My research focuses on the intersection of rivers and the sea. Topics include the movement of sediment within and from coastal watersheds, and how sediment can alter coastal landscapes and habitats. Recently these subjects have been addressed in my work on the Elwha River, Washington, where the largest dam removal project in U.S. history was completed in 2014.
In The News
2017, Los Angeles Times article, “Highway 1 was buried under a massive landslide. Months later, engineers battle Mother Nature to fix it”
2016, The Department of Interior and Lower Elwha Klallam Tribe, International RiverPrize Finalist
2015, New York Times article, “When Dams Come Down, Salmon and Sand Can Prosper”
2014, National Geographic news article, “World’s Largest Dam Removal Unleashes U.S. River After Century of Electric Production”
2013, Book, “Elwha: A River Reborn”
2012, Front-page Seattle Times article, “Dam gone, nature rebuilds Elwha River beach”
2009, Science Daily article, “Sediment Yield From The Tectonically Active Semiarid Western Transverse Ranges Of California”
2006, Environmental Science & Technology news article, “California’s Shifting Sands”
Professional Experience
Research Geologist, GS-15, 2016-present, USGS Pacific Coastal and Marine Science Center, Santa Cruz, California
Research Geologist, GS-14, 2008-2016, USGS Pacific Coastal and Marine Science Center, Santa Cruz, California
Research Geologist, GS-13, 2004-2008, USGS Pacific Coastal and Marine Science Center, Santa Cruz, California
Mendenhall Postdoctoral Fellow, GS-12, 2002-2004, USGS Coastal and Marine Geology Program, Menlo Park, California
Education and Certifications
Ph.D., 2002, University of California, Santa Barbara
M.Sc., 1995, University Wisconsin-Madison
B.Sc., 1993, California Polytechnic State University, San Luis Obispo
Science and Products
Filter Total Items: 15
Remote Sensing Coastal Change
We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
Coastal Climate Impacts
The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...
Using Video Imagery to Study Coastal Change: Santa Cruz Beaches
Two video cameras atop the Dream Inn hotel in Santa Cruz, California, overlook the coast in northern Monterey Bay. One camera looks eastward over Santa Cruz Main Beach and boardwalk, while the other looks southward over Cowells Beach.
Climate impacts on Monterey Bay area beaches
For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.
Using Video Imagery to Study Coastal Change: Sunset State Beach
Two video cameras overlook the coast at Sunset State Beach in Watsonville, California. Camera 1 looks northwest while Camera 2 looks north. The cameras are part of the Remote Sensing Coastal Change project.
DUNEX Aerial Imagery of the Outer Banks
The During Nearshore Event Experiment (DUNEX) project is a large collaborative scientific study focusing on understanding the consequences of coastal storms on the morphology of coastal ecosystems. By flying large sections of the coast and collecting still images using structure from motion (SfM) techniques, we hope to contribute high resolution (20cm) elevation maps for time series comparisons...
USGS DUNEX Operations on the Outer Banks
DUring Nearshore Event eXperiment (DUNEX) is a multi-agency, academic, and non-governmental organization (NGO) collaborative community experiment designed to study nearshore coastal processes during storm events. The experiment began in 2019 and is scheduled for completion in the fall of 2021. USGS participation in DUNEX will contribute new measurements and models that will increase our...
California Sand Resource Assessment Project
The USGS is working in partnership with the Bureau of Ocean Energy Management (BOEM) and the State of California Ocean Protection Council (OPC) to evaluate sand and gravel resources in Federal and State waters for potential use in future beach nourishment projects. Prior to the leasing and development of outer continental shelf (OCS) sand resources for use in beach restoration or coastal...
The Mud Creek Landslide May 20 2017
On May 20, 2017, the steep slopes at Mud Creek on California’s Big Sur coast, about 140 miles south of San Francisco, suffered a catastrophic collapse. USGS scientists from the Pacific Coastal and Marine Science Center and the Geology, Minerals, Energy, and Geophysics Science Center continue to monitor this section of the coastline, in collaboration with the California Department of Transportation...
USGS science supporting the Elwha River Restoration Project
The Elwha River Restoration Project has reconnected the water, salmon, and sediment of a pristine river and coast of the Olympic Peninsula of Washington.
Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks
Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep neural networks are capable of learning many levels of abstraction, an...
Exploring the USGS Science Data Life Cycle in the Cloud
Executive Summary Traditionally in the USGS, data is processed and analyzed on local researcher computers, then moved to centralized, remote computers for preservation and publishing (ScienceBase, Pubs Warehouse). This approach requires each researcher to have the necessary hardware and software for processing and analysis, and also to bring all external data required for the workflow over the int
Science and Products
- Science
Filter Total Items: 15
Remote Sensing Coastal Change
We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.Coastal Climate Impacts
The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...Using Video Imagery to Study Coastal Change: Santa Cruz Beaches
Two video cameras atop the Dream Inn hotel in Santa Cruz, California, overlook the coast in northern Monterey Bay. One camera looks eastward over Santa Cruz Main Beach and boardwalk, while the other looks southward over Cowells Beach.Climate impacts on Monterey Bay area beaches
For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.Using Video Imagery to Study Coastal Change: Sunset State Beach
Two video cameras overlook the coast at Sunset State Beach in Watsonville, California. Camera 1 looks northwest while Camera 2 looks north. The cameras are part of the Remote Sensing Coastal Change project.DUNEX Aerial Imagery of the Outer Banks
The During Nearshore Event Experiment (DUNEX) project is a large collaborative scientific study focusing on understanding the consequences of coastal storms on the morphology of coastal ecosystems. By flying large sections of the coast and collecting still images using structure from motion (SfM) techniques, we hope to contribute high resolution (20cm) elevation maps for time series comparisons...USGS DUNEX Operations on the Outer Banks
DUring Nearshore Event eXperiment (DUNEX) is a multi-agency, academic, and non-governmental organization (NGO) collaborative community experiment designed to study nearshore coastal processes during storm events. The experiment began in 2019 and is scheduled for completion in the fall of 2021. USGS participation in DUNEX will contribute new measurements and models that will increase our...California Sand Resource Assessment Project
The USGS is working in partnership with the Bureau of Ocean Energy Management (BOEM) and the State of California Ocean Protection Council (OPC) to evaluate sand and gravel resources in Federal and State waters for potential use in future beach nourishment projects. Prior to the leasing and development of outer continental shelf (OCS) sand resources for use in beach restoration or coastal...The Mud Creek Landslide May 20 2017
On May 20, 2017, the steep slopes at Mud Creek on California’s Big Sur coast, about 140 miles south of San Francisco, suffered a catastrophic collapse. USGS scientists from the Pacific Coastal and Marine Science Center and the Geology, Minerals, Energy, and Geophysics Science Center continue to monitor this section of the coastline, in collaboration with the California Department of Transportation...USGS science supporting the Elwha River Restoration Project
The Elwha River Restoration Project has reconnected the water, salmon, and sediment of a pristine river and coast of the Olympic Peninsula of Washington.Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks
Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep neural networks are capable of learning many levels of abstraction, an...Exploring the USGS Science Data Life Cycle in the Cloud
Executive Summary Traditionally in the USGS, data is processed and analyzed on local researcher computers, then moved to centralized, remote computers for preservation and publishing (ScienceBase, Pubs Warehouse). This approach requires each researcher to have the necessary hardware and software for processing and analysis, and also to bring all external data required for the workflow over the int - Data
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