Western Geographic Science Center
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The Western Geographic Science Center (WGSC) conducts geographic research on the environmental and societal consequences of a changing landscape. Our tools and models help decision makers better use complex scientific information to understand their alternative options. Our work links natural science and social science to analyze human/environmental interactions both spatially and temporally.
Anne Wein Wins Bay Area Metro Award!
Congratulations to Dr. Anne Wein, Operations Research Analyst at WGSC, who received a 2019 Bay Area Metro Award for her work as lead researcher for the HayWired earthquake scenario!
Learn moreVegetation recovery science in the News!
“Understanding the factors that encourage successful re-vegetation is critical for resource managers to make informed decisions about this region of economic and ecological importance.” Miguel Villarreal
Read press releaseProjects and teams at WGSC
Just a few examples of WGSC projects and science teams.
Global Food Security-Support Analysis Data at 30 m (GFSAD30)
Hazards Societal Consequences and Risk Communication
Land-Use and Climate Change Team (LUCC)
Applied Landscape Ecology and Remote Sensing
Patterns in the Landscape – Analyses of Cause and Effect (PLACE)
News
Anne Wein Wins Prestigious 2019 Bay Area Metro Award
Congratulations to Dr. Anne Wein, Operations Research Analyst at WGSC, who received a 2019 Bay Area Metro Award from the Association of Bay Area Governments and the Metropolitan Transportation Commission for her work as lead researcher for the HayWired earthquake scenario.
WGSC Scientists tour a restoration project
Laura Norman's Aridland Water Harvesting Study helps lead a tour of a restoration and monitoring project at the Boy Scouts of America, Heard Scout Pueblo (HSP) in Phoenix, Arizona.
The GFSAD30 project accomplished their goal!
The global croplands mapping project has succesfully mapped croplands across the entire planet in order to understand the security of food world wide. Below are many press anouncments and interviews with the project leader Prasad Thenkabail.
Publications
Rating fire danger from the ground up
Soil moisture information could improve assessments of wildfire probabilities and fuel conditions, resulting in better fire danger ratings.
Matthew Levi; Erik S. Krueger; Grant J. Snitker; Tyson Ochsner; Villarreal, Miguel L.; Emile H. Elias; Dannele E. Peck Phenology patterns indicate recovery trajectories of ponderosa pine forests after high-severity fires
Post-fire recovery trajectories in ponderosa pine (Pinus ponderosa Laws.) forests of the US Southwest are increasingly shifting away from pre-burn vegetation communities. This study investigated whether phenological metrics derived from a multi-decade remotely sensed imagery time-series could differentiate among grass, evergreen shrub, deciduous...
Walker, Jessica; Soulard, Christopher E. Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud
The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has a staggering 900 million people (~43% of the population) who face food insecurity or severe food insecurity as per United Nations, Food and Agriculture Organization’s (FAO) the Food Insecurity Experience Scale (FIES). The existing coarse-resolution (>250-m) cropland...
Murali Krishna Gumma; Thenkabail, Prasad; Pardhasaradhi Teluguntla; Oliphant, Adam