Coastal resource mapping of mangroves, coral reefs, wetlands, and sandbanks
Challenge ID |
C-CORE_OFF2.13 |
Title |
Coastal resource mapping of mangroves, coral reefs, wetlands, and sandbanks |
Challenge originator: |
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General Description |
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What data/products do you use? |
Data currently collected through shoreline, small boat, and dive surveys but satellite imagery has been used to help with broad classification |
When do you use this kind of dataset? |
When offshore production transported to shore via pipeline, or operation requires construction of a terminal and has associated shipping with potential of oil spills in nearshore environment |
What are your actual limitations and do you have a work around? |
EO products have been used in some cases but are expensive. Using EO products for this would still require on-the-ground validation, but if area is extensive, assessment in this way would save time and could easily be repeated on a seasonal basis. |
Needs and expectations on EO data |
High resolution maps that will allow characterization/ classification of inter and sub-tidal and nearshore environment
High resolution maps that will allow characterization/
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Challenge classification |
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Pre license |
1 |
Exp. |
1 |
Dev. |
1 |
Prod. |
1 |
Decom. |
1 |
Geographic context/ restrictions |
- South China Sea, Falkland Islands, Myanmar |
Topographic classification / Offshore classification |
Shallow Water |
Activity impacted/concerned |
Strategic decision enabler |
Technology Urgency |
Mid-Term (5-10 years) |
Information requirements |
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Update frequency |
One-off, perhaps every few years might be helpful
One-off for initial assessment and monthly for monitoring purposes |
Temporal resolution |
Seasonal |
Spatial resolution |
1m |
Data quality |
High |
Data Coverage and extent |
District area, vessel route and onshore site |
Example format |
High resolution image |
Timeliness |
Reference data - timeliness not important |
Existing standards |
Huang, Weigen, Fu, Bin. 2002. Remote Sensing for Coastal Area Management. Laboratory of Ocean Dynamic Processes and Satellite Oceanography Second Institute of Oceanography State Oceanic Administration Hangzhou, People’s Republic of China in China. Coastal Management, 30:271–276, 2002.
UNEP, 2005. Wilkinson, C., DeVantier, L., Talaue-McManus, L., Lawrence, D. and D. Souter. South China Sea, GIWA Regional assessment 54. University of Kalmar, Kalmar, Sweden.
BOBLME (2011) Country report on pollution – Myanmar. BOBLME-2011-Ecology-14 |
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