In This Space
Coastal monitoring, Santa Catarina, Sao Tome 2010 (GeoVille/WorldBank)
This product delivers shoreline or coastline status and change maps based on optical satellite imagery. The term coastline is used to describe the general outline of the sea coast (extracted from medium to low resolution satellite images), whilst shoreline is the term used to describe a more detailed and tidal influenced measure of the sea coast (extracted from very high and high resolution satellite images). While the shoreline can be directly measured from satellite imagery, the coastline identification requires additional data on geology and topography. Both can be retrieved for a single date or for a longer period, showing a status or a change.
This product delivers PDF maps or vector digital files that delineate and identify:
Known restrictions / limitations
This product is derived from optical satellite data. If the mapping area is situated in the inner tropics cloud coverages can prevent cloud free data acquisitions. In these cases radar data can be used as a substitute.
Lifecycle stage and demand
Pre-Licensing & Exploration:
Development & Production:
Geographic coverage and demand
Demand and coverage is globally at coastal regions.
OTM:032 Detecting ecosystem damages
Input data sources
Optical: VHR1, VHR2, HR1, HR2
Radar: VHR1, VHR2, HR1, HR2 (data supporting optical or solely use in case of unavailability of optical data)
Spatial resolution and coverage
< 5m (shoreline and detailed land cover / use mapping)
> 5m (coastline and less detailed land cover / use mapping)
Minimum Mapping Unit (MMU)
Minimum mapping unit (MMU) is depending on the used input data. For optical satellite data with 0.5 m spatial resolution this can be for example a MMU of 9 m² for some classes like buildings.
Accuracy / constraints
Thematic accuracy: 80-90%
Spatial accuracy: The goal would be one pixel, but depends on reference data
Accuracy assessment approach & quality control measures
Stratified random points sampling approach utilizing VHR reference or other geospatial in-situ data. Statistical confusion matrix with user’s, producer’s accuracy and kappa statistics for land cover. In-situ measurements.
Frequency / timeliness
Observation frequency: The frequency is constrained by satellite revisit and acquisition, but also processing requirements. Depending on the requirements of the customer the best suitable satellite sensor has to be chosen considering spatial / spectral resolution as well as revisit frequency and timeliness. Most of the time, long-term changes are detected in intervals of circa 10 years or longer.
Timeliness of deliverable: In case of a hazard event the timeliness is driven by the satellite sensor used as well as scale of mapping and mapped area. An average coastal zone of 60 km length can be produced and delivered within a day.
Freely available or commercially acquired depending on the sensor selected.
Delivery / output format
|Peer Reviewer:||Hatfield Consultants|
Maria Lemper, Jan Militzer
# of Pages:
Internal – Project consortium and science partners
External – ESA
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