Performing stand counts using multispectral data and index thresholding in QGIS

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  • เผยแพร่เมื่อ 3 ธ.ค. 2024

ความคิดเห็น • 23

  • @hesamossanloo
    @hesamossanloo 10 หลายเดือนก่อน

    Thank you a lot. That was very informative and helpful. Please do more tutorials about using deep learning to count trees and identify species, height, etc.

  • @amroal-zoubi2804
    @amroal-zoubi2804 2 ปีที่แล้ว

    Great explanation! Very helpful. Thanks!

  • @appymp
    @appymp 7 หลายเดือนก่อน

    This was a great tutorial, thank you! I wonder if the automated workflow you spoke about in the end of the video has been released yet?

  • @braddock149
    @braddock149 3 ปีที่แล้ว +1

    Well done!

  • @edujacque
    @edujacque 2 ปีที่แล้ว

    Great video! May be a little faster but super usefuly. Still wondering about your raster calculation in min 4:50 of the video. ¿?

  • @GuterWaldschrat
    @GuterWaldschrat ปีที่แล้ว

    4:50 What character is placed between the brackets?
    (NIR >= 6000) ??? (osavi > 0.88) != 0 = 1
    Thanks for help 😊

  • @zj7611
    @zj7611 2 ปีที่แล้ว

    Hi, I have raw datas of micasense camera and get them processed using pix4d mapper, using your method which data should I use? I have blue, green, ndvi, nir, red & red edge here.

  • @lukasspeckhardt1524
    @lukasspeckhardt1524 2 ปีที่แล้ว

    Great video! Super helpful and well explained. From where did you source your data? Thanks!

    • @MicaSense
      @MicaSense  2 ปีที่แล้ว

      Hi Lukas,
      We used a data set we captured with one of our sensors for this video tutorial. If you are looking for sample data sets to use in QGIS, I suggest you visit our website, and under products, you'll find an option for Sample Datasets; pick the one from the sensor you would like to test out. micasense.com/
      If you have any further questions, please get in touch with our support team at support@micasense.com

    • @dalerobberts6793
      @dalerobberts6793 2 ปีที่แล้ว

      Hi Lukas, when I try and apply the filtered layer using sieve and a threshold of 5 I just get a white box with a black border. The entire area where the fine filtered area is just turns to a white block. I have copied your methods completely and tried it a number of times. Any idea why it is doing this. QGIS vs 2.4.1

  • @marlonfgj
    @marlonfgj 3 ปีที่แล้ว

    Genial 👍👍

  • @shalen5256
    @shalen5256 ปีที่แล้ว

    What are the specs of your computer? The processes seem very fast for such large rasters.

  • @larsejderud4937
    @larsejderud4937 3 ปีที่แล้ว

    Would this methodology work to distinguish different tree spiecies from each other in a more dense stand?

    • @MicaSense
      @MicaSense  3 ปีที่แล้ว +1

      Yes, it would

  • @markus10882
    @markus10882 3 ปีที่แล้ว

    Can you please share the formula you've used? eg. osavi etc...

    • @MicaSense
      @MicaSense  3 ปีที่แล้ว +3

      We used the typical osavi formula:
      (NIR - red) / (NIR + red + L) * (1 + L)
      L = 0.16

    • @bvegas
      @bvegas 2 ปีที่แล้ว +1

      @@MicaSense Actually that formula was not used to compute OSAVI in this demo. Only (NIR - R)/(NIR + R) was used.

  • @dalerobberts6793
    @dalerobberts6793 2 ปีที่แล้ว

    Hi @Micasense when I try and apply the filtered layer using sieve and a threshold of 5 I just get a white box with a black border. The entire area where the fine filtered area is just turns to a white block. I have copied your methods completely and tried it a number of times. Any idea why it is doing this. QGIS vs 2.4.1

    • @MicaSense
      @MicaSense  2 ปีที่แล้ว

      Hi Dale! Thanks for reaching out with your concern about filtered layers not working properly. Please get in touch with our support team so we can take a closer look at your situation. They can be reached here: support.micasense.com/hc/en-us/requests/new

    • @soundoftensuns9802
      @soundoftensuns9802 ปีที่แล้ว

      Hi, try seting your min =0 and max =1 to your sieve after creating it

    • @dalerobberts6793
      @dalerobberts6793 ปีที่แล้ว

      @@soundoftensuns9802 Hi, happy new year. Many thanks, will give that a try and see how it goes. Appreciate your feedback.