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- W2311873995 abstract "The study generated forest canopy height model(CHM) using the low-density arborne Light Detection and Ranging(LiDAR),it sketched the stand polygons combined with the high-resolution Charge Coupled Device(CCD) digital camera image,and extracted the stand mean height by the improved recognition algorithm.The results showed that the overall accuracy of the total valid data was 74.86%,The accuracy was 75.62% for Robinia pseudoacacia,and 74.74% for Pinus tabulaeformis.The precision of broad-leaved was slightly higher than that of the conifer species owing to the influence of the point cloud density.Therefore,low-density LiDAR with high resolution CCD data can quickly and accurately extract the stand mean height." @default.
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- W2311873995 date "2010-01-01" @default.
- W2311873995 modified "2023-09-23" @default.
- W2311873995 title "Forest Mean Height Extraction Based on the Low-density Airborne LiDAR and CCD Data" @default.
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