Remote Sensing Predictions
Knowledge Graph
Visualizing semantic connections within this topic
About this Page
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.
Follow this topic
Get a weekly digest when new papers land.
Latest Research Feed
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 • Pastureland Conservation Assessment Studies (2020)
“Vis-NIRS provides a rapid, cost-efficient and high-throughput technique to analyze forage quality, revealing global change in grasslands”
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 • Pastureland Conservation Assessment Studies (2021)
“The ability to monitor rangeland vegetation and to quantify changes in cover with satellite remote sensing is revolutionary to the rangeland”
Top Hubs
Pastureland Conservation Assessment Studies
Top Funders
Bundesministerium für Bildung und Forschung
Are we missing data?
If your lab's work on Remote Sensing Predictions isn't listed here, upload it now.
Contribute Research