On this page you find:
By downloading one of the provided datasets you agree to the Geo-Wiki disclaimer.
Currently we are providing data collected via the Geo-Wiki in raw format, with no filtering
or error checking applied. Use at your own risk. In the future, we also will provide this data
in a filtered and consolidated format with quality flags.
IIASA-IFPRI Cropland Map | |
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The 1 km global IIASA-IFPRI cropland percentage map for the baseline year 2005 has been developed by integrating a number of individual cropland maps at global to regional to national scales. The individual map products include existing global land cover maps such as GlobCover 2005 and MODIS v.5, regional maps such as AFRICOVER and national maps from mapping agencies and other organizations. |
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Global Field Size Map | |
The global field size map has been produced at the same resolution as the global cropland map (1km) based on interpolation of field size data collected via a crowdsourced campaign using Geo-Wiki. A validation exercise revealed satisfactory agreement with control data, particularly given the relatively modest size of the field size dataset used to create the map. Both products will continue to be improved in the future. |
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Geo-Wiki validations | |
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The Geo-Wiki Project gathers validation data for three global land cover datasets. On this page, you can download these validation results and use it for your own applications. Currently, we just support the download of KMZ-file format. More formats (like .shp) will be supported in the near future. |
Download 2013-04-10 Please register / log in to see the download link. |
AusCover Geo-Wiki validations | |
The National Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia. Download the validations of this dataset. |
Download up-to-date (processed on demand) Please register / log in to see the download link. |
USAID Hackathon results | |
Geo-Wiki users were asked to identify the presence of cultivated land and settlements in samples taken from Ethiopia,
along with their confidence in doing so. These will be areas where land acquisitions may affect the local population
so publishing a better map of land availability might help to stop these acquisitions in the future, preserve the
livelihoods of the local population and improve local food security. The hackathon took place on September 14-16. You can find more information on USAID's event page. Find our final presentation video on Youtube. |
Download Download 2012-10-07 Please register / log in to see the download link. |
Land Cover Classification Competition II results | |
Owing to the importance of global land cover in disciplines such as climate change, food security
and land-use modelling, the creation of a global land cover calibration and validation dataset is
essential. To help us achieve this goal, we have established a global sample of validation points
which we wanted to classify in this competition. Contributors were presented with pixels overlaid on Google
Earth and we would like then to tell us what land cover types they can see up to a maximum of three classes.
As most pixels contain multiple land cover types, this will provide us with valuable information for future
validation of land cover maps and to get a better understanding on how much people have modified the landscape. This competition took place between January and March 2012. |
Download 2012-04-01 Please register / log in to see the download link. |
Geo-Wiki pictures public data | |
Using our mobile phone app (Geo-Wiki pictures) users can upload automatically geo-referenced photos, tagged with
information such as the compass direction and the angle of tilt. Users choose a classification and any other comments that they wish to add. Download a kml-file with anonymized data of those uploads. |
Download up-to-date (processed on demand) Please register / log in to see the download link. |
Uploaded pictures | |
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Using our mobile phone app (Geo-Wiki pictures) users can upload automatically geo-referenced photos, tagged with
information such as the compass direction and the angle of tilt. Users choose a classification and any other comments that they wish to add. Download a kml-file to overlay your uploads on Google Earth. |
Download up-to-date (processed on demand) Please register / log in to see the download link. |