The confluence of the Sacramento River and San Joaquin River (CA) undergoes considerable intra-annual changes in surface water inundation. The example illustrates the difference between maximum 2017 inundation (January-March) to lower levels of inundation towards the end of the calendar year.
Christopher Soulard
Chris Soulard has worked for the U.S. Geological Survey since 2002. He is currently a supervisory research geographer working with the Western Geographic Science Center in Moffett Field, CA.
I started my career with the U.S. Geological Survey in 2002 as a student intern and have never looked back, fully embracing my role as a civil servant. For over 20 years, I have had the fortune to work on a wide range of remote sensing into projects focusing on multi-temporal change analyses using Landsat imagery and aerial photography, most notably the Land Cover Trends Project. I have also had many opportunities to expand my research scope, including community vulnerability assessments of tsunami and volcanic lahar hazards in the Pacific Northwest, terrestrial laser scanning to monitor soil and vegetation changes in the Mojave Desert and elsewhere, land-use/land-cover forecasting for the Western United States, and vegetation change analyses using Google Earth Engine cloud computing. My career with the U.S. Geological Survey has afforded me the chance to develop technical geospatial and geostatistical research expertise, as well as soft skills like project management, leadership, and communication. I currently serve as the Principal Investigator of the PLACE Project (Patterns in the Landscape – Analyses of Cause and Effect) and supervise the Ecosystem Dynamics Team.
Professional Experience
2020 - present: Supervisory Research Geographer, United States Geological Survey (USGS)
2013 - 2020: Research Geographer, United States Geological Survey (USGS)
2002 - 2013: Geographer, United States Geological Survey (USGS)
Education and Certifications
B.A. in Geography, University of California Santa Barbara, 2003*
*Magna Cum Laude
B.A. in Environmental Studies, University of California Santa Barbara, 2003**
**Environmental Studies Honors Award
M.A. in Geographic Information Science with emphasis in remote sensing and land cover change, San Jose State University, 2005
Science and Products
Volcanoes
Identifying Historical Drivers of Vegetation Change to Inform Future Management of Federal Lands in the Northern Great Basin
Web Mapping Application for a Historical Geologic Field Photo Collection
Patterns in the Landscape – Analyses of Cause and Effect
Land Cover Trends
Integration of Land Cover Trends Field Photography with an Online Map Service
Assessing the Vulnerability of Dryland Ecosystems to Drought in the Western U.S.
Linking Extreme Storms to Changes in Precipitation, Ecosystems, and Wildfire Patterns in the Sierra Nevada
Classification of crop types in central California from 2005 - 2020
Wetlands in the state of Arizona
County-level maps of cropland surface water inundation measured from Landsat and MODIS
National Surface Water Maps using Daily MODIS Satellite Data for the Conterminous United States, 2003-2019
DSWEmod surface water map composites generated from daily MODIS images - California
Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin, 2018-2050
Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps
Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires
Datasets for analyzing stream gage discharge and Landsat imagery integration in the greater Central Valley, California from 1984 to 2015
Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA
Data on influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern US
Land Cover Trends Dataset, 2000-2011
The confluence of the Sacramento River and San Joaquin River (CA) undergoes considerable intra-annual changes in surface water inundation. The example illustrates the difference between maximum 2017 inundation (January-March) to lower levels of inundation towards the end of the calendar year.
High confidence DSWEmod water pixels (blue) from June 2016 covering South Lake Tahoe overlaid on top of a 2016 USDA NAIP image.
High confidence DSWEmod water pixels (blue) from June 2016 covering South Lake Tahoe overlaid on top of a 2016 USDA NAIP image.
The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning
Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020
Using Landsat and MODIS satellite collections to examine extent, timing, and potential impacts of surface water inundation in California croplands☆
Analysis of surface water trends for the conterminous United States using MODIS satellite data, 2003–2019
DSWEmod - The production of high-frequency surface water map composites from daily MODIS images
Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States
Application of empirical land-cover changes to construct climate change scenarios in federally managed lands
Implementation of a surface water extent model in Cambodia using cloud-based remote sensing
Phenology patterns indicate recovery trajectories of ponderosa pine forests after high-severity fires
Landsat time series assessment of invasive annual grasses following energy development
Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California
Removing rural roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011
DSWE_GEE v1.0.0
Science and Products
Volcanoes
Identifying Historical Drivers of Vegetation Change to Inform Future Management of Federal Lands in the Northern Great Basin
Web Mapping Application for a Historical Geologic Field Photo Collection
Patterns in the Landscape – Analyses of Cause and Effect
Land Cover Trends
Integration of Land Cover Trends Field Photography with an Online Map Service
Assessing the Vulnerability of Dryland Ecosystems to Drought in the Western U.S.
Linking Extreme Storms to Changes in Precipitation, Ecosystems, and Wildfire Patterns in the Sierra Nevada
Classification of crop types in central California from 2005 - 2020
Wetlands in the state of Arizona
County-level maps of cropland surface water inundation measured from Landsat and MODIS
National Surface Water Maps using Daily MODIS Satellite Data for the Conterminous United States, 2003-2019
DSWEmod surface water map composites generated from daily MODIS images - California
Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin, 2018-2050
Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps
Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires
Datasets for analyzing stream gage discharge and Landsat imagery integration in the greater Central Valley, California from 1984 to 2015
Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA
Data on influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern US
Land Cover Trends Dataset, 2000-2011
The confluence of the Sacramento River and San Joaquin River (CA) undergoes considerable intra-annual changes in surface water inundation. The example illustrates the difference between maximum 2017 inundation (January-March) to lower levels of inundation towards the end of the calendar year.
The confluence of the Sacramento River and San Joaquin River (CA) undergoes considerable intra-annual changes in surface water inundation. The example illustrates the difference between maximum 2017 inundation (January-March) to lower levels of inundation towards the end of the calendar year.
High confidence DSWEmod water pixels (blue) from June 2016 covering South Lake Tahoe overlaid on top of a 2016 USDA NAIP image.
High confidence DSWEmod water pixels (blue) from June 2016 covering South Lake Tahoe overlaid on top of a 2016 USDA NAIP image.