FAO Training in Crop Yield Forecasting - Remote Sensing - Method for Crop Yield Forecasting System (CYFS) from spatial Remote Sensing for Tajikistan. Integration of PROBA-V NDVI images. Belgium - Arlon Campus Environment - January 2015.
This manual has been written for the “Training for strengthening crop yield forecasting capacity of the State Administration for Hydrometeorology (Hydromet) of Tajikistan” that occurred between 12nd January and 7th February 2015 in Arlon – Belgium in the framework of the Food and Agriculture Organization (FAO) of the United Nations Project (GCP/TAJ/007/EC) “Support to Strengthening the National Food Security Information System in Tajikistan”. This manual is intended to cover the Remote Sensing part only of the general Crop Yield Forecasting System (CYFS). Despite written for the Tajik context... Mehr ...
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Dokumenttyp: | learning object |
Erscheinungsdatum: | 2015 |
Verlag/Hrsg.: |
ULiège - Université de Liège
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Schlagwörter: | Crop yield forecasting / spatial remote sensing / Tajikistan / agriculture / PROBA-V / Life sciences / Agriculture & agronomy / Engineering / computing & technology / Physical / chemical / mathematical & earth Sciences / Sciences du vivant / Agriculture & agronomie / Ingénierie / informatique & technologie / Physique / chimie / mathématiques & sciences de la terre |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26592063 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/178493 |