Global Change Master Directory (GCMD)

Data Sets

Services / Tools

Ancillary Descriptions

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Web Fire Mapper GIS Data Products

Entry ID: WFM_GIS

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Summary

Abstract: Web Fire Mapper is an internet based mapping tool that delivers locations of
active fires in near real time. For selected regions and countries you can view
an interactive map showing active fires for a specified time period, combined
with your choice of GIS layers and satellite imagery.

Each fire detection represents the center of a 1 km pixel flagged as containing
one or more actively burning ...

Related URL

Link: GET DATA

Description: This section of the web site offers users the capability to download GIS
shape files from the various Web Fire Maps GIS websites. The coverages are in
ESRI shapefile and ARC/INFO export files format.

Geographic Coverage

(Click for Interactive Map)

Spatial coordinates

N: 90.0

S: -90.0

E: 180.0

W: -180.0

Data Set Citation

Dataset Originator/Creator: NASA/GSFC

Dataset Title: Web Fire Mapper GIS Data

Dataset Release Place: Maryland

Dataset Publisher: University of Maryland

Version: 1

Data Presentation Form: GIS maps

Online Resource: http://maps.geog.umd.edu/firms/

Location Keywords

CONTINENT > AFRICA > EASTERN AFRICA > MOZAMBIQUE

CONTINENT > AFRICA > SOUTHERN AFRICA > NAMIBIA

Science Keywords

CRYOSPHERE > SNOW/ICE > ALBEDO

CRYOSPHERE > SNOW/ICE > LAKE ICE

ISO Topic Category

IMAGERY/BASE MAPS/EARTH COVER

Platform

AQUA > Earth Observing System, AQUA

Instrument

MODIS > Moderate-Resolution Imaging Spectroradiometer

Spectroradiometers

Project

EOSDIS > Earth Observing System Data Information System

ESIP > Earth Science Information Partners Program

AMSRICE03 > Advanced Microwave Scanning Radiometer Sea Ice Product Validation

CWIC > CEOS WGISS Integrated Catalog

Quality Quality indicators for MODIS snow data can be found in the following three places:
* AutomaticQualityFlag and the ScienceQualityFlag metadata objects and their corresponding explanations: AutomaticQualityFlagExplanation and ScienceQualityFlagExplanation located ... in the CoreMetadata.0 global attributes
* Custom local attributes associated with each SDS, for example, snow cover
* Snow Spatial QA field.
These quality indicators are generated during production or in post-production scientific and quality checks of the data product. For more information on local and global attributes, go to one of the following links:
* MOD10A1 and MYD10A1 Local Snow Cover Attributes, Version 5
* MOD10A1 and MYD10A1 Global Snow Cover Attributes, Version 5

The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the snow mapping algorithm. In most cases, the flag is set to either Passed or Suspect, and in rare instances, it may be set to Failed. Suspect means that a significant percentage of the data were anomalous and that further analysis should be done to determine the source of anomalies. The AutomaticQualityFlagExplanation contains a brief message explaining the reason for the setting of the AutomaticQualityFlag. The ScienceQualityFlag and the ScienceQualityFlagExplanation maybe updated after production, either after an automated QA program is run or after the data product is inspected by a qualified snow scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file. The algorithm tests for a variety of anomalous conditions and sets the pixel value accordingly if such conditions are detected. Summary statistics about missing data, the percent cloud cover, the percent of good or other quality data, and snow cover percent are calculated and placed in the metadata for each product. The Snow Spatial QA data field provides additional information on algorithm results for each pixel within a spatial context, and is used as a measure of usefulness for snow-cover data. The QA information tells if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2006). The NASA Goddard Space Flight Center: MODIS Land Quality Assessment Web site provides updated quality information for each product.

Ancillary Keywords

Antarctic

Arctic

Data Set Progress

IN WORK

Data Center

NSIDC Distributed Active Archive Center

Data Center URL: http://nsidc.org/daac/index.html
Dataset ID: MYD10A1V5

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA

National Snow and Ice Data Center

Data Center URL: http://nsidc.org
Dataset ID: MYD10A1V5

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA

Distribution

Distribution Media: FTP

Distribution Size: 0.8 - 6.7 MB

Distribution Format: GeoTIFF

Distribution Media: FTP

Distribution Size: 0.8 - 6.7 MB

Distribution Format: HDF-EOS

Personnel

DOROTHY K. HALL

Role: INVESTIGATOR

Contact Address:

National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC)

Mail stop 614.1

City: Greenbelt

Province or State: MD

Postal Code: 20771

Publications/References

Diner, D. J., J. V. Martonchik, C. Borel, S. A. W. Gerstl, H. R. Gordon, Y. Knyazikhin, R. Myneni, B. Pinty, and M. M. Verstraete. 1999. MISR Level-2 Surface Retrieval Algorithm Theoretical Basis Document. Pasadena, CA: Jet Propulsion Laboratory.

Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) Systems and Operations Concept. Greenbelt, MD: Goddard Space Flight ...

Extended Metadata Properties

(Click to view more)

Creation and Review Dates

DIF Creation Date: 2007-03-19

Last DIF Revision Date: 2012-05-04

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