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Point Cloud Data	Bulk Download	opentopoID: OTLAS.072016.32759.1
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Collection Overview: 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]).

Publications associated with this dataset can be found at NCALM's Data Tracking Center

Dataset Acknowledgement: Acquisition of the lidar data was funded by the U.S. National Science Foundation Tectonics Program (grant EAR-1321914 to James F. Dolan and Edward J. Rhodes, principal investigators). NCALM funding was provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program (EAR-1043051), with supplemental funding provided by NSF's Tectonics Program through grant EAR-1339015. NSF grant EAR-1321914 to Dolan and Rhodes also funded analysis of the incremental slip rate record of the main Marlborough faults and paleoseismic studies of recent earthquakes and displacements along these faults. The entirety of these data is freely licensed for unrestricted public use, unless otherwise noted. Any use of these lidar data (including value-added products) within reports, papers, and presentations must acknowledge

Dataset Citation: Marlborough Fault System, South Island, New Zealand. Distributed by OpenTopography. https://doi.org/10.5069/G9G44N75 . Accessed: 2024-12-21       Copied to Clipboard

Use License: CC BY 4.0

Dataset Keywords: Fault, New Zealand, South Island, Marlborough Fault System, Eastern Clarence, Western Clarence, Central Eastern Awatere, West Wairau, East Hope-Conway,, lidar

Survey Date: 03/13/2014 - 03/20/2014

Publication Date: 07/14/2016

Data Provider and Roles:
Collector

• National Center for Airborne Laser Mapping

Total number of points: 4,022,809,146 pts

Area: 446 km²

Point Density: 9.02 pts/m²

Classifications:

Class 0 - Never classified	1
Class 1 - Unclassified	2,511,608,951
Class 2 - Ground	1,509,922,637
Class 3 - Low Vegetation	1
Class 5 - High Vegetation	3,138
Class 7 - Low Point (low noise)	1,273,669
Class 9 - Water	6
Class 10 - Rail	12
Class 11 - Road Surface	695
Class 12 - Overlap/Reserved	1
Class 13 - Wire - Guard	1
Class 14 - Wire - Conductor	2
Class 16 - Wire-Structure Connector	1
Class 17 - Bridge Deck	2
Class 18 - High Noise	1
Class 20 - Reserved	1
Class 21 - Reserved	1
Class 24 - Reserved	21
Class 26 - Reserved	2
Class 28 - Reserved	1
Class 29 - Reserved	1
Class 30 - Reserved	1

Raster Resolution: 0.5 meter

Coordinate System:
Horizontal: UTM Zone 59S Meters [EPSG: 32759]
Vertical: NZVD2009 (WGS84) [EPSG: 3884]

Units: meter

Survey Report: Reports

LAS Validation Data Report: NZ14_Dolan.html

Tile index in shapefile format: Download

Dataset Extent in GeoJSON format:
Raster: NZ14_Dolan.geojson
Point Cloud: NZ14_Dolan.geojson

Dataset Spatial Bounds: North: -41.6312437319205°     South: -42.5615186877067°     East: 173.828435173648°     West: 172.490571460523°