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.
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}}
Downloads: 0
{"_id":"8NFpXmZaEtobxZFfa","bibbaseid":"lee-fatoyinbo-lagomasino-osmanoglu-simard-trettin-rahman-ahmed-largescalemangrovecanopyheightmapgenerationfromtandemxdatabymeansofpolinsartechniques-2015","downloads":0,"creationDate":"2016-02-17T10:30:09.233Z","title":"Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques","author_short":["Lee, S. K.","Fatoyinbo, T.","Lagomasino, D.","Osmanoglu, B.","Simard, M.","Trettin, C.","Rahman, M.","Ahmed, I."],"year":2015,"bibtype":"article","biburl":"https://bibbase.org/f/QuyPCTZrDuyGQ5aSe/MyCollection.bib","bibdata":{"bibtype":"article","type":"article","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":[{"propositions":[],"lastnames":["Lee"],"firstnames":["Seung","Kuk"],"suffixes":[]},{"propositions":[],"lastnames":["Fatoyinbo"],"firstnames":["Temilola"],"suffixes":[]},{"propositions":[],"lastnames":["Lagomasino"],"firstnames":["David"],"suffixes":[]},{"propositions":[],"lastnames":["Osmanoglu"],"firstnames":["Batuhan"],"suffixes":[]},{"propositions":[],"lastnames":["Simard"],"firstnames":["Marc"],"suffixes":[]},{"propositions":[],"lastnames":["Trettin"],"firstnames":["Carl"],"suffixes":[]},{"propositions":[],"lastnames":["Rahman"],"firstnames":["Mizanur"],"suffixes":[]},{"propositions":[],"lastnames":["Ahmed"],"firstnames":["Imran"],"suffixes":[]}],"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","bibtex":"@article{pop00114,\n\tabstract = {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.},\n\tannote = {Query date: 2022-01-08 13:52:06},\n\tauthor = {Lee, Seung Kuk and Fatoyinbo, Temilola and Lagomasino, David and Osmanoglu, Batuhan and Simard, Marc and Trettin, Carl and Rahman, Mizanur and Ahmed, Imran},\n\tdoi = {10.1109/IGARSS.2015.7326420},\n\tisbn = {9781479979295},\n\tjournal = {International Geoscience and Remote Sensing Symposium (IGARSS)},\n\tkeywords = {Mangrove,Pol-InSAR,Sundarbans,TanDEM-X,canopy height},\n\tpages = {2895--2898},\n\tpublisher = {ieeexplore.ieee.org},\n\ttitle = {{Large-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniques}},\n\turl = {https://ieeexplore.ieee.org/abstract/document/7326420/},\n\tvolume = {2015-Novem},\n\tyear = {2015},\n\tbdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/7326420/},\n\tbdsk-url-2 = {https://doi.org/10.1109/IGARSS.2015.7326420}}\n\n","author_short":["Lee, S. K.","Fatoyinbo, T.","Lagomasino, D.","Osmanoglu, B.","Simard, M.","Trettin, C.","Rahman, M.","Ahmed, I."],"bibbaseid":"lee-fatoyinbo-lagomasino-osmanoglu-simard-trettin-rahman-ahmed-largescalemangrovecanopyheightmapgenerationfromtandemxdatabymeansofpolinsartechniques-2015","role":"author","urls":{"Paper":"https://ieeexplore.ieee.org/abstract/document/7326420/"},"keyword":["Mangrove","Pol-InSAR","Sundarbans","TanDEM-X","canopy height"],"metadata":{"authorlinks":{}}},"search_terms":["large","scale","mangrove","canopy","height","map","generation","tandem","data","means","pol","insar","techniques","lee","fatoyinbo","lagomasino","osmanoglu","simard","trettin","rahman","ahmed"],"keywords":["mangrove","pol-insar","sundarbans","tandem-x","canopy height"],"authorIDs":[],"dataSources":["XA98H7MrAfSrDfP6g","ywd4gEqKj4mYpN82n"]}