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Table 1 List of static and dynamic variables used to predict malaria proportion

From: Remote sensing of environmental risk factors for malaria in different geographic contexts

Type

Description

Source

Name

Units

Dynamic variables

Daytime temperature

Terra MODIS

LST

°C

Annual rainfall

IMERG

PREC

mm

Normalized difference vegetation index

MODIS NBAR

NDVI

Index

Normalized difference moisture index

MODIS NBAR

NDMI

Index

 

Distance to seasonal waterbodies

Landsat OLI

DISTSW

m

Static variables

Settlement mean density

PlanetScope

SETME

Index

Settlement max density

PlanetScope

SETMX

Index

Area below 2 m above nearest drainage

DEM, Stream network

HAND

%

Wetland cover

Midekisa et al. [27]

WETL

%

Woody vegetation cover

Midekisa et al. [27]

WOODY

%

Cropland cover

Midekisa et al. [27]

CROP

%

Open water cover

Midekisa et al. [27]

WATER

%

Sparse vegetation cover

Midekisa et al. [27]

SPVEG

%

Irrigation cover

Digitized from Google Earth

IRRI

%

  1. Dynamic variables were summarized for each year for the dry season (_dr), rainy season (_rn), and transition season (_tr)