[Qgis-user] (no subject)

[Loke Jian Munn]

Resend to include the attachment.

Thank you.

Loke Jian Munn
Information Technology (IT) Department
[cid:image001.png at 01D9A45A.EE3B83F0]
KUALA LUMPUR KEPONG BERHAD
Wisma Taiko,
No. 1, Jalan S.P. Seenivasagam,
30000 Ipoh,Perak Darul Ridzuan,Malaysia
T    :  +605 240 8000 (ext. 2443)
[A close up of a sign    Description automatically generated]<https://clicktime.symantec.com/15tpDKjABDCCmu4drBEZD?h=4-LzQeEUOcKmp7sCwswGafke694l_dZCDQJ4Rb8N8bc=&u=http://www.klk.com.my/>[A close up of a sign    Description automatically generated]<https://clicktime.symantec.com/15tpJ9vSdpsoBqtZPjdhq?h=bX-LFOj0HrSJV_t-3L_WhMP3i5PRx5AtNBaHlI02C7k=&u=http://www.linkedin.com/company/klkberhad>

From: Loke Jian Munn
Sent: Wednesday, 21 June, 2023 4:09 PM
To: kirk <kirk at nortekresources.com>; qgis-user at lists.osgeo.org; Richard McDonnell <richard.mcdonnell at opw.ie>
Subject: RE:

Hi,

As mention previously, I need NIR band to perform the NDVI, however my drone sensor does not record NIR band.

So, I trying another way which is crop counting from orthophoto with Python and Scikit Image. The whole process is geospatial as it works with raster and shapefiles and results are finally displayed on QGIS.

But the results I get are like below:

[cid:image004.png at 01D9A45A.EE3B83F0]

After Zoom in:
[cid:image005.png at 01D9A45A.EE3B83F0]

May I know what’s goes wrong ? I have attached the Python code above for references. For this project, I using an Orthomosaic layer with resolution of 5cm.

Appreciate if you can provide me some guidelines or insights in this as this is my first time touching python and scikit.

Thank you.

Regards,
Loke Jian Munn
Information Technology (IT) Department
[cid:image001.png at 01D9A45A.EE3B83F0]
KUALA LUMPUR KEPONG BERHAD
Wisma Taiko,
No. 1, Jalan S.P. Seenivasagam,
30000 Ipoh,Perak Darul Ridzuan,Malaysia
T    :  +605 240 8000 (ext. 2443)
[A close up of a sign    Description automatically generated]<https://clicktime.symantec.com/15tpDKjABDCCmu4drBEZD?h=4-LzQeEUOcKmp7sCwswGafke694l_dZCDQJ4Rb8N8bc=&u=http://www.klk.com.my/>[A close up of a sign    Description automatically generated]<https://clicktime.symantec.com/15tpJ9vSdpsoBqtZPjdhq?h=bX-LFOj0HrSJV_t-3L_WhMP3i5PRx5AtNBaHlI02C7k=&u=http://www.linkedin.com/company/klkberhad>

From: kirk <kirk at nortekresources.com<mailto:kirk at nortekresources.com>>
Sent: Tuesday, 6 June, 2023 6:09 PM
To: Loke Jian Munn <jm.loke at klk.com.my<mailto:jm.loke at klk.com.my>>; qgis-user at lists.osgeo.org<mailto:qgis-user at lists.osgeo.org>
Subject:

Hi Loke

Richard suggested using a NDVI approach which would require data in the Near Infrared (NIR) band.  An orthomisaic would contain 3 colour bands, but not the NIR.  NDVI provides an understanding of plant greenness and health and may not be suitable for detecting oil palm's.

If you are getting 90 percent plus with your current approach , you may find that you will spend 4 times longer capturing the additional 10 percent.

NIR data,are available from various satellite sensors however, their resolution would not work at the individual plant level.

Some drone sensors record the NIR band.

Kirk Schmidt



Sent from my Galaxy


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