王强, 舒清态, 赖虹燕, 等. 基于GF-2影像的人工龙竹林LAI遥感估测最优尺度选择[J]. 西南林业大学学报(自然科学), 2020, 40(1): 160–165 . DOI: 10.11929/j.swfu.201910074
引用本文: 王强, 舒清态, 赖虹燕, 等. 基于GF-2影像的人工龙竹林LAI遥感估测最优尺度选择[J]. 西南林业大学学报(自然科学), 2020, 40(1): 160–165 . DOI: 10.11929/j.swfu.201910074
Qiang Wang, Qingtai Shu, Hongyan Lai, Hongbin Luo, Dongling Wang, Dan Shan, Li Zi. Optimal Scale Selection for LAI Estimation of Remote Sensing of Artificial Dendrocalamus giganteus Forest Based on GF-2 Image[J]. Journal of Southwest Forestry University, 2020, 40(1): 160-165. DOI: 10.11929/j.swfu.201910074
Citation: Qiang Wang, Qingtai Shu, Hongyan Lai, Hongbin Luo, Dongling Wang, Dan Shan, Li Zi. Optimal Scale Selection for LAI Estimation of Remote Sensing of Artificial Dendrocalamus giganteus Forest Based on GF-2 Image[J]. Journal of Southwest Forestry University, 2020, 40(1): 160-165. DOI: 10.11929/j.swfu.201910074

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.

     

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