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Lower Rio Puerco 1996 georeferenced NAPP photo segments
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 (<4 m diameter canopy) shrubs. Geomorphic parameters derived from mapping from these images were presented in the following publications:
Griffin, E.R., Kean, J.W., Vincent, K.R., Smith, J.D., and Friedman, J.M., 2005, Modeling effects of bank friction and woody bank vegetation on channel flow and boundary shear stress in the Rio Puerco, New Mexico, Journal of Geophysical Research, 110, F04023. doi: 10.1029/2005JF000322
Vincent, K.R., Friedman, J.M., and Griffin, E.R., 2009, Erosional consequence of saltcedar control, Environmental Management, 44, 218-227. doi: 10.1007/s00267-009-9314-8
Griffin, E.R., Perignon, M.C., Friedman, J.M., and Tucker, G.E., 2014, Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico, Geomorphology, 207, 30-50. doi: 10.1016/j.geomorph.2013.10.025
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
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/43d010a3d7d0a15321aca5a21ab6c01a |
|---|---|
| bureauCode |
[ "010:12" ] |
| identifier | USGS:57715c60e4b07657d1a6ba5b |
| spatial | -107.032811973,34.368627012,-106.830918927,34.890028097 |
| theme |
[ "geospatial" ] |