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.
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.
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
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
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
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
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.
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?
Great explanation! Very helpful. Thanks!
Well done!
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.
Genial 👍👍
What are the specs of your computer? The processes seem very fast for such large rasters.
Great video! May be a little faster but super usefuly. Still wondering about your raster calculation in min 4:50 of the video. ¿?
Hi Eduardo, what is your specific question? Please send us an email to support@micasense.com so we can further assist you :)
4:50 What character is placed between the brackets?
(NIR >= 6000) ??? (osavi > 0.88) != 0 = 1
Thanks for help 😊
It's *
Great video! Super helpful and well explained. From where did you source your data? Thanks!
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
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
Would this methodology work to distinguish different tree spiecies from each other in a more dense stand?
Yes, it would
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
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
Hi, try seting your min =0 and max =1 to your sieve after creating it
@@soundoftensuns9802 Hi, happy new year. Many thanks, will give that a try and see how it goes. Appreciate your feedback.
Can you please share the formula you've used? eg. osavi etc...
We used the typical osavi formula:
(NIR - red) / (NIR + red + L) * (1 + L)
L = 0.16
@@MicaSense Actually that formula was not used to compute OSAVI in this demo. Only (NIR - R)/(NIR + R) was used.