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Proceedings Paper

Measuring mangrove biomass via remote sensing subpixel analysis
Author(s): Minhe Ji; Jia Hu; Jing Feng
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Paper Abstract

The method of "subpixel analysis" is explored to decompose mixed pixels of mangrove for biomass quantification. The basic idea is to treat the non-mangrove spectra of a mixed pixel as the background noise and iteratively remove them from further processing, so that the residual radiance can be matched to the characteristics of, and labeled as, the sampled mangrove spectra. This method requires spectral training only on the targeted cover type (i.e. mangrove in this study), thus it may drastically reduce the amount of human interference and minimize subjective bias in the analytic process. In addition, it can deal with complex and diverse spectra of the same target for better results. A DigitalGlobe's Quickbird multispectral image of Beilun Estuary was used as a test dataset to demonstrate this approach, with mangrove cover of the region being quantified into eight standardized biomass levels. The verification of the model results was performed using Quickbird panchromatic data from the same acquisition. An overall accuracy of 86.1% (Kappa=0.844) was reached, demonstrating the application potential of the subpixel analysis method in the forest ecosystem research and management.

Paper Details

Date Published: 12 August 2010
PDF: 6 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 780907 (12 August 2010); doi: 10.1117/12.860304
Show Author Affiliations
Minhe Ji, East China Normal Univ. (China)
Guangxi-ASEAN Marine Research Ctr. (China)
Jia Hu, East China Normal Univ. (China)
Jing Feng, East China Normal Univ. (China)


Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

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