U.S. Geological Survey, Wetland and Aquatic Research Center Holly Beck Jason Dugas Adrienne Garber 20210923 Raster Digital Data Set Lafayette, Louisiana, USA U.S. Geological Survey, Wetland and Aquatic Research Center https://doi.org/10.5066/P9QUAMP7 Louisiana Coastal Protection and Restoration Authority U.S. Geological Survey U.S. Fish and Wildlife Service 20211001 document Lafayette, LA USGS http://www.lacoast.gov The Louisiana State Legislature created the 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 Freshwater Introduction South of Highway 82 (ME-16) project for 2018. 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);Dugas, J.(0000-0001-6094-7560);Garber, A.(0000-0003-1139-8256) 20181027 ground condition Complete None planned -92.7057 -92.5194 29.6923 29.5713 None CWPPRA USGS Thesaurus wetland ecosystems image mosaics aerial photography image collections ecosystem monitoring geographic information systems remote sensing digital elevation models Marine Realms Information Bank (MRIB) keywords wetland restoration conservation USGS Metadata Identifier USGS:612d1223d34e40dd9c0885b3 None ME-16 Common geographic areas Louisiana Coastal Louisiana Gulf of Mexico It is strongly recommended that this data is directly acquired from the distributor described above or from another U.S. Geological Survey 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 Holly Beck Geographer mailing and physical address

7920 NW 71st Street

Gainesville Florida 32653 USA 352-264-3496 hbeck@usgs.gov The WARC would like to acknowledge the assistance of the Louisiana Coastal Protection and Restoration Authority, Natural Resource Conservation Service, and U.S. Geological Survey. Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.7 (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, 100,719,153 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 U.S. Geological Survey National Map Accuracy Standards at the given scale. N/A unknown 20191015 remote-sensing image Louisiana unknown 24000 Digital and/or Hardcopy Resources 20181027 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. 20210611 Metadata was created. 20210909 Raster Grid Cell 13343 17986 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 ME_16_2018_landwater_classification.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 139268045.0 Class_Name Class name either Out, Land, or Water Producer Defined << empty cell >> No Data Producer defined Class name either Out, Land, or Water 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

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 USA 1-888-275-8747 sciencebase@usgs.gov CWPPRA Land-Water Data Although these data have been processed successfully on a computer system at the U.S. Geological Survey, Wetland and Aquatic Research Center, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a Biological Resources Division server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. WARC shall not be held liable for improper or incorrect use of the data described and/or contained herein. So, these data are provided "as is" and without any express or implied warranties, including, without limitation, the implied warranties or merchantability and fitness for a particular purpose. Also, use of trade names or commercial products in this metadata is solely for the purpose of providing specific information, and does not imply recommendation or endorsement by the U.S. Government. Any downloading and use of these data signifies a user's agreement to comprehension and compliance of the WARC Standard Disclaimer. Ensure all portions of metadata are read and clearly understood before using these data in order to protect both user and WARC interests. Digital Data https://doi.org/10.5066/P9QUAMP7 None, if data are available online 20210923 U.S. Geological Survey, Wetland and Aquatic Research Center Holly Beck Geographer Mailing and Physical Address

7920 NW 71st Street

Gainesville Florida 32653 USA 352-264-3496 hbeck@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time None http://www.lacoast.gov ESRI Metadata Profile