Comparison of multitemporal compositing methods for burnt area detection in Southeast Asian conditions

References

• Anderson , I. P. , Bowen , M. R. , Imanda , I. D. and Muhnandar . 1999 . “ Vegetation fires in Indonesia: the fire history of the Sumatra provinces 1996–1998 as a predictor of future areas at risk. ” . Jakarta : Ministry of Forestry and Estate Crops and European Union . Forest fire prevention and control project, Palembang
   Google Scholar
• Barbosa , P. M. , Pereira , J. M. C. and Grégoire , J.‐M. 1998 . Compositing criteria for burned area assessment using multitemporal low resolution satellite data. . Remote Sensing of Environment , 65 : 3‐8 – 49 .
   Web of Science ®Google Scholar
• Bowen , M. R. , Bompard , J. M. , Anderson , I. P. , Guizol , P. and Guyon , A. 2001 . “ Anthropogenic fires in Indonesia: A view from Sumatra. ” . In Forest fires and regional haze in Southeast Asia , Edited by: Eaton , P and Radojevic , M . 41 – 66 . Huntington, New York : Nova Science .
   Google Scholar
• Chuvieco , E. , Ventura , G. , Pilar Martín , M. and Gomez , I. 2005 . Assessment of multitemporal compositing techniques of MODIS and AVHRR images for burned land mapping. . Remote Sensing of Environment , 94 : 450 – 462 .
   Web of Science ®Google Scholar
• Cihlar , J. , Manak , D. and D'Iorio , M. 1994 . Evaluation of compositing algorithms for AVHRR data over land. . IEEE Transactions on Geoscience and Remote Sensing , 32 : 427 – 437 .
   Web of Science ®Google Scholar
• EOS website. Earth Observing System Data Gateway, Available online at: http://edcimswww.cr.usgs.gov/pub/imswelcome/
   Google Scholar
• Epting , J. , Verbyla , D. and Sorbel , B. 2005 . Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+. . Remote Sensing of Environment , 96 : 328 – 339 .
   Web of Science ®Google Scholar
• Fernandez , A. , Illera , P. and Casanova , J. L. 1997 . Automatic mapping of surfaces affected by forest fires in Spain using AVHRR NDVI composite image data. . Remote Sensing of Environment , 60 : 153 – 162 .
   Web of Science ®Google Scholar
• Fukunaga , K. 1990 . Introduction to statistical pattern recognition , Netherlands : Academic Press Inc . 2nd ed
   Google Scholar
• Fuller , D. O. and Fulk , M. 2001 . Burned area in Kalimantan, Indonesia mapped with NOAA‐AVHRR and Landsat TM imagery. . International Journal of Remote Sensing , 22 : 691 – 697 .
   Web of Science ®Google Scholar
• GES DAAC website. , Goddard Earth Sciences Distributed Active Archive Center, Available online at: http://daac.gsfc.nasa.gov/data/dataset/MODIS/01_Level_1/index.html
   Google Scholar
• Kaufmann , Y. J. , Wald , A. E. , Remer , L. A. , Gao , B.‐C. , Li , R.‐R. and Flynn , L. 1997 . The MODIS 2.1 µm channel – correlation with visible reflectance for use in remote sensing of aerosol. . IEEE Transactions on Geoscience and Remote Sensing , 35 : 1286 – 1298 .
   Web of Science ®Google Scholar
• Key , C. H. and Benson , N. C. 1999 . “ Measuring and remote sensing of burn severity. ” . In Joint Fire Science Conference and Workshop Edited by: Neuenschwander , L. F and Ryan , K. C . 284 Proceedings Vol II (Univ. Idaho and Int. Assoc. Wildland Fire)
   Google Scholar
• Lee , C. and Choi , E. 2000 . Bayes error evaluation of the Gaussian ML classifier. . IEEE Transactions on Geoscience and Remote Sensing , 38 : 1471 – 1475 .
   Web of Science ®Google Scholar
• Miettinen , J. 2007 . “ Variability of fire‐induced changes in MODIS surface reflectance by land cover type in Borneo. ” . In International Journal of Remote Sensing Vol. 28 , 4967 – 4984 .
   Google Scholar
• Miettinen , J. and Liew , S. C. Remote sensing point of view to the burning patterns in Sumatra, Indonesia. 25^th Asian Conference on Remote Sensing 2004 , pp. 1312 – 1317 .
   Google Scholar
• Miller , J. D. and Yool , S. R. 2002 . Mapping forest post‐fire canopy consumption in several overstory types using multitemporal Landsat TM and ETM data. . Remote Sensing of Environment , 82 : 481 – 496 .
   Web of Science ®Google Scholar
• MODIS LST User's Guide. Available online at: http://www.icess.ucsb.edu/modis/LstUsrGuide/usrguide_mod11.html
   Google Scholar
• Nicolas , M. V. J. 1998 . “ Fighting the forest fires: the South Sumatra experience. ” . 22 Forest fire prevention and control project, Palembang. Ministry of forestry and estate crops and European Union, Jakarta. Internal report
   Google Scholar
• Rieley , J. O. and Page , S. E. 2005 . Wise use of tropical peatlands: focus of Southeast Asia Edited by: Rieley , J. O and Page , S. E . 237 (ALTERRA – Wageningen University and Research Centre and the EU INCO – STRAPEAT and RESTORPEAT Partnership). ISBN 90327‐0347‐1
   Google Scholar
• Roy , D. P. , Jin , Y. , Lewis , P. E. and Justice , C. O. 2005 . Prototyping a global algorithm for systematic fire‐affected area mapping using MODIS time series data. . Remote Sensing of Environment , 97 : 137 – 162 .
   Web of Science ®Google Scholar
• Sá , A. C. L. , Pereira , J. M. C. , Vasconcelos , M. J. P. , Silva , J. M. N. , Ribeiro , N. and Awasse , A. 2003 . Assessing the feasibility of sub‐pixel burned area mapping in miombo woodlands of Northern Mozambique using MODIS imagery. . International Journal of Remote Sensing , 24 : 1783 – 1796 .
   Web of Science ®Google Scholar
• Silva , J. M. N. , Cadima , J. F. C. L. , Pereira , J. M. C. and Grégoire , J.‐M. 2004 . Assessing the feasibility of a global model for multitemporal burned area mapping using SPOT‐VEGETATION data. . International Journal of Remote Sensing , 25 : 4889 – 4913 .
   Web of Science ®Google Scholar
• Silva , J. M. N. , Sá , A. C. L. and Pereira , J. M. C. 2005 . Comparison of burned area estimates derived from SPOT‐VEGETATION and Landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type. . Remote Sensing of Environment , 96 : 188 – 201 .
   Web of Science ®Google Scholar
• Sousa , A. M. O. , Pereira , J. M. C. and Silva , J. M. N. 2003 . Evaluating the performance of multitemporal image compositing algorithms for burned area analysis. . International Journal of Remote Sensing , 24 : 1219 – 1236 .
   Web of Science ®Google Scholar
• Stroppiana , D. , Pinnock , S. , Pereira , J. M. C. and Grégoire , J.‐M. 2002 . Radiometric analysis of SPOT‐VEGETATION images for burnt area detection in Northern Australia. . Remote Sensing of Environment , 82 : 21 – 37 .
   Web of Science ®Google Scholar
• Web Fire Mapper website. Web Fire Mapper, Available online at: http://maps.geog.umd.edu/
   Google Scholar
• Wolfe , R. E. , Roy , D. P. and Vermote , E. 1998 . MODIS land data storage, gridding, and compositing methodology: Level 2 Grid. . IEEE Transactions on Geoscience and Remote Sensing , 36 : 1324 – 1338 .
   Web of Science ®Google Scholar
• Zhang , Y.‐H. , Wooster , M. J. , Tutubalina , O. and Perry , G. L. W. 2003 . Monthly burned area and forest fire carbon emission estimates for the Russian Federation from SPOT VGT. . Remote Sensing of Environment , 87 : 1 – 15 .
   Web of Science ®Google Scholar