Kilombero_catchment_land_cover_2018_WTL1 (Map Service)
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Current Version: 10.81
Service Description: Summary: Land cover map for the year 2018 of the Kilombero catchment in Tanzania at 20m resolution.
Recommended citation: Cisneros, P. & Ramírez, M. (2019). Land cover,
habitat and wildlife corridor mapping in the Kilombero catchment (Unpublished
Master's Thesis). University of Copenhagen, Copenhagen, Denmark.
Satellite Data: Sentinel 2 composite (Nov 2016-Nov 2018) | Sentinel 1 composite (Feb 2017-Nov 2018)
Spatial resolution: 20 mts
Classification method (before further manual minor improvements based on expert opinions)
Random Forest
Overall accuracy = 75%
Kappa accuracy = 70%
Identifying
8 classes: Tree Cover (1), which will be
reclassified into Moist Forest, Dry
Forest and Tree Plantation*
classes in another Random Forest classification; Shrub
cover / Natural Mosaic (2); Grassland (3); Croplands
(4); Wetlands (5); Urban Areas (6); Open Water (7); and Clouds
(8), which is removed and substituted by the other classes in a later step of
the process. Roads layer was obtained from the World Food
Programme Geonode portal. It was published on May 2018. Available at https://geonode.wfp.org/layers/ogcserver.gis.wfs.org%3Ageonode%3Atza_trs_road[Accessed
11 Feb 2019]
* The biggest areas of Tree Plantations, Large-scale
Crops, and Railways have been
done manually based on the classification results and other maps available.
Map Name: Map
Legend
All Layers and Tables
Layers:
Tables:
Description: Summary: Land cover map for the year 2018 of the Kilombero catchment in Tanzania at 20m resolution.
Recommended citation: Cisneros, P. & Ramírez, M. (2019). Land cover,
habitat and wildlife corridor mapping in the Kilombero catchment (Unpublished
Master's Thesis). University of Copenhagen, Copenhagen, Denmark.
Satellite Data: Sentinel 2 composite (Nov 2016-Nov 2018) | Sentinel 1 composite (Feb 2017-Nov 2018)
Spatial resolution: 20 mts
Classification method (before further manual minor improvements based on expert opinions)
Random Forest
Overall accuracy = 75%
Kappa accuracy = 70%
Identifying
8 classes: Tree Cover (1), which will be
reclassified into Moist Forest, Dry
Forest and Tree Plantation*
classes in another Random Forest classification; Shrub
cover / Natural Mosaic (2); Grassland (3); Croplands
(4); Wetlands (5); Urban Areas (6); Open Water (7); and Clouds
(8), which is removed and substituted by the other classes in a later step of
the process. Roads layer was obtained from the World Food
Programme Geonode portal. It was published on May 2018. Available at https://geonode.wfp.org/layers/ogcserver.gis.wfs.org%3Ageonode%3Atza_trs_road[Accessed
11 Feb 2019]
* The biggest areas of Tree Plantations, Large-scale
Crops, and Railways have been
done manually based on the classification results and other maps available.
Copyright Text: Cisneros, P. & Ramírez, M. (2019). Land cover, habitat and wildlife corridor mapping in the Kilombero catchment (Unpublished Master's Thesis). University of Copenhagen, Copenhagen, Denmark.
Spatial Reference: 102100
Single Fused Map Cache: true
Capabilities: Map,TilesOnly,Tilemap
Tile Info:
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- Width: 256
- DPI: 96
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- Format: Mixed
- Compression Quality: 75
- Origin:
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- Spatial Reference:
102100
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Spatial Reference:
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Units: esriMeters
Supported Image Format Types: Mixed
Export Tiles Allowed: false
Max Export Tiles Count: 100000
Document Info: - Title: Kilombero catchment land cover 2018
- Author: diego.juffe_UNEP_WCMC
- Comments:
- Subject: Land cover map for the year 2018 of the Kilombero catchment in Tanzania at 20m resolution.
- Category:
- Keywords: Tanzania, Africa, Landcover