Estimating mangrove biophysical variables using Worldview-2 satellite data: Rapid Creek, Northern Territory, Australia

Heenkenda, Muditha K., Maier, Stefan W., and Joyce, Karen E. (2016) Estimating mangrove biophysical variables using Worldview-2 satellite data: Rapid Creek, Northern Territory, Australia. Journal of Imaging, 2 (3). pp. 1-19.

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Abstract

Mangroves are one of the most productive coastal communities in the world. Although we acknowledge the significance of ecosystems, mangroves are under natural and anthropogenic pressures at various scales. Therefore, understanding biophysical variations of mangrove forests is important. An extensive field survey is impossible within mangroves. WorldView-2 multi-spectral images having a 2-m spatial resolution were used to quantify above ground biomass (AGB) and leaf area index (LAI) in the Rapid Creek mangroves, Darwin, Australia. Field measurements, vegetation indices derived from WorldView-2 images and a partial least squares regression algorithm were incorporated to produce LAI and AGB maps. LAI maps with 2-m and 5-m spatial resolutions showed root mean square errors (RMSEs) of 0.75 and 0.78, respectively, compared to validation samples. Correlation coefficients between field samples and predicted maps were 0.7 and 0.8, respectively. RMSEs obtained for AGB maps were 2.2 kg/m² and 2.0 kg/m² for a 2-m and a 5-m spatial resolution, and the correlation coefficients were 0.4 and 0.8, respectively. We would suggest implementing the transects method for field sampling and establishing end points of these transects with a highly accurate positioning system. The study demonstrated the possibility of assessing biophysical variations of mangroves using remotely-sensed data.

Item ID: 45676
Item Type: Article (Refereed Research - C1)
Keywords: mangrove; above ground biomass; leaf area index; WorldView-2; partial least squares regression
Additional Information:

This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0).

ISSN: 2313-433X
Date Deposited: 12 Sep 2016 02:24
FoR Codes: 09 ENGINEERING > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing @ 60%
05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050206 Environmental Monitoring @ 40%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 60%
97 EXPANDING KNOWLEDGE > 970105 Expanding Knowledge in the Environmental Sciences @ 40%
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