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LIGHT DETECTION & RANGING SCIENCE X PULSED PHOTONS [2016-2022]

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PROJECT TYPE [PEDAGOGICAL ENGAGEMENT; DESIGN INFORMATICS & VISUALISATION RESEARCH] PROJECT FUNDING [EDINBURGH FUTURE INSTITUTE (EFI); DATA-DRIVEN INNOVATION CITY REGIONAL DEAL (DDI) CREATIVE INFORMATICS (CI); EDINBURGH CENTRE FOR DATA, CULTURE & SOCIETY (CDCS); INSTITUTE OF DESIGN INFORMATICS [IDI]; EDINBURGH DATASHARE] SENSORS [TLS: FARO FOCUS; LEICA BLK-360] PROJECT OUTPUTS A [POINT CLOUD DIGITAL DATASETS X 40] B [FIELD RESEARCH & ACADEMIC SEMINARS & WORKSHOP ORGANISATION X 20] C [POINT CLOUD DATA REPOSITORY EDINBURGH DATASHARE] D [PROGRAMMING PIPELINE]

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AN EVOLVING CORPUS OF WORK RESULTING FROM LONG-DURATIONAL LIGHT DETECTION & RANGING-BASED FIELD RESEARCH & PEDAGOGICAL ENGAGEMENT IN THE UNITED KINGDOM. LIDAR SENSES TARGET PHENOMENA THROUGH TIME-STAMPED PROPAGATION & BACKSCATTERING OF PULSED SIGNALS. IT MEASURES TERRITORIES (AIRBORNE & TERRESTRIAL SURFACES) AT LIGHT SPEED INTO FORENSIC-GRADE RADIOMETRIC & TOPOGRAPHIC DATASETS CALLED POINT CLOUDS. POINT CLOUDS ARE COLLAPSED TIME OF FLIGHT ECHOES, STORED AS CHRONOMETRIC INVARIANTS IN A LOCAL COORDINATE SYSTEM (X-AXIS, Y-AXIS, Z-AXIS) INCLUDING SPECTRAL & SCALAR VALUES––OUT OF WHICH, MACHINE LEARNING & AUTOGRAPHIC ALGORITHMS CAN INTERPOLATE MODELS, INDEXING THE PHYSICOCHEMICAL CHARACTERISTICS OF SCANNED TERRITORIES IN AN AUTORADIOGRAPHIC MANNER. THE POINT CLOUD DATASETS ACCRETED DURING THE TECHNICAL SESSIONS ARE PUBLISHED ONLINE ON EDINBURGH DATASHARE, 

 

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