1 Lake Eutrophication Change Detection for the Management of Water Resources Michelle L. Aten and Greg Easson University of Mississippi Geoinformatics.

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Presentation transcript:

1 Lake Eutrophication Change Detection for the Management of Water Resources Michelle L. Aten and Greg Easson University of Mississippi Geoinformatics Center Multi-Temp 2005

2 Partners NASA World Summit for Sustainable Development Objectives Module 3 – Disaster Management and Conflicts Natural and Human Induced Disasters Water Resources European Space Agency TIGER initiative South African Division of Water Affairs and Forestry National Eutrophication Monitoring Programme

3 Overview Eutrophication Tropic level of lake increases Nutrient enrichment, especially phosphorus Available oxygen decreases May become toxic Unsuitable for consumption May lead to growth of aquatic macrophytes

4 Overview Anthropogenic Causes Agricultural practices Industrial activity Residential development Effects on Society Requires filtering of water supply May result in water supply interruption Impacts recreational uses of reservoir

5 Benefits System for advanced warning of eutrophication Decision support for policy makers Alternatives for nations without water resource monitoring infrastructures

6 Deliverables Comprehensive watershed characterization Web enabled GIS data portal Educational materials Operational solution for resource monitoring Joint publications and presentations

7 Study Site Hartbeespoort Lake, South Africa 20 sq km 50 km N Johannesburg 35 km W Pretoria

8 Data Earth Observation Data ASTER MODIS Landsat 5 TM Landsat 7 ETM+ SRTM ASAR MERIS Field Data Surface Sample: Chlorophyll a Integrated 0-5m Sample: Chlorophyll a Field verification GIS Data Soils DEM Classification

9 Watershed Models USDA – National Sedimentation Lab AnnAGNPS – Annualized Agricultural Non- Point Source NOAA N-SPECT – Non-Point Source Pollution and Erosion Comparison Tool

10 Selection Criteria International scope Requires inputs from available data Reliability Ease of Use Iterative analysis tools Cost effective Validation options

11 Basin Characterization Input Data DEM Soils Maps In-situ Data Land Use/Land Cover Maps Output Data Hydrology Nutrients

12 Land Use / Land Cover

13 ASTER: April 18, 2004

14 Chlorophyll a: Surface

15 Chlorophyll a: 0-5m

16 Acknowledgements Division of Water Affairs and Forestry, National Eutrophication Monitoring Programme NASA, Stennis Space Center European Space Agency

17 The University of Mississippi Geoinformatics Center