Citation
Wang, Chao; Pavelsky, Tamlin M.; Kyzivat, Ethan D.; Garcia-Tigreros, Fenix; Podest, Erika; Yao, Fangfang; Yang, Xiao; Zhang, Shuai; Song, Conghe; & Langhorst, Theodore, et al. (2023). Quantification of Wetland Vegetation Communities Features with Airborne Aviris-Ng, Uavsar, and Uav Lidar Data in Peace-Athabasca Delta. Remote Sensing of Environment, 294, 113646.Abstract
Arctic-boreal wetlands, important ecosystems for biodiversity and ecological services, are experiencing hydrological changes including permafrost thaw, earlier snowmelt, and increased wildfire susceptibility. These changes are affecting wetland productivity, species diversity, and biogeochemical cycles. However, given the diverse forms and structures of wetland vegetation communities, traditional wetland maps generated from lower spatial and spectral resolution satellite imagery lack community-level vegetation classification and miss spatially complex patterns. In this study, we built a cloud-based workflow to map wetland vegetation community of the Peace-Athabasca Delta (PAD), Canada, by leveraging high-resolution (5-m) airborne multi-sensor datasets, namely NASA's Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), and a historical LiDAR archive. Validation of our classifications using ground references indicates that classifications derived from AVIRIS-NG have higher accuracies (URL
https://doi.org/10.1016/j.rse.2023.113646Reference Type
Journal ArticleYear Published
2023Journal Title
Remote Sensing of EnvironmentAuthor(s)
Wang, ChaoPavelsky, Tamlin M.
Kyzivat, Ethan D.
Garcia-Tigreros, Fenix
Podest, Erika
Yao, Fangfang
Yang, Xiao
Zhang, Shuai
Song, Conghe
Langhorst, Theodore
Dolan, Wayana
Kurek, Martin R.
Harlan, Merritt E.
Smith, Laurence C.
Butman, David E.
Spencer, Robert G. M.
Gleason, Colin J.
Wickland, Kimberly P.
Striegl, Robert G.
Peters, Daniel L.