Oxford MAP: Malaria Atlas Project Fractional International Geosphere-Biosphere Programme Landcover

Page Summary

• This dataset, derived from the MODIS MCD12Q1 product, provides fractional landcover data at 5km resolution.

• It offers percentage coverage for 17 landcover classes, including an overall dominant class.

• The data is available annually from 2001 to 2013.

• This product was created by the Malaria Atlas Project at the University of Oxford.

Dataset Availability

2001-01-01T00:00:00Z–2013-01-01T00:00:00Z

Dataset Producer

Oxford Malaria Atlas Project

Earth Engine Snippet

ee.ImageCollection("Oxford/MAP/IGBP_Fractional_Landcover_5km_Annual")

Cadence

1 Year

Tags

landcover landuse-landcover map

igbp

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

Bands

Pixel size: 5000 meters (all bands)

Name	Units	Min	Max	Pixel Size	Description
Overall_Class		0	17	5000 meters	Dominant class of each resulting pixel
Water	%	0	100	5000 meters	Percentage of water
Evergreen_Needleleaf_Forest	%	0	100	5000 meters	Percentage of evergreen needleleaf forest
Evergreen_Broadleaf_Forest	%	0	100	5000 meters	Percentage of evergreen broadleaf forest
Deciduous_Needleleaf_Forest	%	0	100	5000 meters	Percentage of deciduous needleleaf forest
Deciduous_Broadleaf_Forest	%	0	100	5000 meters	Percentage of deciduous broadleaf forest
Mixed_Forest	%	0	100	5000 meters	Percentage of mixed forest
Closed_Shrublands	%	0	100	5000 meters	Percentage of closed shrublands
Open_Shrublands	%	0	100	5000 meters	Percentage of open shrublands
Woody_Savannas	%	0	100	5000 meters	Percentage of woody savannas
Savannas	%	0	100	5000 meters	Percentage of savannas
Grasslands	%	0	100	5000 meters	Percentage of grasslands
Permanent_Wetlands	%	0	100	5000 meters	Percentage of permanent wetlands
Croplands	%	0	100	5000 meters	Percentage of croplands
Urban_And_Built_Up	%	0	100	5000 meters	Percentage of urban and built up
Cropland_Natural_Vegetation_Mosaic	%	0	100	5000 meters	Percentage of cropland natural vegetation mosaic
Snow_And_Ice	%	0	100	5000 meters	Percentage of snow and ice
Barren_Or_Sparsely_Populated	%	0	100	5000 meters	Percentage of barren or sparsely populated
Unclassified	%	0	100	5000 meters	Percentage of unclassified
No_Data	%	0	100	5000 meters	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

CC-BY-NC-SA-4.0

Citations

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.

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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');

Open in Code Editor

Oxford MAP: Malaria Atlas Project Fractional International Geosphere-Biosphere Programme Landcover

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 …

Oxford/MAP/IGBP_Fractional_Landcover_5km_Annual, landcover,landuse-landcover,map

2001-01-01T00:00:00Z/2013-01-01T00:00:00Z

-90 -180 90 180

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