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

Tien Dat Pham*, Kunihiko Yoshino

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

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 161.5Mg ha-1 with an average of about 39Mg ha-1 for Sonneratia caseolaris and between 27.6 and 209.2Mg ha-1 with an average of ∼100Mg 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 R2 and the root-mean-square error (RMSE). The results showed a satisfactory correlation between model estimation and field-based measurements with R2=0.51, RMSE=35.5Mg ha-1 for S. caseolaris and R2=0.64, RMSE=41.3Mg ha-1 for K. obovata. This research has illustrated the potential use of ALOS-2 PALSAR data in estimating the AGB of mangrove species in the tropics.

Original languageEnglish
Article number026010
Pages (from-to)026010-1-026010-17
Number of pages17
JournalJournal of Applied Remote Sensing
Volume11
Issue number2
DOIs
Publication statusPublished - Apr 2017
Externally publishedYes

Keywords

  • ALOS-2
  • aboveground biomass
  • Sonneratia caseolaris
  • Kandelia obovata. Hai Phong city

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