{"ob_id":46177,"computationComponent":[{"ob_id":46176,"uuid":"9f83d6cce8084bc4a8747a3ae811e201","title":"SPLICE project: Canopy inputs for the DART model derived from Terrestrial Laser Scans","abstract":"A spatial estimate of leaf area index (LAI) was derived and then voxelised, with most scenes following the method of Jupp and Lovell (2007), where PAVD (Plant Area Volume Density) is derived from gap probability derived from the TLS data (Calders et al. 2014). The LAI for Wytham Woods uses a radiative transfer model, and hemispherical photography (Calders et al. 2018a,b), allowing a LAI to be estimates at a finer resolution than the collected TLS. This data is then additionally processed using python into .txt files that can be modified and input into the DART model.","keywords":"","inputDescription":null,"outputDescription":null,"softwareReference":null,"identifier_set":[]}],"acquisitionComponent":[{"ob_id":46175,"independentInstrument":[27223],"instrumentplatformpair_set":[]}],"identifier_set":[],"responsiblepartyinfo_set":["https://catalogue.ceda.ac.uk/api/v2/rpis/220521/?format=json"]}