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Table 1 Summary of environmental data considered when fitting binary logistic and negative binomial geostatistical models to tsetse catch data

From: The development of high resolution maps of tsetse abundance to guide interventions against human African trypanosomiasis in northern Uganda

Environmental variable

Trap data range

Source

Spatial resolution (m)

Time period

Derivation

Enhanced vegetation index (EVI)

0.07–0.19

Landsat 5

30

December 2009

\( \left\{\frac{NIR- Red}{NIR+6\times RED-7.5\times BLUE+1}\right\} \)

Soil Moisture Index (SMI)

0.33–0.64

Landsat 5

30

December 2009

\( \frac{Tsmax- Ts}{Tsmax- Ts min} \), where Tsmax and Tsmin are the maximum and minimum surface temperatures for a given Normalised Difference Vegetation Index (NDVI) value. See Wang et al. [38]

At-satellite brightness temperature (°C)

25.1–28.9

Landsat 5

30

December 2009

Thermal Infrared Sensor (TIRS) band i.e. Band 6

Land surface temperature (LST)

27.9–34.5

Landsat 5

30

December 2009

At-satellite brightness temperature and NDVI were used to derive LST. Details on the algorithms used can be found in Ndossi et al. [39]

Elevation (m)

852–1210

Shuttle Radar Topography Mission (SRTM)

30

2000

SRTM Void Filled data

Slope (°)

0–7.8

Shuttle Radar Topography Mission (SRTM)

30

2000

Derived from SRTM elevation data using the hydrology tools within the Spatial Analyst Toolbox of ArcGIS (version 10.3.1)

Flow accumulation

0–1451

Shuttle Radar Topography Mission (SRTM)

30

2000

Derived from SRTM elevation data using the hydrology tools within the Spatial Analyst Toolbox of ArcGIS (version 10.3.1)

Fragmentation indices

Various

Advanced Spacebourne Thermal Emission and Reflection Radiometer (ASTER)

15

December 2010

Calculate Normalised Difference Vegetation Index, i.e. \( NDVI=\frac{NIR- Red}{NIR+ Red} \) and using a threshold of 0, designate pixels as either vegetated or not vegetated. The R package SDMTools was then used to derive the following patch statistics within 350 m of the trap:

 • Average distance between patches

 • Maximum distance between patches

 • Number of patches

 • Area covered by patches

 • Size of largest patch