::Identification info

Title Crop Yield Assessments (CY) - Malawi (MWI) - 2008
Date 2008-06-22 (publication)
Edition 4.0
Presentation form Document Digital
Language en
Language fr
Character set Utf8
Abstract 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.
Supplemental Information Crop Yield estimates are generated following the procedure described in the document "GMFS_S5 Productsheet Crop Yield"
Purpose 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.
Status On Going
Topic category Farming
Descriptive keywords Crop Yield Assessments, CY (theme).
Descriptive keywords Malawi, SADC region (place).
Spatial representation type Vector
Spatial representation type Text Table
::Equivalent scale
Denominator 1000000
::Geographic box
North bound latitude
West bound longitude

East bound longitude
South bound latitude
Begin date 2007-10-01T02:00:00
End date 2008-04-30T02:00:00
Access constraints Restricted
Use constraints Intellectual Property Rights
Other constraints No Use constraints provided appropriate acknowledgement is given.
Maintenance and update frequency Annually
::Point of contact
Individual name Bernard Tychon
Organisation name University of Liège
Role Point Of Contact
Voice +32 63 23 08 29
Facsimile +32 63 23 08 00
Delivery point Bâtiment FUL, 185 Avenue de Longwy
City Arlon
Postal code B-6700
Country Belgium
Electronic mail address [email protected]
::Point of contact
Individual name Damien Rosillon
Organisation name University of Liège
Role Principal Investigator
Voice +32 63 23 09 75
Facsimile +32 63 23 08 00
Delivery point Bâtiment FUL, 185 Avenue de Longwy
City Arlon
Postal code B-6700
Country Belgium
Electronic mail address [email protected]
::Distribution info
OnLine resource Available through the GMFS ftp site. Request login to Point of Contact
OnLine resource Product Sheet Crop Yield Assessments
::Reference system info
Code Geographic, WGS 1984
::Data quality info
Hierarchy level Dataset
File identifier 20d7b390-4063-11dd-a6a0-0014385046ad
Language en
Character set Utf8
Date stamp 2008-06-22T16:05:04
Metadata standard name ISO 19115
Metadata standard version FDIS
::Metadata author
Individual name Budzanani Tacheba
Organisation name Consorzio ITA
Position name Regional Coordinator
Role Publisher
Voice +267 365 1865 ext 5067
Delivery point 116 Millenium Office Park, Kgale Mews,
City Gaborone
Administrative area South East
Postal code BW
Country Botswana
Electronic mail address [email protected]