Evaluation of the detection errors of heat focus estimated by the GOES Imager Sensor


The negative impacts on the environment caused by fires represent one of the greatest environmental challenges of our time. The demand for products with greater accuracy in fire characterization and behavior has increased significantly in recent decades. In this regard, in relation to the importance of the systematization of fire products, as well as their significant use, the limitations related to the accuracy of information need to be remedied. The main objective of this work was to analyze the accuracy of the information contained in the product WFABBA / GOES, of heat focus detection. It was found that overestimation of the outbreaks in all the years of the analyzed series suggests that this result can be based on other research regarding the relationship between the errors found and their impacts on the emission inventories of gases and aerosols from biomass burning.

Author Biographies

Viviane Valeria da Silva, Federal University of São João del-Rei, Brazil

Mestranda do Programa de Pós-graduação em Geografia da Universidade Federal de São Joao del-Rei (UFSJ).

Gabriel Pereira, Federal University of São João del-Rei, Brazil

Docente do Programa de Pós-graduação em Geografia da Universidade Federal de São Joao del-Rei (UFSJ).

Francielle da Silva Cardozo, Federal University of São João del-Rei, Brazil

Docente do Programa de Pós-graduação em Geografia da Universidade Federal de São Joao del-Rei (UFSJ).


ABADE, N. A.; CARVALHO JÚNIOR, O. A.; GUIMARÃES, R. F.; OLIVEIRA, S. A. Comparative Analysis of MODIS Time-Series Classification Using Support Vector Machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary. Remote Sensing, v. 7, n. 9, p. 12160-12191, 2015.

AB'SABER, Aziz Nacib. Espaços ocupados pela expansão dos climas secos na América do Sul, por ocasião dos períodos glaciais quaternários. Universidade de São Paulo/Instituto de Geografia, 1977.

BARBOSA, P. M.; PEREIRA, J. M. C.; GRÉGOIRE, J. M. Compositing criteria for burned area assessment using multitemporal low resolution satellite data. Remote Sensing of Environment, New York, v. 65, n. 1, p. 38-49, 1998.

BARTSCH A., BALTZER, H. & GEORGE, C. The influence of regional surface soil moisture anomalies on forest fires in Siberia observed from satellites. Environment Research Letters, v. 4, p. 1 – 9. 2009.

BASTARRIKA, A., CHUVIECO, E., MARTÍN, M.P. Automatic Burned Land Mapping From MODIS Time Series Images: Assessment in Mediterranean Ecosystems. IEEE Transactions on Geoscience and Remote Sensing, v. 49, n. 9, p. 3401-3413, 2011.

CHUVIECO, E. et al. Assessment of multitemporal compositing techniques of MODIS and AVHRR images for burned land mapping. Remote Sensing of Environment, New York, v. 94, n. 4, p. 450-465, 2005.

CHUVIECO, E.; VENTURA, G.; MARTÍN, M. P. AVHRR multitemporal compositing techniques for burned land mapping. International Journal of Remote Sensing, v. 26, n.5, p.1013-1018, 2005.

DE SOUZA, P. A., Sismanoglu, R. A., Longo, K. M., Maurano, L. E., Recuero, F. S., Setzer, A. W., & Yoshida, M. C. (2003, August). Avanços no monitoramento de queimadas realizado no INPE SETZER. In: XIII Congresso Brasileiro de Meteorologia, 2003.

FREITAS, S. R., Longo, K. M., Dias, M. A. F., & Dias, P. L. Emissões de queimadas em ecossistemas da América do Sul. Estudos Avançados, v. 19, n. 53, p. 167-185, 2005.

GIGLIO, L; KENDALL, J. D. Application of the Dozier retrieval to wildfire characterization: a sensitivity analysis. Remote Sensing of Environment, v. 77, n. 1, p. 34-49, 2001.

GU, J.; LI, X.; HUANG, C.; OKIN, G. S. A simplified data assimilation method for reconstructing time-series MODIS NDVI data. Advances in Space Research, v. 44, n. 4, p. 501-509, 2009.

KAUFMAN, Y. J.; HOLBEN, B. N. Hemispherical backscattering by biomass burning and sulfate particles derived from sky measurements. Journal of Geophysical Research: Atmospheres, v. 101, n. D14, p. 19433-19445, 1996.

KOLTUNOV, A.; USTIN, S. L.; PRINS, Elaine M. On timeliness and accuracy of wildfire detection by the GOES WF-ABBA algorithm over California during the 2006 fire season. Remote sensing of environment, v. 127, p. 194-209, 2012.

MIGUEL, S. M.; HUESCA, M.; GONZÁLEZ-ALONSO, F. Modis reflectance and active fire data for burn mapping and assessment at regional level. Ecological Modelling, v. 221, p. 67–74, 2010.

NEPSTAD, Daniel C.; ALENCAR, Ane A.; MOREIRA, Adriana G. A floresta em chamas: origens, impactos e prevenção de fogo na Amazônia. Brasília: Programa Piloto para a Proteção das Florestas Tropicais do Brasil, 1999.

PRINS, E. M; C. C. Schmidt, J. M. Feltz, J. S. Reid, D. L. Westphal, and K. Richardson, A two-year analysis of fire activity in the western hemisphere as observed with the goes wildfire automated biomass burning algorithm...Preprints, 12th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA, Amer. Meteor. Soc., CD-ROM, P2.28, 2003.

PRINS, E. M.; J. Schmetz, L. Flynn, D. Hillger, and J. Feltz. Overview of current and future diurnal active fire monitoring using a suite of international geostationary satellites. Global and Regional Vegetation Monitoring from Space: Planning a Coordinated International Effort, p. 145-170, 2001.

PRINS, E. M.; MENZEL, W. Paul. Geostationary satellite detection of bio mass burning in South America. International Journal of Remote Sensing, v. 13, n. 15, p. 2783-2799, 1992.

SCHMIDT, C. C.; PRINS, E. M. GOES wildfire ABBA applications in the western hemisphere. In: Second International Wildland Fire Ecology and Fire Management Congress and Fifth Symposium on Fire and Forest Meteorology, 16–20, 2003.

WOOSTER, M. J.; ZHUKOV, B.; OERTEL, D. Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sensing of Environment, v. 86, n. 1, p. 83-107, 2003.

ZHANG, Xiaoyang; KONDRAGUNTA, Shobha. Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product. Remote Sensing of Environment, v. 112, n. 6, p. 2886-2897, 2008.
How to Cite
SILVA, Viviane Valeria da; PEREIRA, Gabriel; CARDOZO, Francielle da Silva. Evaluation of the detection errors of heat focus estimated by the GOES Imager Sensor
. Geosaberes, Fortaleza, v. 10, n. 21, p. 1 - 17, may 2019. ISSN 2178-0463. Available at: <http://geosaberes.ufc.br/geosaberes/article/view/710>. Date accessed: 06 aug. 2020. doi: https://doi.org/10.26895/geosaberes.v10i21.710.