Adam J. Oliphant
(He/him)Adam Oliphant is a geographer with the USGS based in Flagstaff Arizona.
He is part of the Western Geographic Science Center and specializes in using remote sensing to map vegetation over countries and continents. Adam recently finished mapping cropland extent across all of Southeast and Northeast Asia using Landsat 7&8 as part of the Global Food Security-support Analysis Data at 30m (GFSAD30) project.
Current research focused on mapping crop type and cropland fallows in the United States and integrating NASA/USGS satellite sensors with satellite systems from ESA including Sentinel 1&2. Adam has an interest in Citizen Science and community participation in the collection, analysis, and dissemination of scientific data and projects.
Adam has an interest in surface water quality and quantity monitoring and using consumer grade electronics to collect scientifically useful information.
Professional Experience
2015 - present - Geographer with USGS Western Geographic Science Center
2013 -2015 - Graduate researcher in Forestry and Remote Sensing at Virgina Tech University.
2011 - 2013 - Undergraduate researcher in sustainable polymer science at Texas State University
2012 - Student Environmental Laboratory Intern at Round Rock, Texas Water Plant
2011 - Student Volatile Air Organic Laboratory Intern at Texas Commision for Environmental Quality
Education and Certifications
M.S. in Forestry with an emphasis in Remote Sensing from Virginia Tech, where he researched the spatial distribution of autumn olive (Elaeagnus umbellate) on reclaimed surface coal mines in Appalachia
B.S. in Chemistry with a minor in Geography from Texas State University. Undergraduate research experience in sustainable polymer science and surface water quality.
Science and Products
Fog water collection effectiveness: Mesh intercomparisons
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
Science and Products
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Fog water collection effectiveness: Mesh intercomparisons
To explore fog water harvesting potential in California, we conducted long-term measurements involving three types of mesh using standard fog collectors (SFC). Volumetric fog water measurements from SFCs and wind data were collected and recorded in 15-minute intervals over three summertime fog seasons (2014–2016) at four California sites. SFCs were deployed with: standard 1.00 m2 double-layer 35%AuthorsDaniel Fernandez, Alicia Torregrosa, Peter Weiss-Penzias, Bong June Zhang, Deckard Sorensen, Robert Cohen, Gareth McKinley, Justin Kleingartner, Andrew Oliphant, Matthew BowmanSpectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
Mapping croplands, including fallow areas, are an important measure to determine the quantity of food that is produced, where they are produced, and when they are produced (e.g. seasonality). Furthermore, croplands are known as water guzzlers by consuming anywhere between 70% and 90% of all human water use globally. Given these facts and the increase in global population to nearly 10 billion by thAuthorsPardhasaradhi G. Teluguntla, Prasad S. Thenkabail, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Adam Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh N. Rao, Richard Massey - News