On the Use of Satellite Remote Sensing Data to Characterize and Map Fuel Types
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[1] M. Nunez,et al. Assessing Grassland Moisture and Biomass in Tasmania - the Application of Remote-Sensing and Empirical-Models for a Cloudy Environment , 1995 .
[2] A. S. Belward,et al. The limitations and potential of AVHRR GAC data for continental scale fire studies , 1994 .
[3] Frieke Van Coillie,et al. Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium , 2007 .
[4] R. Burgan,et al. Fuel Models and Fire Potential From Satellite and Surface Observations , 1998 .
[5] Patricia L. Andrews,et al. Fire modeling and information system technology , 2001 .
[6] Sj Simard. Fire Severity, Changing Scales, and How Things Hang Together , 1991 .
[7] Nikos Koutsias,et al. Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site , 2008 .
[8] Li Jing,et al. A Forest Fire Risk Assessment Using ASTER Images in Peninsular Malaysia , 2007 .
[9] David O. Wallin,et al. Two Decades of Carbon Flux from Forests of the Pacific Northwest , 1996 .
[10] A. Chronopoulou-Sereli,et al. Wildland Fire Danger Zoning – a Methodology , 1998 .
[11] J. Omernik. Ecoregions of the Conterminous United States , 1987 .
[12] J. E. Deeming. National Fire-Danger Rating System / , 1972 .
[13] J. Michaelsen,et al. Estimating grassland biomass and leaf area index using ground and satellite data , 1994 .
[14] M. J. Cosentino,et al. Describing the Brushfire Hazard in Southern California , 1985 .
[15] Giovanni Bovio,et al. Fuel type mapping with Landsat TM images and ancillary data in the Prealpine region of Italy , 2006 .
[16] Bill Leenhouts,et al. Assessment of Biomass Burning in the Conterminous United States , 1998 .
[17] H. Lachowski,et al. FUEL LOADING AND RISK ASSESSMENT LASSEN NATIONAL FOREST , 2022 .
[18] F. Maselli. Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas , 2003 .
[19] Jesslyn F. Brown,et al. Development of a land-cover characteristics database for the conterminous U.S. , 1991 .
[20] W. Walker,et al. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy , 2006 .
[21] E. Chuvieco. Remote Sensing of Large Wildfires , 1999 .
[22] J. Hudson. A DIAMOND ANNIVERSARY , 1979 .
[23] Russell G. Congalton,et al. Assessing the accuracy of remotely sensed data : principles and practices , 1998 .
[24] P. Defourny,et al. Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery , 2006 .
[25] I. Gitas,et al. Object-oriented classification modelling for fuel type mapping in the Mediterranean, using LANDSAT TM and IKONOS imagery- preliminary results , 2002 .
[26] Walter C. Oechel,et al. The Role of Fire in Mediterranean-Type Ecosystems , 2011, Ecological Studies.
[27] Wayne A. Miller,et al. Comparison of fire fuel maps produced using MSS and AVHRR data , 1985 .
[28] Robert E. Keane,et al. Development of input data layers for the FARSITE fire growth model for the Selway-Bitterroot Wilderness Complex, USA , 1998 .
[29] Fabio Maselli,et al. Evaluation of forest fire risk by the analysis of environmental data and TM images , 1996 .
[30] P. H. Kourtz,et al. An application of LANDSAT digital technology to forest fire fuel type mapping , 1977 .
[31] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[32] E. Chuvieco,et al. Application of remote sensing and geographic information systems to forest fire hazard mapping. , 1989 .
[33] Andrew C. Millington,et al. Estimating Woody Biomass in Sub-Saharan Africa , 1994 .
[34] J. Moreno,et al. Methods for quantifying fire severity in shrubland-fires , 1998, Plant Ecology.
[35] E. Chuvieco,et al. Global fire mapping and fire danger estimation using AVHHR images , 1994 .
[36] B. A. Wilson,et al. Landsat MSS Classification of Fire Fuel Types in Wood Buffalo National Park, Northern Canada , 1994 .
[37] Rosa Lasaponara,et al. On the capability of satellite VHR QuickBird data for fuel type characterization in fragmented landscape , 2007 .
[38] B. Oswald,et al. Classifying fuels with aerial photography in East Texas , 1999 .
[39] M. Finney. FARSITE : Fire Area Simulator : model development and evaluation , 1998 .
[40] Sean P. Healey,et al. Using object‐oriented classification and high‐resolution imagery to map fuel types in a Mediterranean region , 2006 .
[41] Jack D. Cohen,et al. The 1978 National Fire-Danger Rating System: technical documentation , 1984 .
[42] D. Riaño,et al. Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems , 2002 .
[43] W. G. Morris. Photo inventory of fine logging slash. , 1970 .
[44] Ramakrishna R. Nemani,et al. Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation , 1989 .
[45] The Foundation For Province-wide Forest Fuel Mapping , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.
[46] Sorin C. Popescu,et al. Mapping surface fuel models using lidar and multispectral data fusion for fire behavior , 2008 .
[47] Isabel Cristina Pascual Castaño,et al. Fire models and methods to map fuel types: The role of remote sensing. , 2008 .
[48] J. Pausas,et al. 2 The role of fire in European Mediterranean Ecosystems , 1999 .
[49] Deriving dynamic information on fire fuel distributions in southern Californian chaparral from remotely sensed data , 1993 .
[50] J. D. Tarpley,et al. Vegetation cover mapping from NOAA/AVHRR , 1985 .
[51] S. Muraro. Slash fuel inventories from 70-mm low-level photography , 1970 .
[52] R. Keane,et al. Mapping vegetation and fuels for fire management on the Gila National Forest Complex, New Mexico , 2000 .
[53] P. Gong,et al. Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama , 2004 .
[54] R. Keane,et al. Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling , 2001 .
[55] Susan L. Ustin,et al. Mapping the Distribution of Wildfire Fuels Using AVIRIS in the Santa Monica Mountains , 1998 .
[56] W. Oechel,et al. Fire Intensity as a Determinant Factor of Postfire Plant Recovery in Southern California Chaparral , 1994 .
[57] Rosa Lasaponara,et al. Remotely sensed characterization of forest fuel types by using satellite ASTER data , 2007, Int. J. Appl. Earth Obs. Geoinformation.