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Hawaii Kauai Survey
NCALM. PI: Taylor Perron, Massachusetts Institute of Technology (MIT). The collection area totals 200 square kilometers over portions of the Alakai Wilderness Preserve, Halelea Forest Reserve, and the Hanalei National Wildlife Refuge. The dataset covers most of the Waniha and Hanalei watersheds and the headwaters of the Olokeke watershed. The Field campaign lasted for 4 days starting on 29th June, 2009, and ending on 2nd July, 2009. Flying took place on all the four days totaling 15 hrs of flying time and 3 hours 45 minutes of laser on time.
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Kilauea Volcano, HI June 2018 Acquisition
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This survey covers portions of Hawaii Volcano National Park on the Big Island of Hawaii. This dataset was contracted by the U.S. Geological Survey (USGS) via Quantum Spatial, Inc., and acquired by GEO1 and Windward Aviation. GEO1 conducted the collection activity using a Windward Aviation Hughes 500 helicopter with a dual LiDAR scanning system that utilized two Riegl VUX-SYS scanners operated as one unit. The dataset was acquired through 11 lifts, and comprises 4 distinct Areas of Interest (AOIs). The survey area covers 105 square kilometers. Dataset obtained from the USGS Kilauea LiDAR website. Please refer to that site for additional information.
Mauna Kea Palila point count data from annual surveys 1998-2018 (ver. 2.0, January 2022)
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Point count survey data collected from 1998 through 2018 to estimate palila abundance on Mauna Kea. Point counts were conducted on 32 transects surrounding Mauna Kea volcano on Hawaii Island. Transects extended from roughly treeline through the forested area, with survey stations approximately 150 m apart. Counts were conducted for six minutes, during which the species, distance to, and detection type were recorded for all birds observed. First posted: December 6, 2018 (Version unavailable since it contains sensitive information. All non-sensitive data is contained in version 2.0).
Mauna Kea Palila point count data from annual surveys 1998-2018 (ver. 2.0, January 2022)
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Point count survey data collected from 1998 through 2018 to estimate palila abundance on Mauna Kea. Point counts were conducted on 32 transects surrounding Mauna Kea volcano on Hawaii Island. Transects extended from roughly treeline through the forested area, with survey stations approximately 150 m apart. Counts were conducted for six minutes, during which the species, distance to, and detection type were recorded for all birds observed. First posted: December 6, 2018 (Version unavailable since it contains sensitive information. All non-sensitive data is contained in version 2.0).
Hakalau Forest National Wildlife Refuge, Hawaii, Hawaii Akepa point-transect data, 2002
공공데이터포털
This data release contains the point-transect distance sampling records of Hawaii Akepa collected at Hakalau Forest National Wildlife Refuge in 2002, including survey point locations, distance to detected birds, number of detected birds, elevation, and alliance-level habitat classification. This data release consists of two tabular datasets, one that contains distances and the other that contains locations, elevation, habitat and counts (described herein).
Hawaii Volcanoes National Park Hawaii elepaio territory size 1994 and 2015-2017
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The data provide approximate size of Hawaii elepaio territories from field observation in 1994, and in 2015-2017 at the same field site along the Mauna Loa Strip section of Hawaii Volcanoes National Park.
Hawaii Volcanoes National Park Hawaii elepaio territory size 1994 and 2015-2017
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The data provide approximate size of Hawaii elepaio territories from field observation in 1994, and in 2015-2017 at the same field site along the Mauna Loa Strip section of Hawaii Volcanoes National Park.
Topobathymetric Model of Pu‘uhonua O Hōnaunau National Historical Park, 2011 to 2019 – Field Survey Source and Validation Data
공공데이터포털
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.
Topobathymetric Model of Pu‘uhonua O Hōnaunau National Historical Park, 2011 to 2019 – Field Survey Source and Validation Data
공공데이터포털
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.
Topobathymetric Model of Pu‘uhonua O Hōnaunau National Historical Park, 2011 to 2019 – Field Survey Source and Validation Data
공공데이터포털
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.
Hakalau Forest National Wildlife Refuge, Hawaii Akepa point-transect survey, 2002
공공데이터포털
This dataset contains the point-transect distance sampling records of Hawaii Akepa collected at Hakalau Forest National Wildlife Refuge in 2002, including survey point locations, distance to detected birds, number of detected birds, elevation, and alliance-level habitat classification. This data release consists of two tabular datasets, one that contains distances and the other that contains locations, elevation, habitat and counts.