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IMAGERY INTERPRETATION FOR
COASTAL AND MARINE SPATIAL
PLANNING
Prepared for:
2012 ASPRS Conference
Keith B. VanGraafeiland,
Stephen T. Viada,
M. John Thompson,
Brian Balcom,
and
George Mcleod
Acknowledgments
Anadarko Petroleum Corporation (APC)
• John Peffer
• Mario Rassul
• Karina Pena
Purpose
• Remote Sensing Data
– satellite imagery
– side-scan sonar
• GIS habitat mapping
– Imagery classification
– Imagery interpretation
• Environmental sensitivity analysis methods
– Identify features and areas of concern for
avoidance and to minimize environmental impacts
• These data can be used to produce:
– Environmental Sensitivity Index (ESI) maps,
– thematic maps, and
– statistical summaries (areal and linear
dimensions) of habitat type
• Support:
– Environmental Impact Assessments (EIAs),
– Environmental Impact Studies (EISs),
– Baseline Environmental Baseline Surveys (EBSs),
– monitoring plans, and
– Spill contingency planning.
CASE STUDY
Northern Mozambique,
Africa
• A 2D and 3D geophysical
survey program was
proposed within shallow
waters of the Quirimbas
Archipelago, Mozambique
Study purpose:
• Locate seafloor features
warranting environmental
protection from seismic
operations
• Develop a mitigation plan to
minimize potential
environmental impact
Study Objectives
1. Characterize and map marine habitats
2. Identify physical areas of concern
3. Develop a mitigation plan
4. Implement a field survey to delineate
areas of environmental concern
• Environmental Impact Assessment
(EIA), with an approved environmental
impact mitigation plan
• Environmental Management Plan
(EMP)
Characterization and Mapping of
Shallow Water Marine Habitats
• Mangrove-dominated communities
• Submerged aquatic vegetation
• Bare sand and mud substrates
• Shallow and emergent hard substrates
• Shallow and emergent coral
communities
• Deepwater coral communities
Objective 1
A set of high resolution remote sensing
(satellite imagery) tiles of the coastal and
nearshore waters of the project area were
used to create a georeferenced mosaic
Habitat categories were identified and coded as
colored polygons, creating a georeferenced
habitat map
Environmental Sensitivity Index (ESI)
methods were used to determine the
relative sensitivity of each identified
habitat category
Habitat Sensitivity Analysis
Objective 2
Sources of environmental impact included
• seismic sound pressure waves
• physical contact with receiver cables and
autonomous receivers
Potential Levels of Impact Severity
Impact Severity Consequence
Negligible
Negligible or little harm to sensitive resources, with reversible effects
Little or no environmental exposure
Minor
Low, minor environmental impact
Exposure limited to immediate site
Moderate
Medium, moderate environmental impact
Incident potentially contaminating local resources
Significant
Major environmental impact (see text below)
Environmental incident resulting in contamination of local resources
Catastrophic
Catastrophic disaster, major environmental impact
Major environmental incident causing significant regional damage to the environment
Scale of Environmental Sensitivity
1
Negligible
2
Minor
3
Moderate
4
Significant
5
Catastrophic
Severity of Impact
––––––––►
Objective 3
From the ESI results, an impact mitigation
strategy was designed to avoid or
minimize potential impacts to sensitive
marine resources and habitats
Develop a Mitigation Plan for the Protection of
the Identified Areas of Concern
Mitigation measures consisted of acoustic
exclusion zones (“buffer zones”),
considering proposed activity scenarios
Objective 4
A field survey was designed and
implemented to accurately and
efficiently identify and delineate areas
that met sensitive habitat criteria
Field Survey
Field Survey Methods
• a preliminary mapping
survey of selected segments
with digital side-scan sonar
• visual assessment
(groundtruthing) of selected
seafloor features by divers
Survey Data Analysis
Image showing sand
waves with seagrasses
and macroalgae
Image showing dense
seagrass beds
on soft substrate
Survey Data Analysis
The processed sonar
data swath was
superimposed on the
satellite mosaic for
interpretation
Each proposed seismic
survey trackline was
superimposed on the
corresponding satellite
mosaic
Survey Data Analysis
Results obtained
from
groundtruthing
selected targets
provided
supportive
information for
seafloor
interpretation
Selected
groundtruth
targets were
plotted, and areas
meeting selection
criteria were
provided a buffer
of 75 m
The final product
comprised a
color-coded
overlay of the
surveyed trackline
segment
Survey Results
• 250 line km were surveyed
• 90 km were in water depths <2 m
• 42 km were designated as sensitive habitat
• 118 km did not contain sensitive habitat or were
too deep to survey
Conclusions
• Sensitive shallow water habitats were
mapped within the project area
• Acoustic exclusion areas (buffers) for
selected resources were implemented
The methods provide a practical and
efficient means to characterize and
map seafloor habitats within large
geographic areas, and may be applied
to other activity scenarios and
geographic areas

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Imagery Interpretation for Coastal and Marine Spatial Planning

  • 1. IMAGERY INTERPRETATION FOR COASTAL AND MARINE SPATIAL PLANNING Prepared for: 2012 ASPRS Conference Keith B. VanGraafeiland, Stephen T. Viada, M. John Thompson, Brian Balcom, and George Mcleod
  • 2. Acknowledgments Anadarko Petroleum Corporation (APC) • John Peffer • Mario Rassul • Karina Pena
  • 3. Purpose • Remote Sensing Data – satellite imagery – side-scan sonar • GIS habitat mapping – Imagery classification – Imagery interpretation • Environmental sensitivity analysis methods – Identify features and areas of concern for avoidance and to minimize environmental impacts
  • 4. • These data can be used to produce: – Environmental Sensitivity Index (ESI) maps, – thematic maps, and – statistical summaries (areal and linear dimensions) of habitat type • Support: – Environmental Impact Assessments (EIAs), – Environmental Impact Studies (EISs), – Baseline Environmental Baseline Surveys (EBSs), – monitoring plans, and – Spill contingency planning.
  • 5. CASE STUDY Northern Mozambique, Africa • A 2D and 3D geophysical survey program was proposed within shallow waters of the Quirimbas Archipelago, Mozambique Study purpose: • Locate seafloor features warranting environmental protection from seismic operations • Develop a mitigation plan to minimize potential environmental impact
  • 6. Study Objectives 1. Characterize and map marine habitats 2. Identify physical areas of concern 3. Develop a mitigation plan 4. Implement a field survey to delineate areas of environmental concern • Environmental Impact Assessment (EIA), with an approved environmental impact mitigation plan • Environmental Management Plan (EMP)
  • 7. Characterization and Mapping of Shallow Water Marine Habitats • Mangrove-dominated communities • Submerged aquatic vegetation • Bare sand and mud substrates • Shallow and emergent hard substrates • Shallow and emergent coral communities • Deepwater coral communities Objective 1
  • 8. A set of high resolution remote sensing (satellite imagery) tiles of the coastal and nearshore waters of the project area were used to create a georeferenced mosaic Habitat categories were identified and coded as colored polygons, creating a georeferenced habitat map
  • 9. Environmental Sensitivity Index (ESI) methods were used to determine the relative sensitivity of each identified habitat category Habitat Sensitivity Analysis Objective 2 Sources of environmental impact included • seismic sound pressure waves • physical contact with receiver cables and autonomous receivers
  • 10. Potential Levels of Impact Severity Impact Severity Consequence Negligible Negligible or little harm to sensitive resources, with reversible effects Little or no environmental exposure Minor Low, minor environmental impact Exposure limited to immediate site Moderate Medium, moderate environmental impact Incident potentially contaminating local resources Significant Major environmental impact (see text below) Environmental incident resulting in contamination of local resources Catastrophic Catastrophic disaster, major environmental impact Major environmental incident causing significant regional damage to the environment Scale of Environmental Sensitivity 1 Negligible 2 Minor 3 Moderate 4 Significant 5 Catastrophic Severity of Impact ––––––––►
  • 11. Objective 3 From the ESI results, an impact mitigation strategy was designed to avoid or minimize potential impacts to sensitive marine resources and habitats Develop a Mitigation Plan for the Protection of the Identified Areas of Concern Mitigation measures consisted of acoustic exclusion zones (“buffer zones”), considering proposed activity scenarios
  • 12. Objective 4 A field survey was designed and implemented to accurately and efficiently identify and delineate areas that met sensitive habitat criteria Field Survey Field Survey Methods • a preliminary mapping survey of selected segments with digital side-scan sonar • visual assessment (groundtruthing) of selected seafloor features by divers
  • 13. Survey Data Analysis Image showing sand waves with seagrasses and macroalgae Image showing dense seagrass beds on soft substrate
  • 14. Survey Data Analysis The processed sonar data swath was superimposed on the satellite mosaic for interpretation Each proposed seismic survey trackline was superimposed on the corresponding satellite mosaic
  • 15. Survey Data Analysis Results obtained from groundtruthing selected targets provided supportive information for seafloor interpretation Selected groundtruth targets were plotted, and areas meeting selection criteria were provided a buffer of 75 m The final product comprised a color-coded overlay of the surveyed trackline segment
  • 16. Survey Results • 250 line km were surveyed • 90 km were in water depths <2 m • 42 km were designated as sensitive habitat • 118 km did not contain sensitive habitat or were too deep to survey
  • 17. Conclusions • Sensitive shallow water habitats were mapped within the project area • Acoustic exclusion areas (buffers) for selected resources were implemented The methods provide a practical and efficient means to characterize and map seafloor habitats within large geographic areas, and may be applied to other activity scenarios and geographic areas