Skip to main content

Person

Andrew C Ritchie

Geologist

Pacific Coastal and Marine Science Center

Email: aritchie@usgs.gov
Office Phone: 831-460-7454
Fax: 831-427-4748
ORCID: 0000-0001-5826-9983

Location
2885 Mission Street
Santa Cruz , CA 95060
US

Supervisor: Jonathan Warrick
thumbnail
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
Tags: Bathymetry and Elevation, Big Sur, CMHRP, California, Cape San Martin, All tags...
thumbnail
This portion of the data release presents a digital surface model (DSM) and hillshade of Whiskeytown Lake and the surrounding area derived from Structure from Motion (SfM) processing of aerial imagery acquired on 2018-12-02. Unlike a digital elevation model (DEM), the DSM represents the elevation of the highest object within the bounds of a cell. Vegetation, buildings and other objects have not been removed from the data. In addition, data artifacts resulting from noise and vegetation in the original imagery have not been removed. However, in unvegetated areas such as reservoir shorelines and deltas, the DSM is equivalent to a DEM because it represents the ground surface elevation. The raw imagery used to create...
thumbnail
These metadata describe bathymetric data collected during a December 2018 SWATHPlus survey of Whiskeytown Lake, California. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) during fieldwork activity number 2018-686-FA. The bathymetric data are provided as a GeoTIFF image.
thumbnail
This portion of the data release presents fish abundance data from samples collected in the Elwha River estuary, Washington, in 2006, 2007, 2013, and 2014 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We used the Puget Sound beach seining protocol (Simenstad and others, 1991) to sample fish populations in the Elwha River estuary complex. The beach seine was 38 m long x 2 m deep, with a 2 m x 2 m bag in the center of the net; mesh size was 3.18 mm, 6.35 mm, and 31.75 mm, for the bag, center panel, and wings, respectively. The seine net was deployed from bank to bank by a small skiff and then pulled on shore. The number of...
thumbnail
This portion of the data release presents terrestrial invertebrate abundance data from samples collected in emergent and shrub vegetation along the edge of the Elwha River estuary, Washington, in 2007 and 2013 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We deployed terrestrial insect fallout traps at ten locations in the east estuary, five replicates each in shrub and emergent (littoral) vegetation habitats. Clear, rectangular traps (2,400 cm2 in 2007 and 3,526 cm2 in 2013) were filled with 5 cm of filtered soapy water and deployed for 72 hours. Invertebrate counts from 2013 were standardized to the 2007 bin size to account...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.