Pollution

Land Surface Temperature(Copernicus)

Data Type: 

hazard
landuse
satdata

Costs: 

rfree
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata
exportmap
visdata
webproc

Institution: 

File types: 

NetCDF
XML

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

5 km

Restrictions / Citation of the dataset: 

Terms of Use

The Land Surface Temperature (LST) is the radiative skin temperature of the land surface, as measured in the direction of the remote sensor. It is estimated from Top-of-Atmosphere brightness temperatures from the infrared spectral channels of a constellation of geostationary satellites (Meteosat Second Generation, GOES, MTSAT/Himawari). Its estimation further depends on the albedo, the vegetation cover and the soil moisture.

LST is a mixture of vegetation and bare soil temperatures. Because both respond rapidly to changes in incoming solar radiation due to cloud cover and aerosol load modifications and diurnal variation of illumination, the LST displays quick variations too. In turn, the LST influences the partition of energy between ground and vegetation and determines the surface air temperature.

The Global Land Service provides the following LST-based products:

  • LST: hourly LST from instantaneous observations
  • LST10-DC: 10-day Land Surface Temperature with Daily Cycle
  • LST10-TCI: Thermal Condition Index with a 10-day composite of Land Surface Temperature.

Satellites and Sensors: 

Global Urban Footprint

Data Type: 

baseline
satdata

Costs: 

free
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata
exportmap
statistic

File types: 

GeoTIFF
TIFF

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

12 m

Satellites and Sensors: 

Python

Integrated Population and Environmental Data

Data Type: 

baseline
elevation
hazard
landuse
satdata

Costs: 

free
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata
exportmap
statistic

Institution: 

File types: 

CSV
GeoTIFF
Shapefiles
txt

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

Various

Restrictions / Citation of the dataset: 

IPUMS Terra integrates the world's population and environmental data including...

Population censuses and surveys

Land cover data classified from satellite imagery

Temperature, precipitation, and related climate data

Land use data derived from censuses and surveys in combination with remotely sensed data

The terms of use for IPUMS Terra data are as follows:

 

Redistribution: You will not redistribute the data

For some of the IPUMS Terra area-level, raster, and boundary data, you may be able to redistribute the data. You must contact us for permission. You should contact us about publishing even a subset of the data to meet journal requirements for accessing data related to a particular publication.

Citation: Cite IPUMS Terra data appropriately.

Publications and research reports based on data from IPUMS Terra must cite it appropriately. The citation should include the following:

Minnesota Population Center. Terra Populus: Integrated Data on Population and Environment: Version 1 [dataset]Minneapolis, MN: University of Minnesota, 2016. http://doi.org/10.18128/D090.V1.

Users that include microdata, or data derived from microdata, in their extracts should also cite IPUMS International as follows: 

Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis, MN: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4.

Researchers should also acknowledge the original producers of the data. The producers of each dataset included in an extract are listed in the codebook accompanying the extract.

Publications and research reports making use of IPUMS Terra data should be added to the Minnesota Population Center bibliography.

Copies of such materials are also gratefully received at terrapop [at] umn.edu (subject: Publication%2FMaterial%20using%20TerraPop) .

The Online Text Editor for WEB - edit the text with the best text editing tool.

Satellites and Sensors: 

DIVA GIS

Data Type: 

baseline
elevation
hazard
landuse
satdata

Costs: 

free
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch
fore
near

Data accessibility: 

exportdata
exportmap
statistic
visdata
webproc

Institution: 

File types: 

CSV
DBF
GeoTIFF
Shapefiles
SRTM
txt
USGSASCIIDEM

Disaster Cycle Phase: 

drm
rr

MOD13Q1 Terra and Aqua

Data Type: 

baseline
hazard
landuse
satdata

Costs: 

free
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata
exportmap
visdata

File types: 

HDF4
TIFF

Disaster Cycle Phase: 

drm
rr

Space-based Information: 

m

Satellites and Sensors: 

Global Administrative Areas

Data Type: 

baseline

Costs: 

free
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch

Data accessibility: 

exportdata
exportmap

File types: 

shp

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

Space-based Information: 

Requirements: 

<p>Shapefile readers&nbsp;</p>

Restrictions / Citation of the dataset: 

Cygwin linux interface MODIS re-projection and stitching tool

MICRODEM

R Studio

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