Oxford MAP EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index

Oxford/MAP/EVI_5km_Monthly
Dataset Availability
2001-02-01T00:00:00Z–2015-06-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("Oxford/MAP/EVI_5km_Monthly")
Cadence
1 Month
Tags
evi map oxford vegetation

Description

The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and spatially to produce the monthly ≈5km product.

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
Mean 0* 1*

The mean value of the Enhanced Vegetation Index for each aggregated pixel.
FilledProportion % 0* 100*

A quality control band that indicates the percentage of each resulting pixel that was comprised of raw data (as opposed to gap-filled estimates).
* estimated min or max value

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.

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('Oxford/MAP/EVI_5km_Monthly')
                  .filter(ee.Filter.date('2015-01-01', '2015-12-31'));
var evi = dataset.select('Mean');
var eviVis = {
  min: 0.0,
  max: 1.0,
  palette: [
    'ffffff', 'fcd163', '99b718', '66a000', '3e8601', '207401', '056201',
    '004c00', '011301'
  ],
};
Map.setCenter(-60.5, -20.0, 2);
Map.addLayer(evi, eviVis, 'EVI');
Open in Code Editor
The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and spatially to produce the monthly …
Oxford/MAP/EVI_5km_Monthly, evi,map,oxford,vegetation
2001-02-01T00:00:00Z/2015-06-01T00:00:00Z
Google Earth Engine