Pollution

ADIOS (Automated Data Inquiry for Oil Spills)

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

Global

Temporal Coverage: 

fore

Data accessibility: 

exportdata

Disaster Cycle Phase: 

rr

Space-based Information: 

ADIOS® (Automated Data Inquiry for Oil Spills) is NOAA's oil weathering model. It's an oil spill response tool that models how different types of oil weather (undergo physical and chemical changes) in the marine environment. Working from a database of more than a thousand different crude oils and refined products, ADIOS quickly estimates the expected characteristics and behaviour of spilled oil.

NUCOS: Unit Converter for Spill Responders

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

Global

Data accessibility: 

exportdata
statistic

Disaster Cycle Phase: 

drm
rr

Space-based Information: 

The NOAA Unit Converter for Oil Spills (NUCOS) is a simple desktop tool that converts basic units of velocity, mass, length, etc., but more specifically, converts units that are unique to oil spill response. NUCOS includes some of the lesser known units used in managing oil and chemical spills. For example, it converts the units for oil volume, viscosity, and density from the conversion list of the Dispersant Mission Planner 2, a tool that helps spill responders assess dispersant application system performance.

Requirements: 

<p>Windows 7</p><p>Mac OS-X 10.6</p>

GNOME (General NOAA Operational Modeling Environment)

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

Global

Temporal Coverage: 

fore

Data accessibility: 

exportdata

Space-based Information: 

GNOME (General NOAA Operational Modeling Environment) is the modeling tool the Office of Response and Restoration's (OR&R) Emergency Response Division uses to predict the possible route, or trajectory, a pollutant might follow in or on a body of water, such as in an oil spill.

Requirements: 

<p>N/A</p>

Restrictions / Citation of the dataset: 

N/A

Nigerian Oil Spill Monitor

Data Type: 

satdata

Costs: 

free
English

Spatial Coverage: 

Nigeria

Temporal Coverage: 

arch
near

Data accessibility: 

visdata

File types: 

webmap

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

Space-based Information: 

Requirements: 

<p>N/A</p>

Restrictions / Citation of the dataset: 

N/A

Incident Map

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

Northern America

Temporal Coverage: 

arch
near

Data accessibility: 

visdata

File types: 

webmap

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

Space-based Information: 

The Incident Map shows the locations of oil spills and other incidents for which NOAA's Office of Response and Restoration (OR&R) provided scientific support for the response. It also shows the locations of other major spills, but it does not show the location of every significant oil spill.

Requirements: 

<p>N/A</p>

Restrictions / Citation of the dataset: 

South African Risk and Vulnerability Atlas (SARVA)

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

South Africa

Temporal Coverage: 

arch

Data accessibility: 

exportdata
exportmap

File types: 

GeoTIFF
Jpeg
JPEGJPG
PNG
PortableNetworkGraphicsPNG
SRTM

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

Space-based Information: 

Requirements: 

Restrictions / Citation of the dataset: 

Conditions of Use We subscribe to Open Access principles but ask that you cite your sources. SAEON data, website content, and publications are generally made available under the Creative Commons Attribution-ShareAlike 4.0 International License. Please read the license to familiarise yourself with its provisions. Some data sets or materials may carry additional restrictions, these are provided on a case-by-case basis.

Disclaimer The limits to responsibility and liability While every reasonable effort is made to maintain current and accurate information on this site, SAEON accepts no responsibility for any error or omission on these pages or any site to which the site pages link, or for direct or indirect damage as a result of the usage or quoting the content on the site or the information delivered or not delivered or as a result of the downloading of computer files or the usage of computer programs available on the site. Where appropriate, external links have been provided for the user’s convenience. SAEON is not responsible for the content or reliability of linked websites and does not necessarily endorse the views expressed in them. Listing shall not be taken as endorsement of any kind.SAEON cannot guarantee that these links will work all of the time and has no control over the availability of the linked sites or pages. SAEON provides meta-data descriptions of and links to its own data and that of others in the community of practice, in the belief that this will be useful and in support of Open Access to scientific publications and data. We cannot be held responsible for the quality of data provided by third parties, and while we take reasonable care in referencing these data sets, the content of both meta-data and data is under control of the third-party provider.

South African Risk and Vulnerability Atlas (SARVA)

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

South Africa

Temporal Coverage: 

arch

Data accessibility: 

exportdata
exportmap

File types: 

GeoTIFF
Jpeg
JPEGJPG
PNG
PortableNetworkGraphicsPNG
SRTM

Disaster Cycle Phase: 

drm
rr

Restrictions / Citation of the dataset: 

Conditions of Use
We subscribe to Open Access principles but ask that you cite your sources.
SAEON data, website content, and publications are generally made available under the Creative Commons Attribution-ShareAlike 4.0 International License. Please read the license to familiarise yourself with its provisions.
Some data sets or materials may carry additional restrictions, these are provided on a case-by-case basis.

Disclaimer
The limits to responsibility and liability
While every reasonable effort is made to maintain current and accurate information on this site, SAEON accepts no responsibility for any error or omission on these pages or any site to which the site pages link, or for direct or indirect damage as a result of the usage or quoting the content on the site or the information delivered or not delivered or as a result of the downloading of computer files or the usage of computer programs available on the site.
Where appropriate, external links have been provided for the user’s convenience. SAEON is not responsible for the content or reliability of linked websites and does not necessarily endorse the views expressed in them. Listing shall not be taken as endorsement of any kind.SAEON cannot guarantee that these links will work all of the time and has no control over the availability of the linked sites or pages.
SAEON provides meta-data descriptions of and links to its own data and that of others in the community of practice, in the belief that this will be useful and in support of Open Access to scientific publications and data. We cannot be held responsible for the quality of data provided by third parties, and while we take reasonable care in referencing these data sets, the content of both meta-data and data is under control of the third-party provider.

ETOPO1 Global Relief Model

Data Type: 

elevation
satdata

Costs: 

free
Undefined

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata

File types: 

GeoTIFF
NetCDF

Disaster Cycle Phase: 

drm

Spatial Resolution: 

10 metres

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: 

Pages

Zircon - This is a contributing Drupal Theme
Design by WeebPal.