::Information
 

Titre Crop Yield Assessments (CY) - Malawi (MWI) - 2008
Date 2008-06-11 (publication)
Edition 1.0
Formulaire de présentation Map Digital
Langue en
Jeu de caractère Utf8
Résumé The yield forecast is realized at (sub-) national level up to the departmental level (or 3rd administrative boundary level e.g. RDP). The yield calculation is based on a yield model obtained from a statistical analysis (stepwise regression) which relates yield to explanatory agrometeorological variables. There are three kinds of explanatory variables. (i) The phenological variables. They are obtained by using the FAO AgroMetShell, a model based on the water balance which gives information on phenological stages of the crop during the growing season. (ii) The meteorological variables which consist of simple and cumulated actual rainfall. (iii) The remote sensed variables which are extracted from NOAA GAC images using WINDISP, an easy FAO image processing software.

The models are calibrated on a long term average (for the case of Malawi this was 24 years from 1984 to 2007) and validated by leave-one-out cross validation. The yield forecast at departmental level (RDP) is compared with the average yield for each department on the long term average (in the case of Malawi from 1984 to 2007). The yield forecast map shows those relative yields.

The yield forecast at national level which is the required final product, is obtained by aggregating the yield forecast at departmental level. It is indicated on the yield forecast map. The forecasted production is compared with production of the official statistics. Note that the method might slightly differ from one country to another, based upon the local availbility of data and requirements. The GMFS crop yield forecasts are generated once during the growing season. This product is covering Malawi countrywide.
Description textuelle générale Crop Yield estimates are generated following the procedure described in the document "GMFS_S5 Productsheet Crop Yield"
Objectifs de la production The purpose is to forecast crop yield at national level as early as possible in the growing season in order to take appropriate action in case of food crisis. Yield forecasts are an important element for estimating final production of major crops in a given country. These are needed to assess the total for availability in a given country. The yield forecast presented here is an additional method for estimating yields as early in the season as possible, and provides the additional advantage of combining remote sensing data and classical agrometeorological methods. It has the adidtional advantage that it builds upon the longer term effort of the FAO agrometshell software, widely used throughout Africa.
Statut On Going
Catégorie du sujet Farming
Mots-clés Crop Yield Assessments, CY (theme).
Mots-clés Malawi, SADC. (place).
Type de représentation spatial Text Table
::Echelle équivalente
 
Echelle maximum 1000000
 
::Emprise géographique
 
Limite nord
-9.37667
Limite ouest
32.68187
Borne est
35.92097
Limite sud
-17.13528
 
::Emprise
 
Date de début 2006-11-01T10:28:00
Date de fin 2007-06-01T10:29:00
 
Contraintes d'accès Restricted
Propriété intellectuelle Intellectual Property Rights
Autres contraintes No Use constraints provided appropriate acknowledgement is given.
Fréquence de mise à jour Annually
::Contact
 
Nom Bernard Tychon
Nom de l'organisme University of Liège
Rôle dans l'organisme Principal Investigator
Responsabilité Principal Investigator
Téléphone +32 63 23 08 29
Fax +32 63 23 08 00
Adresse de livraison Bâtiment FUL, 185 Avenue de Longwy
Ville Arlon
Code postal B-6700
Pays Belgium
Email bernard.tychon@ulg.ac.be
 
 
::Information sur la distribution
 
Données à télécharger Product Sheet Crop Yield Assessments
Données à télécharger Product Sheet Crop Yield Assessments
 
::Information sur le système de coordonnée
 
Code Geographic, WGS 1984
 
::Information sur la qualité des données
 
Niveau de hiérarchie Dataset
 
::Métadonnées
 
Identifiant du fichier fe1d59f0-37ce-11dd-ac34-0016353dd47f
Langue en
Jeu de caractère Utf8
Date 2008-06-15T15:34:58
Norme de métadonnées ISO 19115
Version de la norme FDIS
::Auteur
 
Nom Budzanani Tacheba
Nom de l'organisme GMFS - SADC Secretariat, FANR Directorate
Rôle dans l'organisme Regional Coodinator
Responsabilité Point Of Contact
Téléphone +267 395 1863 ext 5067
Fax + 267 3924099
Adresse de livraison 116 Millenium Office Park, Kgale View
Ville Gaborone
Pays Botswana
Email btacheba@yahoo.co.uk