 This paper presents a method for integrating field survey data and high spatial resolution, multi-spectral satellite image data to map bathymetry and seagrass in shallow coastal waters. The method uses QuickBird 2 satellite images from 2004 and 2007, acoustic field survey data to map bathymetry using a linear and ratio algorithm method and benthic survey field data to calibrate and validate classifications of seagrass percentage cover and seagrass species composition. Additionally, a change detection analysis of seagrass cover was performed. The results show that the bathymetry mapping was successful with an overall accuracy of 83% while the benthic map had an accuracy of 95%. Furthermore, the change detection produced a reliable change map and showed a net decrease in seagrass cover levels, but the majority of the study area showed no change in seagrass cover level. Overall, this study demonstrates that multiple spatial products, bathymetry, seagrass and change maps can be produced from single satellite images and a concurrent field survey data set. This article was authored by Chris Relsima, Stuart Finn and Mitchell Lyons. We are article.tv, links in the description below.