@InProceedings{CardosoHurMooNobBai:2004:ApAVMO,
author = "Cardoso, Manoel and Hurtt, George and Moore, Berrien and Nobre,
Carlos Afonso and Bain, Heather",
affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
title = "Passive ground-based analyses for interpreting satellite fire data
- Applications to AVHRR and MODIS active fire detections in
Amazonia",
booktitle = "Anais...",
year = "2004",
organization = "Conferencia Cientifica do LBA, 3.",
abstract = "Because of their broad spatial and temporal coverage, satellites
are very important for providing information on fire activity in
Amazonia. A key to the application of these tools for
environmental studies is the accurate interpretation of the data
they provide. Examples of factors that should be considered
include temporal sampling, cloud coverage, fire intensity below
detection, and confounding reflective surfaces. To enhance the
interpretation of satellite data for this region, we collected
ground-based information on fire activity and statistically
related them to corresponding satellite-based data. Ground-based
data were collected in Para in 2001 and in Mato Grosso in 2002
using a simple and passive method. Corresponding fire data from
AVHRR and MODIS were then obtained and related to the ground-based
data using error matrixes. Results from these analyses indicate
that the total accuracy for both fire products was very high and
dominated by accurate non-fire detection. Fire-detection accuracy
was lower, and errors of commission were less than errors of
omission. Satellite fire products differed in the frequency of
omission and commission errors for fires. Omission errors were
lower for AVHRR, and commission errors were lower for MODIS.
Preliminary attribution studies suggest that sampling time, fire
size and land cover are important complicating factors for active
fire detection in the region. Results from this study show that
passive ground-based analyses can substantially contribute to the
interpretation of satellite fire data.",
conference-location = "Brasilia",
conference-year = "27-29 jul.",
language = "en",
organisation = "LBA",
targetfile = "Cardoso_Nobre_LBA.pdf",
urlaccessdate = "05 maio 2024"
}