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🛰 Satellite(s)

Ikonos, Quickbird, Landsat 4 and 5 Thematic mapper, Envisat RA2 and MERIS, ERS-1/ERS2 SAR, OrbView2 SeaWIFS, NOAA 6-17 AVHRR 1-3, Aqua MODIS, Landsat 7 ETM+, Aquarius SAC-D, Quikscat Seawinds, EO-1 Hyperion, HRG.

📊 Monitoring element

Satellite/sensor dependent (e.g., sea surface temperature, sea surface water reflectance).

🧰 Description technique

Methods focusses focus on the following aspects:

  • monitoring of marine habitats & environment biodiversity, e.g., bathymetry, ocean colour, sea surface temperature, surface wind vector, sea surface height, sea surface salinity;

  • detection of oil spills;

  • coastal land use change;

  • ships movement.

📏 Accuracy / Resolution

Spatial resolution varies depending on satellite between 4 m and 50 km.

🗺 Case study

Kachelriess et al. (2014) provide references to various location worldwide (e.g., Borneo, Fiji )
Great Barrier, Australia (Walshe et al. 2014).

Tip

Benefits

  • Remote sensed based methods are relevant to the monitoring of biodiversity surrogates, e.g. ecological (e.g., primary productivity) and oceanographic (e.g., sea surface temperature) parameters;

  • Remote sensing data can an provide initial information on which field sampling can be based to complement monitoring.

Note

Limitations

  • Ocean remote sensing techniques are primarily limited to upper ocean layers (<27 m);

  • Resolution of imagery might fail to capture the complexity of key habitats (e.g., coral reefs);

  • Acquisition of high-resolution imagery induces costs.

Info

Applicability for Northland

Yes very likely.

Northland has several marine habitats and reserves. Freely available imagery resolution might limit local applications. Higher resolution imagery could be acquired in this case (e.g., UAV or commercial).

Techniques applying optical data will be limited in coverage and temporal granularity by the persistent cloud cover in the region, particularly during the winter months. Mature cloud-masking techniques are directly available for open access multispectral data (e.g. Landsat and Sentinel-2). When using commercial data, care must be taken to ensure that there is sufficiently cloud free imagery available, as cloud masking is not as mature, and ordering a large volume of imagery to ensure complete cloud free coverage between multiple observations can become cost prohibitive.

Publication references

📚 Kachelriess, D., Wegmann, M., Gollock, M., Pettorelli, N., 2014. The application of remote sensing for marine protected area management. Ecol. Indic. 36, 169–177,

🔗 https://www.sciencedirect.com/science/article/pii/S1470160X13002653

📚 Walshe, T., MacNeil, A., Archer, A., Sweatman, H., Lawrey, E., Bay, L., Addison, P., Anthony, K., 2014. Integrated Monitoring, Modelling and Management of the Great Barrier Reef World Heritage Area – Demonstration Case for the Mackay Region, Final Report to the Department of the Environment December 2014. Australian Institute of Marine Science.

🔗 https://www.environment.gov.au/system/files/resources/d7cc424b-4968-4e65-85b1-14f1c4801d3b/files/integrated-monitoring-demo-case-mackay.pdf

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