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"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
15/02/2018 1
Application of Earth Observation (EO) Data for
Detection, Characterization and Management of
Brackish water Ponds : Case Studies from Indonesia
Tarunamulia
Research Institute for Coastal Aquaculture (RICA), Indonesia
tarunamulia@yahoo.com
Supporting Blue Growth with innovative
applications based on EU e-infrastructures
14-15 February 2018, Brussels
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
Background
 Shrimp Farming in Indonesia is important for economic
growth ( national food security & export), Potential
area 2 million hectares.
 But it faces many environmental challenges. Since
earlier 1990s, there has been continues decrease in
production due to disease outbreak.
 Other major problems identified in small-scale brackish
water aquaculture:
• Environmental conditions are not well suited for
aquaculture (mainly acid sulfate soils, peat soils
and sandy sediments)
• Farm management factors (insufficient water
supply, ponds dug too deep and cannot be drained
out, brackish water supply, algal blooms)
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
 Detail knowledge of environmental and farm management
constraints is critical to solve production problems and how
limitations can be managed.
 FAO Expert Workshop in Rome, Italy 19–21 November 2008
has proposed the use of spatial planning tools including
Geographic Information Systems (GIS), remote sensing and
mapping as an essential element for data management,
analysis, modelling and decision-making in aquaculture.
 Practical implementation of the Spatial Planning Tools relating
to aquaculture needs can be a big challenge The processes,
methods, type of information and visualization?
 Case studies : focused only on coastal land based/brackish
water aquaculture (BA)
Background
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
FAO, 2010
“Spatial scales” : Ecosystem Approach to Aquaculture
The farm/
Small cluster
Waterbody/
Watershed/Zone (aquaculture zone)
Global market-trade scale
1 : 50,000
1 : 5,000
< 1: 5,000,000
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
What is a brackishwater aquaculture system?
- None to low agro inputs (fertilizers/pesticides)
- Low stocking density (< 3 ind/m2)
- Rely on tide for water supply
- High agro inputs (artificial feed, fertilizer etc.)
- High stocking density (> 15 ind/m2)
- Rely on Pump for water supply
Extensive IntensiveSemi-intensive
“Aquaculture Atlas Production System” (AAPS), Generated from Earth
Observation (EO) products as inputs and generates “Aquaculture Products”.
Coastal Ponds detection and characterization in Indonesia
BlueBridge-FAO
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
(+) Input: land
use/cover
AAPS : Rapid/Quick
detection
Fuzzy logic + GIS : Potential
developments (conflicts)
Fuzzy logic + GIS :
Suitability/Constraints
(+) Input: land conversion:
water availability, buffer zoneEO : 1) Pond Detection
EO : 2) Pond Characterization
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
 Use of highres EO : Pleiades,
WorldView-2, QuickBird
multispectral satellite imagery
(spatial res. 2m) :
 Integration of GIS :
 Pond Layout
 Soil and water quality
 Spatial distribution of BMPs
implementations
 Pond management problems
 Pond ownership
CITY OF
PAREPARE
PINRANG REGENCY
MAKASSARSTRAIT
PARE
PARE
BAY
119°37'30"E
119°37'30"E
119°35'0"E
119°35'0"E
3°57'30"S
3°57'30"S
4°0'0"S
4°0'0"S
4°2'30"S
4°2'30"S
Application of EO for
Farm Management
(Cluster-Based Approach)
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
More detailed information
on Shrimp (fish) Farm
©Tarunamulia, et al. 2016
Nama Ismail (Owner)
Location Wiring Tasi Village
Total area 4.6 ha
Water depth 80 cm
Drying period 20 days
Lime Agr. Lime (200 kg/ha : 4 sack)
Fertilizer Urea (125 kg) SP36 (125 kg)
Species of culture Shrimp, Milkfish
Feed Berlin 25 kg
Production Milkfish (4000 kg); Shrimp
(35 kg)
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
Low salinity ---- Low DO : Difficulty in water exchange
High salinity ---- Low DO : Pond cannot be drained even during low tide
(Problem with pond drying).
Dissolved Oxygen in
Pond water (mg/L)
Value
High : 13
Low : 3.0
Salinity of Pond
Water (ppt)
Value
High : 20
Low : 2.5
Legend
Road
Main Road
River
Sea
Canal
Pond Compartment
Legend
Road
Main Road
River
Sea
Canal
Pond Compartment
Detailed Spatio-temporal variation of water quality
 Difficulty in water exchange leads to slow
decomposition of organic matter. (anaerobic
condition)
 Increased competition, promoting blooms of
unfavorable algal species
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
Additional Digital elevation Model (DEM) data can help
improve visualization and Inventory of Basic
Pond Engineering and Infrastructure
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
Peat soils Pond units with
beneficial algae blooms
Pond units with high soil acidity
Shallow pond bed
Abandoned land nearby shrimp
farming with high soil acidity
General Assessment of Land Quality of BA
119°38'30"E
119°38'30"E
119°38'0"E
119°38'0"E
119°37'30"E
119°37'30"E
4°20'30"S
4°20'30"S
4°21'0"S
4°21'0"S
4°21'30"S
4°21'30"S
4°22'0"S
4°22'0"S
0 560 1,120280
Meters
STSA (%)
EO data improve spatial prediction of key
environmental variables
P- available (P-PO4) (%)
Tinggi/High : 0.045
Rendah/Low : 0
Legend
STSA
Value
High : 3.579
Low : 0
"Supporting Blue Growth with innovative applications based
on EU e-infrastructures”, 14-15 February 2018, Brussels
Summary
• To ensure a maximum adoption of EO products
and analysis by spatial environmental planners
and aquaculture stakeholders, we must take into
account : practicality, accuracy & simplicity
• The successful application/adoption of EO data or
products will very much depend on the
stakeholders or potential beneficiary needs
• Poor understanding of the technology (both
strength and limitations) could be solved by
providing of training to local coastal/marine
spatial planners, scientists, NGOs etc.
15/02/2018 15
T H A N K Y O U
Field school (Shrimp farmers/
Extension officers) Album of fine-scale
thematic maps
Dissemination of research finding
to various aquaculture stakeholders
Stakeholders Feedbacks
Bureau of Fisheries
THANK YOU

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Application of Earth Observation (EO) Data for Detection, Characterization and Management of Brackish water ponds: Case Studies from Indonesia

  • 1. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels 15/02/2018 1 Application of Earth Observation (EO) Data for Detection, Characterization and Management of Brackish water Ponds : Case Studies from Indonesia Tarunamulia Research Institute for Coastal Aquaculture (RICA), Indonesia tarunamulia@yahoo.com Supporting Blue Growth with innovative applications based on EU e-infrastructures 14-15 February 2018, Brussels
  • 2. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels Background  Shrimp Farming in Indonesia is important for economic growth ( national food security & export), Potential area 2 million hectares.  But it faces many environmental challenges. Since earlier 1990s, there has been continues decrease in production due to disease outbreak.  Other major problems identified in small-scale brackish water aquaculture: • Environmental conditions are not well suited for aquaculture (mainly acid sulfate soils, peat soils and sandy sediments) • Farm management factors (insufficient water supply, ponds dug too deep and cannot be drained out, brackish water supply, algal blooms)
  • 3. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels  Detail knowledge of environmental and farm management constraints is critical to solve production problems and how limitations can be managed.  FAO Expert Workshop in Rome, Italy 19–21 November 2008 has proposed the use of spatial planning tools including Geographic Information Systems (GIS), remote sensing and mapping as an essential element for data management, analysis, modelling and decision-making in aquaculture.  Practical implementation of the Spatial Planning Tools relating to aquaculture needs can be a big challenge The processes, methods, type of information and visualization?  Case studies : focused only on coastal land based/brackish water aquaculture (BA) Background
  • 4. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels FAO, 2010 “Spatial scales” : Ecosystem Approach to Aquaculture The farm/ Small cluster Waterbody/ Watershed/Zone (aquaculture zone) Global market-trade scale 1 : 50,000 1 : 5,000 < 1: 5,000,000
  • 5. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels What is a brackishwater aquaculture system? - None to low agro inputs (fertilizers/pesticides) - Low stocking density (< 3 ind/m2) - Rely on tide for water supply - High agro inputs (artificial feed, fertilizer etc.) - High stocking density (> 15 ind/m2) - Rely on Pump for water supply Extensive IntensiveSemi-intensive
  • 6. “Aquaculture Atlas Production System” (AAPS), Generated from Earth Observation (EO) products as inputs and generates “Aquaculture Products”. Coastal Ponds detection and characterization in Indonesia BlueBridge-FAO
  • 7. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels (+) Input: land use/cover AAPS : Rapid/Quick detection Fuzzy logic + GIS : Potential developments (conflicts) Fuzzy logic + GIS : Suitability/Constraints (+) Input: land conversion: water availability, buffer zoneEO : 1) Pond Detection EO : 2) Pond Characterization
  • 8. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels  Use of highres EO : Pleiades, WorldView-2, QuickBird multispectral satellite imagery (spatial res. 2m) :  Integration of GIS :  Pond Layout  Soil and water quality  Spatial distribution of BMPs implementations  Pond management problems  Pond ownership CITY OF PAREPARE PINRANG REGENCY MAKASSARSTRAIT PARE PARE BAY 119°37'30"E 119°37'30"E 119°35'0"E 119°35'0"E 3°57'30"S 3°57'30"S 4°0'0"S 4°0'0"S 4°2'30"S 4°2'30"S Application of EO for Farm Management (Cluster-Based Approach)
  • 9. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels More detailed information on Shrimp (fish) Farm ©Tarunamulia, et al. 2016 Nama Ismail (Owner) Location Wiring Tasi Village Total area 4.6 ha Water depth 80 cm Drying period 20 days Lime Agr. Lime (200 kg/ha : 4 sack) Fertilizer Urea (125 kg) SP36 (125 kg) Species of culture Shrimp, Milkfish Feed Berlin 25 kg Production Milkfish (4000 kg); Shrimp (35 kg)
  • 10. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels Low salinity ---- Low DO : Difficulty in water exchange High salinity ---- Low DO : Pond cannot be drained even during low tide (Problem with pond drying). Dissolved Oxygen in Pond water (mg/L) Value High : 13 Low : 3.0 Salinity of Pond Water (ppt) Value High : 20 Low : 2.5 Legend Road Main Road River Sea Canal Pond Compartment Legend Road Main Road River Sea Canal Pond Compartment Detailed Spatio-temporal variation of water quality
  • 11.  Difficulty in water exchange leads to slow decomposition of organic matter. (anaerobic condition)  Increased competition, promoting blooms of unfavorable algal species
  • 12. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels Additional Digital elevation Model (DEM) data can help improve visualization and Inventory of Basic Pond Engineering and Infrastructure
  • 13. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels Peat soils Pond units with beneficial algae blooms Pond units with high soil acidity Shallow pond bed Abandoned land nearby shrimp farming with high soil acidity General Assessment of Land Quality of BA
  • 14. 119°38'30"E 119°38'30"E 119°38'0"E 119°38'0"E 119°37'30"E 119°37'30"E 4°20'30"S 4°20'30"S 4°21'0"S 4°21'0"S 4°21'30"S 4°21'30"S 4°22'0"S 4°22'0"S 0 560 1,120280 Meters STSA (%) EO data improve spatial prediction of key environmental variables P- available (P-PO4) (%) Tinggi/High : 0.045 Rendah/Low : 0 Legend STSA Value High : 3.579 Low : 0
  • 15. "Supporting Blue Growth with innovative applications based on EU e-infrastructures”, 14-15 February 2018, Brussels Summary • To ensure a maximum adoption of EO products and analysis by spatial environmental planners and aquaculture stakeholders, we must take into account : practicality, accuracy & simplicity • The successful application/adoption of EO data or products will very much depend on the stakeholders or potential beneficiary needs • Poor understanding of the technology (both strength and limitations) could be solved by providing of training to local coastal/marine spatial planners, scientists, NGOs etc. 15/02/2018 15
  • 16. T H A N K Y O U Field school (Shrimp farmers/ Extension officers) Album of fine-scale thematic maps Dissemination of research finding to various aquaculture stakeholders Stakeholders Feedbacks Bureau of Fisheries THANK YOU