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

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

[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.

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[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.

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 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.

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.

[Metadata] Tropical storms, hurricanes, and tsunamis create waves that flood low-lying coastal areas. The National Flood Insurance Program (NFIP) produces flood insurance rate maps (FIRMs) that depict flood risk zones referred to as Special Flood Hazard Areas (SFHA) based modeling 1%-annual-chance flood event also referred to as a 100-year flood. The purpose of the FIRM is twofold: (1) to provide the basis for application of regulatory standards and (2) to provide the basis for insurance rating.SFHAs identify areas at risk from infrequent but severe storm-induced wave events and riverine flood events that are based upon historical record. By law (44 Code of Federal Regulations [CFR] 60.3), FEMA can only map flood risk that will be utilized for land use regulation or insurance rating based on historical data, therefore, future conditions with sea level rise and other impacts of climate change are not considered in FIRMs. It is important to note that FEMA can produce Flood Insurance Rate Maps that include future condition floodplains, but these would be considered “awareness” zones and not to be used for regulatory of insurance rating purposes.The State of Hawai‘i 2018 Hazard Mitigation Plan incorporated the results of modeling and an assessment of vulnerability to coastal flooding from storm-induced wave events with sea level rise (Tetra Tech Inc., 2018). The 1% annual-chance-coastal flood zone with sea level rise (1%CFZ) was modeled to estimate coastal flood extents and wave heights for wave-generating events with sea level rise. Modeling was conducted by Sobis Inc. under State of Hawaiʻi Department of Land and Natural Resources Contract No: 64064. The 1%CFZ with 3.2 feet of sea level rise was utilized to assess vulnerability to coastal event-based flooding in mid to - late century.The 1%CFZ with sea level rise would greatly expand the impacts from a 100-year flood event meaning that more coastal land area will be exposed to damaging waves. For example, over 120 critical infrastructure facilities in the City and County of Honolulu, including water, waste, and wastewater systems and communication and energy facilities would be impacted in the 1%CFZ with 3.2 feet of sea level rise (Tetra Tech Inc., 2018). This is double the number of facilities in the SFHA which includes the impacts of riverine flooding.A simplified version of the Wave Height Analysis for Flood Insurance Studies (WHAFIS) extension (FEMA, 2019b) included in Hazus-MH, was used to create the 1% annual chance coastal floodplain. Hazus is a nationally applicable standardized methodology that contains models for estimating potential losses from earthquakes, floods, tsunamis, and hurricanes (FEMA, 2019a). The current 1%-annual-chance stillwater elevations were collected using the most current flood insurance studies (FIS) for each island conducted by FEMA (FEMA, 2004, 2010, 2014, 2015). The FIS calculates the 1%-annual-chance stillwater elevation, wave setup, and wave run-up (called maximum wave crest) at regularly-spaced transects around the islands based on historical data. Modeling for the 1%CFZ used the NOAA 3-meter digital elevation model (DEM) which incorporates LiDAR data sets collected between 2003 and 2007 from NOAA, FEMA, the State of Hawaiʻi Emergency Management Agency, and the USACE (NOAA National Centers for Environmental Information, 2017).Before Hazus was run for future conditions, it was run for the current conditions and compared to the FEMA regulatory floodplain to determine model accuracy. This also helped determine the stillwater elevation for the large gaps between some transects in the FIS. Hazus was run at 0.5-foot stillwater level intervals and the results were compared to the existing Flood Insurance Rate Map (FIRM). The interval of 0.5-feet was chosen as a small enough step to result in a near approximation of the FIRM while not being too impractically narrow to require the testing of dozens of input elevations. The elevation which matched up best was used as the current base flood elevation.Key steps in modeling the projected 1%CFZ with sea level rise include: (1) generating a contiguous (no gaps along the shoreline) and present-day 1%-annual-chance stillwater elevation based on the most recent FIS, (2) elevating the present-day 1%-annual-chance stillwater elevation by adding projected sea level rise heights, and (3) modeling the projected 1%-annual-chance coastal flood with sea level rise in HAZUS using the 1%-annual-chance wave setup and run-up from the FIS. The 1%CFZ extent and depth was generated using the HAZUS 3.2 coastal flood risk assessment model, 3-meter DEM, the FIS for each island, and the IPCC AR5 upper sea level projection for RCP 8.5 scenario for 0.6 feet, 1.0 feet, 2.0 feet, and 3.2 feet of sea level rise above MHHW (IPCC, 2014). The HAZUS output includes the estimated spatial extent of coastal flooding as well as an estimated flood depth map grid for the four sea level rise projections.Using the current floodplain generated with Hazus, the projected 1%-annual-chance stillwater elevation was generated using the four sea level rise projections. This stillwater elevation with sea level rise was used as a basis for modeling. The projected 1%-annual coastal flood with sea level rise was modeled in Hazus using the current 1%-annual-chance wave setup and run-up from the FIS and the projected 1%-annual-chance stillwater elevation with sea level rise. Statewide GIS Program staff extracted individual island layers for ease of downloading. A statewide layer is also available as a REST service, and is available for download from the Statewide GIS geoportal at https://geoportal.hawaii.gov/, or at the Program's legacy download site at https://planning.hawaii.gov/gis/download-gis-data-expanded/#009. For additional information, please refer to summary metadata at https://files.hawaii.gov/dbedt/op/gis/data/coastal_flood_zones_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.

[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.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (SLR) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr This metadata record describes the Honolulu Weather Forecast Office (HFO WFO) digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications for the Honolulu WFO, which includes the following islands in Hawaii: Kauai, Oahu, Molokai, Maui, Lanai, and Hawaii. The DEM is derived from multiple sources. 1. 2006 Hawaii FEMA Lidar - acquired by FEMA along south shores of islands 2. 2007 USACE Pacific Islands Lidar: Hawaiian Islands - acquired by USACE and Hawaii State Civil Defense along north and windward facing shores of islands Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The final DEM is hydro flattened such that water elevations are less than or equal to -0.5 meters. The DEM is referenced vertically to the Local Mean Sea Level (LMSL) tidal datum with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is 3 meters.

[Metadata]100 ft contours for Kahoolawe 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.

[Metadata] Elevation range polygons created using elevation contours generated from the USGS 1:24,000 and 1:250,000 DEMs.Source: USGSApr. 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/elrange.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.

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.

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This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides).Data produced in 2014 by NOAA Office for Coastal Management (OCM). 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 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.This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides).Data produced in 2014 by NOAA Office for Coastal Management (OCM). 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 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.This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides).Data produced in 2014 by NOAA Office for Coastal Management (OCM). 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 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.

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.