High resolution gridded spatial data


Remotely sensed earth observation data

Remotely sensed (RS) data refer to data that are measured from a distance e.g. satellites, aircraft and more recently unmanned aerial vehicles (UAVs, or drones). The vast majority of publicly available RS data comes from earth observation (EO)satellites. RS data are an exceptionally valuable resource, particularly in developing countries which lack easily accessible ground observation data. Please contact me if you know of any other relevant data and I’ll add it to my list!

 

Name Description Spatial resolution Temporal resolution Link
 Landsat  A NASA programme that has been running since 1972 which provides data at a resolution of 30m globally. The most recent Landsat mission (Landsat 8) was launched in 2013, and provides data on the visible spectrum (red, green, blue), plus infrared, near infrared and short-wave infrared. A second instrument on board also provides thermal infrared at 100m spatial resolution. Data are provided every 16 days, and are freely available to access shortly after collection.  30m  Every 16 days, 1972 – Present  http://earthexplorer.usgs.gov/
GlobeLand30  GlobeLand30 is a global land cover dataset produced by the National Geomatics Center of China (NGCC) using Landsat images from 2000 and 2010. There are 10 land cover categories: water bodies, wetland, artificial surfaces, cultivated land, permanent snow/ice, forest, shrubland, grassland, bareland and tundra. 30m 2000, 2010 http://www.globallandcover.com/
Open Aerial Map  Open Aerial Map is a platform for sharing high resolution, open-licensed, imagery obtained from satellites and UAVs. This project is associated with the Humanitarian OpenStreetMap team, and at present mostly contains Landsat imagery, and a small amount of very high resolution data e.g. Dar es Salaam, Tanzania.  Various Various https://openaerialmap.org/
SRTM Digital Elevation Model  The Shuttle Radar Topography Mission (SRTM) flew in February 2000 with the purpose of providing the most complete, highest-resolution digital elevation model of the Earth i.e. 30m resolution, covering 80% of the globe. The global 30m resolution data were released to the public in 2014 and 2015. Void-filled data has also been released, where gaps in the original data have been filled in using interpolation methods.  30m Feb 2000 http://earthexplorer.usgs.gov/
HydroSHEDS Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales (HydroSHEDS) using 90m resolution SRTM data to produce hydrological datasets including flow accumulation, river networks and drainage basins. Similar datasets are possible to derive using the 30m SRTM data and standard hydrology methods within GIS software.  90m Feb 2000 http://earthexplorer.usgs.gov/
ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a Japanese sensor on board the Terra satellite. It was launched in 1999, and provides global high resolution images (15m-90m) of 14 spectral bands: Visible and near infra red (15m), shortwave infrared (30m) and thermal infrared (90m). Data are provided every 16 days, and are freely available to access shortly after collection.  15m-90m Every 16 days, 1999-present http://earthexplorer.usgs.gov/
SPOT SPOT (French: Satellite Pour l’Observation de la Terre) is a commercial high-resolution satellite system which is run by Spot Image, based in France. The SPOT mission has been running since 1986, with the most recent satellite (SPOT-7) being launched in 2014. Whilst this is a commercial satellite, the European Space Agency (ESA) has made available their archived collection of SPOT 1-5 images (1986-2015) through a quick registration process. SPOT 6 and 7 images can also be requested for free, and require the submission of a full proposal. Note that the available data is dependent on what the ESA acquired, hence is not spatially or temporally continuous.  10m-20m Various https://earth.esa.int
RapidEye Whilst this is a commercial satellite, the European Space Agency (ESA) has made available their archived collection of RapidEye images  through a quick registration process. Data is collected on 5 spectral bands: red, green, blue, red edge and near infrared. The RapidEye constellation consists of 5 identical satellites and has been in operation since 2009. Note that the available data is dependent on what the ESA acquired, hence is not spatially or temporally continuous.  5m Various https://earth.esa.int
Sentinel-2 The European Space Agency (ESA) have made Sentinel-2 data available via their Sentinel Access Data Service (SEDAS). After a short registration process, users can access search and download archived land and observation data from June 2015 onwards. Sentinel-2 collects data on 13 spectral bands on the visible near-infrared and shortwave infrared ranges.  10m-60m Every 5 days, June 2015-present https://geobrowser.satapps.org/
Global Surface Water The European Commission’s Joint Research Centre has produced a series of maps relating to surface water for the period 1984-2015, derived from Landsat imagery. There are five available datasets, namely water occurrence, occurrence change intensity, seasonality, annual recurrence, transitions and maximum extent  30m 1984-2015 https://global-surface-water.appspot.com/

 

 

Other resources relating to disease transmission that are available at a high spatial resolution are listed below. These data are a combination of remotely sensed data and data from additional sources.

 

Name Description Spatial resolution Temporal resolution Link
 WorldPop  Estimate of the number of people residing in a 100m by 100m grid cell in low and middle income countries, derived through integrating remotely sensed, census and survey data. Data are also available by 5 year age group.

Other variables are also available from WorldPop at this spatial resolution including number of live births and number of pregnancies.

 100m  Every 5 years, 2010-2020  http://www.worldpop.org.uk/
 High Resolution Settlement Layer  Estimate of the number of people residing in a 30m by 30m grid cell in five countries initially (Ghana. Malawi, Haiti, South Africa, Sri Lanka), derived through integrating remotely sensed (0.5m resolution) and census and data.  These data are the result of a collaboration between the World Bank, the Center for International Earth Science Information Network (CIESIN) and Facebook.  30m  2015  https://ciesin.columbia.edu/data/hrsl/