Characterization and mapping of fuel types for the Mediterranean ecosystems of Pollino National Park in southern Italy by using hyperspectral MIVIS data

Earth Interactions

Volumn 10, Issue 13, 2006, Pages 1-11

  Lasaponara, Rosa ^a   Lanorte, Antonio ^a   Pignatti, Stefano ^a  

^a CNR   (Italy)

Author keywords

Fire; Fuel type mapping; Hyperspectral MIVIS data

Indexed keywords

DATA ACQUISITION; ECOSYSTEMS; FIREPROOFING; FIRES; HYPERSPECTRAL IMAGING; MAXIMUM LIKELIHOOD; PHOTOMAPPING; REMOTE SENSING; SPECTRUM ANALYZERS; STATISTICAL TESTS;

CLASSIFICATION ACCURACY; FUEL TYPE MAPPINGS; GROUND-TRUTH DATASET; HYPERSPECTRAL; MAXIMUM-LIKELIHOOD CLASSIFICATION; MEDITERRANEAN ECOSYSTEM; MULTISPECTRAL INFRARED; SPECTRAL CHARACTERIZATION;

FUELS;

EID: 34249719324     PISSN: 10873562     EISSN: 10873562     Source Type: Journal    
DOI: 10.1175/EI165.1     Document Type: Article

References (20)

1. Albini, F. A., 1976: Estimating wildfire behavior and effects. General Tech. Rep. INT-30, Intermountain Forest and Range Experiment Station, USDA Forest Service, Ogden, UT, 92 pp.
2. Anderson, H. E., 1982: Aids to determining fuels models for estimating fire behavior. General Tech. Rep. INT-122, Intermountain Forest and Range Experiment Station, USDA Forest Service, Ogden, UT, 22 pp.
3. Burgan, R., and R. C. Rothermal, 1984: BEHAVE: Fire behavior prediction and fuel modeling system-FUEL subsystem. General Tech. Rep. INT-167, USDA Forest Service, 126 pp.
4. Castro, R., and E. Chuvieco, 1998: Modelling forest fire danger from geographic information systems. Geocarto Int., 13, 15-23.
5. Chuvieco, E., 1999: Remote Sensing of Large Wildfires in the European Mediterranean Basin. Springer-Verlag, 122 pp.
6. -, X. Cocero, I. Aguado, A. Palacios, and E. Preado, 2004: Improving burning efficiency estimates through satellite assessment of fuel moisture content. J. Geophys. Res., 109, D14S07, doi:10.1029/2003JD003467.
7. Cohen, W. B., 1989: Potential utility of the TM tasseled cap multispectral data transformation for crown fire hazard assessment. ASPRS/ACSM Annual Convention Proc.: Agenda for the 90's. Vol. 3, Baltimore, MD, ASPRS/ACSM, 118-127.
8. FAO, 2001. Global forest fire assessment 1990-2000. Forest Resources Assessment Programme, Working Paper No. 55.
9. Keane, R. E., S. A. Miincemoyer, K. A. Schmidt, D. G. Long, and J. L. Gardner, 2000: Mapping vegetation and fuel for fire management on the Gila National Forest Complex, New Mexico. General Tech. Rep. RMRS-GTR-46-CD, USDA Forest Service, 126 pp.
10. -, R. Burgan, and J. van Wagtendonk, 2001: Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modelling. Int. J. Wildland Fire, 10 x (3-4), 301-319.
11. Lillesand, T. M., and R. W. Kiefer, 2000: Remote Sensing and Image Interpretation. Wiley, 724 pp.
12. McKinley, R. A., E. P. Chine, and L. F. Werth, 1985: Operational fire fuels mapping with NOAA-AVHRR data. Proc. Tenth Pecora Memorial Remote Sensing Symp.: Remote Sensing in Forest and Range Resource Management, Bethesda, MD, American Society for Photogrammetry and Remote Sensing, 295-304.
13. Merrill, D. F., and M. E. Alexander, 1987: Glossary of Forest Fire Management Terms. National Research Council of Canada, Committee for Forest Fire Management, 91 pp.
14. Morris, W. G., 1970: Photo inventory of fine logging slash. Photogramm. Eng., 36, 1252-1256.
15. Muraro, S. J., 1970: Slash fuel inventories from 70 mm low-level photography. Canadian Forest Service Publication 1268, Canadian Forest Service, Ottawa, ON, Canada, 63 pp.
16. Oswald, B. P., J. T. Fancher, D. L. Kulhavy, and H. C. Reeves, 1999: Classifying fuels with aerial photography in East Texas. Int. J. Wildland Fire, 9(2), 301-319.
17. Riaño, D., E. Chuvieco, J. Salas, A. Palacios-Orueta, and A. Bastarrika, 2002: Generation of fuel type maps from Landsat-TM images and auxiliary data in Mediterranean ecosystem. Can. J. For. Res., 32, 1301-1315.
18. Salas, J., and E. Chuvieco, 1994: Geographic information system for wildland fire risk mapping. Wildfire, 3(2), 7-13.
19. van Wagtendonk, J. W., and R. R. Root, 2003: The USE of multitemporal Landsat Normalized Difference Vegetation Index (NDVI) data for mapping fuels models in Yosemite national Park, USA. Int. J. Remote Sens., 24, 1639-1651.
20. Vila, M., F. Lloret, E. Ogheri, and J. Terradas, 2001: Positive fire-grass feedback in Mediterranean: Basin shrubland. For. Ecol. Manage., 147, 3-14.