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Original Articles

Water, water, but not everywhere: analysis of shrinking water bodies using open access satellite data

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Pages 326-338 | Received 27 Sep 2020, Accepted 11 Nov 2020, Published online: 26 Nov 2020
 

ABSTRACT

The importance of water cannot be overstated. Not only it is essential for life, it is a vital resource for sustainable development. Water resource management is pivotal to ensure water security and sustainability. Having such water monitoring resources is challenging, especially in less developed countries that have limited resources. With the advancement in technology and availability of open-access satellite data, there are opportunities to reinforce the abilities of researchers and decision-makers to monitor and identify changes in water resources. In this work, we describe an easy to implement workflow for estimation of surface area of waterbodies using open-access data from Sentinel-2 satellites. The method uses Normalized Difference Water Index (NDWI) for surface water detection that is used to estimate the surface area of the waterbody and analyse changes over a period of time. We develop four case studies based on waterbodies in Spain, Morocco, and India to highlight how satellite imaging can effectively help in estimating and visualizing the changes in water surface area. Temperature and rainfall data are analysed to understand the impact of climate change on water resources due to increase in temperature and changes in precipitation patterns. The proposed method is validated by testing it on four additional lakes and comparing the results with publicly available data. We show how open-access satellite data can potentially be used for regular monitoring of waterbodies as well as filling the knowledge gap to assist in decision making at both local and regional levels.

Acknowledgments

We would like to thank the developer team as well as the contributors of eo-learn Python packages for designing open access tools that make it easier for everyone to access and analyse spatio-temporal image sequences.

Disclosure statement

The authors declare that there is no conflict of interest.

Notes

2. https://qz.com/india/1,657,760/satellite-images-show-why-chennai-mumbai-bengaluru-went-dry/

3. https://sentinel.esa.int/web/sentinel/missions/sentinel-2/overview

4. https://eos.com/lv/

6. https://newsmeter.in/satellite-images-of-hyds-osmansagar-show-reservoir-receives-no-inflow-to-the-lake-despite-heavy-rains/

7. https://waterdatafortexas.org/reservoirs/statewide

Additional information

Funding

This research received no external funding.

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