Accuracy assessment of burned area products in the Orinoco basin
Burned area products derived from satellite images are used as input to determine biomass burning emissions. Appropriate assessment of the accuracy of burned area products is required to assess reliable emissions. This document provides validation results for four burned area products: GlobCarbon, M...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2010
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/4310
- Acceso en línea:
- http://hdl.handle.net/11407/4310
- Palabra clave:
- Accuracy assessment
Amazonian forests
Biomass burning emissions
Burned areas
Confusion matrix
Landscape metric
Omission errors
Pareto boundary
Pixel size
Rapid conversion
Satellite images
Study areas
Validation results
Errors
Pixels
Remote sensing
Photogrammetry
- Rights
- License
- http://purl.org/coar/access_right/c_16ec
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Accuracy assessment of burned area products in the Orinoco basin |
| title |
Accuracy assessment of burned area products in the Orinoco basin |
| spellingShingle |
Accuracy assessment of burned area products in the Orinoco basin Accuracy assessment Amazonian forests Biomass burning emissions Burned areas Confusion matrix Landscape metric Omission errors Pareto boundary Pixel size Rapid conversion Satellite images Study areas Validation results Errors Pixels Remote sensing Photogrammetry |
| title_short |
Accuracy assessment of burned area products in the Orinoco basin |
| title_full |
Accuracy assessment of burned area products in the Orinoco basin |
| title_fullStr |
Accuracy assessment of burned area products in the Orinoco basin |
| title_full_unstemmed |
Accuracy assessment of burned area products in the Orinoco basin |
| title_sort |
Accuracy assessment of burned area products in the Orinoco basin |
| dc.contributor.affiliation.spa.fl_str_mv |
Anaya, J., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, Colombia Chuvieco, E., Catedrático Universidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, Spain |
| dc.subject.keyword.eng.fl_str_mv |
Accuracy assessment Amazonian forests Biomass burning emissions Burned areas Confusion matrix Landscape metric Omission errors Pareto boundary Pixel size Rapid conversion Satellite images Study areas Validation results Errors Pixels Remote sensing Photogrammetry |
| topic |
Accuracy assessment Amazonian forests Biomass burning emissions Burned areas Confusion matrix Landscape metric Omission errors Pareto boundary Pixel size Rapid conversion Satellite images Study areas Validation results Errors Pixels Remote sensing Photogrammetry |
| description |
Burned area products derived from satellite images are used as input to determine biomass burning emissions. Appropriate assessment of the accuracy of burned area products is required to assess reliable emissions. This document provides validation results for four burned area products: GlobCarbon, MCD45, L3JRC and AQS. The study area is at the northern South American savannas along the Orinoco River since there is a rapid conversion of Amazonian forest to cattle pasture. A validation method was applied from 2001 to 2007 based on the comparison of commission and omission errors from 20 confusion matrixes with their respective efficient solution. Efficient solutions were determined using the "Pareto Boundary". This method allows estimating the potential for improving burned area algorithms as well as evaluating the effect of pixel size on accuracy. A landscape metric was used to analyze the weight of the fragments' distribution on global accuracy. It was found that all products underestimate burned area and that an increase in pixel size or border density results in larger burned area estimate errors. |
| publishDate |
2010 |
| dc.date.created.none.fl_str_mv |
2010 |
| dc.date.accessioned.none.fl_str_mv |
2017-12-19T19:36:47Z |
| dc.date.available.none.fl_str_mv |
2017-12-19T19:36:47Z |
| dc.type.eng.fl_str_mv |
Conference Paper |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_c94f |
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9781617389160 |
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http://hdl.handle.net/11407/4310 |
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reponame:Repositorio Institucional Universidad de Medellín |
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instname:Universidad de Medellín |
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9781617389160 reponame:Repositorio Institucional Universidad de Medellín instname:Universidad de Medellín |
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http://hdl.handle.net/11407/4310 |
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eng |
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eng |
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http://www.scopus.com/inward/record.url?eid=2-s2.0-84868533342&partnerID=40&md5=015c46c72ec3cf82ca68e8b12756a75a |
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American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies |
| dc.relation.references.spa.fl_str_mv |
Boschetti, L., Brivio, P.A., Eva, H., Gallego, J., Baraldi, A., Gregoire, J.M., A sampling method for the restrospective validation of global burned area products (2006) IEEE Transactions on Geoscience and Remote Sensing, 44, pp. 1765-1772 Boschetti, L., Eva, H.D., Brivio, P.A., Gregoire, J.M., Lessons to be learned from the comparison of three satellite-derived biomass burning products (2004) Geophysical Research Letters, 31. , (L21501):doi:10.1029/2004GL021229 Boschetti, L., Flasse, S.P., Brivio, P.A., Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The pareto boundary (2004) Remote Sensing of Environment, 91, pp. 280-292 Cardoso, M.F., Hurtt, G.C., Moore III, B., Nobre, C.A., Prins, E.M., Projecting future fire activity in amazonia (2003) Global Change Biology, 9, pp. 656-669 Congalton, R.G., Accuray assessment and validation of remotely sensed and other spatial information (2001) International Journal of Wildland Fire, 10, pp. 321-328 Chuvieco, E., Opazo, S., Sione, W., Del Valle, H., Anaya, J., Di Bella, C., Cruz, I., Libonari, R., (2008) Global Burned Land Estimation in Latin America Using MODIS Composite Data. Ecological Applications, 18, pp. 64-79 Fassnacht, K., Cohen, W., Spies, T.A., Key issues in making and using satellite-based maps in ecology: A primer (2006) Forest Ecology and Management, 222, pp. 167-181 Hoelzemann, J.J., Schultz, M.G., Brasseur, G.P., Granier, C., Global wildland fire emission model (GWEM): Evaluating the use of global area burnt satellite data (2004) Journal of Geophysical Research, 109. , doi:10.1029/2003JD003666 Levine, J.S., Bobbe, T., Ray, N., Witt, R.G., (1999) Wildland Fires and the Environment: A Global Synthesis, pp. 1-52. , UNEP/DEIAEW/TR.99-1 Miettinen, J., (2007) Burnt Area Mapping in Insular Southeast Asia Using Medium Resolution Satellite Imagery, , University of Helsinki, Helsinki Miller, J.D., Yool, S.R., Mapping forest post-fire canopy consumption in several overstory types using multi-tempora landsat TM and ETM data (2002) Remote Sensing of Environment, 82, pp. 481-496 Morisette, J.T., Privette, J.L., Justice, C.O., A framework for the validation of MODIS land products (2002) Remote Sensing of Environment, 83, pp. 77-96 Opazo, S., Chuvieco, E., Cartografía de áreas quemadas en Sudamérica: Detección de píxeles semilla (2009) Revista de Teledetección, 32, pp. 50-71 Quintano, C., Fenández, A., Delgado De La Mata, J.A., Shimbukuro, Y.E., Determination of spectral mixture analysis validity for estimating burned area using AVHRR data and multitemporal analysis (2002) Forest Fire Research & Wildland Fire Safety, pp. 1-10. , Millpress, Rotterdam Roman-Cuesta, R.M., Retana, J., Gracia, M., Rodriguez, R., A quantitative comparison of methods for classifying burned area with LISS-III imagery (2005) International Journal of Remote Sensing, 26, pp. 1979-2003 Roy, D., Landmann, T., Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data (2005) International Journal of Remote Sensing, 26, pp. 4179-4218 Roy, D.P., Jin, Y., Lewis, P.E., Justice, C.O., Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data (2005) Remote Sensing of Environment, 97, pp. 137-162 Schultz, M.G., Heil, A., Hoelzemann, J.J., Spessa, A., Thonicke, K., Goldammer, J.G., Held, A.C., Van Het Bolscher, M., Global wildland fire emissions from 1960 to 2000 (2008) Global Biogeochemical Cycles, 22. , (GB2002):doi:10.1029/2007GB003031 Silva, J.M.N., Sá, A.C.L., Pereira, J.M.C., Comparison of burned area estimates derived from SPOTVEGETATION and landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type (2005) Remote Sensing of Environment, 96, pp. 188-201 Simon, M., Plummer, S., Fierens, F., Hoelzemann, J.J., Arino, O., Burnt area detection at global scale using ATSR-2: The GLOBSCAR products and their qualification (2004) Journal of Geophysical Research, 109. , (D14S02):doi:10.1029/2003JD003622 Smith, J.H., Stehman, S.V., Wickham, J.D., Yang, L., Effects of landscape characteristics on land-cover class accuracy (2003) Remote Sensing of Environment, 84, pp. 342-349 Tansey, K., Grégoire, J.-M., Pereira, J.M.C., Defourny, P., Leigh, R., Pekel, J.-F., Barros, A., Bontemps, S., L3JRC - A global, multi-year (2000-2007) burnt area product (1 km resolution and daily time steps) (2007) Remote Sensing and Photogrammetry Society Annual Conference 2007, , Newcastle upon Tyne, UK Tansey, K., Gregoire, J.M., Binaghi, E., Boschetti, L., Brivio, P.A., Ershov, D., Flasse, S.P., Stroppiana, D., A global inventory of burned areas at 1 km resolution for the year 2000 derived from SPOT vegetation data (2004) Climatic Change, 67, pp. 345-377 Ward, D., Hao, W.M., Susott, R.A., Babbitt, R.E., Effect of fuel composition on combustion efficiency and emission factors for African savanna ecosystems (1996) Journal of Geophysical Research, 101, pp. 23569-523576 |
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Facultad de Ingenierías |
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Scopus |
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Universidad de Medellín |
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Repositorio Institucional Universidad de Medellin |
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repositorio@udem.edu.co |
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2017-12-19T19:36:47Z2017-12-19T19:36:47Z20109781617389160http://hdl.handle.net/11407/4310reponame:Repositorio Institucional Universidad de Medellíninstname:Universidad de MedellínBurned area products derived from satellite images are used as input to determine biomass burning emissions. Appropriate assessment of the accuracy of burned area products is required to assess reliable emissions. This document provides validation results for four burned area products: GlobCarbon, MCD45, L3JRC and AQS. The study area is at the northern South American savannas along the Orinoco River since there is a rapid conversion of Amazonian forest to cattle pasture. A validation method was applied from 2001 to 2007 based on the comparison of commission and omission errors from 20 confusion matrixes with their respective efficient solution. Efficient solutions were determined using the "Pareto Boundary". This method allows estimating the potential for improving burned area algorithms as well as evaluating the effect of pixel size on accuracy. A landscape metric was used to analyze the weight of the fragments' distribution on global accuracy. It was found that all products underestimate burned area and that an increase in pixel size or border density results in larger burned area estimate errors.enghttp://www.scopus.com/inward/record.url?eid=2-s2.0-84868533342&partnerID=40&md5=015c46c72ec3cf82ca68e8b12756a75aAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial TechnologiesBoschetti, L., Brivio, P.A., Eva, H., Gallego, J., Baraldi, A., Gregoire, J.M., A sampling method for the restrospective validation of global burned area products (2006) IEEE Transactions on Geoscience and Remote Sensing, 44, pp. 1765-1772Boschetti, L., Eva, H.D., Brivio, P.A., Gregoire, J.M., Lessons to be learned from the comparison of three satellite-derived biomass burning products (2004) Geophysical Research Letters, 31. , (L21501):doi:10.1029/2004GL021229Boschetti, L., Flasse, S.P., Brivio, P.A., Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The pareto boundary (2004) Remote Sensing of Environment, 91, pp. 280-292Cardoso, M.F., Hurtt, G.C., Moore III, B., Nobre, C.A., Prins, E.M., Projecting future fire activity in amazonia (2003) Global Change Biology, 9, pp. 656-669Congalton, R.G., Accuray assessment and validation of remotely sensed and other spatial information (2001) International Journal of Wildland Fire, 10, pp. 321-328Chuvieco, E., Opazo, S., Sione, W., Del Valle, H., Anaya, J., Di Bella, C., Cruz, I., Libonari, R., (2008) Global Burned Land Estimation in Latin America Using MODIS Composite Data. Ecological Applications, 18, pp. 64-79Fassnacht, K., Cohen, W., Spies, T.A., Key issues in making and using satellite-based maps in ecology: A primer (2006) Forest Ecology and Management, 222, pp. 167-181Hoelzemann, J.J., Schultz, M.G., Brasseur, G.P., Granier, C., Global wildland fire emission model (GWEM): Evaluating the use of global area burnt satellite data (2004) Journal of Geophysical Research, 109. , doi:10.1029/2003JD003666Levine, J.S., Bobbe, T., Ray, N., Witt, R.G., (1999) Wildland Fires and the Environment: A Global Synthesis, pp. 1-52. , UNEP/DEIAEW/TR.99-1Miettinen, J., (2007) Burnt Area Mapping in Insular Southeast Asia Using Medium Resolution Satellite Imagery, , University of Helsinki, HelsinkiMiller, J.D., Yool, S.R., Mapping forest post-fire canopy consumption in several overstory types using multi-tempora landsat TM and ETM data (2002) Remote Sensing of Environment, 82, pp. 481-496Morisette, J.T., Privette, J.L., Justice, C.O., A framework for the validation of MODIS land products (2002) Remote Sensing of Environment, 83, pp. 77-96Opazo, S., Chuvieco, E., Cartografía de áreas quemadas en Sudamérica: Detección de píxeles semilla (2009) Revista de Teledetección, 32, pp. 50-71Quintano, C., Fenández, A., Delgado De La Mata, J.A., Shimbukuro, Y.E., Determination of spectral mixture analysis validity for estimating burned area using AVHRR data and multitemporal analysis (2002) Forest Fire Research & Wildland Fire Safety, pp. 1-10. , Millpress, RotterdamRoman-Cuesta, R.M., Retana, J., Gracia, M., Rodriguez, R., A quantitative comparison of methods for classifying burned area with LISS-III imagery (2005) International Journal of Remote Sensing, 26, pp. 1979-2003Roy, D., Landmann, T., Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data (2005) International Journal of Remote Sensing, 26, pp. 4179-4218Roy, D.P., Jin, Y., Lewis, P.E., Justice, C.O., Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data (2005) Remote Sensing of Environment, 97, pp. 137-162Schultz, M.G., Heil, A., Hoelzemann, J.J., Spessa, A., Thonicke, K., Goldammer, J.G., Held, A.C., Van Het Bolscher, M., Global wildland fire emissions from 1960 to 2000 (2008) Global Biogeochemical Cycles, 22. , (GB2002):doi:10.1029/2007GB003031Silva, J.M.N., Sá, A.C.L., Pereira, J.M.C., Comparison of burned area estimates derived from SPOTVEGETATION and landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type (2005) Remote Sensing of Environment, 96, pp. 188-201Simon, M., Plummer, S., Fierens, F., Hoelzemann, J.J., Arino, O., Burnt area detection at global scale using ATSR-2: The GLOBSCAR products and their qualification (2004) Journal of Geophysical Research, 109. , (D14S02):doi:10.1029/2003JD003622Smith, J.H., Stehman, S.V., Wickham, J.D., Yang, L., Effects of landscape characteristics on land-cover class accuracy (2003) Remote Sensing of Environment, 84, pp. 342-349Tansey, K., Grégoire, J.-M., Pereira, J.M.C., Defourny, P., Leigh, R., Pekel, J.-F., Barros, A., Bontemps, S., L3JRC - A global, multi-year (2000-2007) burnt area product (1 km resolution and daily time steps) (2007) Remote Sensing and Photogrammetry Society Annual Conference 2007, , Newcastle upon Tyne, UKTansey, K., Gregoire, J.M., Binaghi, E., Boschetti, L., Brivio, P.A., Ershov, D., Flasse, S.P., Stroppiana, D., A global inventory of burned areas at 1 km resolution for the year 2000 derived from SPOT vegetation data (2004) Climatic Change, 67, pp. 345-377Ward, D., Hao, W.M., Susott, R.A., Babbitt, R.E., Effect of fuel composition on combustion efficiency and emission factors for African savanna ecosystems (1996) Journal of Geophysical Research, 101, pp. 23569-523576ScopusAccuracy assessment of burned area products in the Orinoco basinConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAnaya, J., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, ColombiaChuvieco, E., Catedrático Universidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, SpainAnayaJ.ChuviecoE.Universidad de Medellín, Carrera 87 No. 30-65, Medellín, ColombiaCatedrático Universidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, SpainAccuracy assessmentAmazonian forestsBiomass burning emissionsBurned areasConfusion matrixLandscape metricOmission errorsPareto boundaryPixel sizeRapid conversionSatellite imagesStudy areasValidation resultsErrorsPixelsRemote sensingPhotogrammetryFacultad de IngenieríasBurned area products derived from satellite images are used as input to determine biomass burning emissions. Appropriate assessment of the accuracy of burned area products is required to assess reliable emissions. This document provides validation results for four burned area products: GlobCarbon, MCD45, L3JRC and AQS. The study area is at the northern South American savannas along the Orinoco River since there is a rapid conversion of Amazonian forest to cattle pasture. A validation method was applied from 2001 to 2007 based on the comparison of commission and omission errors from 20 confusion matrixes with their respective efficient solution. Efficient solutions were determined using the "Pareto Boundary". This method allows estimating the potential for improving burned area algorithms as well as evaluating the effect of pixel size on accuracy. A landscape metric was used to analyze the weight of the fragments' distribution on global accuracy. It was found that all products underestimate burned area and that an increase in pixel size or border density results in larger burned area estimate errors.http://purl.org/coar/access_right/c_16ec11407/4310oai:repository.udem.edu.co:11407/43102020-05-27 18:16:57.729Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |