** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** FORESTS HAVE LONG PROVIDED HUMAN SOCIETIES WITH FOOD, FUEL, FIBER, AND OTHER SERVICES. AS HUMAN POPULATIONS GROW AND CLIMATE CHANGE INTENSIFIES, DEMAND FOR FOREST GOODS AND SERVICES ARE RISING. HOWEVER, CONTEMPORARY FOREST MANAGEMENT CONTINUES TO RELY ON SPARSE INFORMATION COLLECTED USING CENTURIES OLD METHODS, AND THERE IS A CRITICAL AND URGENT NEED FROM FOREST STAKEHOLDERS FOR TECHNOLOGIES TO SUPPORT DATA-DRIVEN DECISION MAKING. WE PROPOSE A TRANSDISCIPLINARY-ENGINEERING SOLUTION, BOTH IN HARDWARE AND SOFTWARE, TO MEET STAKEHOLDERS' NEEDS FOR SUSTAINABLE AND PROFITABLE FOREST MANAGEMENT THROUGH DIGITAL TWINNING OF FORESTS.WE WILL DEVELOP AN END-TO-END DIGITAL-TWINNING SYSTEM FOR FAST AND ACCURATE FOREST INVENTORY, BY COMBINING CUTTING-EDGE REMOTE SENSING TECHNIQUES AND AI-BASED ANALYTICS. WE WILL CAPTURE FOREST BIOMETRIC AND STRUCTURAL DATA USING HIGH-PRECISION LIDAR COUPLED TO GNSS AND IMU TO IMPROVE ACCURACY (OBJECTIVE 1). CONSTITUENT PARTS OF TREES AND FORESTS WILL BE RECONSTRUCTED FROM LIDAR POINT CLOUDS AND ASSEMBLED INTO DIGITAL TWINS (OBJECTIVE 2). DIGITAL TWINS WILL BE ANALYZED AND QUANTIFIED TO EXTRACT INFORMATION RELEVANT TO STAKEHOLDER OBJECTIVES SUCH AS TIMBER PRODUCTION AND CARBON STORAGE, AND THESE MEASUREMENTS WILL BE VALIDATED IN A WIDE RANGE OF FOREST CONDITIONS TO ENSURE ACCURACY AND ROBUSTNESS (OBJECTIVE 3). WE WILL ENGAGE STAKEHOLDERS IN ALL STAGES OF THE DEVELOPMENT PROCESS TO ENSURE THE FINAL RESULT IS USEFUL, USEABLE, AND MEETS THE NEEDS OF THE END USER. THIS WORK HAS THE POTENTIAL TO REVOLUTIONIZE FOREST MANAGEMENT BY SUPPLYING FOREST MANAGERS WITH DETAILED, PRECISE INFORMATION AT SPEEDS AND PRICES THAT ARE A FRACTION OF EXISTING METHODS.