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Paolo Cosmo Silvestro
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2020 – today
- 2021
- [j3]Paolo Cosmo Silvestro, Raffaele Casa
, Jan Hanus
, Benjamin Koetz, Uwe Rascher
, Dirk Schuettemeyer
, Bastian Siegmann, Drazen Skokovic, José A. Sobrino
, Marin Tudoroiu
:
Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations. Remote. Sens. 13(11): 2138 (2021) - [j2]Stefano Pignatti
, Raffaele Casa
, Giovanni Laneve
, Zhenhai Li
, Linyi Liu, Pablo Marzialetti, Nada Mzid
, Simone Pascucci
, Paolo Cosmo Silvestro
, Massimo Tolomio
, Deepak Upreti
, Hao Yang
, Guijun Yang
, Wenjiang Huang:
Sino-EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources. Remote. Sens. 13(15): 2889 (2021)
2010 – 2019
- 2017
- [j1]Paolo Cosmo Silvestro
, Stefano Pignatti
, Simone Pascucci, Hao Yang
, Zhenhai Li
, Guijun Yang
, Wenjiang Huang
, Raffaele Casa
:
Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models. Remote. Sens. 9(5): 509 (2017) - 2016
- [c3]Raffaele Casa, Paolo Cosmo Silvestro
, Hao Yang, Stefano Pignatti
, Simone Pascucci, Guijun Yang:
Assimilation of remotely sensed canopy variables into crop models for an assessment of drought-related yield losses: A comparison of models of different complexity. IGARSS 2016: 5925-5928 - 2015
- [c2]Roberta Anniballe, Raffaele Casa, Fabio Castaldi
, Fabio Fascetti, Lorenzo Fusilli, Wenjiang Huang, Giovanni Laneve, Pablo Marzialetti, Angelo Palombo
, Simone Pascucci, Nazzareno Pierdicca
, Stefano Pignatti
, Qiaoyun Xie
, Federico Santini
, Paolo Cosmo Silvestro
, Hao Yang, Guijun Yang:
Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy. IGARSS 2015: 3381-3384 - [c1]Raffaele Casa, Paolo Cosmo Silvestro
, Hao Yang, Stefano Pignatti
, Simone Pascucci, Guijun Yang:
Development of farmland drought assessment tools based on the assimilation of remotely sensed canopy biophysical variables into crop water response models. IGARSS 2015: 4005-4008
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