**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** HEALTHY FORESTS ARE VITAL TO THE OVERALL ECONOMY IN THE U.S. FOREST PESTS ARE A MAJOR CAUSE OF FOREST LOSS. DEVELOPING APPROACHES TO SUCCESSFULLY DETECT, PREDICT, AND MITIGATE INVASIVE INSECTS IS A NECESSARY STEP TO ADVANCE EFFECTIVE FOREST MANAGEMENT. IN THIS EFFORT, REMOTE SENSING TECHNOLOGIES CAN BE SOME OF THE MOST COST-EFFECTIVE MONITORING TOOLS AVAILABLE TO MANAGERS, LANDOWNERS, AND FEDERAL AGENCIES. A RECENT INVASIVE INSECT THAT HAS GATHERED CONSIDERABLE ATTENTION IS THE SPOTTED LANTERNFLY (SLF, LYCORMA DELICATULA). BASED ON RECENT FINDINGS FROM OUR RESEARCH GROUP, WE BELIEVE THAT REMOTE SENSING APPROACHES HAVE THE POTENTIAL TO CHARACTERIZE MULTIPLE MECHANISMS OF SLF DISPERSAL. WE PROPOSE TO 1) IDENTIFY TREE CANOPY SPECTRAL CHARACTERISTICS THAT ARE RELATED WITH SLF PERFORMANCE, 2) BUILD A MODEL USING SMALL SATELLITE DATA THAT CAN PREDICT SLF DENSITIES, 3) DEVELOP A PROBABILITY OF INFESTATION MODEL TO PREDICT THE LIKELIHOOD THAT SLF WILL ESTABLISH IN FORESTED AREAS IN THE DIFFERENT REGIONS OF THE POTENTIAL AREA OF SPREAD, AND 4) DEVELOP AN INTERACTIVE OUTREACH PROGRAM HIGHLIGHTING THE BENEFITS OF REMOTE SENSING IN MONITORING INVASIVE SPECIES. PREVIOUS WORK FROM THE PIS AND CURRENT PRELIMINARY FINDINGS AND SUGGEST THAT SLF ARE ATTRACTED TO TREES OF HIGHER NUTRITIONAL QUALITY, REMOTE SENSING DATA CAN ESTIMATE STAND QUALITY, AND THAT LONG-SCALE DISPERSAL IS RELATED WITH LONG-DISTANCE TRANSIT LINES, SUGGESTING MECHANISMS OF BOTH LOCAL AND LONG-DISTANCE SPREAD CAN BE PREDICTED. PROJECTING PROBABILITY OF SLF ESTABLISHMENT WILL GIVE LAND MANAGERS TIME TO PROACTIVELY MANAGE FOREST HEALTH ISSUES AND IMPLEMENT STRATEGIES BEFORE THEY LEAD TO DAMAGING LEVELS OF INFESTATIONS.