of vegetation coverage and the improvement of inversion methods.