Dissolved oxygen (DO)
Satellite(s)Aqua MODIS and Suomi-NPP VIIRS. | Monitoring elementWater reflectance. |
---|---|
Description techniqueKim et al. (2020) estimated coastal water dissolved oxygen using a multiple regression model based on the comparison of in situ-DO observation data with satellite-derived water temperature and Chlorophyl-a concentration. | Accuracy / ResolutionAbsolute Relative Error, 1-ARE (89.2%), and Index of Agreement, IOA (78.6%). Spatial resolution 1 km. |
Case studyEastern coastal region of the Yellow Sea, Korea (Kim et al. 2020). | |
Also fits domainFreshwater | |
Benefits
| Limitations
|
Applicability for NorthlandYes, likely. Remote sensed data would need to be ground-truthed to confirm applicability/accuracy in the Northland context. 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 referencesKim YH, Son S, Kim H-C, Kim B, Park Y-G, Nam J, Ryu J. 2020. Application of satellite remote sensing in monitoring dissolved oxygen variabilities: A case study for coastal waters in Korea. Environment international. https://www.sciencedirect.com/science/article/pii/S0160412019327291 | |
Other referencesSharaf El Din E, Zhang Y, Suliman A. 2017. Mapping concentrations of surface water quality parameters using a novel remote sensing and artificial intelligence framework. International Journal of Remote Sensing. 38(4):1023-1042. doi:10.1080/01431161.2016.1275056. https://www.tandfonline.com/doi/citedby/10.1080/01431161.2016.1275056?scroll=top&needAccess=true |