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We use the Dyngjusandur sandsheet, Iceland as a testbed to quantify the type of data necessary to accurately represent ventifact orientations and extract paleowind information through a statistical evaluation of the differences between photogrammetric based and in situ geological analysis. Forty representative ventifacts were selected for in situ measurement, 20 of which were imaged for photogrammetric analysis to produce oriented and scaled virtual 3D models. An additional set of measurements were made on the “synthetic” models to allow for statistical assessment of erosional feature orientation. Despite the similarity between the photogrammetric (1145 measurements), and the in situ datasets (500 measurements),...
Categories: Data,
Data Release - In Progress;
Tags: Askja,
Dyngjusandur Sandsheet,
Iceland,
UAV,
field data,
Coastal Mean High Water (MHW) is contoured in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore water bodies. In the National Geospatial Program (NGP), surface water hydrography is maintained in the National Hydrography Dataset (NHD) Flowline Network projects Mean High Water level (MHW) as the linear-referenced 1:24,000-scale resolution NHD Coastline (http://nhd.usgs.gov/). NHDCoastline Geomorphology and associated Risk line-event feature classes that rank the relative risk of horizontal erosion on a scale of 1 to 5 (least to most risk, respectively) have been developed using the Hydrography...
Categories: Data,
Data Release - In Progress,
Publication;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Geomorphology,
Gulf,
Gulf of Mexico,
HEM,
Hydro linked data,
Coastal Mean High Water (MHW) is contoured in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore water bodies. In the National Geospatial Program (NGP), surface water hydrography is maintained in the National Hydrography Dataset (NHD) Flowline Network projects Mean High Water level (MHW) as the linear-referenced 1:24,000-scale resolution NHD Coastline (http://nhd.usgs.gov/). NHDCoastline Geomorphology and associated Risk line-event feature classes that rank the relative risk of horizontal erosion on a scale of 1 to 5 (least to most risk, respectively) have been developed using the Hydrography...
Categories: Data,
Data Release - In Progress;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic,
Connecticut,
Delaware,
Florida,
Geomorphology,
Coastal Mean High Water (MHW) is contoured in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore water bodies. In the National Geospatial Program (NGP), surface water hydrography is maintained in the National Hydrography Dataset (NHD) Flowline Network projects Mean High Water level (MHW) as the linear-referenced 1:24,000-scale resolution NHD Coastline (http://nhd.usgs.gov/). NHDCoastline Geomorphology and associated Risk line-event feature classes that rank the relative risk of horizontal erosion on a scale of 1 to 5 (least to most risk, respectively) have been developed using the Hydrography...
Species distribution models (SDMs) can be an important tool in rare species conservation. Specifically, SDMs have been used to location previously unknown populations and identify sites for reintroduction or translocation. With these goals in mind, we applied SDM to a recently listed plant species, Pectis imberbis, which is found in the Madrean Archipelago region of southern Arizona, USA, and northern Mexico. We used presence-pseudoabsence data and applied 10 replicates of 5 modeling algorithms, generalized linear model (GLM), generalized additive model (GAM, generalized boosted model (GBM, aka boosted regression trees), random forests (RF), and classification tree analysis (CTA) to 4 different predictor datasets...
Categories: Data Release - In Progress;
Tags: Arizona,
Botany,
Ecology,
Endangered populations,
Endangered species,
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