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Tabitha A Graves

Vegetation phenology and productivity play a crucial role in surface energy balance, plant and animal distribution, and animal movement and habitat use and can be measured with remote sensing metrics including start of season (SOS), peak instantaneous rate of green-up date (PIRGd), peak of season (POS), end of season (EOS), and integrated vegetation indices. However, for most metrics, we do not yet understand the agreement of remotely sensed data products with near-surface observations. We also need summaries of changes over time, spatial distribution, variability, and consistency in remote sensing dataset metrics for vegetation timing and quality. We compare metrics from 10 leading remote sensing datasets against...
Categories: Publication; Types: Citation
This package is designed to estimate, summarize, and visualize wildlife aggregation metrics using location information like GPS collar data or digitized animal locations from satellite or UAS imagery. This decision tool provides information on disease risk for managers and researchers to compare across areas or time periods of adaptive management designed to shift densities to reduce risk of CWD, overgrazing, or other issues. It could also be used for cattle or horses.
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Remotely sensed elk locations were derived from satellite and Unmanned Aerial Systems (UAS) imagery collected during the winter of 2018 and the winter and spring of 2019 at the National Elk Refuge in Jackson, Wyoming and compared to locations from Global Positioning System (GPS) collars from 2017 - 2019. This data release provides the source, date, time, latitude, and longitude of elk locations and the type of analyses the location data were used for in the accompanying manuscript by Graves and others 2021. DOI will be provided once supplied by the journal.
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This data represents occupancy predictions for western bumble bee in 2020 across the western conterminous United States. This product is a 30-meter resolution downscaled version of previously published occupancy layers for the western bumble bee. For more information on original publications, see the publication listed in the Larger Works Cited Section.
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ScienceCache is a scientific geocaching mobile application framework that targets two user groups for citizen science data collection: youth and geocachers. By melding training and games into the hunt for place-based data collection sites and incorporating photo uploads as data and authentication, new volunteers can collaborate in robust data collection. Scientists build a project on the administrative Web site app, specifying locations or goals for new data collection sites, clues for established sites, questions to answer, measurements, or other activities for the site based on their individual data needs. The project builds on the success of the USA National Phenology Network (NPN) and the ScienceBase project...
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