In June 2022, Mendenhall Fellow Sabine Loos (Research Civil Engineer in the Geological Hazards Science Center) presented a seminar to USGS's Earthquake Science Center at Moffett Field, CA, where Max Schneider (Research Statistician) works as a Mendenhall Fellow.
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Mendenhall Fellows Sabine Loos and Max Schneider
In June 2022, Mendenhall Fellow Sabine Loos (Research Civil Engineer in the Geological Hazards Science Center) presented a seminar to USGS's Earthquake Science Center at Moffett Field, CA, where Max Schneider (Research Statistician) works as a Mendenhall Fellow.
Mendenhall Fellows Noa Randall and Rachel Allen Do Fieldwork
Noa Randall and Rachel Allen are installing an optical turbidity sensor on the mudflats in Wellfleet harbor, to pair with the altimeter run by the Center for Coastal Studies. The Herring River, which drains into Wellfleet Harbor, is slated to have its 100-yo dam removed in the next 6 months, with the potential to dramatically increase the sediment load and sus
Noa Randall and Rachel Allen are installing an optical turbidity sensor on the mudflats in Wellfleet harbor, to pair with the altimeter run by the Center for Coastal Studies. The Herring River, which drains into Wellfleet Harbor, is slated to have its 100-yo dam removed in the next 6 months, with the potential to dramatically increase the sediment load and sus
Joshua Crozier
Joshua Crozier is a Mendenhall Postdoctoral Fellow working at the USGS California Volcano Observatory
Joshua Crozier is a Mendenhall Postdoctoral Fellow working at the USGS California Volcano Observatory
West-central Mississippi land cover map derived from 2013 Landsat imag
This color-coded land cover map, showing cropland, water bodies, urban areas, and other types of land cover, is based on a 2013 Landsat satellite image. Satellite-image-derived land cover maps are essential tools for studying land cover and land use change over time on local, regional, and global scales.
This color-coded land cover map, showing cropland, water bodies, urban areas, and other types of land cover, is based on a 2013 Landsat satellite image. Satellite-image-derived land cover maps are essential tools for studying land cover and land use change over time on local, regional, and global scales.