ΕΓΓΡΑΦΑ & ΠΡΟΒΟΛΉ

ΔΗΜΟΣΙΕΎΣΕΙΣ

Δημοσιεύσεις

CONFERENCE PROCEEDINGS - 2015
Development of a rule-based algorithm for rice cultivation mapping using Landsat 8 time series
Authors: Karydas C.G., Toukiloglou P., Minakou C., Gitas, I.Z.
This document has been published on the occasion of the Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), edited by D.G. Hadjimitsis, K.Themistocleous, S.Michaelides, G.Papadavid, Proc. of SPIE Vol. 9535, 95350K · © 2015 SPIE · CCC code: 0277-786X/15/$18 · doi: 10.1117/12.2193162
Peer Reviewed Article - 2015
Mapping Leaf Area Index With a Smartphone and Gaussian Processes
Authors: Campos-Taberner M., Garcia-Haro F.J., Moreno, A.; Gilabert M.A., Sanchez-Ruiz S., Martinez B., Camps-Valls G.
Article published on Geoscience and Remote Sensing Letters, IEEE , vol.12, no.12, pp.2501-2505, December 2015. doi: 10.1109/LGRS.2015.2488682
Conference Proceedings - 2015
Πρόγραμμα ERMES: Ανάπτυξη ενός αξιόπιστου συστήματος για το ρύζι με βάση, τηλεσκοπικά μέσα, δεδομένα αγρού και μοντελοποίηση της καλλιέργειας
Authors: Katsantonis D., Dramalis C., Kalaitzidis A., IGitas I., Karydas C., Vizantinopoulos S.
Proceedings (abstract) presented during the 18th “European Weed Research Society” (EWRS) scientific conference and workshop, Heraklion (Crete Island) , March 2015.
Article - 2015
EARTH OBSERVATION TECHNOLOGIES FOR RICE CROP MONITORING (ERMES)
Authors: Boschetti M. (CNR IREA)
ERMES Contribution to NEREUS [WG EO/Cop] Pilot action - Best practices for agricultural European Innovation Partnership (EIP Agri). Section: Lombardia rice monitoring.
Peer Reviewed Article - 2015
Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan
Authors: Boschetti M., Nelson A., Nutini F., Manfron G., Busetto L., Barbieri M., Laborte A., Raviz, J.. Holecz, F., Mabalay, M.R.O., Bacong, A.P., Quilang, E.J.P.
2015 article published in Remote Sensing 20157, 6535-6557.
Peer Reviewed Article - 2015
Improving in vivo plant nitrogen content estimates from digital images: trueness and precision of a new approach as compared to other methods and commercial devices
Authors: Confalonieri R., Pagani V., Orlando F. et al (UMIL)
Published in Biosystems Engineering, vol. 135, July 2015, pages 21-30