Homer geohazards

Project Details

Project ID:
1627
Nickname/Abbreviation:
Homer geohazards
Parent Project:
Alaska Coastal Geohazards Program
Status:
Active
Description:
DGGS has partnered with the City of Homer for comprehensive slope and coastal bluff stability analyses. The project, consisting of two sister Cooperating Technical Partnerships (CTPs), aims to identify and increase the understanding of landslide hazard risk within and around the community, increase the effectiveness of engagement opportunities with residents, and support local efforts to reduce landslide hazard risk with the ultimate goal of making Homer more resilient to landslide and coastal erosion hazards. DGGS collected high-resolution lidar data of Homer and nearby Kachemak in 2019 to generate new, high resolution bare-earth DEMs. DGGS is using the DEMs combined with updated oblique aerial photographs and existing imagery to complete an existing landslide inventory, shallow and deep-seated landslide hazard susceptibility maps including potential landslide runout extents as well as a coastal bluff stability map that incorporates both terrestrial and oceanographic factors.
Project Date(s):
2018 - present
Primary Contact:
Nieminski, Nora M.
DGGS section:
Geologic Hazards
Project Participants:
Jacquelyn R. Overbeck
Active Related Sub-Projects:
- • Homer coastal bluff stability hazard resiliency - (2019)

RI 2022-5: Buzard, R.M., and Overbeck, J.R., 2022, Coastal bluff stability assessment for Homer, Alaska: Alaska Division of Geological & Geophysical Surveys Report of Investigation 2022-5, 22 p., 2 sheets, scale 1:50,000. https://doi.org/10.14509/30908
RDF 2021-21: Buzard, R.M., 2021, Photogrammetry-derived historical orthoimagery for Homer, Alaska from 1951, 1952, 1964, and 1985: Alaska Division of Geological & Geophysical Surveys Raw Data File 2021-21, 10 p. https://doi.org/10.14509/30824
RDF 2021-2: Salisbury, J.B., Daanen, R.P., and Herbst, A.M., 2021, Lidar-derived elevation models for Homer, Alaska: Alaska Division of Geological & Geophysical Surveys Raw Data File 2021-2, 6 p. https://doi.org/10.14509/30591