Spatially aggregated landcover for Tunisia (AFRICOVER)
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.
Simple
- Date ( Revision )
- 2010-11-26T00:00:00
- Edition
- Second
- Presentation form
- Digital map
- Purpose
- The purpose of the landcover database is to provide the information required for natural resource assessment and management, environmental modeling and decision-making.
- Status
- Completed
- Maintenance and update frequency
- As needed
- Keywords
-
- landcover
- environment
- natural resources
- agriculture
- forest
- rangeland
- management
- land cover
- Tag_GISLAB
- Tag_landcover
- Keywords ( Place )
-
- Tunisia
- Use constraints
- Copyright
- Other 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.
- Spatial representation type
- Vector
- Distance
- 30 m
- Metadata language
- eng
- Character set
- UTF8
- Topic category
-
- Imagery base maps earth cover
![thumbnail](https://data.apps.fao.org:/map/catalog/srv/api/regions/geom.png?geomsrs=EPSG:4326&geom=POLYGON((11.5817 30.2344,11.5817 37.3404,7.49222 37.3404,7.49222 30.2344,11.5817 30.2344)))
- Supplemental Information
- Within the FAO program Land Degradation Assessment in Drylands (LADA), the present "Global Assessment of Land Degradation and Improvement" uses remote sensing to identify areas where significant biological change is happening, both hot spots of land degradation and bright spots of land improvement. In the next phase of the program, hot spots and bright spots will be further characterised in the field by national teams.
- Reference system identifier
- 32633 - WGS_1984_UTM_Zone_32N
- Distribution format
-
-
ESRI Shapefile
(
)
-
ESRI Shapefile
(
)
- OnLine resource
-
Tunisia_Aug08.zip
(
WWW:DOWNLOAD-1.0-http--download
)
Spatially aggregated landcover for Tunisia
gmd:MD_Metadata
- File identifier
- 4ce7bc66-e5cd-4d6b-ab68-54223f97d1c9 XML
- Metadata language
- eng
- Character set
- UTF8
- Date stamp
- 2024-06-26T10:20:08
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Overviews
![overview](https://storage.googleapis.com/fao-maps-catalog-data/uuid/4ce7bc66-e5cd-4d6b-ab68-54223f97d1c9/thumbnail/Tunisia_lc_s.png)
Spatial extent
![thumbnail](https://data.apps.fao.org:/map/catalog/srv/api/regions/geom.png?geomsrs=EPSG:4326&geom=POLYGON((11.5817 30.2344,11.5817 37.3404,7.49222 37.3404,7.49222 30.2344,11.5817 30.2344)))
Provided by
![logo](https://data.apps.fao.org:/map/catalog/srv/../images/logos/d5a5b43b-6e52-4ec6-94af-f95c6e4dac24.png)