DDD Conference

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

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    Remote Sensing for Dryland Agriculture

    Dr. Alon Ben-Gal

    Static vs Dynamic Management Zones for Remote-Sensing Guided Precision Irrigation

    Volcani Institute, Agricultural Research Organization, Israel

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    Remote Sensing for Dryland Agriculture

    Dr. Ittai Herrmann

    Spectral Assessment of Chickpea Morpho-Physiological Traits from Space and Ground

    The Hebrew University of Jerusalem, Israel

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    Remote Sensing for Dryland Agriculture

    Dr. Tarin Paz-Kagan

    Predicting of Canopy Nitrogen Content based on UAVs and Satellites Data Fusion in Citrus Orchards

    Volcani Institute, Agricultural Research Organization, Israel

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    Remote Sensing for Dryland Agriculture

    Mr. Gabriel Mulero

    Detecting Wheat Response to Elevated CO2 and Drought Using Remote Sensing Metrics

    The Hebrew University of Jerusalem, Israel

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    Remote Sensing for Dryland Agriculture

    Prof. Arnon Karnieli

    Were Climate Change and Droughts Really the Trigger Behind the Syrian Civil War in 2011?

    Ben Gurion University of the Negev, Israel

     

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