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This document contains lidar-derived elevation data for Deadhorse, Northern Alaska, collected in July 2021. The data includes a classified point cloud, digital surface model, digital terrain model, and intensity model. The survey was conducted using aerial lidar technology and ground control data. The document provides information on the mission plan, weather conditions, data processing, and accuracy assessments. The data is available for download on the Alaska Division of Geological & Geophysical Surveys website. The survey area is located on the traditional homelands of the Iñupiat peoples. The document includes coordinates and elevation data for various ground control points and non-vegetated check points, as well as average elevation differences, minimum and maximum elevation differences, average magnitude error, root mean square error, and standard deviation. There is also a separate section for vegetated checkpoints. This data can be used for research or analysis purposes. [Extracted from the article]

The Alaska Division of Geological & Geophysical Surveys recently conducted an aerial lidar survey in Deadhorse, Northern Alaska, to collect snow surface elevation data. The survey utilized a Riegl VUX1-LR laser scanner and a helicopter, and the resulting data, including classified points, DSM and DTM, intensity image, and metadata, are available for download on the DGGS website. The accuracy of the data was assessed through ground control points and checkpoints, with a vertical accuracy of 5.7 cm. The document acknowledges the traditional homelands of the Iñupiat peoples and provides references and appendices for further information. [Extracted from the article]

Landslides are geologic hazards that threaten human lives, property, and infrastructure. Effective landslide threat mitigation requires identifying, inventorying, and studying landslides; developing a detailed landslide inventory map is the beginning of this process. Here we present the first landslide inventory map of parts of the Fairbanks North Star Borough (FNSB), Alaska, along with supporting data and a qualitative analysis of the results. This research was funded by the U.S. Geological Survey (USGS) EDMAP program, which funds universities to train the next generation of geologic mappers. The map and geodatabase were developed using lidar-derived elevation data and satellite imagery, and supplemented with data from targeted fieldwork, which included field verification of landslides and a detailed field survey and series of laboratory soil tests on the large, informally named Tanana 440 landslide. We identified 1,679 landslides within the FNSB region, with 681 mapped within the focused EDMAP study area. These landslides occurred in bedrock and surficial loess deposits and vary widely in age, morphology, and material type. Most are prehistoric, but we did observe some historic and active landslides. Potential landslide triggers may include thawing permafrost, rain events, seismic events, and river erosion. Our goals with this work are to increase awareness of landslides as a potential geohazard and to aid state and local agencies and the general public in making informed land management decisions. [ABSTRACT FROM AUTHOR]

The State of Alaska Division of Geological & Geophysical Surveys (DGGS) produced airborne lidar-derived elevation data for the Pilgrim Hot Springs area, western Alaska. Both aerial lidar and ground control data were collected by DGGS. This data collection is being released as a Raw Data File with an open end-user license. These data were produced in support of active fault detection and geothermal hydrology research in the area. [ABSTRACT FROM AUTHOR]

The DTM is a single-band, 32-bit float GeoTIFF file, with a ground sample distance of 1 meter. HIGH-RESOLUTION LIDAR DA T A FOR HAINES, SOUTHCENTRAL ALASKA, DECEMBER 8-12, 2020 Ronald P. Daanen 1, Andrew M. Herbst 1, Katreen Wikstrom Jones 1, and Gabriel J. Wolken 1 INTRODUCTION The Alaska Division of Geological & Geophysical Surveys (DGGS) used aerial lidar to produce a digital terrain model (DTM), surface model (DSM), and intensity image for an area in and around the community of Haines, Alaska, as part of emergency operations in response to the December 2, 2020, landslide that claimed the lives of two residents. The intensity image is a single-band, 32-bit float GeoTIFF file with a ground sample distance of 1 meter. [Extracted from the article]

IMU and GNSS data were processed in Inertial Explorer and used to integrate flightline information with the point cloud in Spatial Explorer software. Ronald P. Daanen 1, Gabriel J. Wolken 1, Katreen Wikstrom Jones 1, and Andrew M. Herbst 1 INTRODUCTION The Alaska Division of Geological & Geophysical Surveys (DGGS) used aerial lidar to produce a classified point cloud and high resolution digital terrain model (DTM), digital surface model (DSM), and intensity model of the Barry Arm landslide, northwest Prince William Sound, Alaska, during near snow-free ground conditions on June 26, 2020. [Extracted from the article]

LIDAR-DERIVED ELEV A TION MODELS FOR HOMER, ALASKA J. Barrett Salisbury 1, Ronald Daanen 1, and Andrew Herbst 1 INTRODUCTION The Alaska Division of Geological & Geophysical Surveys (DGGS) used lidar to produce digital terrain models (DTM), a digital surface model (DSM), and an intensity model for Homer, Alaska. Detailed bare earth elevation data for Homer were collected and processed for use in a landslide hazard resiliency project for the City of Homer. We coupled in-flight IMU and GNSS data in Inertial Explorer™ to produce flight trajectory data and coupled the trajectory data with the raw point cloud in Spatial Explorer™. [Extracted from the article]

LIDAR-DERIVED ELEVA TION DA TA FOR NORTHERN BARRY ARM, SOUTHCENTRAL ALASKA, JUNE 26, 2020 Ronald P. Daanen 1, Gabriel J. Wolken 1, Katreen Wikstrom Jones 1, and Andrew M. Herbst 1 INTRODUCTION The Alaska Division of Geological & Geophysical Surveys (DGGS) used aerial lidar to produce a classified point cloud, digital terrain model (DTM), surface model (DSM), and intensity model of land areas in northern Barry Arm, northwest Prince William Sound, Alaska, during near snow-free ground conditions on June 26, 2020. The point data were calibrated at an incrementally precise scale of sensor Raw Data File 2021-1 3 movement and behavior, incorporating sensor velocity, roll, pitch, and yaw fluctuations throughout the survey. The total area surveyed was approximately 40 km 2. 1 Alaska Division of Geological & Geophysical Surveys, 3354 College Road, Fairbanks, Alaska 99709 Raw Data File 2021-1 2 Weather Conditions and Flight Times The aerial survey was flown on June 26, 2020, with a Cessna 180. [Extracted from the article]

The State of Alaska Division of Geological & Geophysical Surveys (DGGS) used lidar to produce a digital terrain model (DTM) and digital surface model (DSM) of Turnagain Pass, southcentral Alaska, during snow-free ground conditions. The lidar and Global Navigation Satellite System (GNSS) data were collected on September 2, 2018, and processed using Terrasolid. This data collection is being released as a Raw Data File with an open end-user license. All files can be downloaded from the DGGS website at https://doi.org/10.14509/30567. [ABSTRACT FROM AUTHOR]

The State of Alaska Division of Geological & Geophysical Surveys (DGGS) produced airborne lidar-derived elevation data for Sitka, Alaska. This data collection is being released as a Raw Data File with an open end-user license. All files can be downloaded, free of charge, from the DGGS. [ABSTRACT FROM AUTHOR]

The State of Alaska Division of Geological & Geophysical Surveys (DGGS) used lidar to produce a digital terrain model (DTM) and digital surface model (DSM) over ridgelines along the Chilkat River just north of Haines, Alaska. The lidar and Global Navigation Satellite System (GNSS) data were collected on November 15-16, 2018, and processed using Terrasolid. This data collection is being released as a Raw Data File with an open end-user license. All files can be downloaded free of charge from the DGGS website. [ABSTRACT FROM AUTHOR]