Aboveground biomass estimation of mangrove species using ALOS-2 PALSAR imagery in Hai Phong City, Vietnam

Tien Dat Pham; Kunihiko Yoshino

doi:10.1117/1.JRS.11.026010

28 April 2017 Aboveground biomass estimation of mangrove species using ALOS-2 PALSAR imagery in Hai Phong City, Vietnam

Tien Dat Pham, Kunihiko Yoshino

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 026010 (April 2017). https://doi.org/10.1117/1.JRS.11.026010

Abstract

This study examined the potential of using the HH and HV backscatter from the Advanced Land Observing Satellite 2 (ALOS-2) with enhanced phased array L-band synthetic aperture radar (PALSAR) in high sensitive mode to estimate the above-ground biomass (AGB) of the two mangrove species of Hai Phong city, Vietnam. A positive correlation was observed between the mean backscattering coefficients of the dominant mangrove species at dual polarizations HH and HV and various biophysical parameters. In contrast, low correlations were observed between those coefficients and the tree densities for the two mangrove species. The AGB of the mangrove species were estimated at between 2.8 and 161.5 Mg ha − 1 with an average of about 39 Mg ha − 1 for Sonneratia caseolaris and between 27.6 and 209.2 Mg ha − 1 with an average of ∼ 100 Mg ha − 1 for Kandelia obovata. The main indicators used for the selection of the best potential models in estimating the AGB of different species were R 2 and the root-mean-square error (RMSE). The results showed a satisfactory correlation between model estimation and field-based measurements with R 2 = 0.51 , RMSE = 35.5

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Tien Dat Pham and Kunihiko Yoshino "Aboveground biomass estimation of mangrove species using ALOS-2 PALSAR imagery in Hai Phong City, Vietnam," Journal of Applied Remote Sensing 11(2), 026010 (28 April 2017). https://doi.org/10.1117/1.JRS.11.026010

Received: 11 August 2016; Accepted: 11 April 2017; Published: 28 April 2017

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