Filters: Tags: Riparian Vegetation (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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The 1935 images were obtained as digitally scanned versions of aerial photographs acquired by the U.S. Department of Agriculture at a scale of 1:31,680. The actual date of image acquisition is not known. The images were previously scanned at 600 dpi to produce a nominal pixel size of 1.28 m (Friedman et al., 2015). The images were registered and rectified using identifiable common points from the 1996 DOQQs. See description of positional accuracy below. Data derived from features mapped from the 1935 images were presented in: Friedman, J.M., Vincent, K.R., Griffin, E.R., Scott, M.L., Shafroth, P.B., and Auble, G.T., 2015, Processes of arroyo filling in northern New Mexico, USA, GSA Bulletin, 127(3/4), 621-640....
These data consist of species relative cover, percent cover of dead plant material, percent cover of soil and rock, and a variety of broad - and local- scale environmental variables. These data relate to sample sites along the Colorado River through Grand Canyon between Lees Ferry and river mile 245. The plant and ground cover data included here were originally collected as a part of annual vegetation monitoring by Grand Canyon Monitoring and Research Center. Environmental variables were either recorded in the field or obtained through other data sources. Species and ground cover data were collected in August and September 2014 at 96 randomly selected sample sites that were approximately evenly distributed along...
Types: Citation;
Tags: American Southwest,
Arizona,
Colorado River,
Environmental variables,
Grand Canyon,
The 1970s images were obtained as digital scans on CDs, with no metadata. Source information for the original aerial photographs is not available. Original photo scale was about 1:40,000 for the 1975 images (filenames beginning "r75")and 1:12,000 for the 1979 images (filenames beginning "rfl"). I registered and rectified these images using identifiable common points from 1996 DOQQs. See the description of positional accuracy below. Data derived from features mapped from the 1970s images were presented in: Friedman, J.M., Vincent, K.R., Griffin, E.R., Scott, M.L., Shafroth, P.B., and Auble, G.T., 2015, Processes of arroyo filling in northern New Mexico, USA, GSA Bulletin, 127(3/4), 621-640. doi: 10.1130/B31046.1
1996 georeferenced aerial photographs cover the lower Rio Puerco from the confluence with the Rio San Jose 70 km down-valley to the confluence with the Rio Grande. The images were obtained from enlargements of 1:40,000 scale National Aerial Photography Program (NAPP) photographs printed from negatives at a scale of 1:5,000, then scanned at 600 dpi. Pixel size of the raster images is about 0.22 m, compared to the DOQQs, which have 1-m pixel size. The segments were registered and rectified in ArcINFO using common points from USGS DOQQs published in 1999, which were derived from the same 1996 NAPP photo set, with terrain corrections from a 1-degree DEM applied. Registration points were typically center of mass of small...
High-precision (Real-time kinematic) Global Positioning System (GPS) surveys were conducted along the lower Rio Puerco in April 2002, January 2007, April 2010, and April 2014 to support a long-term study of geomorphic processes and the geomorphic history of the arroyo. The study reach extends from the confluence with the Rio San Jose 67 km downvalley to the old Highway 85 bridge near the USGS streamgage near Bernardo, NM. Individual shapefiles were created for data from each survey. Associated metadata files include the names of surveyors and equipment used. The survey extents varied, but all have overlapping points, including repeat surveys of arroyo cross sections. Results from analyses of these data were published...
The 1950s images were downloaded from Earth Explorer as medium-resolution scans of aerial photographs, with pixel size ranging from 1.33 to 2.32 m. Original photo scales were 1:54,000 or 1:20,000. (See Source Citation below.) I registered and rectified these images using identifiable common points from 1996 DOQQs. Images with filenames beginning "r37" were acquired 11-29-1953. Images with filenames beginning "r43" were acquired 01-31-1954. Image r1954r49_6786.tif was acquired 02-03-1954. Remaining images have the date of acquisition in the filename, starting with the format "ryymmdd...". Data derived from features mapped from the 1950s images were presented in: Friedman, J.M., Vincent, K.R., Griffin, E.R., Scott,...
These data include geospatial files (shapefiles and orthorectified raster images) and an input hydrograph (csv) for a 1-dimensional unsteady hydrologic model. Shapefiles consist of active channel boundarys and channel centerlines of six reaches of the LCR beginning ~4.5 km above Grand Falls, AZ, and ending ~12.8 km downstream from Cameron, AZ. These reaches are (1) the ~4.5 km above Grand Falls reach, (2) the 1.5km below Grand Falls reach, (3) the ~18.8 km Black Falls reach, (4) the ~16.5 km above Cameron reach, (5) the ~4.7 km Cameron to Moenkopi reach, and (6) the ~8.1 km below Moenkopi reach. Raster images consist of orthorectified aerial photograph mosaics between 1933/34 and 1992. Scans of the images were acquired...
A study of arroyo evolution in northern New Mexico (Friedman and others, 2015) assessed geomorphic change in the Chaco Wash arroyo from the 1930s to 2000. As part of this study, in October 2000 a trench was excavated across the arroyo bottom and a high-precision (Real-time kinematic) GPS survey was conducted. GPS survey data were used to georeference a 1930s topographic map and to identify key geomorphic features, including the tops of the arroyo walls and the channel thalweg. Linear features were mapped in a GIS for use in extracting channel thalweg profiles, an arroyo cross section, and arroyo widths (1930s and 2000) as a function of distance down-valley. These features have been converted to shapefiles included...
High-resolution (0.20 m) digital images collected during an aerial LiDAR survey of the Lower Rio Puerco during April and July 2005. Details on data collection and processing methods are provided in an unpublished report by Spectrum Mapping, LLC (August 2005; see Supplemental Information). The images are Spectral Imagery LiDAR Composite (SILC) in which individual image pixels have been associated with individual xyz values to improve feature discrimination, including bare earth surfaces, as well as quality control processing. Stated horizontal and vertical accuracies are <0.30 m rms error in x, y, and z. This image set has been modified from the original by clipping large areas of no data (white space) from the outer...
An aerial LiDAR survey of the lower Rio Puerco was conducted in April and July 2005 by Spectrum Mapping, LLC, under contract with the USGS (Contract #14040050). The surveyed reach extends from the NM Highway 6 crossing 55 km downvalley to the old Highway 85 bridge near the USGS streamgage near Bernardo, NM. Survey procedures, equipment and products are described in the Rio Puerco Project Report (Spectrum Mapping, LLC, Aug. 1, 2005), provided with this data set. The survey data include breaklines (shapefiles) used to process the elevation data, bare-earth Digital Terrain Models (DTMs) with 2-m cell size in the ArcGrid format, LAS-formatted files, and the original random xyz data. Results from analyses using these...
These data are classification maps of total riparian vegetation along the Colorado River in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The total vegetation data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify total vegetation which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. The data represent...
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