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 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.

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

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.

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.

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 map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes administrative boundaries, cities, water features, physiographic features, parks, landmarks, highways, roads, railways, and airports overlaid on land cover and shaded relief imagery for added context. The map provides coverage for the world down to a scale of ~1:72k. Coverage is provided down to ~1:4k for the following areas: Australia and New Zealand; India; Europe; Canada; Mexico; the continental United States and Hawaii; South America and Central America; Africa; and most of the Middle East. Coverage down to ~1:1k and ~1:2k is available in select urban areas. This basemap was compiled from a variety of best available sources from several data providers, including the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA), U.S. National Park Service (NPS), Food and Agriculture Organization of the United Nations (FAO), Department of Natural Resources Canada (NRCAN), GeoBase, Agriculture and Agri-Food Canada, DeLorme, HERE, Esri, OpenStreetMap contributors, and the GIS User Community. For more information on this map, including the terms of use, visit us online.

Topographic Map Of Hawaii County, Hawaii

Dosya Dosya geçmişi Dosya kullanımı Küresel dosya kullanımıBu SVG dosyasının PNG önizlemesinin boyutu 728 600 piksel Diğ

molokai_blanko_1922

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.

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'.

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

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.

The Color Landform Atlas of the United States, Version 2 may be accessed on the World Wide Web at: 'http://fermi.jhuapl.edu/states/states.html'

The following information was abstracted from: 'http://fermi.jhuapl.edu/states/about.html'. Please visit this page for additional information.

Currently the following maps are available for each state (except Alaska and Hawaii, they are coming sometime):

 A topographic map optimized to show the
 landforms. The same color shading is used
 across the country.

 A map showing counties in a state. The
 background topography has been somewhat
 suppressed to allow the county boundaries to
 show well.

 Satellite images of the state. These have been
 obtained here directly from the NOAA weather
 satellites and use the AVHRR image data.

 An 1895 map of each state. These are from an old
 Rand McNally Atlas of the World. Not yet all
 available, still scanning

 A PostScript map of counties in the state.
 These are intended for download and printing on a
 PostScript printer.

The first two maps all have the same maximum image length (900 pixels) so the actually scale varies from state to state. Long narrow states also have more detailed subsections available. More maps will be added later.

The elevation key is intended for the topographic maps. The county maps use the same colors but with less contrast. It may be convenient to start another browser window and view the elevation key image at the same time as the map of interest.

The same data and coloring is used for the state maps as for the previous JHU/APL Digital Relief Map of the U.S. which covers the U.S. at a uniform scale in 60 GIF images.

Even though the same color scheme is used as for earlier maps a new coloring algorithm is in use. The coloring for some maps is improved, for others it is not as good. The old coloring algorithm used a median cut technique which did not handle small areas of elevation extremes well. An example problem area is Mt. Washington in New Hampshire, it was miscolored on the previous maps. The new algorithm does a better overall job but has occasional problems along the coast.

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.

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.