Analysis of suspended particulate matter concentrations in Weeks Bay, Alabama using Landsat imagery

Authors: Devon Flickinger*, Mississippi State University, John C Rodgers, Mississippi State University, Padmanava Dash, Mississippi State University, Adam Skarke, Mississippi State University
Topics: Remote Sensing, Environment, Water Resources and Hydrology
Keywords: Remote Sensing, Suspended Sediment, Landsat, Weeks Bay
Session Type: Poster
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download


Estuaries are valuable ecosystems that are easily affected by human activities within the watershed. One determinant of water quality for an estuary is the presence of suspended sediments. The use of satellite sensors to remotely sense visible and near-infrared reflectance allows for suspended particulate matter (SPM) and suspended particulate inorganic matter (SPIM) concentrations to be monitored on a repetitive synoptic scale. Previously presented and new possible algorithms for relating remote sensing reflectance (Rrs) and SPM/SPIM concentrations were evaluated for their applicability to the Weeks Bay estuary in Alabama. Additionally, numerous potential SPM/SPIM concentration retrieval algorithms using the Landsat-8 satellite were determined through regression and the consideration of the inherent optical properties of the water body. The most robust empirical algorithm for Weeks Bay produced an RMSE of 12.50% and utilized the band combination of Ln(Band4)/Ln(Band3), while the most robust semi-analytical algorithm produced an RMSE of 16.34% and utilized the band combination of Band4/Band3. By creating an algorithm for determining concentrations of suspended sediments in Weeks Bay, it is possible to investigate potential trends and sources of suspended sediment within the watershed.

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