Future GEO AquaWatch Webinars
Water Talks: Advancing Diversity and Equity in Aquatic Remote Sensing
Wetland Remote Sensing: Methodological review and recommendations for Chilika, India
November 19, 2024 14:00 UTC (Postponed. New date to be announced soon)
B Goutami, XIM University, Odisha India
ABSTRACT: Chilika, the largest brackish water lagoon in Asia, has been designated as a wetland of international significance by the Ramsar Convention in 1981. Chilika is known for its ecological diversity, including Irrawaddy dolphins and migratory birds, as well as its impact on climate change adaptation. However, it is now facing several environmental issues, such as sediment load, deterioration of water quality, aquatic vegetation dynamics, and land use and land cover shifts. Conventional approaches of field sampling are restricted by substantial cost, time constraints, predictive accuracy, and the inability to monitor spatiotemporal variation of a large dynamic wetland like Chilika. The objective of this study is to comprehensively analyze the remote sensing (RS) techniques employed in Chilika, identify the strengths and limitations of existing research methodologies, and emphasize the prospective areas for future research. The study highlights that the primary satellites used in the study region are Landsat, AVIRIS-NG, and IRS. Studies explored mainly water quality parameters, biological diversity, and physical parameters, interpreting the seasonal and interannual fluctuation in the environment. Despite the initial setup expenses, researchers recognize remote sensing as a cost-effective method for conducting comprehensive and long-term environmental studies of wetlands. Although advancements in RS applications within Chilika are evident, there is an ongoing need to refine accuracy and extend research into areas such as the lagoon’s blue carbon capacity, dynamic land use and land cover patterns, spatiotemporal variations, and the implications of climate change. This chapter emphasizes the critical role of RS in advancing our comprehension and conservation efforts for unique ecosystems like Chilika. Keywords: Chilika, Remote sensing, AVIRIS-NG, Water quality
BIO: B Goutami is PhD scholar from the School of Sustainability, XIM University, India. She holds a B.Sc. in Zoology and an M.Sc. in Marine Biology from Berhampur University, Odisha. Currently, she also serves as a visiting faculty for the school of sustainability and teaches subjects like “Introduction to Physical Environment,” “Energy and Environment,” “Natural Resource Management and Sustainability,” and “Environmental Instrumentation”. Her research interests include ocean color remote sensing, phytoplankton research, ocean productivity, ocean sustainability and climate change.
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Machine Learning for Remote Sensing-based Water Quality Monitoring: Lake Victoria
January 14, 2025 14:00 UTC
Wanjohi Christopher, DataLyteGreen
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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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