Table 1 Summary of data inputs, manipulations and outputs in the Human Footprint workflow

From: Global terrestrial Human Footprint maps for 1993 and 2009

Source

Data used

Temporal range

Resolution

Data manipulations

Outputs

REF. 27

Average, stable lights, & cloud free coverages

1994, 2009

30 arc second, ~1 km at equator

1) Intercalibrate across years

2) reproject and resample to 1 km raster basemap

3) Convert to binary map of areas exhibiting a Digital Number equal to or above ‘20’.

4) Assign these areas the pressure score of ‘10’.

Built1994.tif

Built2009.tif

Data Citation 2

Gridded population of the world GPWv3, density grids

1990, 2010

2.5 arc minute, ~5 km at equator

1) reproject and resample to 1 km raster basemap

2) Assign pressure score using equation (1) in methods

Popdensity1190.tif

Popdensity2010.tif

REF. 27

Average, stable lights, & cloud free coverages

1994, 2009

30 arc second, ~1 km at equator

1) Intercalibrate across years

2) reproject and resample to 1 km raster basemap

3) Create 11 equal quintile bins for 1994.

4) Assign pressure scores to bins from 0–10, for 1994, and using the same DN thresholds for 2009.

Lights1994.tif

Lights2009.tiff

Data Citation 3

University of Maryland Global Land Cover Classifications 1992–1993

1992–1993

1 km

1) reproject and resample to 1 km raster basemap

2) Convert to binary map showing crop lands

3) Exclude all areas already mapped as built

4) Assign crop lands a pressure score of ‘7’.

Croplands1993.tif

REF. 40

GlobCover Version 2.3 2009

2005–2006

300 m

1) reproject and resample to 1 km raster basemap

2) Convert to binary map showing crop lands

3) Exclude all areas already mapped as built

4) Assign crop lands a pressure score of ‘7’.

Croplands2005.tif

REF. 41

M3-Pasture data

2000

5 min, ~10 km at equator

1) reproject and resample to 1 km raster basemap

2) Exclude all areas already mapped as built or crop lands

3) Assign pressure score of 4, weighted by percent pasture lands

Pasturelands.tif

Data Citation 4

Global Roads Open Access Data Set (gROADS) v1

1980–2010

Vector data, accurate to 500 m

1) reproject and covert to 1 km raster basemap

2) Exclude trails and private roads

3) Assign pressure score of ‘8’ to roaded pixels, and ‘4’ to adjacent pixels, exponentially decaying to 0 at 15 km.

Roadways.tif

REF. 30

Vector Map Level 0 (VMap), railways

~1990

Vector data, accurate to 1 km

1) reproject and covert to 1 km raster basemap

2) Assign pressure score of ‘8’ to rail pixels

Railways.tif

REF. 48

HydroSHEDS, stream discharge

No timeframe

3 arc second, ~100 m at equator

1) reproject and covert to 1 km raster basemap

2) Use equations (2,3,4 to determine stream depth

3) Exclude all stream reaches less than 2 m

4) exclude all reaches no within 80 km of a stream bank which is within 4 km of a pixel with a DN>4, in 1994 or 2009.

5) Add coastlines within 80 km of a coastal bank which is within 4 km of a pixel with a DN>4, in 1994 or 2009.

6) Assign pressure score of ‘4’ to adjacent pixels, exponentially decaying to 0 at 15 km.

Navwater1994.tif

Navwater2009.tif

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