Predicting continental scale malaria with land surface water predictors based on malaria dispersal mechanisms and high-resolution earth observation data
Kalthof, M. W. M. L., Gravey, M., Wijnands, F., & Karssenberg, D. (2023). Predicting continental scale malaria with land surface water predictors based on malaria dispersal mechanisms and high-resolution earth observation data. AGU GeoHealth. In review.
Overview of data locations and scripts for the Kalthof et al. 2023 publication
R scripts and data are in the repository above
2021 East Africa surface water data location:
Earth Engine scripts:
Script to classify and validate the Netherlands: https://code.earthengine.google.com/740a416d964f78acd79969536f530f9e
Script to classify East Africa: https://code.earthengine.google.com/3f508773522979dfa62a75bda7750b5f?noload=true
Script which averages multiple dates into the mean maps and filters the slopes: https://code.earthengine.google.com/ed8ee1bbade0b51f3759565b30da37ab?noload=true
Script which derived all statistics except distance from the African surface water maps: https://code.earthengine.google.com/f88d96c7c0435f2641a3c138e6a0da78
Script to derive the distance maps: https://code.earthengine.google.com/0ed07adb4422c93ca2775780c4f10adf?noload=true
Script to derive the distance statistics: https://code.earthengine.google.com/6957cefc6e8a89a543b8e7028bcea120