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Water for a food-secure world
www.iwmi.org
Rajah Ameer, Salman Siddiqui, Aditya Sood, Herath
Manthrithilake, Ranjith Ariyaratne
Sri Lanka
Geospatial Forum
10 June 2013
Monitoring Spread
of Agro-wells in
Jaffna using
Hi-resolution
Images
www.iwmi.org
Water for a food-secure world
IWMI and Geo Informatics
• Rainfall Estimation from
NDVI using Wavelet
Transformation
• Flood analysis using
MODIS time series
images
• Irrigated Area Mapping
for SA, Asia and Africa
• Land use and Land
cover changes in
Cambodia and
Myanmar
www.iwmi.org
Water for a food-secure world
IWMI and Geo Informatics
• Time series analysis of Boro
paddy area in West Bengal
• Mapping of Snow Cover
and Snow Melt changes in
HKH region
• -----------------------
• Managing and
Dissemination of Spatial
Data
• Development of Water Data
Portal and Sri Lanka Water
Information System
• Development of Specific
Data Portal for Specific
Project
www.iwmi.org
Water for a food-secure world
Spatial Resources
• Both proprietary and open source software
used for RS/GIS
• Database – Open Source
• Web Map Servers – Proprietary & Open
Source
• High-end Workstations for Processing
• Storage space - 50 TB
www.iwmi.org
Water for a food-secure world
Introduction
• Groundwater is the primary
source of fresh water in Jaffna
district
• Rainfall is inadequate or occurs
during one season only.
• Farmers are interested in
cultivating high-value crops which
are in turn high water-demanding
as well.
• Ground water aquifer is shallow
• Agro-wells are large-diameter
which allow larger quantities of
water to be extracted at a time for
irrigation.
• Jaffna already has a salinity
problem, which is exacerbate due
to this over-extraction of water
from agro-wells.
www.iwmi.org
Water for a food-secure world
Introduction
• Hence to preserve the quality
of groundwater in Jaffna, it is
important to properly manage
and monitoring the agro-wells
in the district.
• Immediate requirement for the
management of agro-wells for
the sustainable development
of the Jaffna District.
• For this purpose, identification
and location (geo-referencing)
of agro-wells are very
important to study and manage
the spatial distribution of agro-
wells
www.iwmi.org
Water for a food-secure world
Objectives
– To develop a
methodology to extract
agro-wells using high
resolution images
– To map agro-wells
distribution in the
whole Jaffna district
– Identify agro-well hot
spots
www.iwmi.org
Water for a food-secure world
Data
• WorldView-2 and QuickBird-2
• 12 Different dates images from 2010 and
2011
• Area ~1,200 Sq. km
• Size ~ 250 GB
www.iwmi.org
Water for a food-secure world
Methodology
Shape
Size
Multispectal Image Panchromatic Image
Pansharpening
Agriculture area Wells
Feature Probability
Training Samples
Probability Threshold
Training Sample
Feature Probability
Segmentation
Filtering
Vectorization
Probability Threshold
Multiclass Feature
Extraction
Input Image Mask Agriculture Area
Filtering
Vectorization
Geometry of Object (Well)
Single Feature Extraction
OBJECTBASED
Input Image
www.iwmi.org
Water for a food-secure world
Extracting Agriculture area
a) Original XS image b) probability for a one class c) segmented and filtered image d) segments converted
vector e) extracted vector after applying the probability threshold f) Extracted agriculture lands
www.iwmi.org
Water for a food-secure world
Extracting Agro-well
a) Agriculture masked image from pansharpen image b) Probability layer for wells c) Pixels selected using probability threshold d)
Filtered pixels of wells e) converted vector objects f) agro wells on the agriculture land after performing geometric cleaning and
template matching
www.iwmi.org
Water for a food-secure world
Results
www.iwmi.org
Water for a food-secure world
Results
www.iwmi.org
Water for a food-secure world
Results
No. of Identified Agro-wells : 19,905 (excluding Delft Island)
Agro-wells are not evenly distributed
Some areas have high agro-well density
www.iwmi.org
Water for a food-secure world
Results – Agro-well Density
www.iwmi.org
Water for a food-secure world
Results - Agro-well hot spots
www.iwmi.org
Water for a food-secure world
Validating the Result
• Filed visit for
Validation
• 646 agro-wells
randomly picked
Ground
Image
Agro-well No Agro-
well
Agro-well 581 1
No Agro-
well
64 0
www.iwmi.org
Water for a food-secure world
Validating the Result
• Error of Omission
=9.93%
• Error of
Commission=0.17%
• Overall
Accuracy=90.07%
www.iwmi.org
Water for a food-secure world
Another Application: Counting rooftops in Jaffna to model rainwater
harvesting
www.iwmi.org
Water for a food-secure world
Another Application: Counting rooftops in Jaffna to model rainwater
harvesting
www.iwmi.org
Water for a food-secure world
Discussion
• Tree shadows
confuse with well
• Wells partially or fully
covered by trees are
sometimes difficult to
be identified
www.iwmi.org
Water for a food-secure world
Discussion
• Most of the time
accuracy depends on
the quality of the
image
www.iwmi.org
Water for a food-secure world
Conclusion
• Hi-resolution image and object based
classification methodology are good
enough to extract Agro-wells
• Policy should be developed to control
digging more wells and over extraction of
water in the indentified agro-well hot spot
areas
www.iwmi.org
Water for a food-secure world
Recommendation
• To improve the accuracy
– Use LIDAR if possible
– Same date and same sensor images
• Similar method can be applied for different kind of feature
extraction in the island using High resolution images
• Possible Usage
– Number of Wells in the dry zone
– Impact on agriculture yield/production
– Optimum Ground Water Extraction
– GW Quality studies
– Rainwater Harvesting
www.iwmi.org
Water for a food-secure world
Landsat 8
THANK YOU

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Monitoring spread of Agro wells in Jaffna using hi-resolution images

  • 1. Photo:DavidBrazier/IWMIPhoto:TomvanCakenberghe/IWMIPhoto:DavidBrazier/IWMIPhoto:DavidBrazier/IWMI Water for a food-secure world www.iwmi.org Rajah Ameer, Salman Siddiqui, Aditya Sood, Herath Manthrithilake, Ranjith Ariyaratne Sri Lanka Geospatial Forum 10 June 2013 Monitoring Spread of Agro-wells in Jaffna using Hi-resolution Images
  • 2. www.iwmi.org Water for a food-secure world IWMI and Geo Informatics • Rainfall Estimation from NDVI using Wavelet Transformation • Flood analysis using MODIS time series images • Irrigated Area Mapping for SA, Asia and Africa • Land use and Land cover changes in Cambodia and Myanmar
  • 3. www.iwmi.org Water for a food-secure world IWMI and Geo Informatics • Time series analysis of Boro paddy area in West Bengal • Mapping of Snow Cover and Snow Melt changes in HKH region • ----------------------- • Managing and Dissemination of Spatial Data • Development of Water Data Portal and Sri Lanka Water Information System • Development of Specific Data Portal for Specific Project
  • 4. www.iwmi.org Water for a food-secure world Spatial Resources • Both proprietary and open source software used for RS/GIS • Database – Open Source • Web Map Servers – Proprietary & Open Source • High-end Workstations for Processing • Storage space - 50 TB
  • 5. www.iwmi.org Water for a food-secure world Introduction • Groundwater is the primary source of fresh water in Jaffna district • Rainfall is inadequate or occurs during one season only. • Farmers are interested in cultivating high-value crops which are in turn high water-demanding as well. • Ground water aquifer is shallow • Agro-wells are large-diameter which allow larger quantities of water to be extracted at a time for irrigation. • Jaffna already has a salinity problem, which is exacerbate due to this over-extraction of water from agro-wells.
  • 6. www.iwmi.org Water for a food-secure world Introduction • Hence to preserve the quality of groundwater in Jaffna, it is important to properly manage and monitoring the agro-wells in the district. • Immediate requirement for the management of agro-wells for the sustainable development of the Jaffna District. • For this purpose, identification and location (geo-referencing) of agro-wells are very important to study and manage the spatial distribution of agro- wells
  • 7. www.iwmi.org Water for a food-secure world Objectives – To develop a methodology to extract agro-wells using high resolution images – To map agro-wells distribution in the whole Jaffna district – Identify agro-well hot spots
  • 8. www.iwmi.org Water for a food-secure world Data • WorldView-2 and QuickBird-2 • 12 Different dates images from 2010 and 2011 • Area ~1,200 Sq. km • Size ~ 250 GB
  • 9. www.iwmi.org Water for a food-secure world Methodology Shape Size Multispectal Image Panchromatic Image Pansharpening Agriculture area Wells Feature Probability Training Samples Probability Threshold Training Sample Feature Probability Segmentation Filtering Vectorization Probability Threshold Multiclass Feature Extraction Input Image Mask Agriculture Area Filtering Vectorization Geometry of Object (Well) Single Feature Extraction OBJECTBASED Input Image
  • 10. www.iwmi.org Water for a food-secure world Extracting Agriculture area a) Original XS image b) probability for a one class c) segmented and filtered image d) segments converted vector e) extracted vector after applying the probability threshold f) Extracted agriculture lands
  • 11. www.iwmi.org Water for a food-secure world Extracting Agro-well a) Agriculture masked image from pansharpen image b) Probability layer for wells c) Pixels selected using probability threshold d) Filtered pixels of wells e) converted vector objects f) agro wells on the agriculture land after performing geometric cleaning and template matching
  • 12. www.iwmi.org Water for a food-secure world Results
  • 13. www.iwmi.org Water for a food-secure world Results
  • 14. www.iwmi.org Water for a food-secure world Results No. of Identified Agro-wells : 19,905 (excluding Delft Island) Agro-wells are not evenly distributed Some areas have high agro-well density
  • 15. www.iwmi.org Water for a food-secure world Results – Agro-well Density
  • 16. www.iwmi.org Water for a food-secure world Results - Agro-well hot spots
  • 17. www.iwmi.org Water for a food-secure world Validating the Result • Filed visit for Validation • 646 agro-wells randomly picked Ground Image Agro-well No Agro- well Agro-well 581 1 No Agro- well 64 0
  • 18. www.iwmi.org Water for a food-secure world Validating the Result • Error of Omission =9.93% • Error of Commission=0.17% • Overall Accuracy=90.07%
  • 19. www.iwmi.org Water for a food-secure world Another Application: Counting rooftops in Jaffna to model rainwater harvesting
  • 20. www.iwmi.org Water for a food-secure world Another Application: Counting rooftops in Jaffna to model rainwater harvesting
  • 21. www.iwmi.org Water for a food-secure world Discussion • Tree shadows confuse with well • Wells partially or fully covered by trees are sometimes difficult to be identified
  • 22. www.iwmi.org Water for a food-secure world Discussion • Most of the time accuracy depends on the quality of the image
  • 23. www.iwmi.org Water for a food-secure world Conclusion • Hi-resolution image and object based classification methodology are good enough to extract Agro-wells • Policy should be developed to control digging more wells and over extraction of water in the indentified agro-well hot spot areas
  • 24. www.iwmi.org Water for a food-secure world Recommendation • To improve the accuracy – Use LIDAR if possible – Same date and same sensor images • Similar method can be applied for different kind of feature extraction in the island using High resolution images • Possible Usage – Number of Wells in the dry zone – Impact on agriculture yield/production – Optimum Ground Water Extraction – GW Quality studies – Rainwater Harvesting
  • 25. www.iwmi.org Water for a food-secure world Landsat 8 THANK YOU