How to delineate crops from Drone Orthophotos with QGIS - Tutorial

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  • Опубліковано 15 жов 2024
  • While doing research on machine learning algorithms for drone orthophotos we found that crops can be delineated with just standard QGIS with excellent performance. Based on the addition of the blue and red band divided by the green band we can have a new vegetation index where the most healthy crops have low index values (0-1.5) and the dry crops / barren soil have high values (more than 1.9). This tutorial shows the complete procedure on QGIS to perform the delineation from bean plants on a drone orthophoto with a resolution of 5cm.
    Input data
    You can download the input data from this link:
    www.hatarilabs...

КОМЕНТАРІ • 5

  • @MichaelDufty
    @MichaelDufty 3 роки тому +2

    Nice, I'm going to try this. I haven't come across the Hatari index before. I've had best results with excess green - excess red 3G -2.4R -B though my use case is just distinguishing any plant from bare ground. Your method seems to handle shadows better.

    • @hatarilabs
      @hatarilabs  3 роки тому

      The hatari index was made up from the observations. It works... however we are not clear about the physical background

  • @emanuelv5934
    @emanuelv5934 Рік тому

    Excelente aporte! Continúa así! Gracias!

  • @khanhminh7110
    @khanhminh7110 2 роки тому

    Is it possible to monitor forest loss automatically with QGIS?

  • @123relaxemind
    @123relaxemind 3 роки тому +1

    Sir please make more vedio on Agriculture