Predicting distribution of microphytobenthos abundance on a reef platform by combining in situ underwater spectrometry and pigment analysis

Borrego-Acevedo, Rodney, Roelfsema, Chris M., Phinn, Stuart R. and Grinham, Alistair R. (2014) Predicting distribution of microphytobenthos abundance on a reef platform by combining in situ underwater spectrometry and pigment analysis. Remote Sensing Letters, 5 5: 461-470. doi:10.1080/2150704X.2014.922723


 
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Author Borrego-Acevedo, Rodney
Roelfsema, Chris M.
Phinn, Stuart R.
Grinham, Alistair R.
Title Predicting distribution of microphytobenthos abundance on a reef platform by combining in situ underwater spectrometry and pigment analysis
Journal name Remote Sensing Letters   Check publisher's open access policy
ISSN 2150-704X
2150-7058
Publication date 2014-06-06
Sub-type Article (original research)
DOI 10.1080/2150704X.2014.922723
Volume 5
Issue 5
Start page 461
End page 470
Total pages 10
Place of publication Abingdon, Oxfordshire, United Kingdom
Publisher Taylor & Francis
Language eng
Formatted abstract
An approach is presented to predict microphytobenthos (MPB) abundance at Heron Reef, Australia using a regression model between chlorophyll-a (chl-a) concentration and field measured spectral reflectance integrated to the blue spectral band of the Worldview-2 (WV-2) sensor. In situ underwater spectral reflectance was measured from benthic sediments and co-located sediment cores were collected to estimate their chl-a concentration. Chl-a features were visually identified in spectral reflectance curves by derivative analysis. Pigment composition analysis of benthic sediments enabled the presence of a relatively homogeneous and living MPB community to be inferred. Field spectral reflectance and chl-a concentration showed a negative correlation in blue and red wavelengths. Regression models between field spectral reflectance resampled to the WV-2 sensor’s bandwidths and chl-a concentration showed the highest coefficient of determination in the blue spectral band of the sensor. This ‘blue band’ model can be further applied to individual pixels of WV-2 images to produce spatially explicit and continuous maps of chl-a concentration, and hence MPB abundance, in Heron Reef.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Sat, 31 May 2014, 06:48:51 EST by Dr Alistair Grinham on behalf of School of Geography, Planning & Env Management