Future GEO AquaWatch Webinars

Water Talks: Advancing Diversity and Equity in Aquatic Remote Sensing

Machine Learning for Remote Sensing-based Water Quality Monitoring: Lake Victoria

January 14, 2025  14:00 UTC

Wanjohi Christopher, DataLyteGreen

Abstract: Water quality monitoring is essential for the sustainable management of freshwater resources, particularly in regions like Africa where lakes are crucial for both human consumption and ecosystem health. Lake Victoria, with a surface area of 68,800 square kilometers, bordered by Kenya, Tanzania, and Uganda, supports over 30 million people, making it one of the world’s most densely populated rural regions. Its inhabitants depend on the lake for various aspects of their livelihoods, including fishing, agriculture, and industrial uses. Water quality in Lake Victoria has declined greatly in the past few decades. While previous studies have separately utilized either remote sensing or in situ measurements for water quality assessment, there remains a gap in research combining both data sources. This study employs Machine learning for prediction of water quality parameters Turbidity, Total suspended solids and Chlorophyll-a by integrating the in situ data from the lake with remote sensing data using Google Earth Engine, improving the accuracy.
Bio: Wanjohi Christopher is Co-lead at Google Earth Engine Community Nairobi. He is also MSc Scholar from School of Engineering, Catholic University Of America. With expertise in data, he has led a project like CarbonCane and also collaborated with UNEP-WWQA on Earth Observation pathway for SDG indicator 6.3.2 for Lake Tanganyika. Christopher’s research interest lies in GeoAI and climate change, where he applies machine learning techniques to geospatial data.
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Assessing southern-Brazil extreme rainfall effects on sediment transport and Water Quality on the world’s largest chocked lagoon

February 25, 2025, 14:00 UTC

by Sergio Mauricio Molano Cárdenas, Universidade Federal do Rio Grande do Su

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Australia: +61 2 8355 1050
Austria: +43 1 2060 92967
Belgium: +32 28 93 7018
Brazil: +55 11 4118-4897
Bulgaria: +359 2 906 0605
Canada: +1 (647) 497-9391
Chile: +56 2 3214 9680
Colombia: +57 1 600 9953
Czech Republic: +420 2 55 71 95 02
Denmark: +45 32 72 03 82
Finland: +358 923 17 0568
France: +33 430 001 241
Germany: +49 721 9881 4161
Greece: +30 21 0 300 2583
Hungary: +36 1 933 3699
Ireland: +353 16 572 651
Israel: +972 3 376 3070
Italy: +39 0 230 57 81 42
Luxembourg: +352 34 2080 9219
Malaysia: +60 3 7724 4059
Mexico: +52 55 1500 3597
Netherlands: +31 207 941 377
New Zealand: +64 9 280 6302
Norway: +47 21 93 37 51
Panama: +507 308 4334
Peru: +51 1 642 9424
Romania: +40 31 780 1158
South Africa: +27 11 259 4924
Spain: +34 932 75 2004
Sweden: +46 853 527 836
Switzerland: +41 435 5015 61
Turkey: +90 212 900 4807
United Kingdom: +44 330 221 0088