基于GF-2影像的人工龙竹林LAI遥感估测最优尺度选择

Optimal Scale Selection for LAI Estimation of Remote Sensing of Artificial Dendrocalamus giganteus Forest Based on GF-2 Image

  • 摘要: 以云南省沧源县大型丛生龙竹林为研究对象,以高分二号影像为主要信息源,结合地面32块标准地调查,采用地统计学变异函数和偏最小二乘回归模型,对区域尺度丛生龙竹LAI遥感估测最优尺度选择进行了分析。结果表明:基于变异函数分析的丛生龙竹最优尺度为6.9 m,基于PLSR模型分析的最优尺度为7 m,因此丛生龙竹的影像最优观测尺度为7 m。2种方法在空间最优尺度选择结果上接近,具有一致性,可为其他竹类参数遥感估测最优尺度的选择提供参考。

     

    Abstract: The large cluster Dendrocalamus giganteus forest in Cangyuan County, Yunnan Province was taken as the research object, and the GF-2 image was taken as the main information source. Combined with the investigation of 32 sample plots on the ground, the optimal scale selection of region-wide cluster D. giganteus LAI remote sensing estimation was analyzed by using geostatistical variograms method and partial least-squares regression model verification method. The results show that the optimal scale of the cluster D. giganteus is 6.9 m based on the variograms analysis, and the optimal scale based on the PLSR model is 7 m. So the optimal image observation scale of cluster D. giganteus is 7 m. The results of the 2 methods are close and consistent in the selection of spatial optimal scales and can be used as a reference for the selection of optimal scale for remote sensing estimation of other bamboo parameters.

     

/

返回文章
返回