{"ob_id":26037,"computationComponent":[{"ob_id":26035,"uuid":"2db4843135244d7f886b2b0056c03e42","title":"GlobTemperature Level-2 MODIS Land Surface Temperature (LST) algorithm","abstract":"The GlobTemperature Level-2 MODIS Land Surface Temperature (LST) algorithm derives LST data from L1B calibrated radiances from the MODIS instruments on the Aqua and Terra Satellites.   It uses a generalized split-window (SW) approach to estimate Land Surface Temperature as a linear function of clear-sky TOA (top of atmosphere) brightness temperatures from MODIS bands 31 and 32 centred on 11 and 12 microns respectively.\r\n\r\nThe GlobTemperature MODIS product also provides a full breakdown of the pixel level uncertainty budget.  The uncertainty analysis takes into account the expected performance of the retrieval algorithm under varying surface and atmospheric conditions, with these uncertainties categorised into a 3-component model: random, locally correlated and systematic.   The locally correlated component is further split into surface and atmospheric conditions.","keywords":"Land Surface Temperature, LST, University of Leicester","inputDescription":null,"outputDescription":null,"softwareReference":null,"identifier_set":[]}],"acquisitionComponent":[{"ob_id":25855,"independentInstrument":[],"instrumentplatformpair_set":[{"ob_id":11731,"platform":"https://catalogue.ceda.ac.uk/api/v2/platforms/10897/?format=json","instrument":"https://catalogue.ceda.ac.uk/api/v2/instruments/10898/?format=json","relatedTo":{"ob_id":25855,"uuid":"280deb3b3c7f46d0a29a80cb60c3c448","short_code":"acq"}}]}],"identifier_set":[],"responsiblepartyinfo_set":["https://catalogue.ceda.ac.uk/api/v2/rpis/108992/?format=json","https://catalogue.ceda.ac.uk/api/v2/rpis/108993/?format=json","https://catalogue.ceda.ac.uk/api/v2/rpis/108994/?format=json"]}