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

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...

U.S. Geological Survey (USGS) and University of Hawaii - Mānoa (UH) scientists conducted field data collection efforts from August 19th - 27th, 2019 at Pu‘uhonua O Hōnaunau National Historical Park on the Big Island of Hawaii. The data collection efforts utilized a combination of remote sensing technologies to map the topography, critical infrastructure, and most importantly, the cultural assets of Pu‘uhonua O Hōnaunau National Historical Park. The USGS and UH team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data, along with utilizing Uncrewed Aerial Systems (UAS) to collect imagery and UAS lidar to map these features. This data release contains shapefiles of the processed GNSS and total station data, point clouds in the form of lidar data exchange (LAS) files from the ground and UAS lidar data and aerial imagery produced via Structure from Motion (SfM). See the List of Files under the Native Data Set Environment section for file names and sizes. The processed data contained in this release served as source and validation data for a spatially integrated topobathymetric digital elevation model (TBDEM) for Pu‘uhonua O Hōnaunau National Historical Park.

This map shows the extent of flooding of low-lying inland coastal areas around Hawaii Island (Big Island) in the State of Hawaii due to 2 feet (0.610 m) 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 Hawaii Island (Big Island) in the State of Hawaii due to 2 feet (0.610 m) 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 Hawaii Island (Big Island) in the State of Hawaii due to 2 feet (0.610 m) 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 dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

[Metadata] Polygons showing depth, in meters, in intervals of 1,000 meters around the main Hawaiian Islands.Source: ESRI Hawaii Office, August 2009.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/Ocean_Depth.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.