[Metadata] 100 ft contours for Oahu 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.

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.

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

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 and plots showing transects of nearshore topographic and bathymetric elevations of Hawaii shorelines. Individual maps show transects of shorelines adjacent to 302 mileposts along Hawaii state routes on the islands of Hawaii, Maui, Molokai, Oahu and Kauai previously identified for their vulnerability to the effects of climate change as part of the Statewide Coastal Highways Project Report.

Mileposts are identified by Brandes et al. (2019). HDOT state routes and county street centerline datasets are acquired from HDOT (2017) and HOLIS, C&CH (2017). Elevations along the transect are referenced to local mean sea level (LMSL) and are sampled from a merged digital elevation model (DEM) of Oahu prepared by Francis et al. (2019).

Details on map datasets and their usage can be found in the 2019 State of Hawaii Statewide Coastal Highways Project Report.

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.

[Metadata] Various reserves, preserves, parks, etc. as of October 2024. Source: DLNR/DOFAW, October 2024. Reserve boundaries are generally based off of the County's tax map key (TMK) layer. Kauai County TMK 2012, Maui County TMK 2016, Honolulu and Hawaii Counties 2020. Since boundaries from other agencies are derived from different source scales, these boundaries are modified to match the TMK layer with exceptions.Note: Kaumahina State Recreation Area on Maui was digitized from USGS 7.5 minute topographic map.Modified Hakalau Forest NWR (S. Kona Sec.) 8/24; Added Ala Kahakai NHT and Modified Hawaii Volcanoes NP 7/24; Modified Malamaki FR, Keauohana FR, Puu Waawaa FR and South Kona FR 11/23; Added Puaahala WS 10/23; Addition to Haleakala NPS 7/23; Modified Honolulu Watershed FR 7/23; Added Hilo FR (Ookala Sec.) 6/23; Added Molokai FR (Puaahala Sec.) 4/23; Added Pia NAR, Mokio Preserve (Molokai Land Trust) and removed Kukaiau Preserve (Conservation Easement)5/22; Modified Mauna Loa FR 12/21; Addition of Kukaiau Preserve (The Nature Conservancy) 8/21; (Modified and renamed Helemano Wilderness Area to Ewa Forest Reserve (Helemano Sec.); Modified Upper Waiakea FR 12/20; Addition Kahoolawe Island Reserve, Helemano Wilderness Area 08/20; Update to Hakalau Wildlife Refuge, Kona Section12/19; Addition to Lihue-Koloa FR 12/19; Update to West Maui FR 10/19; Addition to Lihue-Koloa FR 8/19; Update to Honolulu FR, Waimanalo FR and Round Top FR 7/18/18; Addition of Honouliuli NM 1/30/17; Addition of Kiholo SPR 11/03/17; Updated Puu Ka Pele FR; Nounou FR; Na Pali Kona FR; Kaohe Mitigation 9/27/17; Na Pali Kona FR & Alakai WP 6/29/17; Update to Pouhala Marsh WS and Kanaha Pond WS 5/31/17; Added Kalauao FR, Update to Waimanalo FR and Mana FR 5/16/17; Update to Kawainui Marsh W.S. 4/12/17; Update to Honolulu FR and Mauna Kea FR 01/20/17; Addition of Kure WS10/24/16. Update to Island of Oahu Waiahole FR and Kaneohe FR 9/30/16; Molokai FR and Kipahulu FR 7/7/16; Island of Hawaii Kohala FR, Hamakua FR, Mauna Kea FR, Honualua FR, Malama-Ki FR and Puu O Umi NAR 4/15/16; Forest Reserves (Kauai, Oahu, and Hawaii); Natural Area Reservess (Hawaii and Maui); National Wildlife Refuges (Statewide); National Parks (Hawaii and Maui); The Nature Conservancy (Hawaii and Maui). Additional updates to: Nanakuli F.R., Lualualei F.R., Honouliuli F.R. 2/18/16; Maui Motocross Track 2/8/16; Honuaula F.R., Kohala F.R. (Waimanu Sec.),Kaohe Mitigation & Puu Mali Mitigation1/28/16; Kahua Coop GMA 12/16/15; Waimanalo Forest Reserve 10/2/15; Kuia NAR 9/22 /15; removed Ookala Coop GMA 12/16/15.For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/reserves_summary.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.

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.

The gridded Surface Elevation product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired from March 2009 to May 2018. Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded. Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density which provides high-resolution measurements of elevation while it still contains enough point measurements for robust statistical calculations.

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 map shows coastal flooding around Honolulu, Hawaii due to 6 feet (1.829 m) of sea level rise. This scenario was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area above zero elevation for the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge was used to represent sea level for the purposes of this study. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.