DocumentCode :
68700
Title :
Improved Understanding of Suspended Sediment Transport Process Using Multi-Temporal Landsat Data: A Case Study From the Old Woman Creek Estuary (Ohio)
Author :
In-Young Yeo ; Lang, Michael ; Vermote, Eric
Author_Institution :
Dept. of Geogr. Sci., Univ. of Maryland, College Park, MD, USA
Volume :
7
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
636
Lastpage :
647
Abstract :
We used historical water quality data, continuous in situ water quality monitoring data, and multi-temporal Landsat-7 ETM+ imagery for the period of September 1999-April 2003 to study the distribution of total suspended sediments (TSS) in Old Woman Creek (OWC), a freshwater coastal wetland adjacent to Lake Erie. A multiple linear regression model was developed to describe the relationship between turbidity and atmospherically corrected reflectance from Landsat-7 ETM+ bands 2 and 4 (R2 = 0.65). Turbidity was then converted to total suspended sediments (TSS), based on in situ historical data. Mapped spatial patterns of TSS provided useful information on key physical drivers affecting the transport process of suspended sediment. This study demonstrates the potential and limitations of using medium- spatial scale multispectral data, such as Landsat, to understand important factors that control suspended sediment transport processes within an estuary.
Keywords :
remote sensing; sedimentation; sediments; water quality; AD 1999 09 to 2003 04; Lake Erie; Ohio; Old Woman Creek Estuary; freshwater coastal wetland; historical water quality data; multiple linear regression model; multitemporal Landsat data; multitemporal Landsat-7 ETM+ imagery; suspended sediment transport process; total suspended sediments; water quality monitoring data; Earth; Lakes; Monitoring; Remote sensing; Satellites; Sediments; Vegetation mapping; Landsat time-series images; remote sensing; suspended sediment; turbidity; wetland;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2265191
Filename :
6574245
Link To Document :
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