ESAEducationHomeWeather and ClimateGlobal ChangeNatural Disasters
   
Coastal change
Danube Delta change detectionOil spills
Deforestation
Bardia National ParkCongo River BasinKameng-Sonitpur Elephant ReserveKilimanjaroRondoniaShillong and Guwahati
Ice
Antarctica 2003Climate change and glaciersGlacier analysis using radar imageryGlacial retreat in the AlpsGlacier Ice FlowMonitoring of glaciers in the HimalayasRemote sensing of ice and snow
Urbanisation
CairoCity of KathmanduCórdobaHimalayasKathmandu ValleyLagos
Vegetation
Annapurna Conservation AreaLost in the AndesNgorongoro Conservation AreaNiger Inland DeltaVegetation in South America
 
 
 
 
 
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MERIS mosaic of South America, 2003
MERIS mosaic of South America
The MERIS sensor and the Globcover Project
 
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b) The GlobCover project
 
The GlobCover initiative was developed to generate a global land cover map for the years 2005 and 2006. The service was designed in a way that would make it possible to update the map. It is an ESA initiative that was launched in 2005, and is led by an international network of partners including EEA, FAO, GOFC-GOLD, IGBP, JRC, and UNEP.

GlobCover uses Envisat’s MERIS fine resolution (300m) source mode data acquired between the end of 2004 and mid 2006 as its main data source. For maximum user benefit, the thematic legend was made compatible with the UN Land Cover Classification System (LCCS).

The following GlobCover products are generated on a global scale with a spatial resolution of 300 metres:

  • Bimonthly MERIS FR Composites
  • Annual MERIS FR Composites
  • Land Cover Classification
 
 
The MERIS FR Composite products are temporal composites of surface reflectance generated on a bimonthly and annual basis. They are an output of the GlobCover pre-processing chain applying geometric and radiometric corrections.

The bimonthly MERIS FR composite is computed every 2 months and provides, for each spectral band, the average surface reflectance calculated from all valid observations of this 2-month period.

The annual MERIS FR composite is computed by averaging the surface reflectance values of the bimonthly product over an entire year.

The bimonthly composites are the products we are going to use when we compare them with the SPOT VEGETATION NDVI product. NDVI is already calculated in this product, following the quality controls stipulated.
 
 

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Vegetation in South America
Background
Vegetation in South AmericaMain EcosystemsVegetation IndicesSPOT VEGETATION imageryThe MERIS sensor and the Globcover Project
Exercises
Exercise 1: NDVI - Vegetation from spaceExercise 2 : NDVI AnimationExercise 3: NDVI dynamics by biogeographical zones
Related links
MERIS product handbookMIRAVI
 
 
 
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