# Malaria Atlas Project Earth-observation Covariates
*data products*

## Specifications
- **level**: L3
- **distributor**: malaria-atlas-project
- **access endpoint**: https://developers.google.com/earth-engine/datasets/publisher/malariaatlasproject
- **access model**: open
- **primary data portal url**: https://developers.google.com/earth-engine/datasets/publisher/malariaatlasproject
- **use cases**: ["Gap-filled EVI, land-surface temperature, brightness, and wetness covariates for malaria environmental modelling"]
- **deployment context**: orbital
- **entity type**: data_product
- **last verified date**: 2026-06-11
- **verified by**: community
- **claim status**: unclaimed
- **provider**: malaria-atlas-project
- **attributes**: {"level":"L3","distributor":"malaria-atlas-project","access_endpoint":"https://developers.google.com/earth-engine/datasets/publisher/malariaatlasproject","access_model":"open","primary_data_portal_url":"https://developers.google.com/earth-engine/datasets/publisher/malariaatlasproject","use_cases":"[\"Gap-filled EVI, land-surface temperature, brightness, and wetness covariates for malaria environmental modelling\"]","deployment_context":"orbital"}
- **relevance**: in-scope

## Editorial
The Malaria Atlas Project (MAP) Earth-observation Covariates are MODIS-derived, gap-filled environmental covariate layers at 1 km spatial resolution, distributed via Google Earth Engine under the MAP publisher account.[^gee-map-publisher] The current v061 dataset family includes monthly Enhanced Vegetation Index (EVI) composites with a confirmed start date of 2001-02, derived from the Terra and Aqua MODIS instruments.[^gee-v061-evi-monthly] Additional covariate layers include Tasseled Cap Brightness and Tasseled Cap Wetness at 1 km; temporal start dates for those layers are not individually confirmed. Gap-filling follows the automated GIS-based methodology described in Weiss et al. (2014), which produces spatially and temporally complete surfaces from MODIS time series.[^weiss-2014-gap-fill] Earlier 5 km versions of these datasets remain available in GEE under separate asset IDs; the v061 1 km versions supersede them for current use.[^gee-v061-evi-monthly] The product is licenced under CC-BY-NC-SA. Access is open via the Google Earth Engine data catalogue.

## Compositional position
- Malaria Atlas Project Earth-observation Covariates --[related]--> terra (missions)
- Malaria Atlas Project Earth-observation Covariates --[related]--> aqua (missions)
- vector-borne-disease (topics) --[topic_capabilities]--> Malaria Atlas Project Earth-observation Covariates
- malaria-atlas-project-data (data_products) --[related]--> Malaria Atlas Project Earth-observation Covariates

## Sources
- [gee-v061-evi-monthly] | EVI Malaria Atlas Project Gap-Filled EVI Monthly 1km (GEE Catalog) | https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly | tier=community | accessed=2026-06-11 | author=Google Earth Engine / Malaria Atlas Project
- [gee-map-publisher] | The Malaria Atlas Project - GEE Data Catalog publisher page | https://developers.google.com/earth-engine/datasets/publisher/malariaatlasproject | tier=community | accessed=2026-06-11 | author=Google Earth Engine / Malaria Atlas Project
- [weiss-2014-gap-fill] | Weiss et al. 2014 - An automated GIS-based tool for application of continent-scale remotely sensed data: a gap-filling methodology | https://doi.org/10.1016/j.rse.2014.02.016 | tier=peer-reviewed | accessed=2026-06-11 | author=Weiss et al.

---
Source: https://eo-atlas.org/data_products/malaria-atlas-project-eo-covariates
Maintainer: SpectraWorks B.V. (CC-BY 4.0)