Water quality / small water bodies

Satellite(s)

RapidEye

Monitoring element

Water spectral reflectance

Satellite(s)

RapidEye

Monitoring element

Water spectral reflectance

Description technique

Yigit Avdan et al. (2019) assessed water quality in a small dam using high-resolution satellite data from RapidEye and in-situ measurements collected a few days apart. Different algorithms were evaluated using Pearson correlation coefficients for electrical
conductivity, total dissolved soils, water transparency, water turbidity, depth, suspended
particular matter, and chlorophyll-a.

Accuracy / Resolution

Highest correlation between red-edge band and water turbidity (r2 = 0.92).

Case study

Borabey Dam, Eskisehir, Turkey.

Benefits

The use of both high-resolution remote sensing imagery and red-edge portion of the electromagnetic spectrum allow for the monitoring of several water quality parameters in small water areas.

Limitations

  • Improvements could be gained from having in-situ measurements the same day than the images.

  • A higher number of in-situ measurements and consideration of other water quality parameters may be needed to improve the results of the study.

Applicability for Northland

Yes, likely.

An important limitation would come from the need to acquire high-resolution imagery, which at the moment is not available freely, and would therefore induce monitoring costs.

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 reference

Yigit Avdan Z, Kaplan G, Goncu S, Avdan U. 2019. Monitoring the Water Quality of Small Water Bodies Using High-Resolution Remote Sensing Data. ISPRS International Journal of Geo-Information. 8(12):553.

https://www.mdpi.com/2220-9964/8/12/553

Other references

Fisher JRB, Acosta EA, Dennedy-Frank PJ, Kroeger T, Boucher TM. 2018. Impact of satellite imagery spatial resolution on land use classification accuracy and modeled water quality. Remote Sensing in Ecology and Conservation. 4(2):137-149. doi: 10.1002/rse2.61.

https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.61