Remote Sensing for Dryland Agriculture
Convener: Geoffrey Henebry, Michigan State University
Remote sensing can assist the adaptive evolution of agricultural practices for providing humanity with food, fibers, fuel, and raw materials. Earth observations provide repetitive information on crop status throughout the season at different scales and for different actors to face this fundamental challenge. We welcome a broad topic of presentations describing empirical and deterministic approaches to retrieve agronomical variables and plant traits that can be assessed by spectroscopy or Earth observations. Specific topics are crop production forecasting, assessment of crop damage and crop progress, horticulture and cropping systems analysis.
Showing all 5 results
Remote Sensing for Dryland Agriculture1. Dr. Alon Ben-Gal
Static vs Dynamic Management Zones for Remote-Sensing Guided Precision Irrigation
Volcani Institute, Agricultural Research Organization, Israel
- Remote Sensing for Dryland Agriculture
2. Dr. Ittai Herrmann
Spectral Assessment of Chickpea Morpho-Physiological Traits from Space and Ground
The Hebrew University of Jerusalem, Israel
- Remote Sensing for Dryland Agriculture
3. Dr. Tarin Paz-Kagan
Predicting of Canopy Nitrogen Content based on UAVs and Satellites Data Fusion in Citrus Orchards
Ben Gurion University of the Negev, Israel
- Remote Sensing for Dryland Agriculture
4. Dr. Micha Silver
A New Approach for Early Detection of Red Palm Weevil
Ben Gurion University of the Negev, Israel
- Remote Sensing for Dryland Agriculture
5. Mr. Shay Adar
Can We Estimate Pasture Quality Using Remote Sensing? An Assessment of Mediterranean and Semiarid Grasslands
Tel Aviv University, Israel
