Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques. Lee, S. K., Fatoyinbo, T., Lagomasino, D., Osmanoglu, B., Simard, M., Trettin, C., Rahman, M., & Ahmed, I. International Geoscience and Remote Sensing Symposium (IGARSS), 2015-Novem:2895–2898, ieeexplore.ieee.org, 2015. ![Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Mangroves are among the most-carbon rich forest in subtropics and tropics, containing on average 1,023 Mg carbon per hectare [1]. In order to better estimate mangrove biomass, carbon dynamics and land coverage changes, mangrove canopy height is a key parameter. However, there is a surprisingly absence of information needed for global-scale mangrove height mapping because of the lack of high spatial resolution data, available spaceborne data sets, and modeling techniques. In recent studies, the first single-pass TanDEM-X data showed a great possibility of mangrove canopy height estimate with accuracies comparable to airborne lidar canopy height model with single- and dual-Pol-InSAR techniques. Based on the method mentioned in [2], we here generated large-scale mangrove canopy height map with a 12-m spatial resolution over Sundarbans, the world largest mangrove forest, from existing global TDX acquisitions. The inversion result for mangrove canopy height was validated against field measurement data; a correlation coefficient of 0.852 and a RMSE of 0.774 m.
@article{pop00114,
abstract = {Mangroves are among the most-carbon rich forest in subtropics and tropics, containing on average 1,023 Mg carbon per hectare [1]. In order to better estimate mangrove biomass, carbon dynamics and land coverage changes, mangrove canopy height is a key parameter. However, there is a surprisingly absence of information needed for global-scale mangrove height mapping because of the lack of high spatial resolution data, available spaceborne data sets, and modeling techniques. In recent studies, the first single-pass TanDEM-X data showed a great possibility of mangrove canopy height estimate with accuracies comparable to airborne lidar canopy height model with single- and dual-Pol-InSAR techniques. Based on the method mentioned in [2], we here generated large-scale mangrove canopy height map with a 12-m spatial resolution over Sundarbans, the world largest mangrove forest, from existing global TDX acquisitions. The inversion result for mangrove canopy height was validated against field measurement data; a correlation coefficient of 0.852 and a RMSE of 0.774 m.},
annote = {Query date: 2022-01-08 13:52:06},
author = {Lee, Seung Kuk and Fatoyinbo, Temilola and Lagomasino, David and Osmanoglu, Batuhan and Simard, Marc and Trettin, Carl and Rahman, Mizanur and Ahmed, Imran},
doi = {10.1109/IGARSS.2015.7326420},
isbn = {9781479979295},
journal = {International Geoscience and Remote Sensing Symposium (IGARSS)},
keywords = {Mangrove,Pol-InSAR,Sundarbans,TanDEM-X,canopy height},
pages = {2895--2898},
publisher = {ieeexplore.ieee.org},
title = {{Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques}},
url = {https://ieeexplore.ieee.org/abstract/document/7326420/},
volume = {2015-Novem},
year = {2015},
bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/7326420/},
bdsk-url-2 = {https://doi.org/10.1109/IGARSS.2015.7326420}}
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