CM Box User GuideMain Page | About | Special pages | Log in

Printable version | Disclaimer | Privacy policy | Current revision

(Difference between revisions)

Revision as of 12:35, 15 June 2006
Peter (Talk | contribs)
('''Two basic modelling options''')
← Previous diff
Revision as of 12:35, 15 June 2006
Peter (Talk | contribs)
('''Two basic modelling options''')
Next diff →
Line 17: Line 17:
* A regularly spaced grid (sometimes called raster). In this case, grid points do not coincide with meteorological stations. * A regularly spaced grid (sometimes called raster). In this case, grid points do not coincide with meteorological stations.
- [[Image:graph6.jpg|thumb|'''Crop forecasting grid for Afghanistan (0.5 degree distance)'''|400px|right]]+ [[Image:graph6.jpg|thumb|'''Example crop forecasting grid for Afghanistan (0.5 degree distance)'''|400px|right]]

Revision as of 12:35, 15 June 2006

Two basic modelling options

A crop monitoring program has to be based on data from different locations inside the country of region that needs to be monitored.

Technically these monitoring locations are points. Points can be pinpointed at the earth’s surface with coordinates. The coordinate system that is used in crop forecasting is called a geographic coordinate system whereby the coordinates are expressed in Longitude - Latitude pairs.

Example : the geographic coordinates of Pnom Penn (Cambodia) are:

Normally expressed as 104.917445, 11.558831 (longitude always first). Read more: Geographic Coordinates

Depending on the circumstances crop forecasting can be undertaken in

Rainfall stations in Africa
Enlarge
Rainfall stations in Africa
Example crop forecasting grid for Afghanistan (0.5 degree distance)
Enlarge
Example crop forecasting grid for Afghanistan (0.5 degree distance)



Within the crop forecasting tools these locations are

When setting up a crop monitoring program two basic approaches exist


gridding before modelling, and modelling before gridding. Advantages and disadvantages in terms of errors, labour and accuracy of forecasts.

Page generated in 0.147621 seconds.