06.03.2013 Views

7th Workshop on Forest Fire Management - EARSeL, European ...

7th Workshop on Forest Fire Management - EARSeL, European ...

7th Workshop on Forest Fire Management - EARSeL, European ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

ADVANCING THE USE OF MULTI-RESOLUTION REMOTE SENSING DATA<br />

TO DETECT AND CHARACTERIZE BIOMASS BURNING<br />

W. Schroeder<br />

University of Maryland, Earth System Science Interdisciplinary Center,<br />

College Park MD, USA, wilfrid.schroeder@noaa.gov<br />

I. Csiszar 1 , L. Giglio 2 & C. Justice 3<br />

1 NOAA/NESDIS/STAR, Camp Springs MD, USA, ivan.csiszar@noaa.gov<br />

2 SSAI, Lanham MD, USA, louis_giglio@ssaihq.com<br />

3 University of Maryland, College Park MD, USA, justice@hermes.geog.umd.edu<br />

Abstract: In this study, we sought to detect and characterize biomass burning<br />

in Amaz<strong>on</strong>ia using 1-km MODIS Thermal Anomalies and the 4-km GOES<br />

imager WF-ABBA data. We applied field measurements, airborne data, and<br />

higher spatial resoluti<strong>on</strong> remote sensing data from CBERS, ASTER, and<br />

Landsat (TM and ETM+) to assess sub-pixel processes governing MODIS and<br />

GOES fire product performance. The results from the analyses above were<br />

used to create a set of judicious criteria aimed to integrate the active fire<br />

data from MODIS and GOES imager for Amaz<strong>on</strong>ia. The resulting product differs<br />

from the simple sum of the individual input fire products as it compensates<br />

for potential sources of commissi<strong>on</strong> and omissi<strong>on</strong> errors in the<br />

data.<br />

1 - Introducti<strong>on</strong><br />

Satellite fire data provide key informati<strong>on</strong> for the scientific community as<br />

well as for fire managers. In this study we describe how multiple fire data<br />

sets are being combined to detect and characterize vegetati<strong>on</strong> fires with a<br />

focus in Amaz<strong>on</strong>ia. Using ground, airborne and higher resoluti<strong>on</strong> spaceborne<br />

data we investigate sub-pixel fires routinely mapped by coarser spatial<br />

resoluti<strong>on</strong> instruments that currently serve regi<strong>on</strong>al and global biomass<br />

burning applicati<strong>on</strong>s. Through a thorough product assessment we complement<br />

the use of a polar orbiting fire data set with a geostati<strong>on</strong>ary <strong>on</strong>e creating<br />

a regi<strong>on</strong>al map of fire activity for Amaz<strong>on</strong>ia in which commissi<strong>on</strong> and<br />

omissi<strong>on</strong> errors are minimized.<br />

2 - Data and methods<br />

Several data sets were utilized in this study including: (i) field measurements<br />

(fire temperature and durati<strong>on</strong> derived from prescribed burns al<strong>on</strong>g<br />

187

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!