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OUR PROPOSAL ALSO INCLUDES TWO REGIONAL WORKSHOPS IN YEAR 2  ONE TO INFORM STAKEHOLDERS AND MANAGERS IN SFB  AND A SMALLER WORKSHOP TO ENGAGE LOCAL AND TRIBAL GOVERNMENT AND MANAGERS IN BELLINGHAM BAY  WA. WHILE THIS IS PERHAPS AMBITIOUS FOR A TWO-YEAR PROJECT WE BELIEVE IT IS REALISTIC GIVEN THAT (A) WE ARE TESTING ALGORITHMS ALREADY DEVELOPED FOR THE REGION (E.G. AMI  SLH) THAT HAVE NOT YET BEEN ROUTINELY APPLIED TO SATELLITE DATA  AND (B) WE ALREADY HAVE THE EXTENSIVE IN-WATER DATA NECESSARY TO BUILD ROBUST STATISTICAL MODELS. THIS PROPOSAL ADDRESSES ROSES A.30 SUBTASK 2.4 THE TOPIC OF  ALGORITHM REFINEMENT TO ASSESS HARMFUL ALGAL BLOOMS ACROSS NORTH AMERICA  BY DIRECTLY ASSESSING THE INCLUSION OF SATELLITE ALGORITHMS FOR CYANOBACTERIAL INDICES INTO AN ENVIRONMENTAL PREDICTIVE MODEL TO DETERMINE IF IT INCREASES THE QUALITY AND PREDICTIVE CAPABILITY OF THE MODEL. THE REMOTE SENSING DATA USED FOR THIS PROPOSAL WILL BE DIRECTLY LINKED TO 5+ YEARS OF IN-SITU DATA FROM SFB  AND 7+ YEARS OF INLAND DATA FROM PINTO LAKE  CA. OUR FINDINGS FROM THAT DATASET WILL BE APPLIED TO A CASE STUDY - BELLINGHAM BAY  WA WHICH HAS MANY OF THE SAME WARNING SIGNS (EUTROPHICATION  DROUGHT  AND WARMING TEMPERATURES) THAT WE SEE IN SFB AND IS EQUALLY AT RISK FOR CYANOHABS CROSSING FROM THE FRESHWATER TO THE MARINE LAND/SEA BOUNDARY  APPLYING A REGIONAL MODEL TO A SIMILAR CASE STUDY. 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