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Using NDVI from MODIS to Monitor Duckweed Bloom in Lake Maracaibo, Venezuela

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  • Lawrence Kiage
  • Nan Walker

Abstract

Four summer time-series (2003–2006) of Normalized Difference Vegetation Index (NDVI) derived from MODIS imagery were used to investigate duckweed blooms and other floating vegetation in Lake Maracaibo, Venezuela. Preliminary findings revealed the presence of duckweed and floating vegetation in the Lake during summer in varying amounts (0–11%) that appeared to be related to satellite-derived rainfall anomalies from the Special Sensor Microwave/Imager (SMM/I) during the previous month. The first appearance of duckweed in abundance in 2004 and its reappearance at similar levels in 2006 may indicate a response to increasing nutrient loading in the lake. The duckweed rafts may be an environmental warning of imminent ecological disaster that needs to be mitigated. MODIS data, with its daily repeat cycle and 250 m pixels showed great potential for monitoring floating vegetation in the lake. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Lawrence Kiage & Nan Walker, 2009. "Using NDVI from MODIS to Monitor Duckweed Bloom in Lake Maracaibo, Venezuela," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1125-1135, April.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:6:p:1125-1135
    DOI: 10.1007/s11269-008-9318-9
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    References listed on IDEAS

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    1. Paul Omute & Rob Corner & Joseph Awange, 2012. "The use of NDVI and its Derivatives for Monitoring Lake Victoria’s Water Level and Drought Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1591-1613, April.
    2. Xian Guan & Jonathan Li & William Booty, 2011. "Monitoring Lake Simcoe Water Clarity Using Landsat-5 TM Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2015-2033, June.
    3. Shengyuan Zhu & Yinglei Wu & Xiaoshuang Ma, 2023. "Deep Learning-Based Algal Bloom Identification Method from Remote Sensing Images—Take China’s Chaohu Lake as an Example," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    4. Lawrence Kiage & Joyce Obuoyo, 2011. "The Potential Link Between El Nino and Water Hyacinth Blooms in Winam Gulf of Lake Victoria, East Africa: Evidence from Satellite Imagery," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3931-3945, November.
    5. Hone-Jay Chu & Mạnh Van Nguyen & Lalu Muhamad Jaelani, 2020. "Satellite-Based Water Quality Mapping from Sequential Simulation with Parameter Outlier Removal," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 311-325, January.

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