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Spatio-temporal variability in a turbid and dynamic tidal estuarine environment (Tasmania, Australia): an assessment of MODIS band 1 reflectance


Fischer, AM and Pang, D and Kidd, IM and Moreno-Madrinan, MJ, Spatio-temporal variability in a turbid and dynamic tidal estuarine environment (Tasmania, Australia): an assessment of MODIS band 1 reflectance, ISPRS International Journal of Geo-Information, 6, (11) Article 320. ISSN 2220-9964 (2017) [Refereed Article]


Copyright Statement

2017 by the Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3390/ijgi6110320


Patterns of turbidity in estuarine environments are linked to hydrodynamic processes. However, the linkage between patterns and processes remains poorly resolved due to the scarcity of data needed to resolve fine scale highly dynamic processes in tidal estuaries. The application of remote sensing technology to monitor dynamic coastal areas such as estuaries offers important advantages in this regard, by providing synoptic maps of larger, constantly changing regions over consistent periods. In situ turbidity measurements were correlated against the Moderate Resolution Imaging Spectrometer Terra sensor 250 m surface reflectance product, in order to assess this product for examining the complex estuarine waters of the Tamar estuary (Australia). Satellite images were averaged to examine spatial, seasonal and annual patterns of turbidity. Relationships between in situ measurements of turbidity and reflectance is positively correlated and improves with increased tidal height, a decreased overpass-in situ gap, and one day after a rainfall event. Spatial and seasonal patterns that appear in seasonal and annual MODIS averages, highlighting the usefulness of satellite imagery for resource managers to manage sedimentation issues in a degraded estuary.

Item Details

Item Type:Refereed Article
Keywords:coastal, estuary, water quality, tides, MODIS
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Coastal and estuarine systems and management
Objective Field:Coastal and estuarine systems and management not elsewhere classified
UTAS Author:Fischer, AM (Dr Andy Fischer)
UTAS Author:Pang, D (Mr Daniel Pang)
UTAS Author:Kidd, IM (Mr Ian Kidd)
ID Code:122128
Year Published:2017
Web of Science® Times Cited:8
Deposited By:Ecology and Biodiversity
Deposited On:2017-11-01
Last Modified:2018-05-30
Downloads:84 View Download Statistics

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