Susan G. Buto 20200728 Raster Digital Dataset Reston, VA U.S. Geological Survey Data Release https://doi.org/10.5066/P9BG3VKP Moreo, M.T. Buto, S.G. Smith, D.W. Nelson, N.C. 2020 Publication U.S. Geological Survey Scientific Investigations Report 2020-5075 Reston, VA U.S. Geological Survey https://doi.org/10.3133/sir20205075 This dataset, created in support of USGS Scientific Investigations Report 2020-5075, Estimates of Groundwater Discharge by Evapotranspiration, Stump Spring and Hiko Springs, Clark County, Nevada, 2016-18, represents a two class land cover classification consisting of moderate to dense vegetation and bare to sparsely vegetated areas within the Groundwater Discharge Area and Area of Critical Environmental Concern boundaries for Stump Spring, Nevada. The classification is based on a 2015 1-meter National Agricultural Imagery Program (NAIP) image and a maximum likelihood classification algorithm provided in ENVI software (https://www.harrisgeospatial.com/docs/Classification.html#ClassSupervised). This dataset was created as part of a U.S. Geological Survey study, done in cooperation with the Bureau of Land Management, to estimate annual groundwater evapotranspiration from riparian vegetation in two spring areas in southern Nevada. The intended uses of this dataset include, but are not limited to, natural resource modeling, mapping, and visualization applications. 20150529 ground condition Complete None planned -115.842590207 -115.776470803 36.02856258 35.97375835 ISO 19115 Topic Category inlandWaters biota USGS Thesaurus groundwater evaporation transpiration land use and land cover vegetation none evapotranspiration ET groundwater discharge phreatophytes vegetation USGS Metadata Identifier USGS:5d6c1d35e4b0c4f70cf5cbe1 Geographic Names Information System Nevada Clark County Stump Spring None. Please see 'Distribution Info' for details Acknowledgment of the U.S. Geological Survey and Bureau of Land Management would be appreciated in products derived from these data. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Although this Federal Geographic Data Committee (FGDC) compliant metadata file is intended to document the dataset in nonproprietary form, this metadata file may include some ArcGIS-specific terminology. These data are not intended to be used as a survey product and are for reference only. U.S. Geological Survey Nevada Water Science Center Mailing and physical address

2730 N. Deer Run Road

Carson City NV 89701 USA (775) 887-7600 GS-W-NVcrs_Webmaster@usgs.gov Compilation of this dataset and the associated metadata was done in cooperation with Bureau of Land Management Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200); Esri ArcGIS 10.5.1 (Build 7333) Service Pack N/A (Build N/A), ENVI 5.5 All attempts were made to verify 100 percent of the digital attribute data are complete and consistent. Verification was done by interactive on-screen review. No accuracy assessment was performed on the classification results. Tests of valid values were performed throughout processing. All areas are completely described. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. No formal accuracy assessment of the horizontal positional information in the dataset has been conducted. U.S. Department of Agriculture 2015 raster digital data https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/ https://nrcs.app.box.com/v/naip/folder/18420395363 Digital Resources 20150529 ground condition NAIP Spatial information U.S. Geological Survey Unpublished material vector digital data https://dx.doi.org/10.5066/P9BG3VKP Digital Resources 20150529 ground condition GDA Spatial information A four-band NAIP image from 2015 was passed through the supervised classification workflow using ENVI software. The algorithm used training data for four classes (bare ground, road, shadow, vegetation) collected directly from the image. Bare ground training sites included areas of bare ground and sparse vegetation. The shadow class included areas of shadow adjacent to large mesquite. The training data were passed through a maximum likelihood classifier with no probability threshold defined. The resulting classification was refined using the internal classification "cleanup" process with no smoothing and a 3-pixel aggregation threshold to clean up "speckle" and "noise" in the classification. NAIP 20170401 Supervised_4Class The four classes included in the initial supervised classification were reviewed to verify relative accuracy of the results. The image was then reclassified to two classes with the vegetation and shadow classes merged to a single class for "moderate to dense vegetation" and the road and bare ground classes merged to a single "sparse vegetation and bare ground" class. Supervised_4Class 20170401 Reclassed_2Class The reclassified image was clipped to the extent of the combined groundwater discharge area and Area of Critical Environmental Concern boundary Reclassed_2Class GDA 20170401 StumpSpring_GDA_Classification.tif Raster Grid Cell 4573 3391 1 Universal Transverse Mercator 11 0.9996 -117.0 0.0 500000.0 0.0 row and column 1.0 1.0 Meter D_WGS_1984 WGS_1984 6378137.0 298.257223563 Attribute Table Table containing attribute information associated with the dataset. Producer defined Value Integer value representing land cover classification Producer defined 1 Moderate to dense vegetation Producer defined 2 Sparse vegetation and bare ground Producer defined Count Number of raster cells with associated land cover classification "value" esri 975914 2664701 none U.S. Geological Survey - ScienceBase Mailing and physical address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 USA 1-888-275-8747 sciencebase@usgs.gov This database, identified as StumpSpring_GDA_Classification, has been approved for release by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the database is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. tiff 2019 https://doi.org/10.5066/P9BG3VKP None. This dataset is provided by USGS as a public service. 20200824 U.S. Geological Survey Susan G. Buto Mailing and physical address

2730 N. Deer Run Road

Carson City NV 89701 USA 775-887-7663 sbuto@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998