METHODOLOGY FOR ESTIMATING BURNED AREA FROM AVHRR REFLECTANCE DATA

Citation
H. Razafimpanilo et al., METHODOLOGY FOR ESTIMATING BURNED AREA FROM AVHRR REFLECTANCE DATA, Remote sensing of environment, 54(3), 1995, pp. 273-289
Citations number
39
Categorie Soggetti
Environmental Sciences","Photographic Tecnology","Remote Sensing
ISSN journal
00344257
Volume
54
Issue
3
Year of publication
1995
Pages
273 - 289
Database
ISI
SICI code
0034-4257(1995)54:3<273:MFEBAF>2.0.ZU;2-4
Abstract
Two methods are described to determine burned area from Advanced Very High Resolution Radiometer (AVHRR) data. The first method, or the ''li near method,'' employs Channel 2 reflectance, R(2), and is based on th e 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(NDV I), a polynomial of order 2 in NDVI. The coefficients of the polynomia l are parameterized as a function of the NDVI of the background before the fire event. Radiative transfer simulations indicate that the line ar method, unlike the nonlinear method, must be applied to top-of-atmo sphere reflectances that have been corrected for atmospheric influence . Sensitivity studies suggest that the methods are subject to some lim itations. To avoid discontinuity problems, the original background (ju st before the fire) must be characterized by a Channel 2 reflectance a bove 0.07 and by a positive NDVI. To separate the useful signal from a tmospheric 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., fore st), respectively When applied to uniform pixels, the mean relative er ror on the fraction of area burned is about 20% for the linear method and 10% for the nonlinear method. The linear method gives better resul ts for nonuniform pixels, but neither method can be used when the pixe l contains low reflectance backgrounds (e.g., water).