U.S. Geological Survey, Wetland and Aquatic Research Center Beck, Holly J. Couvillion, Brady Dugas, Jason Garber, Adrienne Mouton, Kelly 20210823 raster digital data Lafayette, LA U.S. Geological Survey, Wetland and Aquatic Research Center https://doi.org/10.5066/P9MHMCFS Coastal Protection and Restoration Authority of Louisiana U.S. Department of Commerce, National Oceanic Atmospheric Administration U.S. Department of Agriculture, Natural Resources Conservation Service U.S. Department of Interior, U.S. Fish and Wildlife Service U.S. Department of the Army, Corp of Engineers U.S. Environmental Protection Agency 2021 document http://www.lacoast.gov Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of five land-water products (2005, 2008, 2012, YYYY and 2018). The resulting matrix has 32 possible classes defined by the combination of land and water categories on those five dates. 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. The land-water data is used to measure the occurrence, locations, and rates of land loss/land gain for CRMS Site 1413. Author ORCIDs: Beck, H.J.(0000-0002-0567-9329); Couvillion, B.(0000-0001-5323-1687); Dugas, J.(0000-0001-6094-7560);Garber, A.(0000-0003-1139-8256);Mouton, K.(0000-0002-7692-8206) 2005 2008 2012 2015 2018 ground condition Complete As needed 29.901541149210324 29.892517228059237 -93.01575467830789 -93.00538572957305 ISO 19115 Topic Category imageryBaseMapsEarthCover None CRMS DOQQ land-water wetland mapping restoration marsh protection coastal cartography Geographic Information System Marine Realms Information Bank (MRIB) keywords alteration of wetland habitats wetland wetland restoration Coastal and Marine Ecological Classification Standard Emergent Wetland Forested Wetland Scrub-Shrub Wetland USGS Thesaurus wetland ecosystems USGS Metadata Identifier USGS:611f1448d34e40dd9c01d2c8 None Louisiana Geographic Names Information System State of Louisiana coastal Louisiana It is strongly recommended that these data are directly acquired from the U.S. Geological Survey, Wetland and Aquatic Research Center and not indirectly through other sources which may have changed in some way. The distributor makes no claim as to the data's suitability for other purposes. Acknowledgement of the U.S. Geological Survey (USGS), Wetland and Aquatic Research Center (WARC) as a data source would be appreciated in products developed from these data. Such acknowledgement as is standard for citation and legal practices for data sources is expected by users of this data. Sharing new data layers developed directly from these data would be appreciated by the USGS WARC staff. Users should be aware that comparison with other datasets for the same area from other time periods may be inaccurate because of inconsistencies resulting from changes in mapping conventions, data collection procedures, and computer processes over time. The distributor shall not be liable for improper or incorrect use of these 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 Reseach Center Holly J. Beck Geographer mailing

7920 NW 71st Street

Gainesville FL 32653 USA 352-264-3496 hbeck@usgs.gov The U.S. Geological Survey (USGS) Wetland and Aquatic Research Center (WARC) would like to acknowledge the assistance of the Coastal Protection and Restoration Authority of Louisiana, U.S. Department of Commerce, U.S. Department of Agriculture, U.S. Department of the Interior, U.S. Department of the Army, and the U.S. Environmental Protection Agency. Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A) Previous examinations have investigated the accuracy of these datasets and the methodology used to produce them in detail. Further information regarding those previous accuracy assessments is available in the metadata of the datasets available at the following location: Couvillion, B.R., Beck, H.J., Dugas, J., Garber, A., and Mouton, K., 2018, Coastwide Reference Monitoring System (CRMS) 2015 land-water classifications: U.S. Geological Survey data release, https://doi.org/10.5066/F7930RDX. Couvillion, B.R., Beck, H.J., Dugas, J., Garber, A., and Mouton, K., 2018, Coastwide Reference Monitoring System (CRMS) 2016 land-water classifications: U.S. Geological Survey data release, https://doi.org/10.5066/P90RE64M. The same methodology used to produce the 2015 and 2016 datasets mentioned above were used in this analysis and as such, the accuracy assessment investigation for those analyses is informative to this effort as well. Those previous investigations determined a simple overall accuracy of 96.49% for these datasets, however when point selection bias and landscape composition were accounted for, an adjusted accuracy for the overall dataset of 98.88% was attained. This overall accuracy is representative of the methodology used to create the data set as a whole. In other words, it is indicative of average values of all CRMS sites, not necessarily specific CRMS sites. Specific CRMS sites may have accuracies less than or greater than this overall value. In general, the more dis-aggregated a landscape, and the more aquatic vegetation it contains, the higher the probability of error, and consequently the lower the accuracy of land cover classifications will be in that location. All land-water classification data has gone through several iterations of quality assurance/quality control to ensure quality. The initial, largely automated, classification results are reviewed by multiple image analysts to identify and manually recode errors. The QAQC efforts ensure error-prone classes such as floating aquatic vegetation (FAV), shadows, and vegetative overhang are recoded to their appropriate category. This data represents the landscape composition on the date of acquisition (DOA) of the imagery. Land area in this highly dynamic environment is a very fluid parameter, and normal environmental variability can lead to variability in this measure from day to day. The accuracy of the horizontal positions is based on the accuracy of the georeferenced data source (2018 DOQQ). The sources used vary from project to project. All USGS Mapping products adhere to the National Mapping Accuracy Standard. A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable. Digital Aerial Solutions LLC 20190420 remote-sensing image http://nationalmap.gov Digital and/or Hardcopy 20181027 20190105 Date of source photography 2018 DOQQ Aerial, color-infrared (CIR) imagery collected in the Fall of 2018 which served as the primary data source for classification of land-water data. Hexagon Geospatial 20180301 Version: 16.5 (v16.5.0.852) application/service Digital and/or Hardcopy 2018 Date of source photography Erdas 2018 Software Brady Couvillion Holly J Beck Jason L Dugas Adrienne Garber Rosemary L Mouton 2018 dataset https://www.sciencebase.gov U.S. Geological Survey https://doi.org/10.5066/f75d8q92 Digital and/or Hardcopy 2005 2008 2012 2015 Date of source photography Couvillion, 2018a Reference product Brady Couvillion Holly J Beck Jason L Dugas Adrienne Garber Rosemary L Mouton 2018 dataset https://www.sciencebase.gov U.S. Geological Survey https://doi.org/10.5066/p91bnns0 Digital and/or Hardcopy 2005 2008 2012 2016 Date of source photography Couvillion, 2018b Reference product Beck, Holly J. Couvillion, Brady Dugas, Jason Garber, Adrienne Mouton, Kelly 2021 raster digital data https://doi.org/10.5066/P9AZOHQU Digital and/or Hardcopy 2018 ground condition Beck, 2021 Input to matrix creation. Land-water classifications for all five time periods were compiled and checked to ensure only values 1 and 2 were included. In some previous dates, value 3 represents flooded land, however for simplification of the matrix, these values were recoded to value 1 (land). 2020 Holly J Beck U.S. Geological Survey, Southeast Region Geographer mailing address

7920 NW 71St Street

Gainesville FL 32653 US 352-264-3496 352-378-4956 hbeck@usgs.gov The previous, 4-year matrix datasets (Couvillion, 2018a ; Couvillion, 2018b) were compiled and used in conjunction with the newly created 2018 land/water dataset (Beck, 2021) to form a new, five-year matrix. The matrix values were assigned according to the following conditional statement (Erdas, 2018): CONDITIONAL { (2005_2008_2012_2015/16_Matrix == 0 OR 2018 Land/Water Classification == 0) 0, (2005_2008_2012_2015/16_Matrix == 1 AND 2018 Land/Water Classification == 1) 1, (2005_2008_2012_2015/16_Matrix == 1 AND 2018 Land/Water Classification == 2) 2, (2005_2008_2012_2015/16_Matrix == 6 AND 2018 Land/Water Classification == 1) 3, (2005_2008_2012_2015/16_Matrix == 6 AND 2018 Land/Water Classification == 2) 4, (2005_2008_2012_2015/16_Matrix == 3 AND 2018 Land/Water Classification == 1) 5, (2005_2008_2012_2015/16_Matrix == 3 AND 2018 Land/Water Classification == 2) 6, (2005_2008_2012_2015/16_Matrix == 7 AND 2018 Land/Water Classification == 1) 7, (2005_2008_2012_2015/16_Matrix == 7 AND 2018 Land/Water Classification == 2) 8, (2005_2008_2012_2015/16_Matrix == 2 AND 2018 Land/Water Classification == 1) 9, (2005_2008_2012_2015/16_Matrix == 2 AND 2018 Land/Water Classification == 2) 10, (2005_2008_2012_2015/16_Matrix == 5 AND 2018 Land/Water Classification == 1) 11, (2005_2008_2012_2015/16_Matrix == 5 AND 2018 Land/Water Classification == 2) 12, (2005_2008_2012_2015/16_Matrix == 4 AND 2018 Land/Water Classification == 1) 13, (2005_2008_2012_2015/16_Matrix == 4 AND 2018 Land/Water Classification == 2) 14, (2005_2008_2012_2015/16_Matrix == 8 AND 2018 Land/Water Classification == 1) 15, (2005_2008_2012_2015/16_Matrix == 8 AND 2018 Land/Water Classification == 2) 16, (2005_2008_2012_2015/16_Matrix == 9 AND 2018 Land/Water Classification == 1) 17, (2005_2008_2012_2015/16_Matrix == 9 AND 2018 Land/Water Classification == 2) 18, (2005_2008_2012_2015/16_Matrix == 13 AND 2018 Land/Water Classification == 1) 19, (2005_2008_2012_2015/16_Matrix == 13 AND 2018 Land/Water Classification == 2) 20, (2005_2008_2012_2015/16_Matrix == 12 AND 2018 Land/Water Classification == 1) 21, (2005_2008_2012_2015/16_Matrix == 12 AND 2018 Land/Water Classification == 2) 22, (2005_2008_2012_2015/16_Matrix == 15 AND 2018 Land/Water Classification == 1) 23, (2005_2008_2012_2015/16_Matrix == 15 AND 2018 Land/Water Classification == 2) 24, (2005_2008_2012_2015/16_Matrix == 10 AND 2018 Land/Water Classification == 1) 25, (2005_2008_2012_2015/16_Matrix == 10 AND 2018 Land/Water Classification == 2) 26, (2005_2008_2012_2015/16_Matrix == 14 AND 2018 Land/Water Classification == 1) 27, (2005_2008_2012_2015/16_Matrix == 14 AND 2018 Land/Water Classification == 2) 28, (2005_2008_2012_2015/16_Matrix == 11 AND 2018 Land/Water Classification == 1) 29, (2005_2008_2012_2015/16_Matrix == 11 AND 2018 Land/Water Classification == 2) 30, (2005_2008_2012_2015/16_Matrix == 16 AND 2018 Land/Water Classification == 1) 31, (2005_2008_2012_2015/16_Matrix == 16 AND 2018 Land/Water Classification == 2) 32 Erdas 2018 Couvillion, 2018a Couvillion, 2018b 2020 Holly J Beck U.S. Geological Survey, Southeast Region Geographer mailing address

7920 NW 71St Street

Gainesville FL 32653 US 352-264-3496 352-378-4956 hbeck@usgs.gov Colors were assigned to represent each of the 32 possible values in the matrix. Clips of the raster were created using ArcGIS 10.7, and attribute tables were created to contain information regarding values, and what those values represent. 2020 Holly J Beck U.S. Geological Survey, Southeast Region Geographer mailing address

7920 NW 71St Street

Gainesville FL 32653 US 352-264-3496 352-378-4956 hbeck@usgs.gov Raster Grid Cell 1000 1001 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 CRMS_2005_2008_2012_2015_16_2018_Matrix_CRMS1413.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 1 32 Red Values representing the value of red for the color chosen for that specific class in an RGB color system. Producer Defined 324.0 640345.0 Green Values representing the value of green for the color chosen for that specific class in an RGB color system. Producer Defined 0 255 Blue Values representing the value of blue for the color chosen for that specific class in an RGB color system. Producer Defined 0 255 Count Number of raster cells with this value. Producer Defined 324.0 640345.0 Pixels 1 Class Class Description - a text description of that class. Producer Defined Persistent land New Water - 2018 Oscillating - Ephemeral water - 2016 Persistent loss - 2016 Oscillating - Ephemeral water - 2012 Oscillating - Ephemeral water - 2012, 2018 Oscillating - Water - 2012, 2016 Persistent loss - 2012 Oscillating - Ephemeral water - 2008 Oscillating - Ephemeral water - 2008, 2018 Oscillating - Ephemeral water - 2008, 2016 Oscillating - Water - 2008, 2016, 2018 Oscillating - Ephemeral water - 2008, 2012 Oscillating - Water - 2008, 2012, 2018 Oscillating - Water - 2008, 2012, 2016 Persistent loss - 2008 Persistent gain - 2008 Oscillating - Land - 2008, 2012, 2016 Oscillating - Land - 2008, 2012, 2018 Oscillating - Ephemeral land - 2008, 2012 Oscillating - Land - 2008, 2016, 2018 Oscillating - Ephemeral Land - 2008, 2016 Oscillating - Ephemeral Land - 2008, 2018 Oscillating - Ephemeral land - 2008 Persistent gain - 2012 Oscillating - Land - 2012, 2016 Oscillating - Ephemeral land - 2012, 2018 Oscillating - Ephemeral land - 2012 Persistent gain - 2016 Oscillating - Ephemeral land - 2016 New land - 2018 Persistent water 2005 This attribute outlines whether each value was land or water in the specific year designated by the column name or attribute name. This column is intended to assist the user in recoding the five year matrix back to a specific year. Producer Defined Land Values in this class of the matrix were land in 2005. Producer defined Water Values in this class of the matrix were water in 2005. Producer defined 2008 This attribute outlines whether each value was land or water in the specific year designated by the column name or attribute name. This column is intended to assist the user in recoding the five year matrix back to a specific year. Producer Defined Land Values in this class of the matrix were land in 2008. Producer defined Water Values in this class of the matrix were water in 2008. Producer defined 2012 This attribute outlines whether each value was land or water in the specific year designated by the column name or attribute name. This column is intended to assist the user in recoding the five year matrix back to a specific year. Producer Defined Land Values in this class of the matrix were land in 2012. Producer defined Water Values in this class of the matrix were water in 2012. Producer defined 2015_16 This attribute outlines whether each value was land or water in the specific year designated by the column name or attribute name. This column is intended to assist the user in recoding the five year matrix back to a specific year. Producer Defined Land Values in this class of the matrix were land in 2015. Producer defined Water Values in this class of the matrix were water in 2015. Producer defined 2018 This attribute outlines whether each value was land or water in the specific year designated by the column name or attribute name. This column is intended to assist the user in recoding the five year matrix back to a specific year. Producer Defined Land Values in this class of the matrix were land in 2018. Producer defined Water Values in this class of the matrix were water in 2018. Producer defined Opacity This value controls the opacity or transparency of the class. Producer Defined 255 255 Matrix of land area change, assessed on five specific dates over a 18-year observation period from 2005-2018. Producer defined 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 Downloadable 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 U.S. Geological Survey 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. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Digital Data https://doi.org/10.5066/P9MHMCFS None None 20210823 U.S. Geological Survey, Wetland and Aquatic Research Center Holly Beck Geographer mailing and physical address

7920 NW 71st Street

Gainesville FL 32653 USA 352-264-3496 hbeck@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time None Acknowledgement of the U.S. Geological Survey, Wetland and Aquatic Research Center as the metadata source would be appreciated. Please cite the original metadata when using portions of the record when creating a similar record for slightly altered data for reprojection or subsetting. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile