NDVI comparison drone survey 2 with a Sentera NIR Sensor drone – DroneMate Agriculture

This video is about the comparison of 2 NDVI outputs of the same field flown 2 months apart. Be sure to stay tuned to this channel to see more surveys of this field throughout the grow season.
Here is the link to the first video from this site: https://www.youtube.com/watch?v=UeZUBa1vaOY
Find out more about us at: https://www.dronemate.co.nz/
or www.dronemateag.com


  1. Roger A. Hurtado A. on August 2, 2020 at 8:18 am

    Exelente explicación, gracias, se entiende por tu clara voz, saludos desde Bolivia.
    Excellent explanation, thank you, it is understood by your clear voice, greetings from Bolivia.

  2. Jason Zhu on August 2, 2020 at 8:27 am

    Thank you! The analysis is impressive! Does NDVI map have more color to display so that it would be more contrasting, like green, yellow, orange, red?

  3. STAR GIS on August 2, 2020 at 8:40 am

    Hello, good work
    Please help me to get NDVI sensor hardware and software

  4. Ognen Plavevski on August 2, 2020 at 8:41 am

    How much has the Sentera sensor reduced the flight time of the Phantom? What is the current flight time you are getting out of it?

  5. Saikrishna Bodavula on August 2, 2020 at 8:45 am

    Thanks mate ! Really good explanation.

  6. Matthew Decker on August 2, 2020 at 8:45 am

    What program did you use for stitching the photos and processing them into an NDVI?

  7. iBurnabee on August 2, 2020 at 8:45 am

    hey just subbed! just curious on how much farmers are willing to pay for this? Do you investigate areas as part of the job? I plan to use ndvi for corn fields! thanks! and great video!

  8. Matty on August 2, 2020 at 8:46 am

    Well done, thanks guys.

  9. Rodrigo Valdelomar on August 2, 2020 at 8:48 am

    Hi, at what altituted did you take those pictures?

  10. jpayne1226 on August 2, 2020 at 8:49 am

    What is "deed" grass?

  11. Berns Buenaobra on August 2, 2020 at 8:58 am

    The leaf and the branches are really too small a pixel to detect those at the height the drone is flown – there is a GSD ground sampling distance that will give you the effective resolution given the altitude and optics from sensor. Alternatively instead moving around with the mouse in the NDVI imagery you can classify them on ranges (say load the Red and NIR band channels raw data in QGIS and do a Band Math NDVI=NIR-Red/Red+NDVI there). That is if raw channels is available.

  12. radhika satya on August 2, 2020 at 8:58 am

    good video

  13. Newtech Gua on August 2, 2020 at 9:02 am

    great video

  14. Ahsan Bukhari on August 2, 2020 at 9:02 am

    Hatsoff and really appreciated.
    Cane you please share you email?

  15. MrThefastone on August 2, 2020 at 9:11 am

    Wouldn’t there be variation due to light conditions on different days? How is this accounted for?

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