Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2020
|
| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.920852 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867171869896998912 |
|---|---|
| author | Szantoi, Zoltan Brink, Andreas Lupi, Andrea Mammone, Claudio Jaffrain, Gabriel |
| author_facet | Szantoi, Zoltan Brink, Andreas Lupi, Andrea Mammone, Claudio Jaffrain, Gabriel |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The Mbam Djerem land cover dataset covers an area of 11510km2 and mapped with dichotomous (8 land cover classes) level based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover map was derived (2016). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 1254 verified land cover points based on the 8 dichotomous level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_920852 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Mbam Djerem Key Landscape for Conservation Land Cover and Validation Datasets (2016) Szantoi, Zoltan Brink, Andreas Lupi, Andrea Mammone, Claudio Jaffrain, Gabriel Key Landscape for Conservation; Land cover; Mbam Djerem; validation data The Mbam Djerem land cover dataset covers an area of 11510km2 and mapped with dichotomous (8 land cover classes) level based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover map was derived (2016). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 1254 verified land cover points based on the 8 dichotomous level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020. |
| title | Mbam Djerem Key Landscape for Conservation Land Cover and Validation Datasets (2016) |
| topic | Key Landscape for Conservation; Land cover; Mbam Djerem; validation data |
| url | https://doi.org/10.1594/PANGAEA.920852 |