Re: [Qgis-user] Palm Counting using QGIS

2023-06-06 Thread kirk via QGIS-User
Hi LokeRichard 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
 Original message From: Loke Jian Munn  
Date: 2023-06-06  6:18 a.m.  (GMT-04:00) To: Richard McDonnell 
, kirk , 
qgis-user@lists.osgeo.org Cc: Moke Kwai Cheong , Cheong 
Chee Phang , Leong Kah Choon , 
Mulwanto , Endang Sudita Prayoga , M 
Rizki Ramdani , Fira Yunita , Qurata Ayun 
Wijanarko  Subject: RE: [Qgis-user] Palm Counting using 
QGIS 

Hi Kirk & Richard,
 
Thanks for the great inputs and we have a clearer direction now.
 
Just to have a quick check with you, can the Imagery be Orthomosaic map ?
 
Thank you.
 
Best Regards,

Loke Jian Munn
Information Technology (IT) Department

KUALA LUMPUR KEPONG BERHAD
Wisma Taiko,
No. 1, Jalan S.P. Seenivasagam,
3 Ipoh,Perak Darul Ridzuan,Malaysia
T    : 
+605 240 8000 (ext. 2443)


 


From: Richard McDonnell 

Sent: Thursday, 1 June, 2023 10:55 PM
To: kirk ; Loke Jian Munn ; 
qgis-user@lists.osgeo.org
Cc: Moke Kwai Cheong ; Cheong Chee Phang 
; Leong Kah Choon ; Mulwanto 
; Endang Sudita Prayoga ; M Rizki 
Ramdani ; Fira Yunita ;
 Qurata Ayun Wijanarko 
Subject: RE: [Qgis-user] Palm Counting using QGIS


 
Hi Loke,
Just to add to Kirk’s comments, have you considered using Imagery along with 
the DSM? More specifically a NDVI of the
 plantation.
You will need to determine the signature range for Palm Tree Leaves, but where 
you have both a Palm tree Signature and
 your Local Minima/Maxima it could improve your detection.
Kind Regards,
 
Richard

 





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FRM Data Management

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MSc GIS, FME Certified Professional

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Office of Public Works

Sráid Jonathan Swift, Baile Átha Troim, Co na Mí, C15 NX36

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From: QGIS-User 
On Behalf Of kirk via QGIS-User
Sent: 01 June 2023 10:58
To: Loke Jian Munn ;
qgis-user@lists.osgeo.org
Cc: Moke Kwai Cheong ; Cheong Chee Phang 
; Leong Kah Choon ; Mulwanto
 ; Endang Sudita Prayoga ; M Rizki 
Ramdani ; Fira Yunita ;
 Qurata Ayun Wijanarko 
Subject: Re: [Qgis-user] Palm Counting using QGIS


 

Hi Loke.


 


A couple of comments.  


 


1) The 95 % success rate is very good.  If you were to have a close look at the 
missed trees you may realize that the highest point on a particular palm tree 
is lower than the neighboring tree or palm frond. What ever
 algorithm you use, you are limited by the physical data, accuracy and 
resolution being the key factors.  The physical condition of the trees you are 
trying to identify also plays a role,as mentioned previously.  A DSM is an 
approximation as it is derived from
 some form of point data, either lidar  or photo based and then generated by 
extracting the maximum, 95th percentile, maximum or perhaps the average height 
if all the points that land in a cell.  


 


Your issue is a limitation of the data and the basic logic of a max/minima 
algorithm.  It cannot detect what is not reflected in the data.  You can 
interpret the colour imagery but have a look at the dsm at the missed
 maxima.


 


You could try developing a routine by processing the,raw point cloud data or 
try generating a dsm yourself.  


 


You can also try changing the algorithm parameters. Perhaps in areas if missed 
maxima. Although, this may not be effective as the maxima you are looking for 
probably is not reflected the dem.


 


 


 


2) Plug-ins,are created by third parties and not by the Qgis team directly. You 
can reach out to the author and discuss with him/her. 


 


Kirk Schmidt


 


 


 


 



Sent 

Re: [Qgis-user] Palm Counting using QGIS

2023-06-01 Thread kirk via QGIS-User
Hi Loke.A couple of comments.  1) The 95 % success rate is very good.  If you 
were to have a close look at the missed trees you may realize that the highest 
point on a particular palm tree is lower than the neighboring tree or palm 
frond. What ever algorithm you use, you are limited by the physical data, 
accuracy and resolution being the key factors.  The physical condition of the 
trees you are trying to identify also plays a role,as mentioned previously.  A 
DSM is an approximation as it is derived from some form of point data, either 
lidar  or photo based and then generated by extracting the maximum, 95th 
percentile, maximum or perhaps the average height if all the points that land 
in a cell.  Your issue is a limitation of the data and the basic logic of a 
max/minima algorithm.  It cannot detect what is not reflected in the data.  You 
can interpret the colour imagery but have a look at the dsm at the missed 
maxima.You could try developing a routine by processing the,raw point cloud 
data or try generating a dsm yourself.  You can also try changing the algorithm 
parameters. Perhaps in areas if missed maxima. Although, this may not be 
effective as the maxima you are looking for probably is not reflected the 
dem.2) Plug-ins,are created by third parties and not by the Qgis team directly. 
You can reach out to the author and discuss with him/her. Kirk SchmidtSent from 
my Galaxy
 Original message From: Loke Jian Munn via QGIS-User 
 Date: 2023-06-01  6:28 a.m.  (GMT-04:00) To: 
qgis-user@lists.osgeo.org Cc: Moke Kwai Cheong , Cheong 
Chee Phang , Leong Kah Choon , 
Mulwanto , Endang Sudita Prayoga , M 
Rizki Ramdani , Fira Yunita , Qurata Ayun 
Wijanarko  Subject: [Qgis-user] Palm Counting using QGIS 

Hi Team,
 
We have been using QGIS to do Palm Counting. 
 
Palm Counting here mean oil palm, we use QGIS processing tool, Features-Raster 
Tools (Local Minima and Maxima) to do the counting on a DSM layer.
Example as below:
 

 
Based on our industrial experiences, the accuracy of the Local Maxima algorithm 
is approximately 90%-95%. However, we still need to do toggle editing such as 
we utilize the “ Add Point Feature “ function when there are points missed, the
 “Vertex Tool” is used to adjust the position of points and the “Select 
Feature” for removal of any unnecessary points.
 
We would like to have an improvement plan on the accuracy for
more than 95% to reduce the extra manual works ( toggle edit ).
 
Appreciate if the team could share with us any latest QGIS palm count plugin or 
any other solutions to achieve the accuracy more than 95% when doing palm count.
 
Your input is highly appreciated. Thank you.
 
 
Regards,
Loke Jian Munn
Information Technology (IT) Department

KUALA LUMPUR KEPONG BERHAD
Wisma Taiko,
No. 1, Jalan S.P. Seenivasagam,
3 Ipoh,Perak Darul Ridzuan,Malaysia
T    : 
+605 240 8000 (ext. 2443)

 

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disclosure, copying, distribution either whole or partial, is prohibited and 
may be unlawful. In such case, please
 delete this message and kindly notify the sender. 
Kuala Lumpur Kepong Berhad 
 
 
 


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[Qgis-user] Palm Counting using QGIS

2023-06-01 Thread Loke Jian Munn via QGIS-User
Hi Team,

We have been using QGIS to do Palm Counting.

Palm Counting here mean oil palm, we use QGIS processing tool, Features-Raster 
Tools (Local Minima and Maxima) to do the counting on a DSM layer.
Example as below:

[cid:image001.jpg@01D994AE.734803A0]

Based on our industrial experiences, the accuracy of the Local Maxima algorithm 
is approximately 90%-95%. However, we still need to do toggle editing such as 
we utilize the " Add Point Feature " function when there are points missed, the 
"Vertex Tool" is used to adjust the position of points and the "Select Feature" 
for removal of any unnecessary points.

We would like to have an improvement plan on the accuracy for more than 95% to 
reduce the extra manual works ( toggle edit ).

Appreciate if the team could share with us any latest QGIS palm count plugin or 
any other solutions to achieve the accuracy more than 95% when doing palm count.

Your input is highly appreciated. Thank you.


Regards,
Loke Jian Munn
Information Technology (IT) Department
[cid:image002.png@01D994AE.734803A0]
KUALA LUMPUR KEPONG BERHAD
Wisma Taiko,
No. 1, Jalan S.P. Seenivasagam,
3 Ipoh,Perak Darul Ridzuan,Malaysia
T:  +605 240 8000 (ext. 2443)
[A close up of a signDescription automatically 
generated][A
 close up of a signDescription automatically 
generated]


DISCLAIMER : This email and any attachments are confidential and intended 
solely for the addressee. If you are not the intended recipient, any 
disclosure, copying, distribution either whole or partial, is prohibited and 
may be unlawful. In such case, please delete this message and kindly notify the 
sender.
Kuala Lumpur Kepong Berhad




DISCLAIMER : This email and any attachments are confidential and intended 
solely for the addressee. If you are not the intended recipient, any 
disclosure, copying, distribution either whole or partial, is prohibited and 
may be unlawful. In such case, please delete this message and kindly notify the 
sender.
Kuala Lumpur Kepong Berhad
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