 This research paper examined the use of remote sensing data to map wetlands at the landscape scale. The authors compared the accuracy and confidence of various data sets and seasons of imagery to determine the most effective combination of inputs for accurate wetland classification. They identified key variables such as terrain, soil characteristics, and remotely sense data from multiple sources, including visible, near-infrared, thermal, and radar bands. This information was used to develop a system for consistent operational mapping of wetlands across landscapes similar to those found in northern Minnesota. This article was authored by Alisa L. Gallant, Jennifer M. Corcoran, and Joseph F. Knight.