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Remote Sensing Predictions

Indexed Papers
2
Recorded Hubs
0
Recorded funders
1
U.S. states + D.C.
2

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This is an automated aggregation of all research tagged "Remote Sensing Predictions" across the OpenAgData network. It updates in real-time as new papers are published.

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Topic: Remote Sensing Predictions

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Bernd J. Berauer, Peter A. Wilfahrt, Björn Reu, Max A. Schuchardt, Noelia Garcia-Franco, Marcus Zistl-Schlingmann, Michael Dannenmann, Ralf Kiese, Anna Kühnel, Anke Jentsch • Unknown Hub (2020)

“Vis-NIRS provides a rapid, cost-efficient and high-throughput technique to analyze forage quality, revealing global change in grasslands”

Profitability / ROIMaryland

Brady W. Allred, Brandon T. Bestelmeyer, Chad S. Boyd, Christopher Brown, Kirk W. Davies, Michael C. Duniway, Lisa M. Ellsworth, Tyler A. Erickson, Samuel D. Fuhlendorf, Timothy V. Griffiths, Vincent Jansen, Matthew O. Jones, Jason Karl, Anna Knight, Jeremy D. Maestas, Jonathan J. Maynard, Sarah E. McCord, David E. Naugle, Heath D. Starns, Dirac Twidwell, Daniel R. Uden • Unknown Hub (2021)

“The ability to monitor rangeland vegetation and to quantify changes in cover with satellite remote sensing is revolutionary to the rangeland”

Other / NeutralMontana

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