Corina Cerovski-Darriau
Corina is the Landslide Hazards Program Advisor. Her expertise is remote and field mapping of surface processes, monitoring hydrologic change and sediment transport, and modeling landslide hazards.
Her past research covered various topics in hillslope geomorphology – from producing geomorphic process maps to identify and quantify sediment erosion sources, to monitoring how long wildfire impacts soil hydraulic conductivity post-fire, to conducting landslide hazard assessment through field and remote mapping, to sampling and dating material properties to understand landscape evolution. Her scientific interest is the interaction of longer-term geomorphic processes on short-term hazards.
Professional Experience
2023-present Geologist, U.S. Geological Survey, Golden, CO
2017-2022 Research Geologist, U.S. Geological Survey, Menlo Park/Moffett Field, CA
2016-2017 Mendenhall Post-doctoral Researcher, U.S. Geological Survey, Menlo Park, CA
2010-2016 Research/Teaching Assistant, Univ. of Oregon, Dept. of Earth Sciences, Eugene, OR
2008-2010 Policy Associate, Govt. Affairs Program, AGI, Alexandria, VA
Education and Certifications
Ph.D., Geological Sciences, University of Oregon, 2016
B.A., Earth and Planetary Sciences, University of California, Berkeley, 2008
Science and Products
Filter Total Items: 17
Data from "Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning" Data from "Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning"
Accurate, high-resolution maps of bedrock outcrops are extremely valuable. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock maps. This data release contains training data created for developing a machine learning model capable of identifying exposed bedrock across the entire Sierra Nevada Mountains...
Field-saturated hydraulic conductivity time series and sediment accumulations following the 2017 Nuns and Tubbs wildfires, Napa and Sonoma Counties, CA, USA Field-saturated hydraulic conductivity time series and sediment accumulations following the 2017 Nuns and Tubbs wildfires, Napa and Sonoma Counties, CA, USA
This dataset comprises repeat surveys of field-saturated hydraulic conductivity and sorptivity following the October 2017 Nuns and Tubbs wildfires as part of an effort to document soil-hydraulic recovery. A summary table includes associated physiographic properties for each site, including: pre-burn vegetation, lithology, soil burn severity, location, soil texture, and associated van...
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to...
Map data from landslides triggered by Hurricane Maria in four study areas of Puerto Rico Map data from landslides triggered by Hurricane Maria in four study areas of Puerto Rico
In September 2017, Hurricane Maria caused widespread landsliding throughout mountainous regions of Puerto Rico. Nearly all landslides mobilized as debris flows (Bessette-Kirton et al., 2019), but herein, we simply use the term "landslides" when describing all types of slope failures that occurred during Hurricane Maria. To examine the extent and physical characteristics of landslides in...
Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA
This Data Release includes information to support the characterization of surface/near-surface infiltration rates of selected landslide source area materials following Hurricane Maria across Puerto Rico, USA. The dataset includes comma-delimited measurements of field-saturated hydraulic conductivity (Kfs) collected over two field campaigns (Fall 2018 and Spring 2019) as well as...
Science and Products
Filter Total Items: 17
Data from "Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning" Data from "Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning"
Accurate, high-resolution maps of bedrock outcrops are extremely valuable. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock maps. This data release contains training data created for developing a machine learning model capable of identifying exposed bedrock across the entire Sierra Nevada Mountains...
Field-saturated hydraulic conductivity time series and sediment accumulations following the 2017 Nuns and Tubbs wildfires, Napa and Sonoma Counties, CA, USA Field-saturated hydraulic conductivity time series and sediment accumulations following the 2017 Nuns and Tubbs wildfires, Napa and Sonoma Counties, CA, USA
This dataset comprises repeat surveys of field-saturated hydraulic conductivity and sorptivity following the October 2017 Nuns and Tubbs wildfires as part of an effort to document soil-hydraulic recovery. A summary table includes associated physiographic properties for each site, including: pre-burn vegetation, lithology, soil burn severity, location, soil texture, and associated van...
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to...
Map data from landslides triggered by Hurricane Maria in four study areas of Puerto Rico Map data from landslides triggered by Hurricane Maria in four study areas of Puerto Rico
In September 2017, Hurricane Maria caused widespread landsliding throughout mountainous regions of Puerto Rico. Nearly all landslides mobilized as debris flows (Bessette-Kirton et al., 2019), but herein, we simply use the term "landslides" when describing all types of slope failures that occurred during Hurricane Maria. To examine the extent and physical characteristics of landslides in...
Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA
This Data Release includes information to support the characterization of surface/near-surface infiltration rates of selected landslide source area materials following Hurricane Maria across Puerto Rico, USA. The dataset includes comma-delimited measurements of field-saturated hydraulic conductivity (Kfs) collected over two field campaigns (Fall 2018 and Spring 2019) as well as...