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Welcome to the download section of the FAPAR website.
This section includes a set of services which allow you to download FAPAR data according to 4 different forms.
More precisely:




  	
    It allows you to download monthly data of FAPAR values values over various Global Land Cover 2000 (GLC2000) regions in plate-carrée projection.
    	

This page permits to download monthly data of  values over various Global Land Cover 2000 (GLC2000) regions in plate-carrée projection, from September 1997 to June 2006 included.

In order to download the data, please click on the rectangular link to select the regional window and choose the period (month and year).

If you need another regional window, please visit and use the customized function.

South America
Africa
Northern Eurasia
Asia
South and South East Asia (Tropical Asia)
South Asia
South East Asia
Europe
China
North America
Solomon Islands
Australia
New Caledonia and Vanuatu
New Zealand
Fijian Islands
North Africa
Greenland and Iceland
Hawaii
France
It allows you to download monthly data of FAPAR values at the global scale in a 0.5° × 0.5° grid resolution for either sinusoidal or plate-carrée projection.


This page permits to download the  data at the global scale.
In order to download the data, please select above the projection and resolution as well as the period (month and year).


It allows you to customize data access in two different forms, namely, over a local site or a small regional window.
You are invited to provide us with the name, the latitude, and longitude of the geographical site or region you are interested in.
Since the processing of such demands is not (yet) done automatically, please be patient.

Local Site

       
10 Days Monthly


  
  

Small Area

Hdf

  
  

Special Request

You are welcome to fill the next text to send us your special data demand.

NB: We remind you that you need to be registered in order to download the data presented in the following pages (before you download any data, you may want to see their corresponding plots or maps in the result pages).

 

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