Product Information

Available products and basic product specifications

Available products
Level 1 Level 2 Level 3
Precipitation Crop growth conditions Crop yield forecasts
Global radiation Drought index
Net radiation Climatic moisture index
Actual evapotranspiration Soil moisture index
Potential evapotranspiration
Sensible heat flux
Crops: Maize, sorghum, barley, wheat, rangeland
Change products = difference with the previous year or 5-year average
Basic product specifications
Projection Latitude-Longitude or METEOSAT projections
Spatial resolution 5 km at sub-satellite point
Data type Generic binary files, 8 or 16 bit data
Integration period 10-daily(dekadal), monthly, yearly
Timeliness 2-3 working days
Standard regions North West Africa (NWA), North Middle Africa (NMA), North East Africa (NEA), Middle East Africa (MEA), Southern Africa (SMA, SA), Europe (EUR), West Mediterranean (AS1), East Mediterranean (AS2).

Click here to see map.

Sub-sets Sub-regions as defined by client

The generic binary data products can be imported in almost any GIS and be viewed as spatially continuous maps. Furthermore, they can be used for further processing and analysis. When importing the files in a GIS, you will have to provide the numbers of rows and columns, and the number of bits per pixel. The number of rows and columns depend on the region for which you have requested the products. The number of bits per pixel depends on the product type. To make it easier for the user to process and evaluate the products, we have developed five ‘analysis tools’. Click here for more information.

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Product descriptions

Level 1
Precipitation Spatially continuous maps of precipitation in mm, based on  METEOSAT derived cloud durations and WMO-GTS rain gauge data.
Global radiation Daily averages of direct + diffuse solar radiation at the earth’s surface, based on METEOSAT derived atmospheric transmission and cloudiness, expressed in W/m2.
Net radiation Daily averages of absorbed – emitted solar and terrestrial radiation at the earth’s surface, based on METEOSAT derived surface albedo, surface temperature, air temperature, atmospheric transmission and cloudiness, expressed in W/m2.
Actual
evapotranspiration
The actual loss of water from the surface, due to the combined process of evaporation and transpiration. Values are based on METEOSAT derived surface albedo, surface temperature, air temperature, atmospheric transmission and cloudiness, expressed as total (mm) or average (mm/day).
Potential
evapotranspiration
The rate of evapotranspiration that will occur from a well watered, actively growing, short green crop completely covering the ground surface. Values are based on METEOSAT derived surface albedo, surface temperature, air temperature, atmospheric transmission and cloudiness, expressed as total (mm) or average (mm/day).
Level 2
Climatic moisture index Ratio of yearly rainfall and yearly potential evapotranspiration,

expressed in %.

Soil moisture index Ratio of yearly actual evapotranspiration and yearly potential evapotranspiration, expressed in %.
Drought index,

Growth conditions

Ratio of dekadal or monthly actual evapotranspiration and potential evapotranspiration, expressed in %.
Level 3
Crop yield forecast Dekadal or monthly estimate of end-of-season crop yield as a percentage of the non-water limited crop yield. This product is issued only during the second half of the growing season.

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Prices

Costing elements
Fixed cost per product 100 Euro
Variable costs per product 1 Euro per KiloPixel

Multiplication factors
– Region factor Full region sub-region/country
1 1.5
– Integration factor

 

Dekad Month Year
1 1.5 9
– Product factor

 

Level 1 Level 2 Level 3
1 1.5 3
– Actuality factor

 

Current growing season / year Historic data
1 0.5

Products prices are calculated as follows:

Fixed cost + Variable cost * Nr of KiloPixels * Region factor * Integration factor * Product factor * Actuality factor

Calculation examples for Iberian peninsula:

Frame size = 140*240 pixels
Number of KiloPixels = 33.6

One year of historical monthly precipitation products:

12 * (100 + 33.6 * 1.5 * 1.5 * 1.0 * 0.5 ) = 1654 Euro

One relative crop yield product for current growing season :

100 + 33.6 * 1.5 * 1.0 * 3.0 * 1.0   =   251 Euro

North Africa + Europe

May 2005 overview

Maps on this page show 1 pixel out of 9 pixels as relative information. Full detail or quantitative data products can be ordered from our product information page. Also sample data sets can be downloaded.

The image shows the relative evapotranspiration during this month. (black = low, green = high).

Difference of this months relative evapotranspiration compared to the five year average of March. Yellow = average conditions, red = below average and blue = above average.

The image shows the relative evapotranspiration during March-May . (black = low, green = high).

Difference of the relative evapotranspiration over March-May compared to the five year average. Yellow = average conditions, red = below average and blue = above average.

Rainfall during this month scaled between zero (black), and 50 or above (blue).

 

Rainfall  this month scaled between zero (black), and 150 or above (blue).

East Africa

May 2005 overview

Maps on this page show 1 pixel out of 16 pixels as relative information. Full detail or quantitative data products can be ordered from our product information page. Also sample data sets can be downloaded.

Relative evapotranspiration during this month (left) and the difference with the five year average (right).

 

Left image: Black = zero, Green = high relative evapotranspiration.

Right image: Red = lower values in 2005, Yellow = unchanged, Green = higher values in 2005.

Left: October-May season Evapotranspiration. (black = low, green = high). Right the difference with the five year average. Yellow = average conditions, red = below average and blue = above average.

Left: September-April season Maize yield forecast. (black = low, green = high). Right the difference with the five year average. Yellow = average conditions, black = below average and blue = above average.

Left: October-June season Sorghum yield forecast. (black = low, green = high). Right the difference with the five year average. Yellow = average conditions, black = below average and blue = above average.

Rainfall in the east African region for May, left; scaled between zero (red), and 50 mm or above (blue). Right; scaled between zero (red), and 150 mm or above (blue).

Monitoring & Early Warning Food Assessment by Satellite Technology [FAST]

May 2005 overview

Southern Portugal and almost whole Spain suffer from lack of precipitation. In southern Africa crop growth is below average due to drought for the northern countries  The crop yields for Zimbabwe and Botswana are expected to be between 6 and 11% below average. In contrast the crop forecast for Lesotho, Swaziland and South Africa is good. In western Africa the main crop season started a little below average.

SOUTHERN AFRICA

The precipitation of March in eastern Botswana and western Zimbabwe brought some relief, but it was too near to the end of the growing season to be of significant benefit for the crop growth. Further rainfall was absent. As the end of the growing season is near, the end of season crop yield estimates in the table below will not be subject to significant changes. As expected two months ago, South Africa, Lesotho and Swaziland are doing well, for the more northerly situated crop regions this year is not favorable. Remarkable is the situation in Zambia; though in the table presented by one figure, one should note that this is the sum of very low crop forecast in the South and a very good forecast in the North.

      

Left: Difference of the relative evapotranspiration with the five year average over the period September-May. Red = lower values, green = higher values.
Middle: Precipitation during September-May scaled from 0 (dark red) to 750 mm and over (blue).
Right: Maize end of season forecast relative to the 5 year average; scaled from 0 (red) to 100% (blue).

Country

Maize
yield % (*)

Sorghum
yield % (*)

Angola 3 4
Botswana -4 -9
Lesotho 42 14
Malawi 2 -3
Mozambique 3 -1
Namibia 0 0
South Africa 42
Swaziland 14 9
Zambia -3 -5
Zimbabwe -6 -12

(*)End of season crop yield estimate for the 2004-2005 season expressed as % difference relative to the previous five year average. (-) not significant / out of season.

Maize
yield % (*)
Benin  -7
Ghana -2
Ivory Coast -4
Togo -7

(*) End of season crop yield estimate for 2004 expressed as % difference relative to the previous five year average. (-) not significant / out of season.

NORTHERN AFRICA AND EUROPE

Drought remains in the southern part of the Iberian peninsula, the Balearic Islands, Sardinia, southern Italy and the eastern Ukraine. The southern Spanish and Portuguese forests are becoming susceptible to forest fire, although they are only at the verge of the dry season.

Precipitation during April scaled from 0 (red) to 50mm and over (blue).

EASTERN AFRICA

Heavy rains fell in the Horn of Africa, northern Zaire, Central Africa, Uganda, Tanzania and Yemen as displayed below. According to Reliefweb this resulted in severe flooding in Ethiopia, Somalia and Kenya.

  

Left: Evapotranspiration in May relative to the 5 year average , scaled from -20% (red)-20% (blue).
Right: Rainfall during May scaled from 0 (red) to 150 mm or over (blue).

As is indicated by the table below the crop development at the beginning of the season is not very good, and is quite variable. However if we take the recent rainfall into account (image to the right), we can foresee some improvement. For instance Somalia and Sudan have a bad start of the season, but recent rainfall is likely to have improved the situation. These rains are setting the start of the Meher growing season in Ethiopia. In Kenya the crop development is good in the east (mainly Maize) but even more favorable in the west (Sorghum, Cassava, Barley).

Maize
yield % (*)
Sorghum
yield % (*)
Burundi (sec.) -4 -3
Congo Dem. (sec.) -3
Ethiopia 1 5
Kenya 5 9
Rwanda 0 -3
Somalia -10 -3
Sudan -15 -6
Tanzania (sec.) -3 -3
Uganda -3 2

(*) End of season crop yield estimate for 2004 expressed as % difference relative to the previous five year average. (-) not significant / out of season.

WESTERN AFRICA
Although the absolute evapotranspiration is low in the Sahara, the relative evapotranspiration is exceptionally high. After last year Locust plagues this may be the onset for yet another year of this pest. As countries still suffer from last season’s pest (FEWS), the situation may become serious.


 

Left: Relative evapotranspiration during May 2005, scaled between zero (black), and 100 % or above (blue); right: relative to the 5 year average scaled between -20% (red), and 20% or above (blue).

At the start of the growing season, conditions are a little below average. However the season is just starting for the countries entered in the table, therefore these figures are only indicative in this stage.

NEW SERVICE COVERING CENTRAL ASIA

The image below shows the actual evapotranspiration during March 2005 for our central Asia service.

Actual evapotranspiration during February 2005 scaled from red (low) to blue (high values).

 

LEAFLET on drought and crop yield monitoring

Click here for a printable version 


MAPPING OF TEMPERATURE AT OBSERVATION HEIGHT


The Energy Balance Monitoring System calculates the energy balance fluxes at the earths surface. As intermediate products also the surface temperature and the temperature at the top of the atmospheric boundary layer are calculated. In the scope of the currently running CEWBMS project, much effort has been put in creating a new product; the temperature at observation height (1.5 meters). The spatially continuous temperature data will particularly satisfy users in agro- and hydro-meteorological fields, especially for the many parts of the world where the availability of meteorological data is limited. To see validation results of the temperature at observation height, click here.

Example: Mean temperature at observation height for the 3rd decade of September 2001.

Green=6°C, Yellow=16°C, Red=25°C


The China Energy and Water Balance Monitoring System (CEWBMS)

The Energy and Water Balance System, as described on our methodology page, is also implemented in China at the China National Satellite Meteorological Centre (CNSMC), the China National Desertification Monitoring Centre (CNDMC) and the Chinese Academy of Sciences – Institute of Geographical Sciences & Natural Resources Research (CAS-IGSNRR). Since the beginning of 2000, images of the GMS geostationay satellite are being received and energy balance products and early warning products are created. Below, two examples are shown of desertification indices. Left: Climatic Moisture Index (CMI) for the year 2001. Right: Soil Moisture Index (SMI) for the year 2001.  The CMI is defined as the ratio of rainfall and potential evapotranspiration, expressed in %, and indicates a climatic condition. The SMI is defined as the ratio of actual evapotranspiration and potential evapotranspiration, expressed in %, and indicates the actual desertification state of the ground.



SAMPLE DOWNLOAD SECTION 

To make it easier for interested visitors to evaluate our products, we have developed a software tool called ImageShow, which can be downloaded at our new sample download section. ImageShow allows you display our products as quantitative spatially continuous maps and offers some functionality for simple analysis. In principle, our generic binary data products can be imported in almost any Geographical Information System, but using ImageShow it will be easier for you to display and evaluate our full resolution samples. A number of these samples, showing full resolution crop growths conditions and drought indices for Africa, can be downloaded. Also a boundary overlay, which can be used in ImageShow, is available. Click on sample download in the link frame on the left to go to the improved download section.