1 Spatial Modelling of the Terrestrial Environment - Georeferencial
1 Spatial Modelling of the Terrestrial Environment - Georeferencial
1 Spatial Modelling of the Terrestrial Environment - Georeferencial
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184 <strong>Spatial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>the</strong> <strong>Terrestrial</strong> <strong>Environment</strong><br />
Figure 9.3 Study <strong>of</strong> a wildfire spectral emittance analysed with ASTER imagery. The fire<br />
was imaged during <strong>the</strong> night-time ASTER pass on 8 September 2000 over Zambia (16.09 ◦ S,<br />
22.84 ◦ E). The image subset shows <strong>the</strong> 100 × 75 pixel ASTER 2.4 µm sub-image <strong>of</strong> <strong>the</strong> fire,<br />
with a ground pixel resolution <strong>of</strong> 30 m. Bright pixels correspond to areas where fire activity<br />
is causing intense <strong>the</strong>rmal radiation at 2.4 µm wavelength. Similar emittance occurs in <strong>the</strong><br />
o<strong>the</strong>r five ASTER SWIR bands (1.6–2.3 µm) and spectra in all six ASTER bands for two <strong>of</strong><br />
<strong>the</strong> ‘fire’ pixels are shown in <strong>the</strong> graph, alongside <strong>the</strong> best-fire modelled spectra calculated<br />
via <strong>the</strong> two <strong>the</strong>rmal component model used previously to analyse spectra from ground-based<br />
fires recorded with <strong>the</strong> GER 3700 instrument (see Figure 9.2). Spectra have been adjusted for<br />
atmospheric effects using MODTRAN-estimated atmospheric transmissions convolved to <strong>the</strong><br />
ASTER bandpasses. The fit between <strong>the</strong> measured and modelled ASTER data <strong>of</strong> fire pixel 1 is<br />
reasonable, but that for fire pixel 2 is poor because <strong>the</strong> individual spectral radiances do not<br />
approximate a smoothly varying Planck-type function<br />
However, applying this spectral-matching technique to satellite imagery poses <strong>the</strong> problem<br />
that, unlike field spectroradiometers, <strong>the</strong> majority <strong>of</strong> satellite-based IR instruments<br />
measure radiation in only a relatively few wavebands. This generally precludes use<br />
<strong>of</strong> this method to derive <strong>the</strong> effective emitter characteristics from <strong>the</strong> data shown<br />
in Figure 9.1. However, <strong>the</strong> Advanced Spaceborne Thermal Emission and Reflection<br />
Radiometer (ASTER), orbiting onboard <strong>the</strong> EOS Terra satellite, does possess sufficient<br />
shortwave IR wavebands for <strong>the</strong> application <strong>of</strong> this approach. A night-time sou<strong>the</strong>rn Africa<br />
ASTER scene (Figure 9.3, inset) was used to test <strong>the</strong> possibility <strong>of</strong> determining fire <strong>the</strong>rmal<br />
characteristics via this approach. Unfortunately, as can be seen from Figure 9.3, <strong>the</strong> individual<br />
spectral measurements from <strong>the</strong> majority <strong>of</strong> <strong>the</strong> ASTER fire pixels were not well<br />
fitted by a smoothly varying multi-<strong>the</strong>rmal component Planck function <strong>of</strong> <strong>the</strong> type used<br />
to analyse <strong>the</strong> emission spectra recorded by <strong>the</strong> GER 3700. In some cases a reasonable<br />
fit was obtained, for example, in <strong>the</strong> case <strong>of</strong> Fire Pixel 1 in Figure 9.3, but it was found