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- W2901153301 abstract "It has been a hot study field to extract forest structure parameter using Airborne LiDAR. Since footprints of Airborne LiDAR data are discontinuously distributed with small data coverage, therefore, it is impossible to obtain the forest structure information of continuous region using Airborne LiDAR data alone. The MODIS BRDF shape indicators contain the information regarding 3-D structure of forest and have the possibility to retrieve the structural parameters of forest. In this study, we select Howland Forest, Harvard Forest, La Selva Forest and Bartlett Forest as experimental areas, and aim to construct a canopy height estimation model from the airborne Laser Vegetation Imaging Sensor (LVIS) data and MODIS BRDF shape indicators. Firstly, H100 canopy height was extracted from the LVIS data and the MODIS BRDF shape indicators were calculated based on MODIS data. Secondly, using the Random Forest algorithm to develop a canopy height estimation model with H100 canopy height data and MODIS BRDF shape indicators. Finally, 10-fold cross-validation method is used to evaluate the accuracy of the model, and the validation results show that the MODIS BRDF shape indicators can be estimated forest canopy heights in high accuracy." @default.
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- W2901153301 date "2018-07-01" @default.
- W2901153301 modified "2023-09-26" @default.
- W2901153301 title "Forest Vertical Structure from MODIS BRDF Shape Indicators" @default.
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- W2901153301 doi "https://doi.org/10.1109/igarss.2018.8517831" @default.
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