Water Surface Temperature and Suspended Sediment Concentration (SSC) Retrieval from Landsat Imagery, Northwest Territories, Canada

• Published in: Canadian Journal of Remote Sensing
• Main Authors: Joseph Chamberland, John Bennett, Bing Yue
• Format: Article in Journal/Newspaper
• Language: English; French
• Published: Taylor & Francis Group 2019
• Subjects: Environmental sciences; GE1-350; Technology; T; Canada; Mackenzie River; Northwest Territories; Mackenzie river; Slave River
• Online Access: https://doi.org/10.1080/07038992.2019.1643706; https://doaj.org/article/c2f8a505553d4570971f04d2f09300f1

This paper presents water surface temperature retrieval using Landsat thermal band and meteorological ancillary data. The algorithms were tested using Landsat-5/7/8 imagery acquired at different study sites along the Slave River and Mackenzie River of the Northwest Territories (NWT), Canada. By comparing the retrieved temperatures with in situ water temperatures, in-depth validation of one reliable retrieved technique was successfully demonstrated. The method yielded a mean absolute error (MAE) in the range of 1.00–1.38 °C, over 7 validation locations in a 2-year observation period. This paper also presents a method to estimate suspended sediment concentration (SSC) in the Slave River region using Landsat-8 imagery. The numerical relationships between in situ SSC measurements and water-leaving reflectance in visible and near-infrared (NIR) bands were investigated through regression fitting. The SSC estimation results using the retrieved models were analyzed and validated, the NIR model was found to generate the smallest estimation errors with a MAE of 7.98 mg/L using leave-one-out (LOO) uncertainty assessment. An operational web-based tool for water surface temperature and SSC mapping based on the algorithms validated during this study has been developed to address additional monitoring requirements of the NWT communities. The design and implementation of this tool is also described.