This dataset has been produced from visual interpretation of digitally enhanced LANDSAT ETM images (Bands 4,3,2) acquired mainly in the year 2000-2005. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The land cover legend of Senegal, consisting of 55 classes, was set up using the F.A.O. LCCS methodology. To affine the interpretation, a set of aerial photos donated by USGS and the high resolution images of Google Earth have been used. The mapping scale used for the visual photo-interpretation was 1:100.000. The full resolution version of the Land Cover dataset consists of 23,922 polygons, covering an area of 19,659 thousands ha. There is also an aggregated version generated on the basis of a spatial criteria, which produces about the 11% reduction of the total amount of polygons. The spatially aggregated dataset (available for download) consists of 21,238 polygons. The Senegal Land Cover mapping was carried out in the framework of Global Land Cover Network (GLCN) activities.

Africover dataset

The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1995 - 1998. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The purpose of the Africover landcover database is to provide the information required for natural resource assessment and management, environmental modeling and decision-making. The LCCS legend for the country, a list of the LCCS classifiers used in the interpretation, LCCS glossary of terms, a list of thematic classes and their frequency in a mixed unit, and a report on the frequency and scale adequacy, can be found in the full resolution landcover database report found in the same folder as the dataset. FAO Project code GCP/RAF/287/ITA

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 1994-1999 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -WOODY_ID -WOODY_DESC You can download a zip archive containing: -the sd-woody-agg (.shp) -the Sudan Classifiers Used (.pdf) -the Sudan legend (.pdf and .xls) -the Sudan Legend - LCCS Import file (.xls) -the LCCS glossary_sudan (.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)

This dataset is a spatially reaggregated version of the original national full resolution landcover. The original full resolution dataset has been produced from visual interpretation of digitally enhanced LANDSAT TM images (30 m resolution). The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis. Source: FAO-LADA Project The data set is intended for free public access.

This full resolution land cover is an updated version of the landcover 2000. The dataset was created using the FAO/GLCN methodology and tools. The land cover mapping was carried out with the visual interpretation of digitally enhanced images acquired mainly in the period 2005-2010 (ASTER 2005-2010 and LANDSAT ETM 2005-2007). The legend was prepared using the FAO/UNEP international standard Land Cover Classification System (LCCS): a comprehensive, standardized a priori classification system, designed to meet specific user requirements and created for mapping exercises, independent of the scale or means used to map. The classification uses a set of independent diagnostic criteria that allows the correlation with existing classifications and legends. The dataset can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis. Source: WRI/FAO/DRSRS List of abbreviations: DRSRS - Kenya Department of Resource Surveys and Remote Sensing FAO - Food and Agriculture Organization of the United Nations GLCN - Global Land Cover Network LCCS - FAO/UNEP Land Cover Classification System UNEP - United Nations Environmental Programme WRI - World Resources Institute

Data publication: 2011-04-20

Supplemental Information:

FAO, Land and Water Division (NRL) has completed the new land cover of Kenya through the finalcial support of the World resources Institute (WRI) and with the technical assistance (field validation) of Kenya Meteorological Department of Resources Surveys and Remote Sensing (DRSRS).

Contact points:

Resource Contact: DRSRS - Kenya Department of Resource Surveys and Remote Sensing - Meteorological Department

Resource Contact: Florence Landsberg

Resource Contact: Antonio Di Gregorio

Metadata Contact: FAO GIS Unit

Resource constraints:

The data remains full property of the owners. It can be accessed, reproduced and distributed given that the owner information is explicitly acknowledged and displayed in the copyright information (I.E. Produced by FAO - Africover). The Authors do not assume any responsibilities for improper use of the data.

Online resources:

Africover

Land cover of Kenya 2008

The full resolution land cover has been produced from visual interpretation of digitally enhanced high-resolution LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1997. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis. The ADG software is available for download on the GLCN web site at http://www.glcn.org/sof_7_en.jsp. The shape main attributes correspond to the following fields: -ID -USERLABER -LCCCODE (unique LCCS code) You can download a zip archive containing: -the dataset eg-landcover (.shp) -the Egypt Classifiers Used (.pdf) -the Egypt legend (.pdf and .xls) -the Egypt Legend - LCCS Import file (.xls) -the Userlabel Definitions (.pdf) Note: the document Egypt Classifiers Used.pdf, is a list of all the LCCS classifiers used in the study area. They are grouped under the 8 major land cover types. In addition to the standard classifiers contained in LCCS the user may find “user defined†classifiers used by the map producer to add additional information to a specific class, not available in LCCS. The user-defined attributes are always coded with the letter “Z†.

This dataset is a spatially reaggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The data was aggregated by eliminating polygons below a certain area threshold to give priority to the classes belonging to Agriculture. This threshold corresponds to approx. a 30 % reduction in the polygon count. The dataset was then re-aggregated based on area threshold values. For more information on the area thresholds used to spatially aggregate the land cover data, please see the 'spatial-agg-procedure' document included in the zip file available here for download. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The data set is intended for free public access. The shape main attributes correspond to the following fields: -ID -HECTARES -USERLABEL -LCCCODE (unique LCCS code) -CODE1 -CODE2 -CODE3 -LC You can download a zip archive containing: -the dataset er-spatial-agg (.shp) -the Eritrea Classifiers Used (.pdf) -the Eritrea legend (.pdf and .xls) -the Eritrea Legend - LCCS Import file (.xls) -the spatial-agg-procedure (.pdf) -the Userlabel Definitions (.pdf) Note: the document Eritrea Classifiers Used.pdf, is a list of all the LCCS classifiers used in the study area. They are grouped under the 8 major land cover types. In addition to the standard classifiers contained in LCCS the user may find “user defined†classifiers used by the map producer to add additional information to a specific class, not available in LCCS. The user-defined attributes are always coded with the letter “Z†.

This dataset is a spatially reaggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 1995-1998. The data was aggregated by eliminating polygons below a certain area threshold to give priority to the classes belonging to Agriculture. This threshold corresponds to approx. a 30 % reduction in the polygon count. The dataset was then re-aggregated based on area threshold values. For more information on the area thresholds used to spatially aggregate the land cover data, please see the 'spatial-agg-procedure' document included in the zip file available here for download. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The data set is intended for free public access. The shape main attributes correspond to the following fields: -ID; -HECTARES; -USERLABEL; -LCCCODE (unique LCCS code); -CODE1; -CODE2; -CODE3; -LC You can download a zip archive containing: -the dataset sm-spatial-agg (.shp) -the Somalia Classifiers Used (.pdf) -the Somalia legend (.pdf and .xls) -the Somalia Legend - LCCS Import file (.xls) -the spatial-agg-procedure (.pdf) -the Userlabel Definitions (.pdf) Note: the document Somalia Classifiers Used.pdf, is a list of all the LCCS classifiers used in the study area. They are grouped under the 8 major land cover types. In addition to the standard classifiers contained in LCCS the user may find “user defined†classifiers used by the map producer to add additional information to a specific class, not available in LCCS. The user-defined attributes are always coded with the letter “Z†.

The full resolution dataset of roads have been taken from the DCW dataset.

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a woody component. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -WOODY_ID -WOODY_DESC You can download a zip archive containing: -the ke-woody-agg (.shp) -the Kenya Classifiers Used (.pdf) -the Kenya legend (.pdf and .xls) -the Kenya Legend - LCCS Import file (.xls) -the LCCS glossary_kenya(.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)

This dataset is a spatially reaggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The data was aggregated by eliminating polygons below a certain area threshold to give priority to the classes belonging to Agriculture. This threshold corresponds to approx. a 30 % reduction in the polygon count. The dataset was then re-aggregated based on area threshold values. For more information on the area thresholds used to spatially aggregate the land cover data, please see the 'spatial-agg-procedure' document included in the zip file available here for download. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The data set is intended for free public access. The shape main attributes correspond to the following fields: -ID -HECTARES -USERLABEL -LCCCODE (unique LCCS code) -CODE1 -CODE2 -CODE3 -LC You can download a zip archive containing: -the dataset ke-spatial-agg (.shp) -the Kenya Classifiers Used (.pdf) -the Kenya legend (.pdf and .xls) -the Kenya Legend - LCCS Import file (.xls) -the spatial-agg-procedure (.pdf) -the Userlabel Definitions (.pdf) Note: the document Kenya Classifiers Used.pdf, is a list of all the LCCS classifiers used in the study area. They are grouped under the 8 major land cover types. In addition to the standard classifiers contained in LCCS the user may find “user defined†classifiers used by the map producer to add additional information to a specific class, not available in LCCS. The user-defined attributes are always coded with the letter “Z†.

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -CULT_ID -CULT_DESC You can download a zip archive containing: -the er-cult-agg (.shp) -the Eritrea Classifiers Used (.pdf) -the Eritrea legend (.pdf and .xls) -the Eritrea Legend - LCCS Import file (.xls) -the LCCSglossary_eritrea (.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)

This dataset is a spatially reaggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 2000-2001. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis. The data set is intended for free public access. The shape main attributes correspond to the following fields: -ID -HECTARES -USERLABEL -LCCCODE (unique LCCS code) -CODE1 -CODE2 -CODE3 -LC You can download a zip archive containing: -the dataset drc-spatial-agg (.shp) -the DR Congo Classifiers Used (.pdf) -the DR Congo legend (.pdf and .xls) -the DR Congo Legend - LCCS Import file (.xls) -the LCCS glossary(.pdf) -the spatial-agg-procedure (.pdf) -the Userlabel Definitions (.pdf) Note: the document DR Congo Classifiers Used.pdf, is a list of all the LCCS classifiers used in the study area. They are grouped under the 8 major land cover types. In addition to the standard classifiers contained in LCCS the user may find “user defined†classifiers used by the map producer to add additional information to a specific class, not available in LCCS. The user-defined attributes are always coded with the letter “Z†.

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 1994-1999 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -CULT_ID -CULT_DESC You can download a zip archive containing: -the sd-cult-agg (.shp) -the Sudan Classifiers Used (.pdf) -the Sudan legend (.pdf and .xls) -the Sudan Legend - LCCS Import file (.xls) -the LCCSglossary_sudan (.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)

The full resolution land cover has been produced from visual interpretation of digitally enhanced high-resolution LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis. The ADG software is available for download on the GLCN web site at http://www.glcn.org/sof_7_en.jsp. The shape main attributes correspond to the following fields: -ID -USERLABER -LCCCODE (unique LCCS code) You can download a zip archive containing: -the dataset sm-landcover-ge (.shp) -the Somalia Classifiers Used (.pdf) -the Somalia legend (.pdf and .xls) -the Somalia Legend - LCCS Import file (.xls) -the Userlabel Definitions (.pdf) Note: the document Somalia Classifiers Used.pdf, is a list of all the LCCS classifiers used in the study area. They are grouped under the 8 major land cover types. In addition to the standard classifiers contained in LCCS the user may find “user defined†classifiers used by the map producer to add additional information to a specific class, not available in LCCS. The user-defined attributes are always coded with the letter “Z†.

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -CULT_ID -CULT_DESC You can download a zip archive containing: -the ke-cultiv-agg (.shp) -the Kenya Classifiers Used (.pdf) -the Kenya legend (.pdf and .xls) -the Kenya Legend - LCCS Import file (.xls) -the LCCSglossary_kenya(.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)

The Multipurpose Africover Database for the Environmental Resources is a digital georeferenced database on land cover and a geographic referential for the whole of Africa including: - geodetical homogeneous referential - toponomy - roads - hydrography It is produced at a 1:200,000 scale (1:100,000 for small countries and specific areas). Reinforcing national and sub-regional capacities for the establishment update and use of the geographic referential and land cover maps and spatial data bases is the core strategy of the Africover project: this has been the methodology adopted to ensure an operational approach and the sustainability of the initiative.

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a woody component. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 2000-2001 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -WOODY_ID -WOODY_DESC You can download a zip archive containing: -the drc-cult-agg (.shp) -the DR Congo Classifiers Used (.pdf) -the DR Congo legend (.pdf and .xls) -the DR Congo Legend - LCCS Import file (.xls) -the LCCSglossary_drcongo (.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)

This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a woody component. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1997 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -WOODY_ID -WOODY_DESC You can download a zip archive containing: -the tz-woody-agg (.shp) -the Tanzania Classifiers Used (.pdf) -the Tanzania legend (.pdf and .xls) -the Tanzania Legend - LCCS Import file (.xls) -the LCCSglossary_tanzania (.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)