Severe Storm

World Wide Lightning Location Network Tropical Cyclones (WWLLN-TC)

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportmap

File types: 

Jpeg
JPEGJPG

Disaster Cycle Phase: 

drm
rr

Space-based Information: 

VLF Data
Microwave satellite data

Restrictions / Citation of the dataset: 

WWLLN and the U. of Washington are not responsible for use of these data in the forecasting of tropical cyclones.

If you include data from this site in your research, please reference the WWLLN-TC Eos Project Update article:
Solorzano, N. N., J. N. Thomas, and C. Bracy (2018), Monitoring tropical cyclones with lightning and satellite data, Eos, 99, https://doi.org/10.1029/2018EO092439. Published on 19 February 2018.

https://eos.org/project-updates/monitoring-tropical-cyclones-with-lightn...

Satellites and Sensors: 

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

Hurricane Irma in Haiti

English

Country/Region: 

Disaster Type: 

Occurance Date: 

07/09/2017
activated

latitude: 

0

longitude: 

0

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

RStudio

Hurricane Matthew in Dominican Republic and Haiti

English

Hurricane Matthew impacted Haiti, the Dominican Republic and Jamaica on 03 October 2016.  As a category 4 hurricane, it has generated floods in these countries. The National Emergency Commission of the Dominican Republic elevated a request for technical support to UN-SPIDER on 04 October 2016.   

Country/Region: 

Disaster Type: 

Short title: 

Hurricane Matthew impacts Dominican Republic and Haiti on the first days of October 2016

GLIDEnumber: 

2016-000106

Region: 

Caribbean

Occurance Date: 

03/10/2016
activated

latitude: 

0

longitude: 

0

Data Basin

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: 

GeoPDF
HDF4
Shapefiles
TIFF
WMS

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

Space-based Information: 

Requirements: 

Restrictions / Citation of the dataset: 

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