THERE IS A CRITICAL NEED FOR RESEARCH THAT WILL CONTRIBUTE TO ENHANCING FARMING SUSTAINABILITY THROUGH IMPROVING FARMERS' ACCESS TO INFORMATION AND DECISION-MAKING UNDER FUTURE CLIMATE CONDITIONS. THE PROPOSED RESEARCH BRINGS THE BENEFITS OF CLIMATE CHANGE RESEARCH TO SPECIALTY CROP FARMERS. THE STUDY OF AGRICULTURAL SUITABILITY INCORPORATES MULTIPLE ENVIRONMENTAL DATA AT DIVERSE SPATIAL SCALE. DEPLOYMENT OF NEW SENSORS AND PLATFORMS HOLD THE POTENTIAL TO TRANSFORM THE USE OF DATA IN AGRICULTURAL OPERATIONS. HOWEVER, METHODS DEVELOPED FOR A TYPE OF DATA INPUT NEEDS TO BE ADAPTED TO BENEFIT FROM NEW DATA. FOR AGRICULTURAL SUITABILITY THIS IMPLIES THE ADAPTATION OF USING SATELLITE DATA TO UNMANNED AERIAL VEHICLES (UAVS). THE OVERALL OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP A PIPELINE TO MODEL SUITABILITY USING UAV AND SATELLITE DATA UNDER CURRENT AND FUTURE CLIMATE CONDITIONS.THIS PROJECT WILL MAKE USE OF SATELLITE AND UAVS DATA AND MACHINE-LEARNING ALGORITHMS TO IDENTIFY AGRICULTURAL SUITABILITY FOR THREE SPECIALTY CROPS. WE WILL EXAMINE GRAPES, STRAWBERRIES, AND CITRUS PRODUCTION IN CALIFORNIA. AFTER IDENTIFYING AGRICULTURAL SUITABILITY AT CURRENT CLIMATE CONDITIONS, WE WILL EXAMINE THE POTENTIAL EFFECTS OF FUTURE CLIMATE CONDITIONS IN THE AGRICULTURAL SUITABILITY. THE ANALYSIS OF FUTURE AGRICULTURAL SUITABILITY WILL ALLOW THE ESTIMATION OF SUITABILITY GAIN OR LOSS DUE TO ENVIRONMENTAL CHANGE.THE CURRENT SCIENTIFIC UNDERSTANDING PREDICTS THAT SEVERE AND PROLONGED DROUGHT WILL BECOME MORE FREQUENT AS A CONSEQUENCE OF THE CHANGING CLIMATE. CLIMATE CHANGE WILL IMPACT FOOD PRODUCTION WORLDWIDE AND CALIFORNIA'S SPECIALTY CROPS ARE NOT EXCEPTIONS. THIS RESEARCH PROJECT AIMS TOCONTRIBUTINGTO FARMERS AND INDUSTRY STAKEHOLDERS WITH SUITABILITY INFORMATION THAT IS ACTIONABLE AT THE LEVEL. THE ULTIMATE GOALS OF THE PROJECT ARE TO INCREASE SUSTAINABILITY FOR SMALL AND MEDIUM-SIZED SPECIALTY CROP FARMS (SMSCF) BY IMPROVING PREPAREDNESS FOR FUTURE CLIMATE CONDITIONS BY MAPPING LAND SUITABILITY USING UNMANNED-AERIAL-VEHICLES (UAV) AND SATELLITE-BASED REMOTE SENSING DATA AND BY TRAINING A NEW GENERATION OF AGRICULTURALISTS THAT ARE READY TO APPLY DATA-INTENSIVE METHODS TO AGRICULTURAL PRODUCTION.