Transcript Application of Geospatial Technologies for Oil Palm Plantation Management Mohd zahlan mohd zaki Malaysia Geospatial Forum 2012 | Melaka | 6-7 March 2012 “The.

Application of Geospatial Technologies
for Oil Palm Plantation Management
Mohd zahlan mohd zaki
Malaysia Geospatial Forum 2012 | Melaka | 6-7 March 2012
“The location of information
is what makes the
information powerful!”
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Overview
•
Introduction
•
Applications
•
•
Oil Palm Yield Forecasting
•
Nutrient Mapping
•
Yield and Growth Analysis
•
Terrain Analysis
•
Hydrological Modelling
Micro-UAV imaging
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Introduction
What?
The Technologies
• Remote Sensing
• Global Positioning System (GPS)
• Geographical Information System (GIS)
• etc.
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Introduction (Cont.)
Why?
•
•
•
•
•
accuracy (accurate information)
cost-effectiveness
better perspective,
enhance communication
quick decision making.
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Introduction (Cont.)
When?
1997
NOW
2005
2012
2007
1997
15
years
Evolution of Geospatial Technology
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Where?
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Introduction
What?
Current Key Projects
• Oil Palm Yield Forecasting
– Accurately forecast oil palm yield for the next
financial year
– Accuracy of ≥95% at estate level
• Site Yield Potential
– Establishing achievable and realistic long term yield
target based on site specific criteria
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Oil Palm Yield Forecasting
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Oil Palm Yield Forecasting
(Cont.)
• In principles, different kind of surface materials
can be distinguished from each other by
differences in reflectance.
CT38 (12.5 MT/ha)
01 A (25.5 MT/ha)
01 D (32.2 MT/ha)
Reflectance Index
02 D (36.5 MT/ha)
Wavelength (nm)
Case Study: Carey Island (2009)
Ground Truth Sensor: Spectroradiometer
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Oil Palm Yield
Forecasting
(MT/Ha/Yr)
13-14
14-15
15-16
16-17
17-18
18-19
19-20
20-21
Field : 84C
Year after planting in 2007 : 23
Spectral age: 16.74
Yield (CIFOS/Actual) : 19.68/19.60 MT/Ha
Accuracy: 99.61%
Data Source: Landsat (30m)
Data Cost: Free Download
21-22
22-23
23-24
24-25
25-26
26-27
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Oil Palm Yield Forecasting
Estate Yield Budgeting Trend vs. Actual Productivity
35
30
MT/Ha/Yr
25
20
Estate Actual Productivity
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Forecasted Figure
Estate Budget
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2002 /
2003
2004 /
2005
2005 /
2006
2006 /
2007
2008 /
2009
2009 /
2010
2010 /
2011
Financial Year
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Leaf Area Index & Nutrient
Mapping
Data Source: SPOT-XS (20m)
Data Cost: RM 0.005/ha
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Yield Performance Index
(%) Variance – Actual vs. SYP
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Growth Performance Index
(%) Variance – Spectral vs. Actual
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Palm Management
Performance Index
PALM MANAGEMENT PERFORMANCE MATRIX
GROWTH
PERFORMANCE
EXCELLENT
GOOD
UPPER AVERAGE
LOWER AVERAGE
MARGINAL
POOR
YIELD PERFORMANCE
EXCELLENT
GOOD
MARGINAL
POOR
EXCELLENT
NOT SATISFACTORY
GOOD
POOR
SATISFACTORY
VERY POOR
1
EXCELLENT
Excellent growth (>95%), expect good respond to fertilization
and good crop recovery standards
2
GOOD
Average palm growth (can further improve), likely satisfactory
respond to fertilization and good crop recovery standards
3
SATISFACTORY
Impeded growth, suspect present of limiting factors, expect
good respond to fertilization good crop recovery standards
4
NOT
SATISFACTORY
Excellent growth (>95%), expect good respond to fertilization
but suspect poor crop recovery standards
5
POOR
Average palm growth, suspect present of limiting factors, likely
respond to fertilization but suspect poor crop recovery
standards
6
VERY POOR
Impeded growth, suspect present of limiting factors, expect
poor respond to fertilization and/or poor crop recovery
standards
FY08/09
FY09/10
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Palm Growth Assessment
High Resolution Image
Digital Image Processing:
LPF
Data Source: Quickbird (0.68m)
Data Cost: RM 0.60/ha
Digital Image Processing:
Intensity Scaling
(cont.)
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Palm Growth Assessment
C
AD
Excellent Palm
B
Abnormal growth,
relatively small
B
Final Image
A
C
Supply Palm
D
Vacant area
Normal palm, but was identified
having leaning problem.
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Terrain Analysis
Digital Elevation
Model (DEM)
Slope Analysis
Data Source: SRTM (30m)
Data Cost: Free
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Terrain Analysis
Digital Elevation
Model (DEM)
Slope Analysis
Data Source: IFSAR (5m)
Data Cost: RM 1.40/ha
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3D Terrain Analysis
(Excise area above 25° for conservation)
Data Source: SRTM (30m)
Data Cost: Free Download
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Hydrological Modelling
Data Source: SRTM (30m)
Data Cost: Free Download
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Micro-UAV Imaging
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•
•
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Types…
Advantage…
Drawbacks…
Potential…
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Micro-UAV Imaging
Yield and Growth Analysis: Identify Problematic Areas
Data Source:
CropCAM UAV (0.2m)
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Micro-UAV Imaging
Hecto-copter
Outbreak surveilance
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Conclusions
• Advancement in geospatial technology provides reliable
high quality data on large scale, speedily and cost
effectively.
• 1 Data : MULTIPLE application. EXPLORE!
• Powerful and useful agro-management tool for precision
agriculture to enable sustainable oil palm cultivation.
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“Effort is important, but
knowing where to make an
effort makes all the
difference”
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Thank You
[email protected]
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