890bb1f2-6cd5-44cd-b948-450a3efae83a urn:uuid eng UTF-8 nonGeographicDataset nonGeographicDataset 2026-03-05T06:34:13 creation ISO 19115 2016 Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model 890bb1f2-6cd5-44cd-b948-450a3efae83a Generating continental-scale pixel composites in dynamic coastal and estuarine environments presents a unique challenge as the application of a temporal or seasonal approach to composite generation is confounded by tidal influences. We demonstrate how this can be resolved using an approach to compositing that provides robust composites of multi-type environments. In addition to the visual aesthetics of the images created, we demonstrate the utility of these composites for further interpretation and analysis. This is enabled by the manner in which our approach captures the spatial variation in tidal dynamics through the use of a Voronoi mesh, and preserves the band relationships within the modelled spectra at each pixel. Case studies are presented which include continental-scale mosaics of the Australian coastline at high and low tide and tailored examples demonstrating the potential of the tidally constrained composites to address a range of coastal change detection and monitoring applications. We conclude with a discussion on the potential applications of the composite products and method in the coastal and marine environment, as well as further development directions for our tidal modelling framework. <b>Citation:</b> Sagar, S.; Phillips, C.; Bala, B.; Roberts, D.; Lymburner, L. Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model. <i>Remote Sens</i>. 2018, 10, 480. https://doi.org/10.3390/rs10030480 {"type": "Polygon", "coordinates": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]} 112.0 154.0 -44.0 -9.0 EARTH SCIENCES Landsat change detection coastal pixel=based composites tidal Link to Journal documentDigital Link to Journal HTML