Search results for " field campaign"

showing 3 items of 3 documents

LAI, FAPAR and FCOVER ground-truth map creation from FASat-C satellite imagery and in-situ measurements in Chimbarongo, Chile, for satellite products…

2016

[EN] In remote sensing, validation exercises are essential to ensure the quality of the products originated from satellite Earth observations. To assess the measurement uncertainty derived from satellite products, several ground field data from different ecosystems must be available for use. In the same order of importance, it is necessary to define data sampling and up-scaling methodologies to allow a suitable comparison between the ground data and the pixel size of the product. This paper shows the applied methodology used in the FP7 ImagineS project (Implementing Multi-scale Agricultural Indicators Exploiting Sentinels) to validate 10-days global LAI, FAPAR and vegetation cover products …

010504 meteorology & atmospheric sciencesCampaña de campoGeography Planning and Development0211 other engineering and technologiesFASat-Clcsh:G1-92202 engineering and technology01 natural sciencesBiophysical parametersValidationEarth and Planetary Sciences (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerParámetros biofísicosValidación15. Life on landGeographyField campaign13. Climate actionFASat-C biophysical parameters field campaign validation CopernicusCartographyHumanitieslcsh:Geography (General)CopernicusRevista de Teledetección
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Results from the Fourth WMO Filter Radiometer Comparison for aerosol optical depth measurements

2018

Abstract. This study presents the results of the Fourth Filter Radiometer Comparison that was held in Davos, Switzerland, between 28 September and 16 October 2015. Thirty filter radiometers and spectroradiometers from 12 countries participated including reference instruments from global aerosol networks. The absolute differences of all instruments compared to the reference have been based on the World Meteorological Organization (WMO) criterion defined as follows: 95% of the measured data has to be within 0.005 ± 0.001∕m (where m is the air mass). At least 24 out of 29 instruments achieved this goal at both 500 and 865 nm, while 12 out of 17 and 13 out of 21 achieved this at 368 and 412 nm,…

Earth's energy budgetTermodinàmica atmosfèricaAtmospheric ScienceAngstrom exponent010504 meteorology & atmospheric sciencesMeteorologi och atmosfärforskning01 natural sciencesAerosol optical depthlcsh:Chemistry010309 opticssymbols.namesakeAerosol networks0103 physical sciencesRayleigh scatteringradiometry field campaignRadiation balance0105 earth and related environmental sciencesRemote sensingAerosolsRadiometerlcsh:QC1-999AerosolSpectroradiometerlcsh:QD1-99913. Climate action[SDU]Sciences of the Universe [physics]Meteorology and Atmospheric SciencessymbolsEnvironmental scienceRadiometerSun photometerslcsh:PhysicsWater vapor
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The identifiability analysis for setting up measuring campaigns in integrated water quality modelling.

2012

Abstract Identifiability analysis enables the quantification of the number of model parameters that can be assessed by calibration with respect to a data set. Such a methodology is based on the appraisal of sensitivity coefficients of the model parameters by means of Monte Carlo runs. By employing the Fisher Information Matrix, the methodology enables one to gain insights with respect to the number of model parameters that can be reliably assessed. The paper presents a study where identifiability analysis is used as a tool for setting up measuring campaigns for integrated water quality modelling. Particularly, by means of the identifiability analysis, the information about the location and …

EngineeringSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryCalibration (statistics)Monte Carlo methodWater quality modellingcomputer.software_genreData setsymbols.namesakeGeophysicsGeochemistry and PetrologyData qualitysymbolsSensitivity (control systems)Identifiability analysisData miningbusinessFisher informationcomputerDevelopment of a useful tool for selecting monitoring field campaigns. ► Identificability analysis is a valuable tool for calibration of complex models. ► Upstream sub-system influences with different strength the downstream ones.
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