Abstract
| Lingua originale | English |
|---|---|
| pagine (da-a) | 786-799 |
| Numero di pagine | 14 |
| Rivista | International Journal of Applied Earth Observation and Geoinformation |
| Stato di pubblicazione | Published - 2018 |
Cita questo
A satellite stand-alone procedure for deriving net radiation by using SEVIRI and MODIS products. / Ramírez-Cuesta, J.; Vanella, D.; Consoli, S.
In: International Journal of Applied Earth Observation and Geoinformation, 2018, pag. 786-799.Risultato della ricerca: Article
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TY - JOUR
T1 - A satellite stand-alone procedure for deriving net radiation by using SEVIRI and MODIS products
AU - Ramírez-Cuesta, J.; Vanella, D.; Consoli, S.
AU - Motisi, Antonio
AU - Minacapilli, Mario
PY - 2018
Y1 - 2018
N2 - 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 19.8Wm−2 and 0.87, respectively, at 8-days scale, and 23.3Wm−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.
AB - 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 19.8Wm−2 and 0.87, respectively, at 8-days scale, and 23.3Wm−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.
UR - http://hdl.handle.net/10447/336515
UR - https://www.sciencedirect.com/science/article/pii/S030324341830271X
M3 - Article
SP - 786
EP - 799
JO - International Journal of Applied Earth Observation and Geoinformation
JF - International Journal of Applied Earth Observation and Geoinformation
SN - 1569-8432
ER -