Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data

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Huang, Xiang, et al. “Forest Canopy Height Extraction Method Based on ICESat-2 ATLAS Data”. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, pp. 1-14, https://doi.org/10.1109/tgrs.2023.3240848.
Huang, X., Cheng, F., Wang, J., Duan, P., & Wang, J. (2023). Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14. https://doi.org/10.1109/tgrs.2023.3240848
Huang, Xiang, Feng Cheng, Jinliang Wang, Ping Duan, and Jiasheng Wang. “Forest Canopy Height Extraction Method Based on ICESat-2 ATLAS Data”. IEEE Transactions on Geoscience and Remote Sensing 61 (2023): 1-14. https://doi.org/10.1109/tgrs.2023.3240848.
Huang X, Cheng F, Wang J, Duan P, Wang J. Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data. IEEE Transactions on Geoscience and Remote Sensing. 2023;61:1-14.
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Refrences
Title Journal Journal Categories Citations Publication Date
Research on Gaussian-LM algorithm based spectral auto stabilization of multi-channel gamma spectrometer 2020
Forest canopy height inversion from large-spot lidar data 2018
Comparison among reconstructionmethods for empirical mode decomposition components in runoff prediction 2017
The Mie scattering LiDAR return signal denoising research based on EMD-DISPO 2011
The de-noising algorithm of filtering based on empirical mode decomposition 2010