Mostrar el registro sencillo del ítem

Accuracy assessment of burned area products in the Orinoco basin

dc.creatorAnayaspa
dc.creatorJ.spa
dc.creatorChuviecospa
dc.creatorE.spa
dc.date.accessioned2017-12-19T19:36:47Z
dc.date.available2017-12-19T19:36:47Z
dc.date.created2010
dc.identifier.isbn9781617389160
dc.identifier.urihttp://hdl.handle.net/11407/4310
dc.description.abstractBurned 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.eng
dc.language.isoeng
dc.relation.isversionofhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84868533342&partnerID=40&md5=015c46c72ec3cf82ca68e8b12756a75aspa
dc.sourceScopusspa
dc.titleAccuracy assessment of burned area products in the Orinoco basinspa
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.contributor.affiliationAnaya, J., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, Colombiaspa
dc.contributor.affiliationChuvieco, E., Catedrático Universidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, Spainspa
dc.subject.keywordAccuracy assessmenteng
dc.subject.keywordAmazonian forestseng
dc.subject.keywordBiomass burning emissionseng
dc.subject.keywordBurned areaseng
dc.subject.keywordConfusion matrixeng
dc.subject.keywordLandscape metriceng
dc.subject.keywordOmission errorseng
dc.subject.keywordPareto boundaryeng
dc.subject.keywordPixel sizeeng
dc.subject.keywordRapid conversioneng
dc.subject.keywordSatellite imageseng
dc.subject.keywordStudy areaseng
dc.subject.keywordValidation resultseng
dc.subject.keywordErrorseng
dc.subject.keywordPixelseng
dc.subject.keywordRemote sensingeng
dc.subject.keywordPhotogrammetryeng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.abstractBurned 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.eng
dc.creator.affiliationUniversidad de Medellín, Carrera 87 No. 30-65, Medellín, Colombiaspa
dc.creator.affiliationCatedrático Universidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, Spainspa
dc.relation.ispartofesAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologiesspa
dc.relation.referencesBoschetti, 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. 1765-1772spa
dc.relation.referencesBoschetti, 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:10.1029/2004GL021229spa
dc.relation.referencesBoschetti, 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. 280-292spa
dc.relation.referencesCardoso, 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. 656-669spa
dc.relation.referencesCongalton, R.G., Accuray assessment and validation of remotely sensed and other spatial information (2001) International Journal of Wildland Fire, 10, pp. 321-328spa
dc.relation.referencesChuvieco, 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. 64-79spa
dc.relation.referencesFassnacht, 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. 167-181spa
dc.relation.referencesHoelzemann, 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:10.1029/2003JD003666spa
dc.relation.referencesLevine, J.S., Bobbe, T., Ray, N., Witt, R.G., (1999) Wildland Fires and the Environment: A Global Synthesis, pp. 1-52. , UNEP/DEIAEW/TR.99-1spa
dc.relation.referencesMiettinen, J., (2007) Burnt Area Mapping in Insular Southeast Asia Using Medium Resolution Satellite Imagery, , University of Helsinki, Helsinkispa
dc.relation.referencesMiller, 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. 481-496spa
dc.relation.referencesMorisette, J.T., Privette, J.L., Justice, C.O., A framework for the validation of MODIS land products (2002) Remote Sensing of Environment, 83, pp. 77-96spa
dc.relation.referencesOpazo, S., Chuvieco, E., Cartografía de áreas quemadas en Sudamérica: Detección de píxeles semilla (2009) Revista de Teledetección, 32, pp. 50-71spa
dc.relation.referencesQuintano, 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, Rotterdamspa
dc.relation.referencesRoman-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. 1979-2003spa
dc.relation.referencesRoy, D., Landmann, T., Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data (2005) International Journal of Remote Sensing, 26, pp. 4179-4218spa
dc.relation.referencesRoy, 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. 137-162spa
dc.relation.referencesSchultz, 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:10.1029/2007GB003031spa
dc.relation.referencesSilva, 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. 188-201spa
dc.relation.referencesSimon, 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:10.1029/2003JD003622spa
dc.relation.referencesSmith, 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. 342-349spa
dc.relation.referencesTansey, 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, UKspa
dc.relation.referencesTansey, 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. 345-377spa
dc.relation.referencesWard, 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. 23569-523576spa
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellínspa


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem