A 10-meter resolution land surface digital elevation model (DEM) grayscale hillshade for Big Island in Hawaii derived from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For the related dataset containing numeric elevation values for this image layer, see http://pacioos.org/metadata/usgs_dem_10m_bigisland.html

A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. Includes ship-borne multibeam sonar surveys as well as the Smith and Sandwell measured and estimated global seafloor topography. Land topography from USGS DEMs are included in the grid as well.

[Metadata] 100 ft contours for Kauai Island.Source: USGS 1:24,000 Digital Elevation Models (DEM).Apr. 2024: Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of the 2016 GIS database conversion and were no longer needed.For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/cntrs100.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

A 10-meter resolution land surface digital elevation model (DEM) grayscale hillshade for the island of Oahu in Hawaii derived from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For the related dataset containing numeric elevation values for this image layer, see http://pacioos.org/metadata/usgs_dem_10m_oahu.html

The 100-meter resolution color-sliced elevation data were developed to portray the terrain of the United States at 1:1,000,000 scale. They are intended primarily for visual purposes. The original NED data should be used for conducting analysis and determining the most accurate elevation values. No responsibility is assumed by the National Atlas of the United States in the use of these data.

A 10-meter resolution land surface digital elevation model (DEM) for the island of Maui in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_maui_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=These data are provided by USGS and subsequently distributed via THREDDS Data Server (TDS) and ERDDAP by PacIOOS. Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2023-01-20 drawLandMask=off Easternmost_Easting=-155.9790147408373 geospatial_bounds=POLYGON ((20.574368 -156.697211, 21.031408 -156.697211, 21.031408 -155.978966, 20.574368 -155.978966, 20.574368 -156.697211)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=21.031363703651188 geospatial_lat_min=20.574418740849925 geospatial_lat_resolution=9.25926976294352E-5 geospatial_lat_units=degrees_north geospatial_lon_max=-155.9790147408373 geospatial_lon_min=-156.6971637036512 geospatial_lon_resolution=9.259269762943516E-5 geospatial_lon_units=degrees_east history=2015-05-11T00:00:00Z PacIOOS obtained ArcInfo Binary Grids from The National Map Viewer of USGS then mosaicked and converted to NetCDF format and EPSG:4326 spatial reference system. id=usgs_dem_10m_maui infoUrl=https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map institution=U.S. Geological Survey (USGS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=elevation keywords_vocabulary=GCMD Science Keywords locations=Continent > North America > United States Of America > Hawaii, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/usgs_dem_10m_maui.html naming_authority=org.pacioos Northernmost_Northing=21.031363703651188 platform=Models/Analyses > > DEM > Digital Elevation Model platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://www.pacioos.hawaii.edu/metadata/hi_usgs_maui_dem10m_hillshade.html; https://www.pacioos.hawaii.edu/metadata/hi_usgs_all_dem10m_hillshade.html source=USGS 1/3 arc-second DEM quadrangles sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/usgs_dem_10m_maui Southernmost_Northing=20.574418740849925 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_duration=P0D time_coverage_resolution=P0D Westernmost_Easting=-156.6971637036512

Elevation surface for portions of the Hawaiian islands based upon lidar data collected by State of Hawaii and its data partners from 1999-2017. Elevation values are in meters.

Contour Map Of Pahoa South, Hawaii

A 10-meter resolution land surface digital elevation model (DEM) for the island of Molokai in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_molo_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=These data are provided by USGS and subsequently distributed via THREDDS Data Server (TDS) and ERDDAP by PacIOOS. Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2023-01-20 drawLandMask=off Easternmost_Easting=-156.70987086760655 geospatial_bounds=POLYGON ((21.046021 -157.310857, 21.224173 -157.310857, 21.224173 -156.709825, 21.046021 -156.709825, 21.046021 -157.310857)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=21.224127027458906 geospatial_lat_min=21.046067348013413 geospatial_lat_resolution=9.259473710114038E-5 geospatial_lat_units=degrees_north geospatial_lon_max=-156.70987086760655 geospatial_lon_min=-157.31081071139295 geospatial_lon_resolution=9.259473710113901E-5 geospatial_lon_units=degrees_east history=2015-05-11T00:00:00Z PacIOOS obtained ArcInfo Binary Grids from The National Map Viewer of USGS then mosaicked and converted to NetCDF format and EPSG:4326 spatial reference system. id=usgs_dem_10m_molokai infoUrl=https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map institution=U.S. Geological Survey (USGS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=elevation keywords_vocabulary=GCMD Science Keywords locations=Continent > North America > United States Of America > Hawaii, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Molokai locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/usgs_dem_10m_molokai.html naming_authority=org.pacioos Northernmost_Northing=21.224127027458906 platform=Models/Analyses > > DEM > Digital Elevation Model platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://www.pacioos.hawaii.edu/metadata/hi_usgs_molo_dem10m_hillshade.html; https://www.pacioos.hawaii.edu/metadata/hi_usgs_all_dem10m_hillshade.html source=USGS 1/3 arc-second DEM quadrangles sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/usgs_dem_10m_molokai Southernmost_Northing=21.046067348013413 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_duration=P0D time_coverage_resolution=P0D Westernmost_Easting=-157.31081071139295

A 10-meter resolution land surface digital elevation model (DEM) for the island of Kahoolawe in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_kaho_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=These data are provided by USGS and subsequently distributed via THREDDS Data Server (TDS) and ERDDAP by PacIOOS. Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2023-01-20 drawLandMask=off Easternmost_Easting=-156.49069436182018 geospatial_bounds=POLYGON ((20.496944 -156.704168, 20.637316 -156.704168, 20.637316 -156.490648, 20.496944 -156.490648, 20.496944 -156.704168)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=20.637269737328893 geospatial_lat_min=20.49699071402145 geospatial_lat_resolution=9.259341472438461E-5 geospatial_lat_units=degrees_north geospatial_lon_max=-156.49069436182018 geospatial_lon_min=-156.7041221827599 geospatial_lon_resolution=9.259341472439393E-5 geospatial_lon_units=degrees_east history=2015-05-11T00:00:00Z PacIOOS obtained ArcInfo Binary Grids from The National Map Viewer of USGS then mosaicked and converted to NetCDF format and EPSG:4326 spatial reference system. id=usgs_dem_10m_kahoolawe infoUrl=https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map institution=U.S. Geological Survey (USGS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=elevation keywords_vocabulary=GCMD Science Keywords locations=Continent > North America > United States Of America > Hawaii, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Kahoolawe locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/usgs_dem_10m_kahoolawe.html naming_authority=org.pacioos Northernmost_Northing=20.637269737328893 platform=Models/Analyses > > DEM > Digital Elevation Model platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://www.pacioos.hawaii.edu/metadata/hi_usgs_kaho_dem10m_hillshade.html; https://www.pacioos.hawaii.edu/metadata/hi_usgs_all_dem10m_hillshade.html source=USGS 1/3 arc-second DEM quadrangles sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/usgs_dem_10m_kahoolawe Southernmost_Northing=20.49699071402145 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_duration=P0D time_coverage_resolution=P0D Westernmost_Easting=-156.7041221827599

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

10-foot elevation contours for the extent of the state of Indiana, created from downloading, projecting and combining several datasets from USGS based on 7.5-minute quadrangle boundaries. These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation. Description from the original source metadata: These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.Source files downloaded from The National Map on 11/18/2019:https://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Muncie_W_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Danville_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Vincennes_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Louisville_W_KY_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Cincinnati_W_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Indianapolis_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Fort_Wayne_W_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Chicago_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Indianapolis_W_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Danville_W_IL_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Vincennes_W_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Chicago_W_IL_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Cincinnati_E_OH_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Muncie_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Louisville_E_KY_1X1_GDB.zip https://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Fort_Wayne_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Evansville_E_IN_1X1_GDB.ziphttps://prd-tnm.s3.amazonaws.com/StagedProducts/Contours/GDB/ELEV_Evansville_W_IN_1X1_GDB.zip

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii. Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS...

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

This database consists of a series of maps that depict the spatial distribution of nearshore topo-bathymetric transects along the peak wave directions and accompanying profiles that present elevation and depth values along these transects on the islands of Maui and Molokai.

Transects are identified by Francis et al. (2024a). State of Hawaii Department of Transportation (HDOT) state routes and Maui County Roads are acquired from HDOT (2023) and MC (2022). Shoreline datasets are provided by NGS (2017). Elevation and depth values along the transects are referenced to local mean sea level (LMSL) and are sampled from a digital elevation model (DEM) prepared by Francis et al. (2019).

Details of the data sources and methods can be found in the 'Maps and Profiles of Nearshore Topo-bathymetric Transects along Peak Wave Directions-README.docx' .

References cited in this description can be found in the 'Description References-README.docx'.