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Development of an Improved Visualization Tool for the Assessment of Climate Change Impacts on Mississippi Sound Coastal Waters using Integrated NASA Satellite and Novel Autonomous Surface Vessel Collected Field Datasets

Completed

Description

BACKGROUND: NASA’s Ocean Color satellites provide time-series of chlorophyll a (Chl-a) data of the global ocean using which net primary productivity (NPP) can be computed. NPP is important because it is the process that forms the foundation of food webs. The satellite-derived Chl-a, however, have higher levels of uncertainty in the coastal waters due to confounding effects of multiple components present in optically complex coastal waters. Hence, the estimations of NPP and how they affect the carbon cycle at the land-sea interface are erroneous or not available. Further, water quality in the region east of the Mississippi River Delta have been poorly measured relative to the adjacent system west of the Mississippi River Delta. In fact, several studies have highlighted the frequency and spatial extent of hypoxia east of the Mississippi River Delta as an open question. OBJECTIVES: The objective of the proposed work is to improve and develop remote sensing algorithms for Chl-a for the operational monitoring of coastal waters of the Mississippi Sound and implement the algorithms to advance an in-house visualization tool, which can be used to assess the climate change impacts on NPP of coastal waters. METHODS: The proposed research will leverage the interactive map-based water quality visualization tool developed by the Sc-I (https://water.geosci.msstate.edu/), and a recently acquired solar powered autonomous surface vessel (ASV) at MSU, which is greatly enhancing in-situ data sampling capabilities and producing data from thousands of sites per deployment. The proposed research will measure water quality parameters from the Mississippi Sound using the ASV to directly address the limitations of satellite products in coastal waters. The use of the spatially rich dataset from the ASV together with NASA’s satellite data will help develop robust remote sensing algorithms, using which more accurate Chl-a time-series maps will be generated. The updated Chl-a maps will help accurate calculation of NPP in the Mississippi Sound. A time-series of NPP maps will be used to determine the impacts of climate change and land use and land cover (LULC) change on productivity of the Mississippi Sound. The objectives will be met by an interdisciplinary team of researchers from three universities within the Mississippi NASA EPSCoR jurisdiction (including an HBCU) with complimentary expertise in remote sensing of water quality (Dash-MSU), machine-learning (Bhushan-MSU), agricultural and biological engineering (Chesser-MSU), geo-informatics (Easson-UM), and remote sensing of vegetation productivity (Kulawardhana-JSU). The team will carry out outreach activities with local K-12 schools to raise awareness about the impact of climate change on local and global ecosystems, and the Mississippi Dept. of Marine Resources and the Mississippi Dept. of Environmental Quality. RELEVANCE TO NASA PRIORITIES: The proposed research is aligned with the NASA Earth Science Division’s mission to “…develop a scientific understanding of Earth as a system ... to enable better assessment and management of water quality and quantity [and] accurately predict how the global water cycle evolves in response to climate change.” NASA’s Ocean Color satellites play a vital role in predicting global change to assist policy makers in making sound decisions concerning the protection of our environment. The proposed research will enhance the NASA satellite data based NPP estimates using in-situ measurements. It will primarily focus on the Mississippi Sound, which is backbone of Mississippi’s economy. The research will help in assessment of the effect of climate and LULC changes on the coastal waters and may provide guideline for the policymakers for better resource management. Further, the Visualization tool developed in this study will be open-source, and can be easily extended to other coastal ecosystems, and thus has the potential to impact climate change studies beyond this project.

Details

Technology areaSensors and Instruments > In Situ Instruments and Sensors > Environment Sensors
ProgramEstablished Program to Stimulate Competitive Research (EPSCoR)
Lead organizationUniversity of Mississippi, University, MS
Start date2022-07-01
End date2025-06-30

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