Published August 4, 2020 | Version v1
Dataset Open

Data from: Detailed temporal mapping of global human modification from 1990 to 2017

  • 1. Conservation Planning Technologies*
  • 2. The Nature Conservancy
  • 3. University of California, Davis

Description

Data on the extent, patterns, and trends of human land use are critically important to support global and national priorities for conservation and sustainable development. To inform these issues, we created a series of detailed global datasets for 1990, 2000, 2010, 2015, and 2017 to evaluate temporal and spatial trends of land use modification of terrestrial lands (excluding Antarctica). Our novel datasets are detailed (0.09 km2 resolution), temporally consistent (for 1990-2015), comprehensive (11 change stressors, 14 current), robust (using an established framework and incorporating classification errors and parameter uncertainty), and strongly validated. We also provide a dataset for ~2017 with 14 stressors for an even more comprehensive dataset. Also provided is a land/water mask to support subsequent analyses.

Please also be sure to check your spam folder if you do not receive an email with the link from Dryad, which is provided because of the large file size.

Notes

The file naming convention for the zip-files that contain the datasets provided here is as follows:

gHM_landLakeReservoirOcean300m.zip - contains TIFs at 300 m resolution to represent the following classes: 1=land, 2=lake (natural water bodies), 3=reservoirs (water bodies created by dams), and 4=ocean.

gHMv1_300m_1990_change.zip - contains TIFs at 300 m resolution for calculating change between 1990 and 2000, 2010, or 2015.

gHMv1_300m_2000_change.zip - contains TIFs at 300 m resolution for calculating change between 2000 and 1990, 2010, or 2015.

gHMv1_300m_2010_change.zip - contains TIFs at 300 m resolution for calculating change between 2010 and 1990, 2000, or 2015.

gHMv1_300m_2015_change.zip - contains TIFs at 300 m resolution for calculating change between 2015 and 1990, 2000, or 2010.

gHMv1_300m_2017_static.zip - contains TIFs at 300 m resolution that contains all stressors that represents ~2017 conditions. This is NOT to be used to compare to other "change" datasets.

gHMv1_1000m_2017_static_stressors.zip - contains TIFs at 1000 m resolution, where each major stressor group is separate: "static_builtup" (urban & built-up), "static_ag" (agriculture and biological harvesting of forests), "static_energy" (energy production and mining), "static_trans" (transportation & service corridors), and "static_intrusion" (human intrusions, natural system modifications, and pollution). 

The original values of the datasets ranged from 0.0 to 1.0, where 0.0 is no human modification and 1.0 is full or complete human modification. These values were represented as 32-bit floating point values, but were converted to a 16-bit integer to reduce file size, by multiplying by 32767. Note that to obtain the terrestrial portions of the globe, these datasets will need to be masked by the gHM_landLakeReservoirOcean300m dataset using values 2 and 4 to set NO DATA values. Datasets are in EPSG 3857 coordinates and the extent of longitude/latitude is -180, -75, 180, 85.

Funding provided by: None
Crossref Funder Registry ID:

Files

gHM_landLakeReservoirOcean300m.zip

Files (19.0 GB)

Name Size Download all
md5:56977702918c5095438b207b3e9b007e
27.0 MB Preview Download
md5:f3bf1089c01b420f03cd4da58ff2a137
2.4 GB Preview Download
md5:f7e33890e8b07c7b41f2ad1bea2a8f4c
3.5 GB Preview Download
md5:94ad41e38f71370dcfe9ed842af50fec
2.4 GB Preview Download
md5:b4262756161e6ae84de1ce15123caade
2.6 GB Preview Download
md5:c9aa118d234541f454e1cca88be49445
4.0 GB Preview Download
md5:0bf4bb32fe8c4070e79fcc41245f747b
3.9 GB Preview Download

Additional details

Related works

Is cited by
10.5194/essd-2019-252 (DOI)