20260219 08355400 1.0 FALSE me_statewide_2021_ccapv2_hires_landcover_20250617_ProjEpsg26919.tif 266376.759175 733511.759175 4690248.303035 5287177.303035 1 001 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_19N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_19N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-69.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26919]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26919</WKID><LatestWKID>26919</LatestWKID></ProjectedCoordinateSystem> 8 TRUE LZW 1 TIFF TRUE discrete unsigned integer 0 20260331 11244400 20260331 11403600 5000000 5000 NAP Esri ArcGIS 13.5.5.57366 me_statewide_2021_ccapv2_hires_landcover_20250617_ProjEpsg26919.tif view 2025-06-19T00:00:00 NOAA Office for Coastal Management coastal.info@noaa.gov US NOAA Coastal Change Analysis Program (C-CAP) State of Maine High Resolution Land Cover Data. Data collected 2021. Charleston, SC: National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management. Data accessed at https://coast.noaa.gov/digitalcoast/data/ccaphighres.html. 1 -72.113745 -65.887739 47.737970 42.329433 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Attributes for this product are as follows: 0 Background, 1 Unclassified (Cloud, Shadow, etc), 2 Developed Impervious, 4 Developed Impervious under Tree Canopy 5 Developed Open Space, 6 Cultivated Land, 7 Pasture/Hay, 8 Grassland, 11 Upland Tree (Forest), 12 Scrub/Shrub, 13 Palustrine Forested Wetland, 14 Palustrine Scrub/Shrub Wetland, 15 Palustrine Emergent Wetland, 16 Estuarine Forested Wetland, 17 Estuarine Scrub/Shrub Wetland, 18 Estuarine Emergent Wetland, 19 Unconsolidated Shore, 20 Bare Land, 21 Open Water, 22 Palustrine Aquatic Bed, 23 Estuarine Aquatic Bed, Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) State of Maine High Resolution Land Cover Data. Data collected 2021</SPAN></P><P><SPAN>The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. These maps are developed utilizing high resolution aerial imagery, primarily from the summer of 2021, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions.</SPAN></P><P><SPAN>C-CAP data sets are not jurisdictional or intended for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the limits of current technology, NOAA cannot assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. This is a national and regional data set that should be used only as a screening tool for very local or site-specific management decisions. Small features and changes should be verified with a higher-resolution data source.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV> NOAA C-CAP <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>USE RESTRICTIONS: This land cover data may not be used for the purpose of creating, training, improving, modifying, validating, testing, or evaluating machine learning algorithms, or otherwise leverage the product for the purposes of machine learning for a period of five years from its date of creation.</SPAN></P><P><SPAN>License: Users are granted a perpetual, non-exclusive, irrevocable, worldwide license to use these data, and to create derived and value-added products, in any manor and for any purpose with the exception of creating, training, improving, modifying, validating, testing, evaluating, or otherwise leveraging machine learning algorithms in order to explicitly create similar land cover data for a period of five years from its date of creation. After that date this limitation is removed and these data will be available under the [Creative Commons Attribution 4.0 International license (CC BY 4.0)</SPAN></P></DIV></DIV></DIV> imageryBasemapsEarthCover Landcover NOAA CCAP CCAP C-CAP NOAA C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S. Raster Dataset dataset EPSG 6.11(3.0.1) 2 1 0 266376.759175 4690248.303035 266376.759175 5287177.303035 733511.759175 5287177.303035 733511.759175 4690248.303035 499944.259175 4988712.803035 467135 1.000000 596929 1.000000 Band_1 23.000000 2.000000 8 20260331 According to the accuracy assessment performed by NOAA Office for Coastal Management staff, the overall accuracy of this product is 85.6%. There were 914 total points distributed across the study area. The accuracy of each class is as follows (Producer's, User's accuracies): Impervious (92.7%, 94.4%) Impervious under Tree Canopy (66.7%, 100%) Open Space Developed (81.3%, 93.8%) Cultivated (94.3%, 84.6%) Pasture/Hay (95.9%, 86.2%) Grassland (59.2%, 86.5%) Upland Tree (Forest) (100%, 66.7%) Shrub/Scrub (75.0%, 78.1%) Palustrine Forested Wetland (87.5%, 87.5%) Palustrine Shrub/Scrub Wetland (86.6%, 89.2%) Palustrine Emergent Wetland (84.1%, 84.1%) Estuarine Forested Wetland (N/A, N/A) Estuarine Shrub/Scrub Wetland (N/A, N/A) Estuarine Emergent Wetland (100%, 100%) Unconsolidated Shore (93.5%, 97.7%) Bare Land (75.7%, 73.7%) Water (97.1%, 90.4%) Palustrine Aquatic Bed (64.7%, 68.8%) Estuarine Aquatic Bed (88.9%, 94.1%) Overall accuracy (85.6%) Points were sampled using a stratified random sampling scheme, with a minimum target sample of 20 points per class. A few of the rarer categories did not meet this minimum threshold or were not sampled at all due to the relatively low total area of those classes. Only the Palustrine Aquatic Bed and Estuarine Aquatic Bed categories had fewer than the target 20 point minimum, though several additional categories had relatively few sample locations, including: Estuarine Emergent Wetlands, Cultivated, and Impervious Under Canopy. Estuarine Scrub/Shrub Wetland and Estuarine Forested were not samples at all. The correct land cover classification was determined through analyst interpretation of the imagery used in creating the map, as well as possible references to Google Earth in order to reference additional dates/seasons of imagery for that location. All points were interpreted by two analysts, plus a third who made a final determination when there was disagreement on the call. This analysis allowed for the use of fuzzy designations, or alternate calls to the truth category where that truth call may not have been completely obvious, or where point locations are located so they could possibly be more than one category.