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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
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This dataset has been archived; it has been superseded by version 2.0 (November 2021) which can be found at https://doi.org/10.5066/P95PT2RV. Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding...
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This Data Release accompanies the publication "State of stress in areas of active unconventional oil and gas development in North America" by J.-E. Lund Snee (now J.-E. Lundstern) and M.D. Zoback (2022) in the AAPG Bulletin. This dataset provides maximum horizontal stress (SHmax) orientation and relative stress magnitude (faulting regime) information that comprise a new-generation crustal stress map for North America. Relative stress magnitudes are presented using the Aϕ (A_phi) parameter, a single scalar that represents the ratio of the three principal stress magnitudes. Data were collected between 2015 and 2022. Data points for SHmax orientations, relative stress magnitudes, and the earthquake focal mechanisms...


    map background search result map search result map LEAN-Corrected Collier County DEM for wetlands Flood inundation map geospatial datasets for Lake Ontario, New York Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America LEAN-Corrected Collier County DEM for wetlands Flood inundation map geospatial datasets for Lake Ontario, New York Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America