[Qgis-user] Palm Counting using QGIS

Tue Jun 6 02:45:34 PDT 2023

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 <jm.loke at klk.com.my> Date: 2023-06-06  6:18 a.m.  (GMT-04:00) To: Richard McDonnell <richard.mcdonnell at opw.ie>, kirk <kirk at nortekresources.com>, qgis-user at lists.osgeo.org Cc: Moke Kwai Cheong <kc.moke at klk.com.my>, Cheong Chee Phang <cp.cheong at klk.com.my>, Leong Kah Choon <kc.leong at klk.com.my>, Mulwanto <mulwanto at klk.co.id>, Endang Sudita Prayoga <endang.sp at klk.co.id>, M Rizki Ramdani <rizki.r at klk.co.id>, Fira Yunita <fira.y at klk.co.id>, Qurata Ayun Wijanarko <qurata.aw at klk.co.id> 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,
30000 Ipoh,Perak Darul Ridzuan,Malaysia
T    : 
+605 240 8000 (ext. 2443)

From: Richard McDonnell <richard.mcdonnell at opw.ie>

Sent: Thursday, 1 June, 2023 10:55 PM
To: kirk <kirk at nortekresources.com>; Loke Jian Munn <jm.loke at klk.com.my>; qgis-user at lists.osgeo.org
Cc: Moke Kwai Cheong <kc.moke at klk.com.my>; Cheong Chee Phang <cp.cheong at klk.com.my>; Leong Kah Choon <kc.leong at klk.com.my>; Mulwanto <mulwanto at klk.co.id>; Endang Sudita Prayoga <endang.sp at klk.co.id>; M Rizki Ramdani <rizki.r at klk.co.id>; Fira Yunita <fira.y at klk.co.id>;
 Qurata Ayun Wijanarko <qurata.aw at klk.co.id>
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

——
Richard McDonnell MSc GIS, FME Certified Professional
FRM Data Management

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From: QGIS-User <qgis-user-bounces at lists.osgeo.org>
On Behalf Of kirk via QGIS-User
Sent: 01 June 2023 10:58
To: Loke Jian Munn <jm.loke at klk.com.my>;
qgis-user at lists.osgeo.org
Cc: Moke Kwai Cheong <kc.moke at klk.com.my>; Cheong Chee Phang <cp.cheong at klk.com.my>; Leong Kah Choon <kc.leong at klk.com.my>; Mulwanto
 <mulwanto at klk.co.id>; Endang Sudita Prayoga <endang.sp at klk.co.id>; M Rizki Ramdani <rizki.r at klk.co.id>; Fira Yunita <fira.y at klk.co.id>;
 Qurata Ayun Wijanarko <qurata.aw at klk.co.id>
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 from my Galaxy

-------- Original message --------

From: Loke Jian Munn via QGIS-User <qgis-user at lists.osgeo.org>

Date: 2023-06-01 6:28 a.m. (GMT-04:00)

To: qgis-user at lists.osgeo.org

Cc: Moke Kwai Cheong <kc.moke at klk.com.my>, Cheong Chee Phang <cp.cheong at klk.com.my>,
 Leong Kah Choon <kc.leong at klk.com.my>, Mulwanto <mulwanto at klk.co.id>, Endang Sudita Prayoga <endang.sp at klk.co.id>,
 M Rizki Ramdani <rizki.r at klk.co.id>, Fira Yunita <fira.y at klk.co.id>, Qurata Ayun Wijanarko <qurata.aw at klk.co.id>

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,

30000 Ipoh,Perak Darul Ridzuan,Malaysia

T    : 
+605 240 8000 (ext. 2443)

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