Other (Learning materials)
FAO Training in Crop Yield Forecasting. Crop Yield Forecasting Methodology Enhancement – Remote sensing. Erevan 21 - 25 January 2013.
Denis, Antoine
2013
 

Files


Full Text
FAO_CYFS_TRAINING_4_ARMENIA.pps
Author preprint (11.32 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
crop yield forecasting; remote sensing; TIMESAT; Armenia; SPOT VEGETATION; METOP AVHRR
Abstract :
[en] Power point presentation of the FAO training "Crop Yield Forecasting Methodology Enhancement – Remote sensing", held in Erevan, Armenia, 21 - 25 January 2013 at ARMSTATEHYDROMET. The main objective of this training was the improvement of the Crop Yield Forecasting System (CYFS) in Armenia by introducing a new approach for satellite data integration (use of TIMESAT software and METOP AVHRR NDVI images). This training was held in the framework of the "EC/FAO Programme on Information Systems to Improve Food Security Decision-Making in the European Neighbourhood Policy (ENP) East Area GCP/GLO/275/EC".
Research center :
University of Liège - Belgium
Food and Agriculture Organisation (FAO)
ARMSTATEHYDROMET - Armenia (Hydrometereological Operational Centre)
Disciplines :
Agriculture & agronomy
Engineering, computing & technology: Multidisciplinary, general & others
Aerospace & aeronautics engineering
Author, co-author :
Denis, Antoine  ;  Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.)
Language :
English
Title :
FAO Training in Crop Yield Forecasting. Crop Yield Forecasting Methodology Enhancement – Remote sensing. Erevan 21 - 25 January 2013.
Publication date :
25 March 2013
Number of pages :
68
Institution :
ULiège - Université de Liège
Name of the research project :
EC/FAO Programme on Information Systems to Improve Food Security Decision-Making in the European Neighbourhood Policy (ENP) East Area GCP/GLO/275/EC
Funders :
CE - Commission Européenne [BE]
FAO - Food and Agriculture Organization of the United Nations [IT]
Available on ORBi :
since 25 March 2013

Statistics


Number of views
194 (17 by ULiège)
Number of downloads
197 (13 by ULiège)

Bibliography


Similar publications



Contact ORBi