Revisión de la utilización de distintos índices espectrales y técnicas para la cartografía de área quemada en imágenes MODIS

Referencias bibliográficas

• BARBOSA, P. M., J. SAN-MIGUEL AYANZ, B. MARTÍNEZ y G. SCHMUCK (2002): Burnt area mapping in southern Europe using irs-wifs, en Forest Fire Research & Wildland Fire Safety (editado por Viegas). Rotterdam, Millpress.
• CHUVIECO, E. (2002): Teledetección Ambiental: La observación de la Tierra desde el Espacio, Barcelona, Ariel Ciencia.Ariel Ciencia
• CHUVIECO, E., M. P. MARTÍN y A. PALACIOS (2002a): Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination. International Journal of Remote Sensing, 23: 5103-5110
• CHUVIECO, E., M. P. MARTÍN y G. VENTURA (2002b): Evaluación de imágenes NOAA-AVHRR y Terra-MODIS para cartografía regional de áreas quemadas, X Simposio Internacional de la Sociedad de Expertos Latinoamericanos en Percepción Remota (SELPER), Cochabamba, Bolivia
• DEBBA, P., F. J. A. VAN RUITENBEEK, F. D. VAN DER MEER, J. M. CARRANZA y A. STEIN (2005): Optimal field sampling for targeting minerals using hyperspectral data. Remote Sensing of Environment, 99: 373-386.
• DENNISON, P. E., A. ROBERTS DAR, S. H. PETERSON y J. RECHEL (2005): Use of Normalized Difference Water Index for monitoring live fuel moisture content. International Journal of Remote Sensing, 26: 10351042
• FRASER, R. H., Z. LI y R. LANDRY (2000): SPOT Vegetation for Characterising Boreal Forest Fires. International Journal of Remote Sensing, 21: 3525-3532.
• GARCIA, M. y E. CHUVIECO (2004): Assessment of the potential of SACC/MMRSimagery for mapping burned areas in Spain. RemoteSensing of Environment, 92: 414—423.
• GIGLIO, L., J. DESCLOITRES, C. O. JUSTICE y J. B. KAUFFMAM (2003): An Enhanced Contextual Fire Detection Algorithm for MODIS. RemoteSensing of Environment, 87: 273-282.
• GRÉGOIRE, J. M., K. TANSEY y J. M. N. SILVA (2003): The GBA2000 initiative: Developing a global burned area database from SPOT-VEGETATION imagery. International Journal of Remote Sensing, 24: 1369-1376
• HUETE, A. R. (1988): A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25: 295-309
• JUSTICE, C. O., L. GIGLIO, et al., (2002a): The MODIS fire products. Remote Sensing of Environment, 83: 244—262.
• JUSTICE, C. O., J. R. G. TOWNSHEND, et al., (2002b): An overview of MODIS Land data processing and product status. Remote Sensing of Environment, 83: 3-15.
• JUSTICE, C. O., E. VERMOTE, et al., (1998): The Moderate Resolution Imaging Spectroradiometer (MODIS): Land Remote Sensing for Global Change Research. IEEE Transactions on Geoscience and Remote Sensing, 36: 1228-1249.
• KEY, C. H. y N. BENSON (2005): Landscape Assessment: Ground measure of severity, the Composite Burn Index; and Remote sensing of severity, the Normalized Burn Ratio., en FIREMON: Fire Effects Monitoring and Inventory System (editado por D. C. Lutes, R. E. Keane, J. F. Carattiet al). Ogden, UT, USDA Forest Service, Rocky Mountain Research Station, Gen. Tech. Rep. RMRS-GTR-164: CD: LA1-LA51.
• KOUTSIAS, N. y M. KARTERIS (1998): Logistic regression modelling of multitemporal Thematic Mapper data for burned area mapping. International Journal of Remote Sensing, 19: 3499-3514.
• KOUTSIAS, N. y M. KARTERIS (2000): Burned area mapping using logistic regression modeling of a single post-fire Landsat-5 Thematic Mapper image. International Journal of Remote Sensing, 21: 673-687.
• KOUTSIAS, N., M. KARTERIS y E. CHUVIECO (1999): Burnt land mapping at local scale, en Remote sensing of large wildfires in the European Mediterranean basin (editado por E. Chuvieco). Berlin, Germany, Springer-Verlag: 123-138
• KOUTSIAS, N., M. KARTERIS y E. CHUVIECO (2000): The use of intensity-huesaturation transformation of Landsat-5 Thematic Mapper data for burned land mapping. Photogrammetric Engineering and Remote Sensing, 66: 829-839
• LI, R.-R., Y. J. KAUFMAN, W. M. HAO, J. M. SALMON y B.-C. GAO (2004a): A technique for detecting burn scars using MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 42: 1300-1308
• LI, R. R., Y. J. KAUFMAN, W. M. HAO, J. M. SALMON y B. C. GAO (2004b): A Technique for Detecting Burn Scars Using MODIS Data. IEEETransactions on Geoscience and Remote Sensing, 42: 1300-1308.
• LÓPEZ GARCÍA, M. J. y V. CASELLES (1991): Mapping Burns and Natural Reforestation Using Thematic Mapper Data. Geocarto International, 1: 31-37.
• MARTÍN, M. P. (1998): Cartografíaeinventariodeincendiosforestalesen la Península Ibérica a partir de imágenes NOAA-AVHRR, Departamento de Geografía, Alcalá de Henares, Universidad de Alcalá.
• MARTÍN, M. P. y E. CHUVIECO (1998): Cartografía de grandes incendios forestales en la Península Ibérica a partir de imágenes NOAA-AVHRR. Serie Geográfica, 7: 109-128.
• MARTÍN, M. P., R. DÍAZ DELGADO, E. CHUVIECO y G. VENTURA (2002): Burned land mapping using NOAA-AVHRR and TERRA-MODIS, IV International Conference on Forest Fire Research. 2002 Wildland Fire Safety Summit, Luso, Coimbra, Portugal, Millpress: 45.
• MARTÍN, M. P., I. GÓMEZ y E. CHUVIECO (2005): Performance of a burnedarea index (BAIM) for mapping Mediterranean burned scars from MODIS data, en Proceedingsofthe5thInternationalWorkshopon Remote Sensing and GIS applications to Forest Fire Management: Fire Effects Assessment (editado por J. Riva, F. Pérez-CabelloyE. Chuvieco). Paris, Universidad de Zaragoza, GOFC-GOLD, EARSeL: 193-198.
• PEREIRA, J. M. C. (1999): A Comparative Evaluation of NOAA/AVHRR Vegetation Indexes for Burned Surface Detection and Mapping. IEEE Transactions on Geoscience and Remote Sensing, 37: 217-226.
• PEREIRA, J. M. C., E. CHUVIECO, A. BEUDOIN y N. DESBOIS (1997): Remote Sensing of burned areas: a review, en A review of remote sensing methods for the study of large wildland fires (editado por E. Chuvieco). Alcalá de Henares, Departamento de Geografía, Universidad de Alcalá: 127-184
• PEREIRA, J. M. C., A. C. L. SA, A. M. O. SOUSA, M. P. MARTÍN y E. CHUVIECO (1999a): Regional-scale burnt area mapping in Southern Europe using NOAA-AVHRR 1 km data, en Remote Sensing of Large Wildfires in the European Mediterranean Basin (editado por E. Chuvieco). Berlin, Springer-Verlag: 139-155.
• PEREIRA, J. M. C., A. C. L. SA, A. M. O. SOUSA, J. M. N. SILVA, T. N. SANTOS y J. M. B. CARREIRAS (1999b): Spectral characterisation and discrimination of burnt areas, en Remote Sensing of Large Wildfires in the European Mediterranean Basin (editado por E. Chuvieco). Berlin, Springer-Verlag: 123-138.
• PEREIRA, M. C. y A. W. SETZER (1993): Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia. InternationalJournalofRemote Sensing, 14: 2061-2078.
• PINTY, B. y M. M. VERSTRAETE (1992): GEMI:a non-linear index to monitor global vegetation from satellites. Vegetatio, 101: 15-20
• ROGAN, J. y J. FRANKLIN (2001): Mapping wildfire burn severity in Southern California Forests and shrublands using enhanced Thematic Mapper imagery. Geocarto International, 16: 89-99.
• ROY, D. P., L. GIGLIO, J. D. KENDALL y C. O. JUSTICE (1999): Multi-temporal active-fire based burn scar detection algorithm. International Journal of Remote Sensing, 20: 1031-1038.
• ROY, D. P., Y. JIN, P. E. LEWIS y C. O. JUSTICE (2005a): Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment, 97: 137-162.
• VÁZQUEZ, A., J. M. CUEVAS y F. GONZÁLEZ-ALONSO (2001): Comparison of the use of WiFS and LISS images to estimate the area burned in a large forest fire. International Journal of Remote Sensing, 22: 901907.