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- Catalog Owner
- The Malaria Atlas Project
- Dataset Availability
- 2001-02-01T00:00:00Z–2024-12-01T00:00:00Z
- Dataset Provider
- The Malaria Atlas Project
- Contact
- The Malaria Atlas Project
- Cadence
- 1 Month
- Tags
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. After gap-filling the data was clipped to thresholds of [0, 1] to ensure valid values.
The gap-filled 8-daily ~1km outputs are then aggregated temporally to produce monthly and annual products.
Bands
Pixel Size
5000 meters
Bands
| Name | Min | Max | Pixel Size | Description |
|---|---|---|---|---|
Mean |
0* | 1* | meters | The mean value of the Enhanced Vegetation Index for each aggregated pixel. |
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. doi:10.1016/j.isprsjprs.2014.10.001
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('projects/malariaatlasproject/assets/EVI_v061/1km/Monthly') .filter(ee.Filter.date('2022-01-01', '2022-12-31')); var means = dataset.select('Mean'); var visParams = { min: 0.0, max: 1.0, palette: ['ffffff','fcd163','99b718','66a000','3e8601','207401','056201','004c00','011301'], }; Map.setCenter(0, 0, 2); Map.addLayer(means, visParams, 'Monthly EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index');