Dataset: ESA Land Cover Climate Change Initiative (Land_Cover_cci): Water Bodies Map, v4.0#
Dataset identifier: esacci.LC.13-yrs.L4.WB.ASAR.Envisat.Map.4-0.r1
Data store: cciodp
How to open this dataset in AVL JupyterLab
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.LC.13-yrs.L4.WB.ASAR.Envisat.Map.4-0.r1')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.LC.13-yrs.L4.WB.ASAR.Envisat.Map.4-0.r1')

Map tiles and data from OpenStreetMap, under the ODbL.
Basic information#
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -180.0 to 180.0 |
| Bounding box latitude (°) | -90.0 to 90.0 |
| Time range | 2000-01-01 to 2012-12-31 |
| Time period | 13Y |
Click here for full dataset metadata.
Variable list#
Click on a variable name to jump to the variable’s full metadata.
| Variable | Long name | Units |
|---|---|---|
| wb_class | terrestrial or water pixel classification | [none] |
Full variable metadata#
wb_class#
| Field | Value |
|---|---|
| _Unsigned | true |
| long_name | terrestrial or water pixel classification |
| standard_name | land_cover_lccs |
| flag_values | 1, 2 |
| flag_meanings | terrestrial water |
| valid_min | 1 |
| valid_max | 2 |
| orig_data_type | uint8 |
| fill_value | 0 |
| size | 33592320000 |
| shape | 129600, 259200 |
| chunk_sizes | 2048, 2048 |
| file_chunk_sizes | 2048, 2048 |
| data_type | uint8 |
| dimensions | lat, lon |
| file_dimensions | lat, lon |
crs#
| Field | Value |
|---|---|
| wkt | GEOGCS[\"WGS 84\", DATUM[\"World Geodetic System 1984\", SPHEROID[\"WGS 84\", 6378137.0, 298.257223563, AUTHORITY[\"EPSG\",\"7030\"]], AUTHORITY[\"EPSG\",\"6326\"]], PRIMEM[\"Greenwich\", 0.0, AUTHORITY[\"EPSG\",\"8901\"]], UNIT[\"degree\", 0.017453292519943295], AXIS[\"Geodetic longitude\", EAST], AXIS[\"Geodetic latitude\", NORTH], AUTHORITY[\"EPSG\",\"4326\"]] |
| i2m | 0.0013888888,0.0,0.0,-0.0013888888,-180.0,90.0 |
| orig_data_type | int32 |
| fill_value | 9223372036854775807 |
| size | 1 |
| shape | 1 |
| chunk_sizes | 1 |
| file_chunk_sizes | 1 |
| data_type | int64 |
| dimensions | |
| file_dimensions |
Full dataset metadata#
| Field | Value |
|---|---|
| title | ESA Land Cover Climate Change Initiative (Land_Cover_cci): Water Bodies Map, v4.0 |
| project | Climate Change Initiative - European Space Agency |
| references | http://www.esa-landcover-cci.org/ |
| comment | |
| product_version | 4-0 |
| source | ASAR |
| history | lc-wb-classification-1.0,lc-user-tools-3.10 |
| ecv | LC |
| institute | Universite Catholique de Louvain |
| processing_level | L4 |
| product_string | Map |
| data_type | WB |
| sensor_id | ASAR |
| platform_id | Envisat |
| abstract | As part of the ESA Land Cover Climate Change Initiative (CCI) project a static map of open water bodies at 150 m spatial resolution at the equator has been produced. The CCI WB v4.0 is composed of two layers: 1. A static map of open water bodies at 150 m spatial resolution resulting from a compilation and editions of land/water classifications: the Envisat ASAR water bodies indicator, a sub-dataset from the Global Forest Change 2000 - 2012 and the Global Inland Water product. This product is delivered at 150 m as a stand-alone product but it is consistent with class "Water Bodies" of the annual MRLC (Medium Resolution Land Cover) Maps. The product was resampled to 300 m using an average algorithm. Legend : 1-Land, 2-Water 2. A static map with the distinction between ocean and inland water is now available at 150 m spatial resolution. It is fully consistent with the CCI WB-Map v4.0. Legend: 0-Ocean, 1-Land. To cite the CCI WB-Map v4.0, please refer to : Lamarche, C.; Santoro, M.; Bontemps, S.; D’Andrimont, R.; Radoux, J.; Giustarini, L.; Brockmann, C.; Wevers, J.; Defourny, P.; Arino, O. Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community. Remote Sens. 2017, 9, 36. https://doi.org/10.3390/rs9010036 |
| publication_date | 2016-03-31T14:54:47 |
| uuid | 7e139108035142a9a1ddd96abcdfff36 |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/7e139108035142a9a1ddd96abcdfff36 |
| cci_project | LC |