Accuracy and spatiotemporal distribution of fire in the Brazilian biomes from the MODIS burned-area products
Nickolas Castro Santana A , Osmar Abílio de Carvalho
+ Author Affiliations
- Author Affiliations
A Department of Geography, University of Brasília, Brasília 70910-900, Brazil.
B Corresponding author. Email: osmarjr@unb.br
International Journal of Wildland Fire 29(10) 907-918 https://doi.org/10.1071/WF19044
Submitted: 28 March 2019 Accepted: 2 July 2020 Published: 7 August 2020
Abstract
The Moderate Resolution Imaging Spectroradiometer (MODIS) products are the most used in burned-area monitoring, on regional and global scales. This research aims to evaluate the accuracy of the MODIS burned-area and active-fire products to describe fire patterns in Brazil in the period 2001–2015. The accuracy analysis, in the year 2015, compared the MODIS products (MCD45/MCD64) and the burned areas extracted by the visual interpretation of the LANDSAT/Operational Land Imager (OLI) images from the confusion matrix. The accuracy analysis of the active-fire products (MOD14/MYD14) in the year 2015 used linear regression. We used the most accurate burned-area product (MCD64), in conjunction with environmental variables of land use and climate. The MCD45 product presented a high error of commission (>36.69%) and omission (>77.04%) for the whole country. The MCD64 product had fewer errors of omission (64.05%) compared with the MCD45 product, but increased errors of commission (45.85%). MCD64 data in 2001–2015 showed three fire domains in Brazil determined by the climatic pattern. Savanna and grassy areas in semi-humid zones are the most prone areas to fire, burning an average of 25% of their total area annually, with a fire return interval of 5–6 years.
Additional keywords: Brazil, fire scars, multitemporal data, validation, wildfire.
References
Aguiar CML, Santana EB, Martins CF, Vivallo F, Santos CO, Santos GMM (2018) Species richness and diversity in bee assemblages in a fragment of Savanna (Cerrado) at northeastern Brazil. Sociobiology 65, 566–575.| Species richness and diversity in bee assemblages in a fragment of Savanna (Cerrado) at northeastern Brazil.Crossref | GoogleScholarGoogle Scholar |
Alencar AA, Brando PM, Asner GP, Putz FE (2015) Landscape fragmentation, severe drought, and the new Amazon forest fire regime. Ecological Applications 25, 1493–1505.
| Landscape fragmentation, severe drought, and the new Amazon forest fire regime.Crossref | GoogleScholarGoogle Scholar | 26552259PubMed |
Alvarado ST, Fornazari T, Cóstola A, Morellato LPC, Silva TSF (2017) Drivers of fire occurrence in a mountainous Brazilian cerrado savanna: tracking long-term fire regimes using remote sensing. Ecological Indicators 78, 270–281.
| Drivers of fire occurrence in a mountainous Brazilian cerrado savanna: tracking long-term fire regimes using remote sensing.Crossref | GoogleScholarGoogle Scholar |
Alvarado ST, Silva TSF, Archibald S (2018) Management impacts on fire occurrence: a comparison of fire regimes of African and South American tropical savannas in different protected areas. Journal of Environmental Management 218, 79–87.
| Management impacts on fire occurrence: a comparison of fire regimes of African and South American tropical savannas in different protected areas.Crossref | GoogleScholarGoogle Scholar | 29665489PubMed |
Alves DB, Pérez-Cabello F (2017) Multiple remote sensing data sources to assess spatio-temporal patterns of fire incidence over Campos Amazônicos Savanna Vegetation Enclave (Brazilian Amazon). The Science of the Total Environment 601–602, 142–158.
| Multiple remote sensing data sources to assess spatio-temporal patterns of fire incidence over Campos Amazônicos Savanna Vegetation Enclave (Brazilian Amazon).Crossref | GoogleScholarGoogle Scholar | 28550727PubMed |
Aragão LEOC, Malhi Y, Barbier N, Lima AA, Shimabukuro Y, Anderson L, Saatchi S (2008) Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363, 1779–1785.
| Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia.Crossref | GoogleScholarGoogle Scholar |
Archibald S (2016) Managing the human component of fire regimes: lessons from Africa. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 371, 20150346
| Managing the human component of fire regimes: lessons from Africa.Crossref | GoogleScholarGoogle Scholar | 27502384PubMed |
Archibald S, Nickless A, Scholes RJ, Schulze R (2010a) Methods to determine the impact of rainfall on fuels and burned area in southern African savannas. International Journal of Wildland Fire 19, 774–782.
| Methods to determine the impact of rainfall on fuels and burned area in southern African savannas.Crossref | GoogleScholarGoogle Scholar |
Archibald S, Scholes RJ, Roy DP, Roberts G, Boschetti L (2010b) Southern African fire regimes as revealed by remote sensing. International Journal of Wildland Fire 19, 861–878.
| Southern African fire regimes as revealed by remote sensing.Crossref | GoogleScholarGoogle Scholar |
Archibald S, Lehmann CER, Gómez-dans JL, Bradstock RA (2013) Defining pyromes and global syndromes of fire regimes. Proceedings of the National Academy of Sciences of the United States of America 110, 6442–6447.
| Defining pyromes and global syndromes of fire regimes.Crossref | GoogleScholarGoogle Scholar | 23559374PubMed |
Batista EKL, Russell-Smith J, França H, Figueira JEC (2018) An evaluation of contemporary savanna fire regimes in the Canastra National Park, Brazil: outcomes of fire suppression policies. Journal of Environmental Management 205, 40–49.
| An evaluation of contemporary savanna fire regimes in the Canastra National Park, Brazil: outcomes of fire suppression policies.Crossref | GoogleScholarGoogle Scholar | 28964973PubMed |
Behling H, Pillar VDP (2007) Late Quaternary vegetation, biodiversity and fire dynamics on the southern Brazilian highland and their implication for conservation and management of modern Araucaria forest and grassland ecosystems. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 362, 243–251.
| Late Quaternary vegetation, biodiversity and fire dynamics on the southern Brazilian highland and their implication for conservation and management of modern Araucaria forest and grassland ecosystems.Crossref | GoogleScholarGoogle Scholar | 17255033PubMed |
Bond WJ, Keeley JE (2005) Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems. Trends in Ecology & Evolution 20, 387–394.
| Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems.Crossref | GoogleScholarGoogle Scholar |
Boschetti L, Stehman SV, Roy DP (2016) A stratified random sampling design in space and time for regional to global scale burned area product validation. Remote Sensing of Environment 186, 465–478.
| A stratified random sampling design in space and time for regional to global scale burned area product validation.Crossref | GoogleScholarGoogle Scholar | 30416212PubMed |
Bowman DMJS, Balch JK, Artaxo P, Bond WJ, Carlson JM, Cochrane MA, D’Antonio CMA, DeFries RS, Doyle JC, Harrison SP, Johnston FH, Keeley JE, Krawchuk MA, Kull CA, Marston JB, Moritz MA, Prentice IC, Roos CI, Scott AC, Swetnam TW, van der Werf GR, Pyne SJ (2009) Fire in the Earth system. Science 324, 481–484.
| Fire in the Earth system.Crossref | GoogleScholarGoogle Scholar |
Brando PM, Balch JK, Nepstad DC, Morton DC, Putz FE, Coe MT, Silvério D, Macedo MN, Davidson EA, Nóbrega CC, Alencar A, Soares-Filho BS (2014) Abrupt increases in Amazonian tree mortality due to drought-fire interactions. Proceedings of the National Academy of Sciences of the United States of America 111, 6347–6352.
| Abrupt increases in Amazonian tree mortality due to drought-fire interactions.Crossref | GoogleScholarGoogle Scholar | 24733937PubMed |
Campanharo WA, Lopes AP, Anderson LO, da Silva TFMR, Aragão LEOC (2019) Translating fire impacts in Southwestern Amazonia into economic costs. Remote Sensing 11, 764
| Translating fire impacts in Southwestern Amazonia into economic costs.Crossref | GoogleScholarGoogle Scholar |
Cardozo S, Pereira G, Shimabukuro YE, Moraes EC (2014) Avaliação Das Áreas Queimadas No Estado De Rondônia. Revista Brasileira de Cartografia 66, 705–716.
Caúla RH, Oliveira-Júnior JF, Lyra GB, Delgado RC, Heilbron Filho PFL (2015) Overview of fire foci causes and locations in Brazil based on meteorological satellite data from 1998 to 2011. Environmental Earth Sciences 74, 1497–1508.
| Overview of fire foci causes and locations in Brazil based on meteorological satellite data from 1998 to 2011.Crossref | GoogleScholarGoogle Scholar |
Chuvieco E, Giglio L, Justice C (2008) Global characterization of fire activity: toward defining fire regimes from Earth observation data. Global Change Biology 14, 1488–1502.
| Global characterization of fire activity: toward defining fire regimes from Earth observation data.Crossref | GoogleScholarGoogle Scholar |
Chuvieco E, Martínez S, Román MV, Hantson S, Pettinari ML (2014) Integration of ecological and socio-economic factors to assess global vulnerability to wildfire. Global Ecology and Biogeography 23, 245–258.
| Integration of ecological and socio-economic factors to assess global vulnerability to wildfire.Crossref | GoogleScholarGoogle Scholar |
Cochrane MA, Laurance WF (2002) Fire as a large-scale edge effect in Amazonian forests. Journal of Tropical Ecology 18, 311–325.
| Fire as a large-scale edge effect in Amazonian forests.Crossref | GoogleScholarGoogle Scholar |
Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37, 35–46.
| A review of assessing the accuracy of classifications of remotely sensed data.Crossref | GoogleScholarGoogle Scholar |
Daldegan GA, de Carvalho Júnior OA, Guimarães RF, Gomes RAT, De Figueiredo Ribeiro F, McManus C (2014) Spatial patterns of fire recurrence using remote sensing and GIS in the Brazilian savanna: Serra do Tombador Nature Reserve, Brazil. Remote Sensing 6, 9873–9894.
| Spatial patterns of fire recurrence using remote sensing and GIS in the Brazilian savanna: Serra do Tombador Nature Reserve, Brazil.Crossref | GoogleScholarGoogle Scholar |
de Araújo FM, Ferreira LG, Arantes AE (2012) Distribution patterns of burned areas in the Brazilian biomes: an analysis based on satellite data for the 2002–2010 period. Remote Sensing 4, 1929–1946.
| Distribution patterns of burned areas in the Brazilian biomes: an analysis based on satellite data for the 2002–2010 period.Crossref | GoogleScholarGoogle Scholar |
Di Bella CM, Jobbágy EG, Paruelo JM, Pinnock S (2006) Continental fire density patterns in South America. Global Ecology and Biogeography 15, 192–199.
| Continental fire density patterns in South America.Crossref | GoogleScholarGoogle Scholar |
Durigan G, Ratter JA (2016) The need for a consistent fire policy for Cerrado conservation. Journal of Applied Ecology 53, 11–15.
| The need for a consistent fire policy for Cerrado conservation.Crossref | GoogleScholarGoogle Scholar |
Eva H, Lambin EF (2000) Fires and land-cover change in the tropics: a remote sensing analysis at the landscape scale. Journal of Biogeography 27, 765–776.
| Fires and land-cover change in the tropics: a remote sensing analysis at the landscape scale.Crossref | GoogleScholarGoogle Scholar |
Fidelis A, Alvarado S, Barradas A, Pivello V (2018) The year 2017: megafires and management in the Cerrado. Fire 1, 49
| The year 2017: megafires and management in the Cerrado.Crossref | GoogleScholarGoogle Scholar |
Fleiss JL, Levin B, Paik MC (2003) ‘Statistical methods for rates and proportions.’ (John Wiley & Sons: Hoboken, NJ, USA)
Friedl MA, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A, Huang X (2010) MODIS Collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sensing of Environment 114, 168–182.
| MODIS Collection 5 global land cover: algorithm refinements and characterization of new datasets.Crossref | GoogleScholarGoogle Scholar |
Giglio L, Loboda T, Roy DP, Quayle B, Justice CO (2009) An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sensing of Environment 113, 408–420.
| An active-fire based burned area mapping algorithm for the MODIS sensor.Crossref | GoogleScholarGoogle Scholar |
Giglio L, Randerson JT, Van Der Werf GR (2013) Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4). Journal of Geophysical Research. Biogeosciences 118, 317–328.
| Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4).Crossref | GoogleScholarGoogle Scholar |
Giglio L, Schroeder W, Justice CO (2016) The collection 6 MODIS active fire detection algorithm and fire products. Remote Sensing of Environment 178, 31–41.
| The collection 6 MODIS active fire detection algorithm and fire products.Crossref | GoogleScholarGoogle Scholar | 30158718PubMed |
Giglio L, Boschetti L, Roy DP, Humber ML, Justice CO (2018) The Collection 6 MODIS burned area mapping algorithm and product. Remote Sensing of Environment 217, 72–85.
| The Collection 6 MODIS burned area mapping algorithm and product.Crossref | GoogleScholarGoogle Scholar | 30220740PubMed |
Gutiérrez-Velez VH, Uriarte M, Defries R, Pinedo-Vasquez M, Fernandes K, Ceccato P, Baethgen W, Padoch C (2014) Land cover change interacts with drought severity to change fire regimes in Western Amazonia. Ecological Applications 24, 1323–1340.
| Land cover change interacts with drought severity to change fire regimes in Western Amazonia.Crossref | GoogleScholarGoogle Scholar | 29160657PubMed |
Hantson S, Padilla M, Corti D, Chuvieco E (2013) Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence. Remote Sensing of Environment 131, 152–159.
| Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence.Crossref | GoogleScholarGoogle Scholar |
Humber ML, Boschetti L, Giglio L, Justice CO (2019) Spatial and temporal intercomparison of four global burned area products. International Journal of Digital Earth 12, 460–484.
| Spatial and temporal intercomparison of four global burned area products.Crossref | GoogleScholarGoogle Scholar | 30319711PubMed |
Instituto Brasileiro de Geografia e Estatística (IBGE) (2002) ‘Mapa de Climas do Brasil.’ Available at http://portaldemapas.ibge.gov.br [Verified 30 September 2019]
Krawchuk MA, Moritz MA, Parisien MA, Van Dorn J, Hayhoe K (2009) Global pyrogeography: the current and future distribution of wildfire. PLoS One 4,
| Global pyrogeography: the current and future distribution of wildfire.Crossref | GoogleScholarGoogle Scholar | 19352494PubMed |
Mamede M de A, Araújo FS (2008) Effects of slash and burn practices on a soil seed bank of caatinga vegetation in Northeastern Brazil. Journal of Arid Environments 72, 458–470.
| Effects of slash and burn practices on a soil seed bank of caatinga vegetation in Northeastern Brazil.Crossref | GoogleScholarGoogle Scholar |
McHugh ML (2012) Interrater reliability: the kappa statistic. Biochemia Medica 22, 276–282.
| Interrater reliability: the kappa statistic.Crossref | GoogleScholarGoogle Scholar | 23092060PubMed |
Mithal V, Nayak G, Khandelwal A, Kumar V, Nemani R, Oza NC (2018) Mapping burned areas in tropical forests using a novel machine learning framework. Remote Sensing 10, 69
| Mapping burned areas in tropical forests using a novel machine learning framework.Crossref | GoogleScholarGoogle Scholar |
Mohler R, Goodin D (2016) An assessment of the accuracy of the MCA45A1 burned area product in tallgrass prairie. Papers in Applied Geography 2, 253–260.
| An assessment of the accuracy of the MCA45A1 burned area product in tallgrass prairie.Crossref | GoogleScholarGoogle Scholar |
Moreira AG (2000) Effects of fire protection on savanna structure in central Brazil. Journal of Biogeography 27, 1021–1029.
| Effects of fire protection on savanna structure in central Brazil.Crossref | GoogleScholarGoogle Scholar |
Mouillot F, Schultz MG, Yue C, Cadule P, Tansey K, Ciais P, Chuvieco E (2014) Ten years of global burned area products from spaceborne remote sensing – a review: analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation 26, 64–79.
| Ten years of global burned area products from spaceborne remote sensing – a review: analysis of user needs and recommendations for future developments.Crossref | GoogleScholarGoogle Scholar |
Murphy BP, Bradstock RA, Boer MM, Carter J, Cary GJ, Cochrane MA, Fensham RJ, Russell-Smith J, Williamson GJ, Bowman DMJS (2013) Fire regimes of Australia: a pyrogeographic model system. Journal of Biogeography 40, 1048–1058.
| Fire regimes of Australia: a pyrogeographic model system.Crossref | GoogleScholarGoogle Scholar |
Olofsson P, Foody GM, Herold M, Stehman SV, Woodcock CE, Wulder MA (2014) Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment 148, 42–57.
| Good practices for estimating area and assessing accuracy of land change.Crossref | GoogleScholarGoogle Scholar |
Overbeck GE, Vélez-Martin E, Scarano FR, Lewinsohn TM, Fonseca CR, Meyer ST, Müller SC, Ceotto P, Dadalt L, Durigan G, Ganade G, Gossner MM, Guadagnin DL, Lorenzen K, Jacobi CM, Weisser WW, Pillar VD (2015) Conservation in Brazil needs to include non-forest ecosystems. Diversity & Distributions 21, 1455–1460.
| Conservation in Brazil needs to include non-forest ecosystems.Crossref | GoogleScholarGoogle Scholar |
Padilla M, Stehman SV, Chuvieco E (2014) Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling. Remote Sensing of Environment 144, 187–196.
| Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling.Crossref | GoogleScholarGoogle Scholar |
Padilla M, Stehman SV, Ramo R, Corti D, Hantson S, Oliva P, Alonso-Canas I, Bradley A, Tansey K, Mota B, Pereira JM, Chuvieco E (2015) Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation. Remote Sensing of Environment 160, 114–121.
| Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation.Crossref | GoogleScholarGoogle Scholar |
Padilla M, Olofsson P, Stehman SV, Tansey K, Chuvieco E (2017) Stratification and sample allocation for reference burned area data. Remote Sensing of Environment 203, 240–255.
| Stratification and sample allocation for reference burned area data.Crossref | GoogleScholarGoogle Scholar |
Pivello VR (2011) The use of fire in the cerrado and Amazonian rainforests of Brazil: past and present. Fire Ecology 7, 24–39.
| The use of fire in the cerrado and Amazonian rainforests of Brazil: past and present.Crossref | GoogleScholarGoogle Scholar |
Pontius RG, Millones M (2011) Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing 32, 4407–4429.
| Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment.Crossref | GoogleScholarGoogle Scholar |
Pott A, Pott VJ (2004) Features and conservation of the Brazilian Pantanal wetland. Wetlands Ecology and Management 12, 547–552.
| Features and conservation of the Brazilian Pantanal wetland.Crossref | GoogleScholarGoogle Scholar |
Rodrigues JA, Libonati R, Pereira AA, Nogueira JMP, Santos FLM, Peres LF, Santa Rosa A, Schroeder W, Pereira JMC, Giglio L, Trigo IF, Setzer AW (2019) How well do global burned area products represent fire patterns in the Brazilian Savannas biome? An accuracy assessment of the MCD64 collections. International Journal of Applied Earth Observation and Geoinformation 78, 318–331.
| How well do global burned area products represent fire patterns in the Brazilian Savannas biome? An accuracy assessment of the MCD64 collections.Crossref | GoogleScholarGoogle Scholar |
Roy DP, Boschetti L (2009) Southern Africa validation of the MODIS, L3JRC, and GlobCarbon burned-area products. IEEE Transactions on Geoscience and Remote Sensing 47, 1032–1044.
| Southern Africa validation of the MODIS, L3JRC, and GlobCarbon burned-area products.Crossref | GoogleScholarGoogle Scholar |
Roy DP, Frost PGH, Justice CO, Landmann T (2005a) The Southern Africa Fire Network (SAFNet) regional burned-area product-validation protocol. International Journal of Remote Sensing 26, 4265–4292.
| The Southern Africa Fire Network (SAFNet) regional burned-area product-validation protocol.Crossref | GoogleScholarGoogle Scholar |
Roy DP, Jin Y, Lewis PE, Justice CO (2005b) Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment 97, 137–162.
| Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data.Crossref | GoogleScholarGoogle Scholar |
Roy DP, Boschetti L, Justice CO, Ju J (2008) The Collection 5 MODIS burned area product: global evaluation by comparison with the MODIS active fire product. Remote Sensing of Environment 112, 3690–3707.
| The Collection 5 MODIS burned area product: global evaluation by comparison with the MODIS active fire product.Crossref | GoogleScholarGoogle Scholar |
Santos SMB, Franca-Rocha WJS, Bento-Gonçalves AJ, Baptista GMM (2017) Quantificação e Avaliação dos Focos de Calor no Parque Nacional Da Chapada Diamantina e Entorno no Período de 2007 a 2016. Revista Brasileira de Cartografia 69, 701–712.
Schmidt IS, Fonseca CB, Ferreira MC, Sato MN (2016) Implementação do Programa Piloto de Manejo Integrado do Fogo em três Unidades de Conservação do Cerrado. Biodiversidade Brasileira 6, 55–70.
Schmidt IB, Moura LC, Ferreira MC, Eloy L, Sampaio AB, Dias PA, Berlinck CN (2018) Fire management in the Brazilian savanna: first steps and the way forward. Journal of Applied Ecology 55, 2094–2101.
| Fire management in the Brazilian savanna: first steps and the way forward.Crossref | GoogleScholarGoogle Scholar |
Schroeder W, Morisette JT, Csiszar I, Giglio L, Morton D, Justice CO (2005) Characterizing vegetation fire dynamics in Brazil through multisatellite data: common trends and practical issues. Earth Interactions 9, 1–26.
| Characterizing vegetation fire dynamics in Brazil through multisatellite data: common trends and practical issues.Crossref | GoogleScholarGoogle Scholar |
Silva CHL, Aragão LEOC, Fonseca MG, Almeida CT, Vedovato LB, Anderson LO (2018) Deforestation-induced fragmentation increases forest fire occurrence in central Brazilian Amazonia. Forests 9, 305
| Deforestation-induced fragmentation increases forest fire occurrence in central Brazilian Amazonia.Crossref | GoogleScholarGoogle Scholar |
Souza C, Azevedo T (2017) ‘MapBiomas general handbook.’ (MapBiomas: São Paulo, Brazil)
Tsela P, Wessels K, Botai J, Archibald S, Swanepoel D, Steenkamp K, Frost P (2014) Validation of the two standard MODIS satellite burned-area products and an empirically-derived merged product in South Africa. Remote Sensing 6, 1275–1293.
| Validation of the two standard MODIS satellite burned-area products and an empirically-derived merged product in South Africa.Crossref | GoogleScholarGoogle Scholar |
Wittkuhn RS, Hamilton T (2010) Using fire history data to map temporal sequences of fire return intervals and seasons. Fire Ecology 6, 97–114.
| Using fire history data to map temporal sequences of fire return intervals and seasons.Crossref | GoogleScholarGoogle Scholar |
