This study investigates the capability of high-spatial resolution Landsat Thematic Mapper (TM) data to sense and document suspended particulate matter concentration (SPMC) variability resulting from the influence of large structures in coastal waters. Two bridges, located in the coastal waters of the Yangtze River delta, are used as examples. A new SPMC inverse model, relating SPMC to TM optical properties through linear regression in the red and near-infrared bands, is developed. In total, 780 samples and 30 transects taken between 2006 and 2011 were used to compare and contrast SPMC at locations upstream and downstream of the bridges. The comparisons show: (i) within a distance of 0.3 km downstream from the bridges, SPMC mostly increased by 3–60% (8.40–176.29 mg l^–1); (ii) when SPMC values upstream were low (400 mg l^–1) upstream, decreases in SPMC were observed in 0.3–6.5 km downstream. The bridges influenced SPMC by blocking the transport of upstream suspended particulate matter (deposition) and through stirring of the sediments near the base of their piers (resuspension). The results can be generalized to other offshore engineering structures.

(2018). Enabling earth observations in support of global, coastal, ocean, and climate change research and monitoring. International Journal of Remote Sensing: Vol. 39, Enabling Earth Observations in Support of Global, Coastal, Ocean and Climate Change Research and Monitoring, pp. 4287-4292.

Landslides are considered to be one of the most significant and critical natural hazards in the heterogeneous geomorphological setting of the Rif region of Morocco. Despite the high susceptibility to landslides, the region lacks detailed studies. Therefore, this research introduces four advanced...

(2008). Preface. International Journal of Remote Sensing: Vol. 29, Satellite observations of the atmosphere, ocean and their interface in relation to climate, natural hazards and management of the coastal zone, pp. 6085-6090.

(2010). Oceanic manifestation of global changes: satellite observations of the atmosphere, ocean and their interface. International Journal of Remote Sensing: Vol. 31, Pan Ocean Remote Sensing: Oceanic Manifestation of Global Changes, pp. 4509-4514.