A long standing debate has existed on the utility of Mid Wave Infrared (MWIR) vs Long Wave Infrared (LWIR) remote-sensing imagery for Precision Agriculture applications. We have conducted a combined qualitative and quantitative, multi-field, aircraft remote-sensing study to show that LWIR measurements often result in more actionable for day-to-day farm management applications. LWIR imagery when processed with SaraniaSat's nonlinear, weak-signal detection algorithms is an effective predictor of crops stress and ultimate harvest yield. It is also shown that both processed LWIR and MWIR imagery contain actionable, crop-stress information that is absent in the conventional Normalized Difference Vegetation Index (NDVI) that is currently, widely used for Precision Agriculture. Finally, at a simulated 10m ground resolution (satellite remote sensing) it is shown, once again, that LWIR is superior and more actionable.


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    Titel :

    Comparison of Mid Wave Infrared (MWIR) and Long Wave Infrared (LWIR) Imagery for Precision Agriculture Applications


    Beteiligte:
    George, Tom (Autor:in) / Gulati, Sandeep (Autor:in) / Martin, Stan (Autor:in) / Nozaki, Shinji (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.03.2019


    Format / Umfang :

    3988920 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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