Spatial coverage index compiled by East View Geospatial of set "USGS 1:24,000 Scale Topographic Maps (HTMC) - Hawaii". Source data from USGS (publisher). Type: Topographic. Scale: 1:24,000. Region: North America.

[Metadata] 100 ft contours for Maui 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) 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

Urban contours at 5 Ft intervals which were scanned contours from a 1969 photogrammetric survey done by a local consulting company, R.M. Towill Corporation.

Scanned Contours (10, 20 and 40 Feet Intervals) from the USGS Topographic Map Series

The color shaded relief images were developed to portray the terrain of the United States. They are intended for visual purposes only. The original National Elevation Dataset (NED) data must be used for conducting analysis and determining elevation values.

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.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Contour Map Of Pahoa South, Hawaii

Topographic Map Of Hawaii County, Hawaii

This data set contains vector polygons representing the boundaries of the U.S. Geological Survey 1:24,000 topographic maps and other map and digital data boundaries used in the creation of the Environmental Sensitivity Index (ESI) for Hawaii. This data set comprises a portion of the ESI data for Hawaii. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

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Version 10.0 (Alaska, Hawaii and Puerto Rico added) of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. The compilation of 725,690 point and polygon mine symbols from approximately 106,350 maps across 50 states, the Commonwealth of Puerto Rico (PR) and the District of Columbia (DC) has been completed: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Connecticut (CT), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Idaho (ID), Illinois (IL), Indiana (IN), Iowa (IA), Kansas (KS), Kentucky (KY), Louisiana (LA), Maine (ME), Maryland (MD), Massachusetts (MA), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Montana (MT), Nebraska (NE), Nevada (NV), New Hampshire (NH), New Jersey (NJ), New Mexico (NM), New York (NY), North Carolina (NC), North Dakota (ND), Ohio (OH), Oklahoma (OK), Oregon (OR), Pennsylvania (PA), Rhode Island (RI), South Carolina (SC), South Dakota (SD), Tennessee (TN), Texas (TX), Utah (UT), Vermont (VT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the U.S., but an approximate timeline of when these activities occurred. These data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. These data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.Datasets were developed by the U.S. Geological Survey Geology, Geophysics, and Geochemistry Science Center (GGGSC). Compilation work was completed by USGS National Association of Geoscience Teachers (NAGT) interns: Emma L. Boardman-Larson, Grayce M. Gibbs, William R. Gnesda, Montana E. Hauke, Jacob D. Melendez, Amanda L. Ringer, and Alex J. Schwarz; USGS student contractors: Margaret B. Hammond, Germán Schmeda, Patrick C. Scott, Tyler Reyes, Morgan Mullins, Thomas Carroll, Margaret Brantley, and Logan Barrett; and by USGS personnel Virgil S. Alfred, Damon Bickerstaff, E.G. Boyce, Madelyn E. Eysel, Stuart A. Giles, Autumn L. Helfrich, Alan A. Hurlbert, Cheryl L. Novakovich, Sophia J. Pinter, and Andrew F. Smith.USMIN project website: https://www.usgs.gov/USMIN

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'.

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes surrounding Maui, Hawaii. Changes in seafloor elevation were calculated using historical bathymetric point data from the 1960s (see Yates and others, 2017a) and light detection and ranging (lidar)-derived data acquired in 1999 (NOAA, 2013) using methods outlined in Yate and others (2017b). An elevation change analysis between the 1960s and 1999 data was performed to quantify and map historical impacts to seafloor elevation and to determine elevation-change statistics for 12 habitat types found surrounding Maui. Annual elevation-change rates were calculated for each elevation-change data point. Seafloor elevation-change surrounding Maui was projected 25, 50, 75 and 100 years from 1999 using these historical annual rates of elevation change. Water depth was projected 25, 50, 75 and 100 years from 1999 using historical rates of annual elevation change ...

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.