Methodology for estimating burned area from AVHRR reflectance data

被引:37
作者
Razafimpanilo, H [1 ]
Frouin, R [1 ]
Iacobellis, SF [1 ]
Somerville, RCJ [1 ]
机构
[1] UNIV CALIF SAN DIEGO,SCRIPPS INST OCEANOG,LA JOLLA,CA 92093
基金
美国海洋和大气管理局; 美国国家科学基金会; 美国国家航空航天局;
关键词
D O I
10.1016/0034-4257(95)00154-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Two methods are described to determine burned area from Advanced Very High Resolution Radiometer (AVHRR) data. The first method, or the ''linear method,'' employs Channel 2 reflectance, R(2), and is based on the nearly linear relationship between the fraction of pixel burned, P, and R(2). The second method, or the ''nonlinear method,'' employs the Normalized Difference Vegetation Index (NDVI) derived from Channels 1 and 2 reflectances, and is based on the nonlinear relationship P=f(NDVI), a polynomial of order 2 in NDVI. The coefficients of the polynomial are parameterized as a function of the NDVI of the background before the fire event. Radiative transfer simulations indicate that the linear method, unlike the nonlinear method, must be applied to top-of-atmosphere reflectances that have been corrected for atmospheric influence. Sensitivity studies suggest that the methods are subject to some limitations. To avoid discontinuity problems, the original background (just before the fire) must be characterized by a Channel 2 reflectance above 0.07 and by a positive NDVI. To separate the useful signal from atmospheric effects, the fire scar must occupy at least 20% and 12% of the pixel area in the case of savanna and green vegetation (e.g., forest), respectively When applied to uniform pixels, the mean relative error on the fraction of area burned is about 20% for the linear method and 10% for the nonlinear method. The linear method gives better results for nonuniform pixels, but neither method can be used when the pixel contains low reflectance backgrounds (e.g., water).
引用
收藏
页码:273 / 289
页数:17
相关论文
共 39 条
[1]  
Belward, Kennedy, Gregoire, The limitations and potential of AVHRR GAC data for continental scale fire studies, Int. J. Remote Sens., 15, 11, pp. 2215-2234, (1994)
[2]  
Brustet, Vickos, Fontan, Manissadjan, Podaire, Lavenu, Remote sensing of biomass burning in West Africa with NOAA-AVHRR, Global Biomass Burning, pp. 47-52, (1991)
[3]  
Cahoon, Stocks, Levine, Cofer, O'Neill, Seasonal distribution of African savanna fires, Nature, 359, pp. 812-815, (1992)
[4]  
Chuvieco, Congalton, Mapping and inventory of forest fires from digital processing of TM data, Geocarto Int., 3, 4, pp. 41-53, (1988)
[5]  
Delmas, Research activities in Africa related to the IGAC programme, IGAC Newsletter, 2, (1990)
[6]  
FIRE, Fire in global resource and environmental monitoring, (1994)
[7]  
Franca, Brustet, Fontan, A multispectal remote sensing of biomass burning in West Africa, J. Atmos. Chem., (1995)
[8]  
Frederiksen, Langaas, Mbaye, NOAA AVHRR and GIS-based monitoring of fire activity in Senegal — a provisional methodology and potential applications, Fire in the Tropical Biota, 84, pp. 400-417, (1990)
[9]  
Goldammer, Fire in the Tropical Biota, Ecological Studies, 84, (1990)
[10]  
Hao, Liu, Crutzen, Estimates of annual and regional releases of CO<sub>2</sub> and other trace gases to the atmosphere from fires in the tropics, based on the FAO statistics for the period 1975–1980, Fire in the Tropical Biota, 84, pp. 440-462, (1990)