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

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Oxford/MAP/EVI_5km_Monthly
Dataset Availability
2001-02-01T00:00:00Z–2015-06-01T00:00:00
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("Oxford/MAP/EVI_5km_Monthly")
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.