Low Cost Stream Gaging through Analysis of Stage Height Using Digital Photography

Through the middle of the twentieth century, the US was relatively rich in active streamflow gages. Over the past four decades, the number of gages has decreased by approximately 10% (approx. 20 gages a year) and it is likely this trend will continue for the foreseeable future. Not only are streaflow data valuable for water resources planning and management, but they are invaluable for assessing how land use and climate changes are impacting the environment. Affordable, easy-to-use systems need to be developed to enable a wider community to establish and maintain streamflow observation sites. Currently USGS-like gauges cost 30,000 to 50,000 to build and $6,000/year to maintain. We are developing a system that uses digital images in conjunction with MATLAB for image post processing that has the potential to both accurately and cost effectively monitor stream gauge. We explored several different staff gauge designs in conjunction with associated image processing code. The most robust design so far consists of a brightly colored metal staff gauge and and code that allows a point-and-click method for training the image processing code to correctly identify the staff. We ultimately envision a system in which users can upload their images via the Internet and post-processing is done on a remote server, which also collates data and metadata for open-access downloading.