6533b82cfe1ef96bd128ed64
RESEARCH PRODUCT
A satellite stand-alone procedure for deriving net radiation by using SEVIRI and MODIS products
Simona ConsoliDaniela VanellaAntonio MotisiMario MinacapilliJuan Miguel Ramírez-cuestasubject
Monitoring010504 meteorology & atmospheric sciencesMean squared errorFLUXNET0211 other engineering and technologiesClimate change02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesVegetation characteristicsFluxNetSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingGlobal and Planetary ChangePolicy and LawFLUXNET; MODIS; MSG-SEVIRI; Net radiation; Vegetation characteristics; Global and Planetary Change; Earth-Surface Processes; Computers in Earth Sciences; Management Monitoring Policy and LawManagementNet radiation MODIS MSG-SEVIRI FLUXNET Vegetation characteristicsSettore AGR/02 - Agronomia E Coltivazioni ErbaceeAncillary dataWater resourcesNet radiationVariable (computer science)MODISMSG-SEVIRIEnvironmental scienceSatelliteScale (map)description
Abstract In this study, a new stand-alone satellite approach for the estimation of net surface radiation (Rn) has been implemented and validated for the Italian territory. The method uses the MODIS and MSG-SEVIRI time series products and it is independent of the use of ancillary data (i.e. ground measurements). A database of daily measurements of Rn, provided by 9 stations of the FLUXNET network, was used to validate the method in different ecological scenarios in the period 2010-12. The Rn modelled by the proposed approach and the corresponding FLUXNET measurements were in good agreement, with RMSE and R2 of 19.8 Wm−2 and 0.87, respectively, at 8-days scale, and 23.3 Wm−2 and 0.92, respectively, at daily scale. Therefore, the proposed approach can be considered effective for the estimation of spatial and temporal variability of Rn, which is a key variable related to the management of water resources, agriculture, ecology and climate change.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-12-01 | International Journal of Applied Earth Observation and Geoinformation |