Authors: L. Monika Moskal*, University of Washington, Meghan Halabisky, University of Washington
Topics: Remote Sensing
Keywords: wetlands, spatial, temporal, spectal
Session Type: Paper
Start / End Time: 5:20 PM / 7:00 PM
Room: Bonaparte, Marriott, River Tower Elevators, 4th Floor
Presentation File: No File Uploaded
Wetland science has lagged behind other disciplines because of the spatiotemporal data limitations due to the lack of efficient tools to capture the variability across the landscape. Remote sensing is a spatially explicit tool potentially allowing for effective landscape monitoring. Remote sensing temporal, spatial and spectral domains are continuously improving. The discipline rose from black and white historical aerial photography of the 1930's to today's daily global imagery that is reaching 1m resolution. By integrating new analytical tools that deal with the spatial resolution of the data such as Object Based Image Analysis, to temporal time series analysis. The spectral domain of remote sensing (black and white imagery), has also expended to multispectal and beyond (hyperspectral). With all the developments came opportunities but also trade offs in our ability to detect and track wetland changes over specific time scales, or very focused temporal periods. Moreover, tools such as hyperspectral remote sensing are allowing us to look at issues such as invasive species that pose a threat to healthy wetland function. This talk will explore the potential of integrating and optimizing the information extraction from these various remote sensing techniques, and how these can serve in sustainable monitoring and management of wetlands.