U.S. Geological Survey, Wetland and Aquatic Research Center Holly J. Beck Kelly Mouton Jason Dugas Brady Couvillion 20180615 Raster Digital Data Set Lafayette, Louisiana, USA U.S. Geological Survey, Wetland and Aquatic Research Center https://doi.org/10.5066/P98YDKUN Louisiana Coastal Protection and Restoration Authority U.S Army Corps of Engineers U.S. Geological Survey 20180615 document Lafayette, LA USGS http://www.lacoast.gov The Louisiana State Legislature created Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Marsh Island Hydrologic Restoration (TV-14) project for 2016. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes. The intended use of this data set is to provide information to aid efforts in the conservation, restoration, creation and enhancement of Louisiana's coastal wetlands in order to aid in long-term solutions to these and other problems. A project boundary may be included on some hard copy maps. This boundary was created by the Louisiana Coastal Protection and Restoration Authority and therefore the information on the process will not be noted in this metadata set. Author ORCIDs: Beck, H.J.(0000-0002-0567-9329);Mouton, K.(0000-0002-7692-8206);Dugas, J.(0000-0001-6094-7560);Couvillion, B.R.(0000-0001-5323-1687) 20161011 ground condition Complete None planned -91.8454 -91.7037 29.6045 29.5034 None CWPPRA wetlands mosaic aerial photography coastal restoration coastal conservation coastal enhancement monitoring GIS rectification image satelite imagery DOQQ scan DEM Louisiana USGS Metadata Identifier USGS:5af5fc2ce4b0da30c1b5fa0b None Coastal Louisiana Louisiana Gulf of Mexico South Louisiana TV-14 It is strongly recommended that this data is directly acquired from the distributor described above or from another USGS Biological Resources Division server and not indirectly through other sources which may have changed the data in some way. The distributor makes no claims as to the data's suitability for other purposes. Acknowledgement of the U.S. Geological Survey, Wetland and Aquatic Research Center as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected by users of this data. Sharing new data layers developed directly from these data would also be appreciated by WARC staff. Users should be aware that comparison with other data sets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection, and computer processes over time. The distributor shall not be liable for improper or incorrect use of this data, based on the description of appropriate/inappropriate uses described in this metadata document. These data are not legal documents and are not to be used as such. U.S. Geological Survey, Wetland and Aquatic Research Center Brady Couvillion Geographer mailing and physical address

Parker Coliseum, LSU

Baton Rouge Louisiana 70803 USA 225-578-7484 bcouvillion@usgs.gov The WARC would like to acknowledge the assistance of the Louisiana Coastal Protection and Restoration Authority, U.S Army Corps of Engineers, and U.S. Geological Survey. Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5 (Build 6491) Service Pack N/A (Build N/A) Accuracy of remotely sensed classifications is generally assessed by an accuracy assessment in which random points are assigned, and user-defined truth is compared to the classification results, producing statistics regarding user's, producer's, and overall accuracy. In this classification, 35540346 pixels were classified. Theoretically, at minimum, a 1% sample would be needed to appropriately assess accuracy. Assessing this many pixels is impossible, and as such, ancillary information is provided. Accuracy assessments in similar analyses using the same classification methodologies have produced a simple overall accuracy of 96.49%, but in these assessments, point selection was biased toward areas which are likely to contain error. After accounting for this bias, the resulting assumed accuracy for the overall dataset is 98.88%. land-water data were derived from Color Infrared photography. All land-water Classification data has gone through extensive QA/QC to ensure accuracy. For all calculations and manipulations done in Imagine, the software manual was consulted. Standard Operating Procedures for all of the land-water Classification were developed by GIS staff at the U.S. Geological Survey, Wetland and Aquatic Research Center. These data are complete. The horizontal positional accuracy is assumed to be correct because of the processes used for georeferencing the source data. Data meets USGS National Map Accuracy Standards at the given scale. N/A unknown 20170706 remote-sensing image Louisiana unknown 24000 Digital and/or Hardcopy Resources 20161011 20161105 ground condition Photo Mosaic The primary data source for the photomosaic Primary Classification: The land-water classification is derived from color infrared aerial photography. An unsupervised classification is performed using ERDAS Imagine software on the photo mosaic. The image is classified into 255 different classes based upon the range of pixel values in the image. These classes are then determined to be either land or water. Other dates of photography are referenced to help determine land or water class for difficult areas. The finished classification is recoded into the two classes; Land and Water. All areas characterized by emergent vegetation, upland, wetland forest, scrub-shrub, and emergent, non-persistent, semi-permanently flooded marsh, are classified as land, while open water, mud flats, and aquatic vegetation are classified as water. 20180501 Metadata was created. 20180514 0 Raster Grid Cell 11054 13620 1 Universal Transverse Mercator 15 0.9996 -93.0 0.0 500000.0 0.0 row and column 1.0 1.0 meters North_American_Datum_1983 GRS 1980 6378137.0 298.2572221010042 tv14_2016_land_water_post_3rdlevel_holly.tif Raster geospatial data file. Producer defined OID Internal object identifier. Producer defined Sequential unique whole numbers that are automatically generated. Value Unique numeric values contained in each raster cell. Producer defined 0 3 Count Number of raster cells with this value. Producer defined 0.0 35540346.0 Class_Name Land-water class names either Out, Land, or Water. Producer defined << empty cell >> No Data Producer defined Opacity Transparency. Producer defined 0 255 Each pixel within the project boundary is initially assigned a value based on a 50 class unsupervised classification of the digital image. These 50 classes are further classified down to two classes, Land and Water. Imagine software manual 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 10.5066/P98YDKUN Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P98YDKUN None, if data are available online 20200830 U.S. Geological Survey, Wetland and Aquatic Research Center Holly Beck Metadata Specialist Mailing and Physical Address

Parker Coliseum, LSU

Baton Rouge Louisiana 70803 USA 225-578-7490 hbeck@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time None Acknowledgement of the National Wetlands Research Center as the metadata source would be appreciated. Please cite the original metadata when using portions of the record to create a similar record of slightly altered data, such as reprojection. http://www.lacoast.gov ESRI Metadata Profile