An efficient method for estimating tropical forest canopy height from airborne PolInSAR data

Author:

Luo Hongbin,Yue Cairong,Wu Yong,Zhang Xiaoli,Lu Chi,Ou Guanglong

Publisher

Elsevier BV

Reference49 articles.

1. Armston, J., Tang, H., Hancock, S., et al., 2016. AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, ORNL DAAC, Oak Ridge, 2020, Tennessee, USA.https://doi.org/10.3334/ORNLDAAC/1775.

2. Extraction of forest structural parameters based on the intensity information of high-density airborne light detection and ranging;Cao;J. Appl. Remote Sens.,2012

3. Forest canopy height estimation using polarimetric interferometric synthetic aperture radar (PolInSAR) technology based on full-polarized ALOS/PALSAR data;Chen;Remote Sens. (Basel),2021

4. Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data[J];Chirici;Journal of Geophysical Research-Biogeosciences,2016

5. Cloude, S.R., Papathanassiou, K.P., 2003. Three-stage inversion process for polarimetric SAR interferometry. Radar, Sonar and Navigation.IEE Proceedings, 150(3),125-134.

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