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This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

Marlborough Fault System, South Island, New Zealand

Metadata Updated: November 12, 2020

Collaborative Research: Towards an Understanding of the Collective Behavior of Regional Fault Networks: The Marlborough Fault System, New Zealand (James F. Dolan, PI, University of Southern California). This project was a collaborative effort between PI Dolan (USC) and co-I Ed Rhodes (UCLA) and New Zealand collaborators Russ Van Dissen and Rob Langridge of GNS Science. The survey area consists of a total of 254 km of fault-parallel, predominantly ~1.2-km-wide swaths along parts of the four main right-lateral strike-slip faults that comprise the Marlborough Fault System, in the northwestern portion of New Zealand's South Island. The five fault segments surveyed include sections of the eastern and western parts of the Clarence fault, the central part of the Awatere fault, the central part of the Wairau fault, and part of the eastern (Conway) segment of the Hope fault. These lidar data facilitated detailed analysis of fault offsets along the four main MFS faults, as well as mapping of small displacements that have occurred in recent earthquakes on Marlborough faults in unprecedented detail, the geomorphic development and evolution of fluvial terraces crossing these faults, and the progressive geomorphic manifestation of off-fault deformation with increasing fault displacement. The data were analyzed by the PIs, our New Zealand collaborators, and three graduate students at USC (Robert Zinke, Alexandra Hatem, and Jessica Grenader), and one graduate student at UCLA (Chris McGuire [supervised by Co-I Ed Rhodes]); their results will form major parts of their graduate theses. The lidar data were collected by U.S. National Center for Airborne Laser Mapping (NCALM) personnel using an aircraft and flight personnel subcontracted from New Zealand Aerial Mapping. The data were collected with a combination of NCALM's Optech GEMINI sensor (operated at a laser pulse frequency of 125 kHz in multi-pulse mode, at a nominal height above ground of 1400 m) and NZAM's Optech 3100A sensor (operated at a laser pulse frequency of 70-100 kHz at various heights depending on terrain). Shot density is ≥ 12 shots/m2. The lidar data were utilized in our studies of the incremental slip-rate record of the four main Marlborough faults. The lidar data also provided a means of mapping small displacements that have occurred in recent earthquakes on Marlborough faults in unprecedented detail, the sedimentological development and geomorphic evolution of fluvial terraces crossing these faults, and the progressive geomorphic manifestation of off-fault deformation with increasing fault displacement (see Zinke et al., 2015 Geology for a discussion of this latter topic [doi:10.1130/G37065.1]).

Access & Use Information

Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

Downloads & Resources

Dates

Metadata Date July 14, 2016
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) July 14, 2016 (publication)
Frequency Of Update

Metadata Source

Harvested from OpenTopography CSW

Additional Metadata

Resource Type Dataset
Metadata Date July 14, 2016
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) July 14, 2016 (publication)
Responsible Party National Center for Airborne Laser Mapping (Originator); null (Originator)
Contact Email
Guid OT.072016.32759.1
Access Constraints
Bbox East Long 173.828435173648
Bbox North Lat -41.6312437319205
Bbox South Lat -42.5615186877067
Bbox West Long 172.490571460523
Coupled Resource
Frequency Of Update
Harvest Object Id cb269af7-6308-4a0a-b115-3e20d15e623f
Harvest Source Id 1017486a-47c7-4139-9ed4-a4d93503679a
Harvest Source Title OpenTopography CSW
Licence
Metadata Language en
Metadata Type geospatial
Progress
Spatial Data Service Type
Spatial Reference System UTM Zone 59S [EPSG: 32759]
Spatial Harvester True

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