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THE PROPOSED STUDY WILL DEVELOP SOFTWARE TOOLS FOR EXTRACTING SEAGRASS DISTRIBUTION AND BIOMASS FROM APPROPRIATELY RESOLVED MULTISPECTRAL IMAGERY THAT ULTIMATELY CAN BE SCALED UP TO PROVIDE GLOBAL COVERAGE WHEN COMBINED WITH INFORMATION ON SUBMARINE BATHYMETRY AND WATER QUALITY. WE WILL PROVIDE TEST CASE VERIFICATION OF OUR APPROACH BY QUANTIFYING ABUNDANCES AND MAPPING DISTRIBUTIONS OF SEAGRASSES IN THE CHESAPEAKE BAY AND EASTERN GULF OF MEXICO (EGOM)  TWO REGIONS OF THE COASTAL UNITED STATES ENCOMPASSING IMPORTANT SEAGRASS RESOURCES THAT ARE CURRENTLY THREATENED BY CHANGES IN WATER QUALITY  CLIMATE WARMING AND SEA LEVEL RISE  AND WITH WHICH WE HAVE EXTENSIVE LOCAL EXPERIENCE. WE WILL EXPLOIT ARCHIVED REMOTE SENSING IMAGERY AVAILABLE FROM THE USGS LANDSAT-8 AND THE DIGITAL GLOBE (DG) WORLDVIEW-2  WORLDVIEW-3 SATELLITES  AND DETERMINE TEMPORAL CHANGES IN SEAGRASS RESOURCES AS PERMITTED FROM THE ARCHIVED DATA. REMOTELY SENSED ESTIMATES OF ABOVE-GROUND BIOMASS WILL BE DETERMINED USING ALGORITHMS DEVELOPED BY THE PIS THAT HAVE PREVIOUSLY BEEN SUCCESSFUL IN TURBID COASTAL REGIONS. A NEW GENETIC ALGORITHM WILL BE EXPLORED THAT CAN IMPROVE CLASSIFICATION AND THRESHOLD DETERMINATION. THE ABOVE GROUND BIOMASS RETRIEVALS WILL BE USED TO ESTIMATE POTENTIAL BLUE CARBON DEPOSITS CONSISTING OF BELOW-GROUND SEAGRASS BIOMASS  BURIED LEAF LITTER AND ALLOCHTHONOUS DETRITAL CARBON (TERRESTRIAL AND MARINE) FOR EACH SITE. REMOTELY SENSED SEAGRASS DISTRIBUTIONS WILL BE LINKED TO A PREDICTIVE BIO-OPTICAL MODEL WE CALL GRASSLIGHT THAT WILL BE USED TO EXPLORE THE DIFFERENTIAL EFFECTS OF WATER QUALITY  AMBIENT TEMPERATURE AND CO2 AVAILABILITY ON SEAGRASS ABUNDANCE AND DISTRIBUTION  AND ULTIMATE IMPACTS ON BLUE CARBON RESERVES. ADVANCES IN UNDERSTANDING THE OPTICS OF SHALLOW WATER ENVIRONMENTS  SUBMERGED VEGETATION CANOPIES AND SEAGRASS PHYSIOLOGY  COMBINED WITH IMPROVED SPATIAL RESOLUTION OF RADIOMETRICALLY CALIBRATED REMOTE SENSING PLATFORMS  NOW ENABLE SEAGRASS ECOSYSTEMS TO BE MONITORED FROM ORBITING PLATFORMS SUCH AS LANDSAT-8  WORLDVIEW-2  AND WORLDVIEW-3 IN ADDITION TO HYPERSPECTRAL SYSTEMS. EXTENSIVE MEADOWS COVERING VERY LARGE REGIONS (E.G. BAHAMAS BANKS) CAN EVEN BE QUANTIFIED WITH MODIS. IN ANTICIPATION OF FUTURE NASA MISSIONS OFFERING INCREASED SPATIAL AND SPECTRAL RESOLUTION OVER CURRENT ORBITING SYSTEMS  WE WILL DEVELOP PROCEDURES TO QUANTIFY SEAGRASS ASSETS AND MONITOR CHANGES FROM EXISTING ARCHIVED DATA THAT CAN PROVIDE A BRIDGE TO NEW ORBITING PLATFORMS AS THEY BECOME AVAILABLE. THE ALGORITHMS AND MODELS DEVELOPED HERE WILL QUANTIFY STATUS FOR A KEY COASTAL MARINE HABITAT IN THE US AND PROVIDE A PATHWAY TO UTILIZE FUTURE HIGHER RESOLUTION DATASETS PROVIDING INCREASED SPATIAL AND SPECTRAL RESOLUTION TO OBSERVE COASTAL ENVIRONMENTS (HYSPIRI  AND FUTURE HIGH-RESOLUTION SENSORS) ACROSS THE GLOBE.","funder_award_id":"NNX17AH01G","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320306107","display_name":"U.S. Environmental Protection Agency","ror":"https://ror.org/03tns0030"},{"id":"https://openalex.org/F4320308729","display_name":"Washington Space Grant 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