Metadata: Identification_Information: Citation: Citation_Information: Originator: Julie C. Bernier Publication_Date: 20210921 Title: Coastal Land-Cover Data Derived from Landsat Satellite Imagery, Northern Chandeleur Islands, Louisiana, 1984-2019 Geospatial_Data_Presentation_Form: Raster and tabular digital data Larger_Work_Citation: Citation_Information: Originator: Julie C. Bernier Publication_Date: 20210921 Title: Coastal Land-Cover and Feature Datasets Derived from Landsat Satellite Imagery, Northern Chandeleur Islands, Louisiana Series_Information: Series_Name: U.S. Geological Survey data release Issue_Identification: doi:10.5066/P9HY3HOR 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/P9HY3HOR Description: Abstract: The data release (Bernier, 2021) associated with this metadata record serves as an archive of coastal land-cover and feature datasets derived from Landsat satellite imagery at the northern Chandeleur Islands, Louisiana. To minimize the effects of tidal water-level variations, 75 cloud-free, low-water images acquired between 1984 and 2019 were analyzed. Water, bare earth (sand), vegetated, and intertidal land-cover classes were mapped from Hewes Point to Palos Island using 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). Vector shoreline, sand, and vegetated feature extents were extracted for each image by contouring the spectral indices using the calculated threshold values. The geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FGDC) metadata can be downloaded from https://doi.org/10.5066/P9HY3HOR. Purpose: Dissemination of thematic raster data representing land-cover classes derived from 52 Landsat 5 Thematic Mapper (TM), 10 Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and 13 Landsat 8 Operational Land Imager (OLI) image datasets from the northern Chandeleur Islands, Louisiana. Supplemental_Information: Information about the Landsat missions, sensor and band specifications, data products, and data access can be found at https://www.usgs.gov/core-science-systems/nli/landsat. The land-cover and feature-extent datasets published in Bernier (2021) support analyses presented by Bernier and others (2021). Time_Period_of_Content: Time_Period_Information: Multiple_Dates/Times: Single_Date/Time: Calendar_Date: 19840325 Single_Date/Time: Calendar_Date: 19860131 Single_Date/Time: Calendar_Date: 19870408 Single_Date/Time: Calendar_Date: 19871118 Single_Date/Time: Calendar_Date: 19880206 Single_Date/Time: Calendar_Date: 19880426 Single_Date/Time: Calendar_Date: 19890123 Single_Date/Time: Calendar_Date: 19891225 Single_Date/Time: Calendar_Date: 19900923 Single_Date/Time: Calendar_Date: 19910214 Single_Date/Time: Calendar_Date: 19910926 Single_Date/Time: Calendar_Date: 19920201 Single_Date/Time: Calendar_Date: 19920304 Single_Date/Time: Calendar_Date: 19921014 Single_Date/Time: Calendar_Date: 19930219 Single_Date/Time: Calendar_Date: 19930307 Single_Date/Time: Calendar_Date: 19940121 Single_Date/Time: Calendar_Date: 19941121 Single_Date/Time: Calendar_Date: 19941223 Single_Date/Time: Calendar_Date: 19950108 Single_Date/Time: Calendar_Date: 19950225 Single_Date/Time: Calendar_Date: 19951210 Single_Date/Time: Calendar_Date: 19960127 Single_Date/Time: Calendar_Date: 19960212 Single_Date/Time: Calendar_Date: 19961110 Single_Date/Time: Calendar_Date: 19980217 Single_Date/Time: Calendar_Date: 19980422 Single_Date/Time: Calendar_Date: 19990119 Single_Date/Time: Calendar_Date: 19990220 Single_Date/Time: Calendar_Date: 19990324 Single_Date/Time: Calendar_Date: 20000114 Single_Date/Time: Calendar_Date: 20000215 Single_Date/Time: Calendar_Date: 20001028 Single_Date/Time: Calendar_Date: 20010305 Single_Date/Time: Calendar_Date: 20010321 Single_Date/Time: Calendar_Date: 20010406 Single_Date/Time: Calendar_Date: 20010921 Single_Date/Time: Calendar_Date: 20011226 Single_Date/Time: Calendar_Date: 20020228 Single_Date/Time: Calendar_Date: 20021221 Single_Date/Time: Calendar_Date: 20030106 Single_Date/Time: Calendar_Date: 20030114 Single_Date/Time: Calendar_Date: 20030215 Single_Date/Time: Calendar_Date: 20030223 Single_Date/Time: Calendar_Date: 20030327 Single_Date/Time: Calendar_Date: 20031029 Single_Date/Time: Calendar_Date: 20031114 Single_Date/Time: Calendar_Date: 20040321 Single_Date/Time: Calendar_Date: 20041015 Single_Date/Time: Calendar_Date: 20050324 Single_Date/Time: Calendar_Date: 20051018 Single_Date/Time: Calendar_Date: 20060207 Single_Date/Time: Calendar_Date: 20070109 Single_Date/Time: Calendar_Date: 20070125 Single_Date/Time: Calendar_Date: 20080316 Single_Date/Time: Calendar_Date: 20090130 Single_Date/Time: Calendar_Date: 20090420 Single_Date/Time: Calendar_Date: 20100218 Single_Date/Time: Calendar_Date: 20101203 Single_Date/Time: Calendar_Date: 20101219 Single_Date/Time: Calendar_Date: 20110221 Single_Date/Time: Calendar_Date: 20111003 Single_Date/Time: Calendar_Date: 20131024 Single_Date/Time: Calendar_Date: 20131211 Single_Date/Time: Calendar_Date: 20140112 Single_Date/Time: Calendar_Date: 20140301 Single_Date/Time: Calendar_Date: 20141214 Single_Date/Time: Calendar_Date: 20150320 Single_Date/Time: Calendar_Date: 20160118 Single_Date/Time: Calendar_Date: 20160306 Single_Date/Time: Calendar_Date: 20160322 Single_Date/Time: Calendar_Date: 20161117 Single_Date/Time: Calendar_Date: 20170309 Single_Date/Time: Calendar_Date: 20171222 Single_Date/Time: Calendar_Date: 20190110 Currentness_Reference: Ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -88.932712 East_Bounding_Coordinate: -88.742256 North_Bounding_Coordinate: 30.097824 South_Bounding_Coordinate: 29.720211 Keywords: Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:d113e927-39ba-47e8-a29c-61a12b5ee8f9 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: barrier island 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 Theme_Keyword: intertidal Place: Place_Keyword_Thesaurus: Geographic Names Information System (GNIS) Place_Keyword: Louisiana Place_Keyword: Chandeleur Islands Place_Keyword: Gulf of Mexico Access_Constraints: None Use_Constraints: The U.S. Geological Survey requests that it be acknowledged as the originator of this dataset in any future products or research derived from these data. 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 Data_Set_Credit: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center. Native_Data_Set_Environment: Microsoft Windows 10 Version 6.2 (Build 9200); Esri ArcGIS 10.6.0.8321; ERDAS IMAGINE Version 16.00.0000 Build 199; MATLAB R2020a Update 4 (9.8.0.1417392) 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: Special Issue "New Insights into Ecosystem Monitoring Using Geospatial Techniques" Online_Linkage: https://doi.org/10.3390/rs13183779 Cross_Reference: Citation_Information: Originator: Nobuyuki Otsu Publication_Date: 1979 Title: A Threshold Selection Method from Gray-Level Histograms Series_Information: Series_Name: IEEE Transactions on Systmes, Man and Cybernetics Issue_Identification: Volume 9 Other_Citation_Details: Pages 62-66 Online_Linkage: https://doi.org/10.1109/TSMC.1979.4310076 Data_Quality_Information: Logical_Consistency_Report: For each image-acquisition date, Landsat Collection 1, Level-1 Precision and Terrain (L1TP) corrected data products and 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: 193 Landsat TM, ETM+, and OLI images (Worldwide Reference System 2 [WRS-2] path 21 row 39) acquired between March 1984 and January 2019 were identified that were cloud free and, for Landsat 7 ETM+ images, were either pre-scan line corrector failure (SLC-off) or SLC-off gap free over the study area. To minimize the effects of water-level variations on land-cover classification, only images that were collected within 2 hours of predicted low tide or were collected on a rising tide with predicted water levels at time of acquisition less than mean sea level (National Ocean Service [NOS] Center for Operational Oceanographic Products and Services [CO-OPS] station 8760172, Chandeleur Light, LA) were analyzed. The resulting dataset consisted of 52 Landsat 5 TM, 10 Landsat 7 ETM+, and 13 Landsat 8 OLI images. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Geodetic accuracy of Landsat L1TP data products depend on the accuracy of the ground control points and the resolution of the digital elevation model (DEM) used. All L1TP data products and derived Level-2 science products meet pre-defined image-to-image georegistration tolerances of <= 12-meter radial root mean square error (RMSE). Lineage: Process_Step: Process_Description: For each image acquisition date, top-of-atmosphere (TOA) reflectance (reflective bands), TOA brightness temperature (BT; thermal infrared [TIR] bands), and surface reflectance-derived NDVI images were downloaded from the EROS ESPA On Demand Interface (https://espa.cr.usgs.gov/). Process_Date: 2019 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: All images were batch-processed using Spatial Model Editor in ERDAS IMAGINE 2016. The TOA and BT bands were stacked to create 7- (TM, ETM+) or 9- (OLI) band multispectral images and clipped to the study-area extent. From these composite images, two additional spectral indices, mNDWI and NBLI, were calculated. Process_Date: 2019 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: Land-cover classification was performed using progressive, automatic thresholding of spectral indices. 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 area was 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. Because thresholding was applied to masked NBLI and NDVI simultaneously, some pixels along the sand-vegetation boundary were classed as both sand and vegetated in this step. We mapped these pixels as sand using the following rule: if NBLI = sand and NDVI = vegetated, then final = sand (based on visual analysis during workflow development). Next, water, bare earth (sand), and vegetated areas were masked from mNDWI images, and Otsu's method was applied to the masked mNDWI image to separate the "submerged" and "emergent" intertidal areas. Finally, the binary land-cover images were converted to thematic rasters, merged, and single-pixel "clumps" were removed using a 3x3 majority filter to create a final land-cover raster dataset. The resulting land-cover rasters use the naming convention YYYYMMDD_lt05_nchan_lcr_ce.img (Landsat 5), YYYYMMDD_le07_nchan_lcr_ce.img (Landsat 7), or YYYYMMDD_lc08_nchan_lcr_ce.img (Landsat 8), where YYYYMMDD denotes the image-acquisition date (4-digit year, 2-digit month, 2-digit day). All steps were batch-processed using the Image Processing toolbox in MATLAB version R2018a (Otsu thresholding and binary image creation) or Spatial Model Editor in ERDAS IMAGINE 2016 (spectral index masking and generation of classed land-cover rasters). Process_Date: 2019 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 15 datasets, thresholding resulted in significant misclassification of back-barrier seagrass beds as vegetated. These were identified based on visual comparison with ancillary datasets and vegetation persistence maps, and misclassed extents were manually cleaned from the final datasets by selecting and re-classing the pixels in ERDAS IMAGINE. The cleaned land-cover rasters use the naming convention YYYYMMDD_lt05_nchan_lcr_ce_cl.img (Landsat 5), YYYYMMDD_le07_nchan_lcr_ce_cl.img (Landsat 7), or YYYYMMDD_lc08_nchan_lcr_ce_cl.img (Landsat 8), where YYYYMMDD denotes the image-acquisition date. Process_Date: 2020 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: The histogram (pixel count) for each raster was exported to a text file using Spatial Model Editor in ERDAS IMAGINE 2016, merged into a single file, and used to calculate the total area for each land-cover type based on the relationship 1 pixel = 30 meters x 30 meters. Process_Date: 2020 Source_Produced_Citation_Abbreviation: nchan_landcover.csv 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 Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Raster_Object_Information: Raster_Object_Type: Grid cell Row_Count: 591 Column_Count: 1386 Vertical_Count: 1 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 16 Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -87.0 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: 298.257223563 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: nchan_landcover.zip Entity_Type_Definition: Zip archive containing thematic land-cover raster datasets in ERDAS IMAGINE (.img) format for each of 75 Landsat image-acquisition dates. 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 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: 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 (submerged) - pixels classified as submerged intertidal areas Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 12 Enumerated_Domain_Value_Definition: Intertidal (emergent) - pixels classified as emergent intertidal areas Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 14 Enumerated_Domain_Value_Definition: Intertidal (reclassed) - pixels classified as intertidal (submerged) after manual cleaning of misclassed seagrass extents Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Values between 0 and 255 that are not defined above but are stored in the 8-bit raster attribute table Attribute: Attribute_Label: Count 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: 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 Attribute_Definition_Source: Hexagon Geospatial Attribute_Domain_Values: Unrepresentable_Domain: Opacity (on or off) of 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 analysis extent Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Water Enumerated_Domain_Value_Definition: Pixels classified as water 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 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 Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Intertidal (submerged) Enumerated_Domain_Value_Definition: Pixels classified as submerged intertidal areas Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Intertidal (emergent) Enumerated_Domain_Value_Definition: Pixels classified as emergent intertidal areas Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Intertidal (reclassed) Enumerated_Domain_Value_Definition: Pixels classified as water after manual cleaning of misclassed seagrass extents Enumerated_Domain_Value_Definition_Source: USGS Detailed_Description: Entity_Type: Entity_Type_Label: nchan_landcover.csv Entity_Type_Definition: Comma-separated values file detailing land-cover pixel count and total area for each of 75 Landsat image-acquisition dates 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: ImageDate 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: DecYear Attribute_Definition: Source image-acquisition date, in decimal years Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1984.230 Range_Domain_Maximum: 2019.027 Attribute_Units_of_Measure: Decimal year Attribute_Measurement_Resolution: 0.001 Attribute: Attribute_Label: Water_count Attribute_Definition: Number of pixels classed as water Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 777360 Range_Domain_Maximum: 811846 Attribute_Units_of_Measure: Pixels Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: BareEarth_count Attribute_Definition: Number of pixels classed as bare earth (sand) Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 950 Range_Domain_Maximum: 7335 Attribute_Units_of_Measure: Pixels Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: Vegetated_count Attribute_Definition: Number of pixels classed as vegetated Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1924 Range_Domain_Maximum: 15804 Attribute_Units_of_Measure: Pixels Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: IntertidalSub_count Attribute_Definition: Number of pixels classed as intertidal (submerged) Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1568 Range_Domain_Maximum: 10726 Attribute_Units_of_Measure: Pixels Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: IntertidalEmrg_count Attribute_Definition: Number of pixels classed as intertidal (emergent) Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1547 Range_Domain_Maximum: 9493 Attribute_Units_of_Measure: Pixels Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: IntertidalRcl_count Attribute_Definition: Number of pixels classed as intertidal (reclassed) Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 3610 Attribute_Units_of_Measure: Pixels Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: Water_m2 Attribute_Definition: Area classed as water, in square meters Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 699624000 Range_Domain_Maximum: 730661400 Attribute_Units_of_Measure: Square meters Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: BareEarth_m2 Attribute_Definition: Area classed as bare earth (sand), in square meters Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 855000 Range_Domain_Maximum: 6601500 Attribute_Units_of_Measure: Square meters Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: Vegetated_m2 Attribute_Definition: Area classed as vegetated, in square meters Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1731600 Range_Domain_Maximum: 14223600 Attribute_Units_of_Measure: Square meters Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: IntertidalSub_m2 Attribute_Definition: Area classed as intertidal (submerged), in square meters Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1411200 Range_Domain_Maximum: 9653400 Attribute_Units_of_Measure: Square meters Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: IntertidalEmrg_m2 Attribute_Definition: Area classed as intertidal (emergent), in square meters Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1392300 Range_Domain_Maximum: 8543700 Attribute_Units_of_Measure: Square meters Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: IntertidalRcl_m2 Attribute_Definition: Area classed as intertidal (reclassed), in square meters Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 3249000 Attribute_Units_of_Measure: Square meters Attribute_Measurement_Resolution: 1 Distribution_Information: Distributor: 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 Resource_Description: *.img, nchan_landcover.csv Distribution_Liability: This publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: Compressed (zip) archive Format_Version_Date: 2021 Format_Information_Content: This zip archive contains thematic land-cover raster datasets in ERDAS IMAGINE (.img) format, land-cover pixel count and total area in comma-separated values (.csv) format, and accompanying metadata for each of 75 Landsat image-acquisition dates. File_Decompression_Technique: Unzip Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9HY3HOR/data/nchan_landcover.zip Fees: None, if obtained online Technical_Prerequisites: Raster datasets were created using ERDAS IMAGINE 2016 and can be opened using ERDAS IMAGINE or Esri ArcGIS version 10.0 or higher; these data may also be viewed using the free Google Earth Pro or QGIS viewers. Metadata_Reference_Information: Metadata_Date: 20210921 Metadata_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 Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Access_Constraints: None Metadata_Use_Constraints: The U.S. Geological Survey requests that it be acknowledged as the originator of this dataset in any future products or research derived from these data. Metadata_Security_Information: Metadata_Security_Classification_System: None Metadata_Security_Classification: Unclassified Metadata_Security_Handling_Description: None