Paper Info
Title
Large-Scale Mangrove Canopy Height Map Generation From Tandem-X Data By Means Of Pol-Insar Techniques
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.
Year
DOI
Venue
2015
10.1109/IGARSS.2015.7326420
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
Mangrove, canopy height, Sundarbans, Pol-InSAR, TanDEM-X
Correlation coefficient,Data set,Interferometric synthetic aperture radar,Synthetic aperture radar,Computer science,Mangrove,Remote sensing,Lidar,Tropics,Canopy
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
5
8
Name
Order
Citations
PageRank
Seung-Kuk Lee116920.00
Temilola Fatoyinbo2167.40
david lagomasino3133.51
Batuhan Osmanoğlu4446.76
Marc Simard510617.12
Carl C. Trettin682.26
Mizanur Rahman712920.97
Imran Ahmed800.34