- Dataset Availability
- 2001-01-01T00:00:00Z–2013-01-01T00:00:00Z
- Dataset Provider
- Oxford Malaria Atlas Project
- Earth Engine Snippet
-
ee.ImageCollection("Oxford/MAP/IGBP_Fractional_Landcover_5km_Annual")
- Cadence
- 1 Year
- Tags
Description
The underlying dataset for this landcover product is the IGBP layer found within the MODIS annual landcover product (MCD12Q1). This data was converted from its categorical format, which has a ≈500 meter resolution, to a fractional product indicating the integer percentage (0-100) of the output pixel covered by each of the 17 landcover classes (1 per band).
This dataset was produced by Harry Gibson and Daniel Weiss of the Malaria Atlas Project (Big Data Institute, University of Oxford, United Kingdom, https://malariaatlas.org/).
Bands
Resolution
5000 meters
Bands
| Name | Units | Min | Max | Description |
|---|---|---|---|---|
Overall_Class |
0 | 17 | Dominant class of each resulting pixel |
|
Water |
% | 0 | 100 | Percentage of water |
Evergreen_Needleleaf_Forest |
% | 0 | 100 | Percentage of evergreen needleleaf forest |
Evergreen_Broadleaf_Forest |
% | 0 | 100 | Percentage of evergreen broadleaf forest |
Deciduous_Needleleaf_Forest |
% | 0 | 100 | Percentage of deciduous needleleaf forest |
Deciduous_Broadleaf_Forest |
% | 0 | 100 | Percentage of deciduous broadleaf forest |
Mixed_Forest |
% | 0 | 100 | Percentage of mixed forest |
Closed_Shrublands |
% | 0 | 100 | Percentage of closed shrublands |
Open_Shrublands |
% | 0 | 100 | Percentage of open shrublands |
Woody_Savannas |
% | 0 | 100 | Percentage of woody savannas |
Savannas |
% | 0 | 100 | Percentage of savannas |
Grasslands |
% | 0 | 100 | Percentage of grasslands |
Permanent_Wetlands |
% | 0 | 100 | Percentage of permanent wetlands |
Croplands |
% | 0 | 100 | Percentage of croplands |
Urban_And_Built_Up |
% | 0 | 100 | Percentage of urban and built up |
Cropland_Natural_Vegetation_Mosaic |
% | 0 | 100 | Percentage of cropland natural vegetation mosaic |
Snow_And_Ice |
% | 0 | 100 | Percentage of snow and ice |
Barren_Or_Sparsely_Populated |
% | 0 | 100 | Percentage of barren or sparsely populated |
Unclassified |
% | 0 | 100 | Percentage of unclassified |
No_Data |
% | 0 | 100 | Percentage of no data |
Overall_Class Class Table
| Value | Color | Description |
|---|---|---|
| 0 | #032f7e | Water |
| 1 | #02740b | Evergreen_Needleleaf_Fores |
| 2 | #02740b | Evergreen_Broadleaf_Forest |
| 3 | #8cf502 | Deciduous_Needleleaf_Forest |
| 4 | #8cf502 | Deciduous_Broadleaf_Forest |
| 5 | #a4da01 | Mixed_Forest |
| 6 | #ffbd05 | Closed_Shrublands |
| 7 | #ffbd05 | Open_Shrublands |
| 8 | #7a5a02 | Woody_Savannas |
| 9 | #f0ff0f | Savannas |
| 10 | #869b36 | Grasslands |
| 11 | #6091b4 | Permanent_Wetlands |
| 12 | #ff4e4e | Croplands |
| 13 | #999999 | Urban_and_Built-up |
| 14 | #ff4e4e | Cropland_Natural_Vegetation_Mosaic |
| 15 | #ffffff | Snow_and_Ice |
| 16 | #feffc0 | Barren_Or_Sparsely_Vegetated |
| 17 | #020202 | Unclassified |
Terms of Use
Terms of Use
Citations
Weiss, D.J., P.M. Atkinson, S. Bhatt, B. Mappin, S.I. Hay & P.W. Gething (2014) An effective approach for gap-filling continental scale remotely sensed time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 106-118.
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('Oxford/MAP/IGBP_Fractional_Landcover_5km_Annual') .filter(ee.Filter.date('2012-01-01', '2012-12-31')); var landcover = dataset.select('Overall_Class'); var landcoverVis = { min: 1.0, max: 19.0, palette: [ '032f7e', '02740b', '02740b', '8cf502', '8cf502', 'a4da01', 'ffbd05', 'ffbd05', '7a5a02', 'f0ff0f', '869b36', '6091b4', '999999', 'ff4e4e', 'ff4e4e', 'ffffff', 'feffc0', '020202', '020202' ], }; Map.setCenter(-88.6, 26.4, 1); Map.addLayer(landcover, landcoverVis, 'Landcover');