Using AHS hyper-spectral images to study forest vegetation recovery after a fire

International Journal of Remote Sensing

Volumn 34, Issue 11, 2013, Pages 4025-4048

  Huesca, Margarita ^a   Merino de Miguel, Silvia ^a   González Alonso, Federico ^b   Martínez, Sergio ^c   Miguel Cuevas, José ^b   Calle, Abel ^d  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria   (Spain)

^c Dirección general de Medio Ambiente Natural   (Spain)

^d UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONSERVATION; DAMAGE DETECTION; DEFORESTATION; INSTRUMENTS; RADIOMETERS; RECOVERY; REMOTE SENSING; SATELLITE IMAGERY; SPECTROSCOPY; TIME SERIES; VEGETATION;

BURNED AREAS; CENTRAL SPAIN; ELECTROMAGNETIC SPECTRA; FIELD DATA; FIRE SEVERITY; FOREST FIRES; FOREST RESTORATION; FOREST VEGETATION; HIGH TEMPORAL RESOLUTION; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; MEDITERRANEAN ECOSYSTEM; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS TIME SERIES; MULTI-TEMPORAL DATA; NORMALIZED DIFFERENCE VEGETATION INDEX; POST-FIRE; RELIABLE ESTIMATES; SENSOR TECHNOLOGIES; SPECTRAL UNMIXING; VEGETATION RECOVERY;

FIRES;

ELECTROMAGNETIC RADIATION; FOREST ECOSYSTEM; FOREST FIRE; MODIS; MULTISPECTRAL IMAGE; NDVI; REMOTE SENSING; SATELLITE DATA; SPECTRAL ANALYSIS; TIME SERIES; VEGETATION; WAVELENGTH;

CONSERVATION; DAMAGE; DEFORESTATION; FOREST FIRES; INSTRUMENTS; RADIOMETRY; RECOVERY; REMOTE SENSING; SATELLITES; SPAIN; TIME SERIES ANALYSIS;

CASTILLA-LA MANCHA; GUADALAJARA [CASTILLA-LA MANCHA]; MEDITERRANEAN REGION; SPAIN;

EID: 84874605543     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.772313     Document Type: Article

References (51)

1. Adams, J. B., Smith, M. O. and Johnson, P. E. 1985. Spectral Mixture Modeling: A New Analysis of Rock and Soil Types at the Viking Lander 1 Site. Journal of Geophysical Research, 91(B8): 8098-8112.
2. Boardman, J. W., Kruse, F. A. and Green, R. O. Mapping Target Signatures via Partial Unmixing of AVIRIS Data. Paper presented at the Fifth Annual JPL Airborne Earth Science Workshop. Pasadena, CA. January 23-26.
3. Che, N. and Price, J. C. 1992. Survey of Radiometric Calibration Results and Methods for Visible and Near Infrared Channels of NOAA-7, -9, and -11 AVHRRs. Remote Sensing of Environment, 41(1): 19-27.
4. Chuvieco, E. 2009. "Global Impacts of Fire". In Earth Observation of Wildland Fires in Mediterranean Ecosystems, Edited by: Chuvieco, E. 1-10. Berlin: Springer.
5. Cochrane, M. A. and Souza, C. M. 1998. Linear Mixture Model Classification of Burned Forests in the Eastern Amazon. International Journal of Remote Sensing, 19(17): 3433-3440.
6. Cocke, A. E., Fulé, P. Z. and Crouse, J. E. 2005. Comparison of Burn Severity Assessments Using Differenced Normalized Burn Ratio and Ground Data. International Journal of Wildland Fire, 14(2): 189-198.
7. De Santis, A. and Chuvieco, E. 2007. Burn Severity Estimation from Remotely Sensed Data: Performance of Simulation versus Empirical Models. Remote Sensing of Environment, 108(4): 422-435.
8. Díaz-Delgado, R., Lloret, F. and Pons, X. 2003. Influence of Fire Severity on Plant Regeneration through Remote Sensing Imagery. International Journal of Remote Sensing, 24(8): 1751-1763. doi:10.1080/01431160210144732
9. Drake, N. A., Mackin, S. and Settle, J. J. 1999. Mapping Vegetation, Soils, and Geology in Semiarid Shrublands Using Spectral Matching and Mixture Modeling of SWIR AVIRIS Imagery. Remote Sensing of Enviornment, 68(1): 12-25.
10. Gitas, I. Z., de Santis, A. and Mitri, G. H. 2009. "Remote Sensing of Burn Severity". In Earth Observation of Wildland Fires in Mediterranean Ecosystems Edited by: Chuvieco, E. 129-148. Berlin: Springer
11. González-Alonso, F., Merino-de-Miguel, S., Roldán-Zamarrón, A., García-Gigorro, S. and Cuevas, J. M. 2007. MERIS Full Resolution Data for Mapping Level-of-Damage by Forest Fires: The Valencia De Alcántara Event in August 2003. International Journal of Remote Sensing, 28(3-4): 797-809.
12. Green, A. A., Berman, M., Switzer, P. and Craig, M. D. 1988. A Transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for Noise Removal. IEEE Transactions on Geoscience and Remote Sensing, 26(1): 65-74.
13. Harsanyi, J. C. and Chang, C. 1994. Hyperspectral Image Classification and Dimensionality Reduction: An Orthogonal Subspace Projection Approach. IEEE Transactions on Geoscience and Remote Sensing, 32(4): 779-785.
14. ICONA. 1993. Segundo Inventario Forestal Nacional. Guadalajara. 1986-1995, Madrid: Ministerio de Agricultura, Pesca y Alimentación.
15. Key, C. H. and Benson, N. C. 2005. "Landscape Assessment: Remote Sensing of Severity, the Normalized Burn Ratio". In FIREMON: Fire Effects Monitoring and Inventory System, Edited by: Lutes, D. C. Ogden: USDA Forest Service, Rocky Mountain Research Station.
16. Kokaly, R. F., Rockwell, B. W., Haire, S. L. and King, T. V. V. 2007. Characterization of Post-Fire Surface Cover, Soils and Burn Severity at the Cerro Grande Fire, New Mexico, Using Hyperspectral and Multispectral Remote Sensing. Remote Sensing of Environment, 106(3): 305-325.
17. Lentile, L. B., Holden, Z. A., Smith, A. M. S., Falkowski, M. J., Hudak, A. T., Morgan, P., Lewis, S. A., Gessler, P. E. and Benson, N. C. 2006. Remote Sensing Techniques to Assess Active Fire Characteristics and Post-Fire Effects. International Journal of Wildland Fire, 15(3): 319-345.
18. Lentile, L. B., Smith, A. M. S., Hudak, A. T., Morgan, P., Bobbitt, M. J., Lewis, S. A. and Robichaud, P. R. 2009. Remote Sensing for Prediction of 1-Year Post-Fire Ecosystem Condition. International Journal of Wildland Fire, 18(5): 594-608.
19. Levine, J. S. 1991. "Introduction". In Global Biomass Burning: Atmospheric, Climatic and Biospheric Implications, Edited by: Levine, J. S. Cambridge, MA: MIT Press.
20. Levine, J. S. 1996. "Introduction". In Biomass Burning and Global Change: Remote Sensing, Modeling and Inventory Development, and Biomass Burning in Africa, Edited by: Levine, J. S. Cambridge, MA: MIT press.
21. Lewis, S. A., Lentile, L. B., Hudak, A. T., Robichaud, P. R., Morgan, P. and Bobbitt, M. J. 2007. Mapping Ground Cover Using Hyperspectral Remote Sensing after the 2003 Simi and Old Wildfires in Southern California. Fire Ecology, 3(1): 109-128.
22. Miller, A. B. and Yool, S. R. 2002. Mapping Forest Post-Fire Canopy Consumption in Several Overstory Types Using Multi-Temporal Landsat TM and ETM Data. Remote Sensing of Environment, 82(2-3): 481-496.
23. Miller, J. D. and Thode, A. E. 2007. Quantifying Burn Severity in a Heterogeneous Landscape with a Relative Version of the Delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment, 109(1): 66-80.
24. Mooney, H. A. and Hobbs, R. J. 1986. "Resillience at the Individual Plant Level". In Resillience in Mediterranean-Type Ecosystems, Edited by: Dell, B. B., Lamont, D. and Hopkins, A. J. 65-82. The Hague: Dr. W. Junk.
25. Moreno, J. M. Cambio global e incendios forestales: Una visión desde España. Paper presented at the 4th Wildfire International Conference. Sevilla. May 10-14.
26. Palacios-Orueta, A., Chuvieco, E., Parra, A. and Carmona-Moreno, C. 2005. Biomass Burning Emissions: A Review of Models Using Remote-Sensing Data. Environmental Monitoring and Assessment, 104(1-3): 189-209.
27. Pausas, J. G. 2004. Changes in Fire and Climate in the Eastern Iberian Peninsula (Mediterranean Basin). Climatic Change, 63: 337-350.
28. Pausas, J. G., Ribeiro, E. and Vallejo, R. 2004. Post-Fire Regeneration Variability of Pinus Halepensis in the Eastern Iberian Peninsula. Forest Ecology and Management, 203(1-3): 251-259.
29. Pérez-Cabello, F., Echeverría, M. T., Ibarra, P. and de la Riva, J. 2009. "Effects of Fire on Vegetation, Soil and Hydrogeomorpholocial Behavior in Mediterranean Ecosystems". In Earth Observation of Wildland Fires in Mediterranean Ecosystems, Edited by: Chuvieco, E. 111-128. Berlin: Springer.
30. Prado Ortega, E. 2007. "Mejoras en la evaluación y corrección de errores de corregistro en imágenes hiperspectrales AHS para estudios multitemporales". In Master's thesis, Universidad de Alcalá de Henares, Madrid: España.
31. Retana, J., Espelta, J. M., Habrouk, A., Ordoñez, J. L. and Solà-Morales, F. 2002. Regeneration Patterns of Three Mediterranean Pines and Forest Changes after a Large Wildfire in Northeastern Spain. Ecosience, 9(1): 89-97.
32. Riaño, D., Chuvieco, E., Ustin, S., Zomer, R., Dennison, P., Roberts, D. and Salas, J. 2002. Assessment of Vegetation Regeneration after Fire through Multitemporal Analysis of AVIRIS Images in the Santa Monica Mountains. Remote Sensing of Environment, 79(1): 60-71.
33. Richter, R. and Schläpfer, D. 2002. Geo-Atmospheric Processing of Airborne Imaging Spectrometry Data. Part 2: Atmospheric/Topographic Correction. International Journal of Remote Sensing, 23(13): 2631-2649.
34. Robichaud, P. R., Lewis, S. A., Laes, D. Y. M., Hudad, A. T., Kokaly, R. F. and Zamudio, J. A. 2007. Postfire Soil Burn Severity Mapping with Hyperspectral Image Unmixing. Remote Sensing of Environment, 108(4): 467-580.
35. Röder, A., Hill, J., Duguy, B., Alloza, J. A. and Vallejo, R. 2008. Using Long Time Series of Landsat Data to Monitor Fire Events and Post-Fire Dynamics and Identify Driving Factors. A Case Study in the Ayora Region (Eastern Spain). Remote Sensing of Environment, 112(1): 259-273.
36. Roldán-Zamarrón, A., Merino-de-Miguel, S., González-Alonso, F., García-Gigorro, S. and Cuevas, J. M. 2006. Minas De Riotinto (South Spain) Forest Fire: Burned Area Assessment and Severity Mapping Using Landsat 5-TM, Envisat-MERIS and Terra-MODIS Post-Fire Images. Journal of Geophysical Research, 111: G04S11
37. Roy, D. P., Boschetti, L. and Trigg, S. N. 2006. Remote Sensing of Fire Severity: Assessing the Performance of the Normalized Burn Ratio. IEEE Geoscience and Remote Sensing Letters, 3(1): 112-116. doi:10.1109/LGRS.2005.858485
38. Ruíz-Gallardo, J. R., Castaño, S. and Calera, A. 2004. Application of Remote Sensing and GIS to Locate Priority Intervention Areas after Wildland Fires in Mediterranean Systems: A Case Study From South-Eastern Spain. International Journal of Wildland Fire, 13(3): 241-252. doi:10.1071/WF02057
39. Schläpfer, D., Schaepman, M. E. and Itten, K. I. 1998. PARGE: Parametric Geocoding Based on GCP-Calibrated Auxiliary Data. Imaging Spectrometry IV SPIE, 3438: 334-344.
40. Settle, J. J. and Drake, N. A. 1993. Linear Mixing and the Estimation of Ground Cover Proportions. International Journal of Remote Sensing, 14(6): 1159-1177.
41. Smith, A. M. S., Wooster, M. J., Drake, N. A., Dipotso, F. M., Falkowski, M. J. and Hudak, A. T. 2005. Testing the Potential of Multi-Spectral Remote Sensing for Retrospectively Estimating Fire Severity in African Savannahs. Remote Sensing of Environment, 97(1): 92-115.
42. Smith, G. M. and Milton, E. J. 1999. The Use of the Empirical Line Method to Calibrate Remotely Sensed Data to Reflectance. International Journal of Remote Sensing, 20(13): 2653-2662.
43. Tou, J. T. and González, R. C. 1974. Pattern Recognition Principles, Reading, MA: Addison-Wesley Publishing Company.
44. Van der Werf, G. R., Randerson, J. T., Gilgio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y. and van Leeuwen, T. T. 2010. Global Fire Emissions and the Contribution of Deforestation, Savanna, Forest, Agricultural, and Peat Fires (1997-2009). Atmospheric Chemistry and Physics, 10: 11707-11735. doi:10.51194/acp-10-11707-2010
45. van Leeuwen, W. J. D. 2008. Monitoring the Effects of Forest Restoration Treatments on Post-Fire Vegetation Recovery with MODIS Multitemporal Data. Sensors, 8(3): 2017-2042. doi:10.3390/S8032017
46. van Leeuwen, W. J. D., Casady, G. M., Neary, D. G., Bautista, S., Alloza, J. A., Carmel, Y., Wittenberg, L., Malkinson, D. and Orr, B. J. 2010. Monitoring Post-Wildfire Vegetation Response with Remotely Sensed Time-Series Data in Spain, USA and Israel. International Journal of Wildland Fire, 19(1): 75-93.
47. Vermote, E. F., S. Y. Kotchenova, and J. P. Ray. 2011. "MODIS Surface Reflectance User's Guide." Accessed February 21, 2012 http://modis-sr.ltdri.org/products/MOD09_UserGuide_v1_3.pdf (http://modis-sr.ltdri.org/products/MOD09_UserGuide_v1_3.pdf)
48. Vicente-Serrano, S., érez-Cabello, F. P and Lasanta, T. 2008. Assessment of Radiometric Correction Techniques in Analyzing Vegetation Variability and Change Using Time Series of Landsat Images. Remote Sensing of Environment, 112(10): 3916-3934.
49. Viedma, O., Meliá, J., Segarra, D. and García-Haro, J. 1997. Modeling Rates of Ecosystem Recovery after Fires by Using Landsat TM Data. Remote Sensing of Environment, 61(3): 383-398.
50. White, J. D., Ryan, K. C., Key, C. and Running, S. W. 1996. Remote Sensing of Forest Fire Severity and Vegetation Recovery. International Journal of Wildland Fire, 6(3): 125-136.
51. Wimberly, M. C. and Reilly, M. J. 2007. Assessment of Fire Severity and Species Diversity in the Southern Appalachians Using Landsat TM and ETM+ Imagery. Remote Sensing of Environment, 108(2): 189-197.