Metadata: Identification_Information: Citation: Citation_Information: Originator: Sydney K. Nick Originator: Julie C. Bernier Publication_Date: 20251203 Title: Coastal Land-Cover Data Derived from Landsat Satellite Imagery, Sabine Pass to Bay Coquette, Louisiana, 2013-2024 Geospatial_Data_Presentation_Form: raster and tabular digital data Larger_Work_Citation: Citation_Information: Originator: Sydney K. Nick Originator: Julie C. Bernier Originator: Breanna N. Williams Originator: Jennifer L. Miselis Publication_Date: 20251203 Title: Coastal Land-Cover and Feature Datasets Derived from Landsat Satellite Imagery, Sabine Pass to Bay Coquette, Louisiana Series_Information: Series_Name: U.S. Geological Survey data release Issue_Identification: doi:10.5066/P1MSCTUB Publication_Information: Publication_Place: St. Petersburg, Florida Publisher: U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Online_Linkage: https://doi.org/10.5066/P1MSCTUB Description: Abstract: This data release serves as an archive of coastal land-cover and feature datasets derived from Landsat satellite imagery from Sabine Pass to Bay Coquette, Louisiana (LA). A total of 179 images acquired between 2013 and 2024 were analyzed. Water, bare earth (sand), and vegetated land-cover classes were mapped using (1) successive thresholding and masking of the modified normalized difference water index (mNDWI), the normalized difference bare land index (NBLI), and the normalized difference vegetation index (NDVI) and (2) applying a rule-based classification modified from the workflow described by Bernier and others (2021). Vector shoreline and sand feature extents were extracted for each image by contouring the spectral indices using the calculated threshold values. Funded by the Extending Government Funding and Delivering Emergency Assistance Act (Public Law 117-43) enacted on September 30, 2021, these data support assessments of changes that occurred along the Louisiana coast following the passage of Hurricanes Laura, Delta, and Zeta in 2020 and Hurricane Ida in 2021. Purpose: Dissemination of thematic raster data representing 179 land-cover datasets derived from 139 Landsat 8 and 40 Landsat 9 Operational Land Imager (OLI) images from coastal Louisiana, USA. Supplemental_Information: Information about the Landsat missions, sensor and band specifications, data products, and data access can be found at https://www.usgs.gov/landsat-missions. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20130420 Ending_Date: 20241230 Currentness_Reference: Ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -89.502445 East_Bounding_Coordinate: -93.852531 North_Bounding_Coordinate: 29.800980 South_Bounding_Coordinate: 29.029450 Keywords: Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:9c4f3cc1-59cf-4b33-9308-9fde7f2c2cdb Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: geoscientificInformation Theme_Keyword: imageryBaseMapsEarthCover Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: geomorphology Theme_Keyword: geospatial datasets Theme_Keyword: image collections Theme_Keyword: multispectral imaging Theme_Keyword: coastal ecosystems Theme_Keyword: land use and land cover Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Landsat Theme_Keyword: spectral indices Theme_Keyword: Otsu thresholding Theme_Keyword: land cover Theme_Keyword: water Theme_Keyword: bare earth Theme_Keyword: sand Theme_Keyword: vegetated Place: Place_Keyword_Thesaurus: Geographic Names Information System (GNIS) Place_Keyword: Louisiana Place_Keyword: Gulf of America Place_Keyword: Sabine Pass Place_Keyword: Calcasieu Pass Place_Keyword: Headquarters Canal Place_Keyword: Freshwater Bayou Canal Place_Keyword: Marsh Island Place_Keyword: Point au Fer Island Place_Keyword: Caillou Boca Place_Keyword: Raccoon Point Place_Keyword: Bay Coquette Place: Place_Keyword_Thesaurus: None Place_Keyword: Gulf of Mexico Access_Constraints: No access constraints. Please see 'Distribution Information' for details. Use_Constraints: These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Julie C. Bernier Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: jbernier@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: LocMap_dr22_2240.jpg, LocMap_dr22_2340.jpg, LocMap_dr22_2439.jpg Browse_Graphic_File_Description: A location map in Joint Photographic Experts Group (JPEG) file format is included in each of the landcover zip files. These maps provide additional context for the landcover raster dataset coverage in the study area. Browse_Graphic_File_Type: JPEG Data_Set_Credit: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center. Funding and (or) support for this study were provided as part of the Extending Government Funding and Delivering Emergency Assistance Act (Public Law 117-43), enacted on September 30, 2021. This document was improved by scientific and metadata reviews by Kathryn Weber and Tess Rivenbark-Terrano (USGS SPCMSC). Native_Data_Set_Environment: Windows 11 Enterprise version 23H2 (22631.4890); Microsoft Excel for Microsoft 365 MSO (Version 2408 Build 16.0.17928.20538); Esri ArcGIS Pro 3.2.2; ERDAS IMAGINE 2023 Version 16.8.0 Build 2100; MATLAB R2022a Update 8 (9.12.0.2529717) Cross_Reference: Citation_Information: Originator: Julie C. Bernier Originator: Jennifer L. Miselis Originator: Nathaniel G. Plant Publication_Date: 20210921 Title: Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana Series_Information: Series_Name: Remote Sensing Issue_Identification: 13(18), 3778; Special Issue "New Insights into Ecosystem Monitoring Using Geospatial Techniques" Online_Linkage: https://doi.org/10.3390/rs13183779 Cross_Reference: Citation_Information: Originator: Hanqiu Xu Publication_Date: 2006 Title: Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery Series_Information: Series_Name: International Journal of Remote Sensing Issue_Identification: Volume 27, Issue 14 Other_Citation_Details: Pages 3025-3033 Online_Linkage: https://doi.org/10.1080/01431160600589179 Cross_Reference: Citation_Information: Originator: Hui Li Originator: Cuizhen Wang Originator: Cheng Zhong Originator: Aijun Su Originator: Chengren Xiong Originator: Jinge Wang Originator: Junqi Liu Publication_Date: 20170307 Title: Mapping Urban Bare Land Automatically from Landsat Imagery with a Simple Index Series_Information: Series_Name: Remote Sensing Issue_Identification: 9(3), 249 Online_Linkage: https://doi.org/10.3390/rs9030249 Cross_Reference: Citation_Information: Originator: Nobuyuki Otsu Publication_Date: 197901 Title: A Threshold Selection Method from Gray-Level Histograms Series_Information: Series_Name: IEEE Transactions on Systems, Man and Cybernetics Issue_Identification: Volume 9, Issue 1 Other_Citation_Details: Pages 62-66 Online_Linkage: https://doi.org/10.1109/TSMC.1979.4310076 Cross_Reference: Citation_Information: Originator: Nicholas M. Enwright Originator: William M. SooHoo Originator: Jason Dugas Originator: Craig P. Conzelmann Originator: Claudia Laurenzano Originator: Darin M. Lee Originator: Kelly Mouton Originator: Spencer J. Stelly Publication_Date: 20201030 Title: Louisiana Barrier Island Comprehensive Monitoring Program: Mapping Habitats in Beach, Dune, and Intertidal Environments Along the Louisiana Gulf of Mexico Shoreline, 2008 and 2015–16 Series_Information: Series_Name: U.S. Geological Survey Open-File Report Issue_Identification: 2020-1030, 57p Online_Linkage: https://doi.org/10.3133/ofr20201030 Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: Due to the large spatial extent of this analysis and a lack of ground-truth datasets with similar temporal resolution, regional-scale classification accuracy was not quantitatively assessed. Using a similar methodology and workflow, Bernier and others (2021) reported classification accuracies (>=70%) that were comparable to accuracies reported for the National Land Cover Database (NLCD). Visual comparison of the classed land-cover rasters derived in this study with available NLCD data showed good agreement. Logical_Consistency_Report: For each image-acquisition date, Landsat Collection 2, Level-2 science products were downloaded from the USGS Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA) On Demand Interface (https://espa.cr.usgs.gov/). Completeness_Report: 139 Landsat 8 and 40 Landsat 9 OLI images (Worldwide Reference System 2 [WRS-2] path 22 row 40, WRS-2 path 23 row 40, and WRS-2 path 24 row 39) acquired between April 2013 and December 2024 were analyzed. Due to the large geographic extent of each image, and to maximize the number of images analyzed, 37 images were clipped to either the eastern or western part of the scene-specific area of interest (AOI) to exclude cloud cover. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Geodetic accuracy of Landsat data products depends on the accuracy of the ground control points and the resolution of the digital elevation model (DEM) used. All Level-2 science products are derived from Level-1 Tier-1 Precision and Terrain (L1TP) corrected data and meet pre-defined image-to-image georegistration tolerances of <= 12-meter (m) radial root mean square error (RMSE). Lineage: Process_Step: Process_Description: The regional AOI, which was derived from the State of Louisiana’s Barrier Island Comprehensive Monitoring (BICM) Program habitat mapping extents (Enwright and others, 2020), was subset into three scene-specific AOIs for processing and analysis: WRS-2 path 22 row 40 (dr22_2240), WRS-2 path 23 row 40 (dr22_2340), and WRS-2 path 24 row 39 (dr22_2439). Process_Date: 2024 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Julie C. Bernier Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: jbernier@usgs.gov Process_Step: Process_Description: For each image acquisition date, Collection-2, Level-2 surface reflectance (SR; reflective bands), surface temperature (ST; thermal infrared [TIR] bands), and SR-derived NDVI images were downloaded from the EROS ESPA On Demand Interface (https://espa.cr.usgs.gov/). Process_Date: 2025 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Sydney K. Nick Contact_Position: Geographer Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: snick@usgs.gov Process_Step: Process_Description: All images were batch-processed using Spatial Model Editor in ERDAS IMAGINE. The SR bands were stacked to create 8-band multispectral images and clipped to the scene-specific AOI. From these composite images and the corresponding ST images, two additional spectral indices, mNDWI (Xu, 2006) and NBLI (Li and others, 2017), were calculated. Process_Date: 2025 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Sydney K. Nick Contact_Position: Geographer Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: snick@usgs.gov Process_Step: Process_Description: Land-cover classification was modified from the workflow described by Bernier and others (2021) using single (mNDWI), multilevel (2 thresholds per image; NBLI), or iterative (NDVI) thresholding of spectral indices and applying a rule-based classification scheme. First, Otsu's method (Otsu, 1979) for automatic histogram thresholding was applied to mNDWI images to create a binary "land"-water raster for each image acquisition date. Second, water and urban areas (derived from the BICM “structure” class [Enwright and others, 2020]) were masked from NBLI and NDVI images, and Otsu's method was applied to the masked images to create binary bare earth-"unclassed" and vegetated-"unclassed" rasters, respectively. For the WRS-2 path 23 row 40 (dr22_2340) scene-specific AOI only, the downloaded ST images included 2 large areas of missing data east of Freshwater Bayou Canal, which are the result of missing Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) input data (see https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-temperature-data-gaps-due-missing-aster-ged for more information) necessary for ST product generation. Without ST data, NBLI could not be calculated for these pixels and any land-cover classification relying on NBLI input is invalid. Therefore, a mask was created from the ST “NoData” pixels and included in the land-cover classification. The following rule-based classification was then applied with each successive step applied to any unclassed pixels from the previous steps, where T represents the single Otsu threshold, T1 and T2 represent the first and second multi-Otsu thresholds, respectively, and Ti represents the second iteration of Otsu thresholding for each spectral index: If mNDWI > T then class (1) = water If ST = NoData then class (2) = land (undifferentiated) If NBLI > T2 then class (3) = bare earth (sand) If NDVI > Ti or (NDVI < Ti and NBLI < T1) then class (4) = vegetated If T1 < NBLI < T2 and NDVI < Ti then class (11) = intertidal Finally, the binary land-cover images were converted to thematic rasters, merged, single-pixel "clumps" were removed using a 3x3 majority filter, and a standard colormap was applied to create a final land-cover raster dataset for each image acquisition date. The resulting land-cover rasters use the naming convention YYYYMMDD_lc##_AOI_lcr_ce.img, where YYYYMMDD denotes the image-acquisition date (4-digit year, 2-digit month, 2-digit day), lc## denotes Landsat 8 (lc08) or Landsat 9 (lc09) image source, AOI denotes the scene-specific AOI, and lcr_ce are process step abbreviations where lcr indicates the "raw" land cover files that were created by thresholding the spectral indices were merged following the rule-based classification and ce indicates that single-pixel "clumps" were removed. All steps were batch-processed using the Image Processing toolbox in MATLAB (Otsu thresholding and binary image creation) or Spatial Model Editor in ERDAS IMAGINE (spectral index masking and generation of classed land-cover rasters). Process_Date: 2025 Source_Produced_Citation_Abbreviation: YYYYMMDD_lc08_AOI_lcr_ce.img Source_Produced_Citation_Abbreviation: YYYYMMDD_lc09_AOI_lcr_ce.img Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Julie C. Bernier Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: jbernier@usgs.gov Process_Step: Process_Description: For 37 datasets, the images were clipped to either the eastern or western part of the scene-specific AOI to exclude cloud cover. The clipped land-cover rasters use the naming convention YYYYMMDD_lc##_AOI_lcr_ce_east.img or YYYYMMDD_lc##_AOI_lcr_ce_west.img using the same naming convention as described above. All images were batch-processed using Spatial Model Editor in ERDAS IMAGINE. For WRS-2 path 24 row 39 (dr22_2439), images were clipped to east or west of Calcasieu River; for WRS-2 path 23 row 40 (dr22_2340), images were clipped to west of (including) Marsh Island or east of Freshwater Bayou Canal; and for WRS-2 path 22 row 40 (dr22_2240), images were clipped to north and west of Caillou Boca or east of Raccoon Point. Process_Date: 2025 Source_Produced_Citation_Abbreviation: YYYYMMDD_lc08_AOI_lcr_ce_east.img Source_Produced_Citation_Abbreviation: YYYYMMDD_lc08_AOI_lcr_ce_west.img Source_Produced_Citation_Abbreviation: YYYYMMDD_lc09_AOI_lcr_ce_east.img Source_Produced_Citation_Abbreviation: YYYYMMDD_lc09_AOI_lcr_ce_west.img Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Sydney K. Nick Contact_Position: Geographer Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: snick@usgs.gov Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 15 Transverse_Mercator: Scale_Factor_at_Central_Meridian: 1.0 Longitude_of_Central_Meridian: -93.0 Latitude_of_Projection_Origin: 0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: row and column Coordinate_Representation: Abscissa_Resolution: 30 Ordinate_Resolution: 30 Planar_Distance_Units: Meters Geodetic_Model: Horizontal_Datum_Name: D WGS 1984 Ellipsoid_Name: WGS 1984 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.25722 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: la_2240_landcover.zip, la_2340_landcover.zip, la_2439_landcover.zip Entity_Type_Definition: Zip archive containing 179 thematic land-cover raster datasets in ERDAS IMAGINE (.img) format for the WRS-2 path 22 row 40 (dr22_2240), WRS-2 path 23 row 40 (dr22_2340), WRS-2 path 24 row 39 (dr22_2439) AOIs. An AOI location map in JPEG format is also included in each zip file. Entity_Type_Definition_Source: USGS Attribute: Attribute_Label: OID Attribute_Definition: Internal feature number Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated Attribute: Attribute_Label: Value Attribute_Definition: Land-cover class number Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 0 Enumerated_Domain_Value_Definition: Out - pixels outside of analysis extent or masked urban areas Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 1 Enumerated_Domain_Value_Definition: Water - pixels classified as water Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 2 Enumerated_Domain_Value_Definition: Land (unclassed) - pixels classified as land that could not be further grouped into sand, vegetated, or intertidal classes because of missing input ST data Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 3 Enumerated_Domain_Value_Definition: Bare earth (sand) - pixels classified as bare earth (sand) land cover Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 4 Enumerated_Domain_Value_Definition: Vegetated - pixels classified as vegetated land cover Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 11 Enumerated_Domain_Value_Definition: Intertidal - pixels classified as intertidal land cover Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Values of 5 through 10 and 12 through 255 are not used to define a land-cover class but are stored by default in the 8-bit raster attribute table. Attribute: Attribute_Label: Count (Esri ArcGIS) or Histogram (Erdas Imagine) Attribute_Definition: Number of pixels per land-cover class Attribute_Definition_Source: Hexagon Geospatial Attribute_Domain_Values: Unrepresentable_Domain: Number of pixels per land-cover class Attribute: Attribute_Label: Class_Name Attribute_Definition: Land-cover type Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Out Enumerated_Domain_Value_Definition: Pixels outside of the analysis extent or masked urban pixels. These pixels are set to transparent in the thematic land-cover rasters. Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Water Enumerated_Domain_Value_Definition: Pixels classified as water (symbolized in dark blue) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Land (unclassed) Enumerated_Domain_Value_Definition: Pixels classified as land that could not be further grouped into sand, vegetated, or intertidal classes because of missing input ST data (symbolized in light brown) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Bare earth (sand) Enumerated_Domain_Value_Definition: Pixels classified as bare earth (sand) land cover (symbolized in dark brown) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Vegetated Enumerated_Domain_Value_Definition: Pixels classified as vegetated land cover (symbolized in dark green) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Intertidal Enumerated_Domain_Value_Definition: Pixels classified intertidal (symbolized in light blue) Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: Red Attribute_Definition: Red value for RGB color map Attribute_Definition_Source: Hexagon Geospatial Attribute_Domain_Values: Unrepresentable_Domain: Red value for RGB colormap Attribute: Attribute_Label: Green Attribute_Definition: Green value for RGB color map Attribute_Definition_Source: Hexagon Geospatial Attribute_Domain_Values: Unrepresentable_Domain: Green value for RGB colormap Attribute: Attribute_Label: Blue Attribute_Definition: Blue value for RGB color map Attribute_Definition_Source: Hexagon Geospatial Attribute_Domain_Values: Unrepresentable_Domain: Blue value for RGB colormap Attribute: Attribute_Label: Opacity Attribute_Definition: Opacity (on or off) of land-cover class. Values in the attribute table depend on the software used to view the data but are most commonly 0 (off) and 1 or 255 (on). Attribute_Definition_Source: Hexagon Geospatial Attribute_Domain_Values: Unrepresentable_Domain: Opacity (on or off) of land-cover class Detailed_Description: Entity_Type: Entity_Type_Label: la_imagery.zip Entity_Type_Definition: Zip archive containing Microsoft Excel (.xlsx) and comma-separated values (.csv) files describing source imagery, scene-specific AOI, and tidal water level and tidal stage at selected National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS) tide gauges for each of 179 thematic land-cover raster datasets. Gauge locations are shown on the location maps included with each land-cover zip archive. Entity_Type_Definition_Source: USGS Attribute: Attribute_Label: FILENAME Attribute_Definition: File name of classed land-cover raster Attribute_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Character string Attribute: Attribute_Label: SCENE_ID Attribute_Definition: Landsat Collection 2, Level 2 source data downloaded from EROS ESPA Attribute_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Landsat source imagery data identifier Attribute: Attribute_Label: IMAGE_DATE Attribute_Definition: Source image-acquisition date Attribute_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Source image acquisition date written as DD-MON-YYYY (2-digit day, 3-letter month, 4-digit year) Attribute: Attribute_Label: DEC_YEAR Attribute_Definition: Source image-acquisition date, in decimal years Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 2013.301 Range_Domain_Maximum: 2024.997 Attribute_Units_of_Measure: Decimal year Attribute_Measurement_Resolution: 0.001 Attribute: Attribute_Label: AOI Attribute_Definition: Scene-specific area of interest Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: dr22_2240 Enumerated_Domain_Value_Definition: WRS-2 path 22 row 40 scene-specific AOI Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: dr22_2340 Enumerated_Domain_Value_Definition: WRS-2 path 23 row 40 scene-specific AOI Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: dr22_2439 Enumerated_Domain_Value_Definition: WRS-2 path 24 row 39 scene-specific AOI Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: TexasPointWL_mMSL Attribute_Definition: Water level at the Texas Point tide gauge (NOS CO-OPS station #8770822) at the time of image acquisition, in meters relative to mean sea level (MSL). Applies only to the WRS-2 path 24 row 39 (dr22_2439) scene-specific AOI. A dash is used to indicate a no data value. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -0.546 Range_Domain_Maximum: 0.967 Attribute_Units_of_Measure: Meters Attribute_Measurement_Resolution: 0.001 Attribute: Attribute_Label: TexasPoint_TidalStage Attribute_Definition: Tidal stage at the Texas Point tide gauge (NOS CO-OPS station #8770822) at the time of image acquisition Applies only to the WRS-2 path 24 row 39 (dr22_2439) scene-specific AOI. A dash is used to indicate a no data value. Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: rising Enumerated_Domain_Value_Definition: Tidal stage rising between low and high tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: falling Enumerated_Domain_Value_Definition: Tidal stage falling between high and low tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: high Enumerated_Domain_Value_Definition: High tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: low Enumerated_Domain_Value_Definition: Low tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: falling (p) Enumerated_Domain_Value_Definition: Predicted tidal stage falling between high and low tide (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: rising (p) Enumerated_Domain_Value_Definition: Predicted tidal stage rising between high and low tide (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: EugeneIsland_mMSL Attribute_Definition: Water level at the Euguene Island tide gauge (NOS CO-OPS station 8764314) at the time of image acquisition, in meters relative to mean sea level (MSL). Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -0.875 Range_Domain_Maximum: 0.511 Attribute_Units_of_Measure: Meters Attribute_Measurement_Resolution: 0.001 Attribute: Attribute_Label: EugeneIsland_TidalStage Attribute_Definition: Tidal stage at the Euguene Island tide gauge (NOS CO-OPS station 8764314) at the time of image acquisition, in meters relative to mean sea level (MSL). Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: rising Enumerated_Domain_Value_Definition: Tidal stage rising between low and high tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: falling Enumerated_Domain_Value_Definition: Tidal stage falling between high and low tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: high Enumerated_Domain_Value_Definition: High tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: low Enumerated_Domain_Value_Definition: Low tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: falling (p) Enumerated_Domain_Value_Definition: Predicted tidal stage falling between high and low tide (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: rising (p) Enumerated_Domain_Value_Definition: Predicted tidal stage rising between high and low tide (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: high (p) Enumerated_Domain_Value_Definition: Predicted tidal stage high (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: low (p) Enumerated_Domain_Value_Definition: Predicted tidal stage low (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: GrandIsle_mMSL Attribute_Definition: Water level at the Grand Isle tide gauge (NOS CO-OPS station #8761724) at the time of image acquisition. Applies only to the WRS-2 path 22 row 40 (dr22_2240) scene-specific AOI. A dash is used to indicate a no data value. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -0.474 Range_Domain_Maximum: 0.431 Attribute_Units_of_Measure: Meters Attribute_Measurement_Resolution: 0.001 Attribute: Attribute_Label: GrandIsle_TidalStage Attribute_Definition: Tidal stage at the Grand Isle gauge (NOS CO-OPS station #8761724) at the time of image acquisition. Applies only to the WRS-2 path 22 row 40 (dr22_2240) scene-specific AOI. A dash is used to indicate a no data value. Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: rising Enumerated_Domain_Value_Definition: Tidal stage rising between low and high tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: falling Enumerated_Domain_Value_Definition: Tidal stage falling between high and low tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: high Enumerated_Domain_Value_Definition: High tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: low Enumerated_Domain_Value_Definition: Low tide Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: falling (p) Enumerated_Domain_Value_Definition: Predicted tidal stage falling between high and low tide (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: rising (p) Enumerated_Domain_Value_Definition: Predicted tidal stage falling between high and low tide (verified water-level data not available) Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: COMMENT Attribute_Definition: Comment indicating clip extent for the scenes that were clipped due to interfering cloud cover Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: analysis extent clipped to west of Calcasieu River Enumerated_Domain_Value_Definition: Scene was clipped to west of Calcasieu River Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: analysis extent clipped to east of Calcasieu River Enumerated_Domain_Value_Definition: Scene was clipped to east of the Calcasieu River Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: analysis extent clipped to west of Marsh Island Enumerated_Domain_Value_Definition: Scene was clipped to west of (including) Marsh Island Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: analysis extent clipped to east of Freshwater Bayou Canal Enumerated_Domain_Value_Definition: Scene was clipped to east of Freshwater Bayou Canal Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: analysis extent clipped to west of Caillou Boca Enumerated_Domain_Value_Definition: Scene was clipped to north and west of Caillou Boca Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: analysis extent clipped to east of Raccoon Point Enumerated_Domain_Value_Definition: Scene was clipped to east of Raccoon Point Enumerated_Domain_Value_Definition_Source: USGS Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center Contact_Person: USGS SPCMSC Data Management Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov Resource_Description: YYYYMMDD_lc08_AOI_lcr_ce.img, YYYYMMDD_lc09_AOI_lcr_ce.img, YYYYMMDD_lc08_AOI_lcr_ce_east.img, YYYYMMDD_lc08_AOI_lcr_ce_west.img, YYYYMMDD_lc09_AOI_lcr_ce_east.img, YYYYMMDD_lc09_AOI_lcr_ce_west.img Distribution_Liability: 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. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: ERDAS IMAGINE, JPEG, comma-delimited text, Microsoft Excel format Format_Information_Content: Download files contain ERDAS IMAGINE (.img) land-cover rasters, JPEG location maps, Microsoft Excel (.xlsx) spreadsheets, and comma-separated values (.csv) text files. Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P1MSCTUB/data/la_2439_landcover.zip Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P1MSCTUB/data/la_2340_landcover.zip Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P1MSCTUB/data/la_2240_landcover.zip Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P1MSCTUB/data/la_imagery.zip Fees: None Technical_Prerequisites: Raster datasets were created using ERDAS IMAGINE 2023 and can be opened using ERDAS IMAGINE 2020 or higher or Esri ArcGIS Pro version 3.1 or higher; these data may also be viewed using free Google Earth Pro or QGIS software. Metadata_Reference_Information: Metadata_Date: 20251203 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center Contact_Person: USGS SPCMSC Data Management Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998