Surface Heat Balance Analysis by using ASTER and Formosat-2 data
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Surface Heat Balance Analysis by using ASTER and Formosat-2 data
Soushi KatoDepartment of Earth Sciences,
Earth Dynamic System Research Center,National Cheng Kung University
2008. 3. 11
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Introduction
Estimation of surface heat balance in urban areahelpful to understand the causes of heat island
effect
Using Remote Sensing datauseful to obtain spatial pattern
RS data with high spatial resolution and wide spectral coverage are suitable to heat balance estimation
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ASTER and Formosat-2ASTER VNIR Formosat-2
False-color images around NCKU, Taiwan (NIR, Green, Red)
Visible & NIR4 band8 m & 2 m resolution
Visible & NIR3 band15m resolution
SWIR TIR6 band 5 band30 m 90 m
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Surface Heat Balance
Surface
H
Anthropogenic heatEnergy consumption
Sensible heatSurface-atmosphere
temperature difference
Ground heatSurface-subsurface
temperature difference
Rn LE
Net radiationShort- and longwave
radiation
Latent heatEvapotranspiration
Rn + A = H + LE + GSensible heat flux increase → Heat island phenomenon
AG
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Storage Heat Flux (G)
G = G – A = Rn – H – LE
HRn LEG > 0 ⇒ Heat storage
G < 0 ⇒ Heat discharge
• Combine G and A• Estimated by Rn, H and LE
G A
HRn LE
G
Based on the method for ground measurement (e.g. Oke et al., 1999)
Storage heat flux
Netradiation
Sensibleheat
Latentheat
Anthropogenicheat
Groundheat
Ground heat (G)Anthropogenic heat (A) Difficult to obtain through a wide area
[W/m2]
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Net Radiation (Rn) Estimation
s : Surface emissivity (absorptance) (Ogawa et al., 2003)
Ta : Atmospheric temperature (K) Ts : Surface temperature (K)
Relative humidity (%)
Reflectance (Liang, 2000)
Rs : Solar radiation (W/m2)
: Albedo
RL : Longwave radiation (W/m2)
= i Ti4 (Stefan-Boltzmann’s law)
a : Atmospheric emissivity (Prata, 1996)
Atmospheric temperature (K)
Rn = (1 ー ) Rs + s RL↓ ー RL↑
Rs
RL↓ RL↑
s
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Sensible Heat Flux (H) Estimation
: Air density (kg/m3)Cp : Specific heat of air at constant pressure (J/kg K)
Ts : Surface temperature (K)Ta : Atmospheric temperature (K)
ra : Aerodynamic resistance (s/m)
Bulk resistance approach
Wind speed (m/s) Roughness length (m) Surface type
(Brutsaert, 1982; Kondo, 1994; Yasuda, 1995)
Ta Ts ra
Ts – Ta
raH = Cp
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Latent Heat Flux (LE) Estimation
: Air density (kg/m3)Cp : Specific heat of air at constant pressure (J/kg K)
es* : Saturation vapor pressure (hPa)
ea : Vapor pressure (hPa)
: Psychrometric constant (hPa/k)
ra : Aerodynamic resisntance (s/m)
rs : Stomatal resistance (s/m) (Nishida et al., 2003)
Air temperature (K)Relative humidity (%)
Surface temperature (K)
ea
es*
ra
rsBulk resistance approach
LE = Cp
es* – ea
ra + rs
Air temperature (K)Solar radiation (W/m2)Minimum rs (s/m)
Surface type
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Data Usedfalse color (NIR: Green: Red)
0 5km
Meteorological Station
Study area Tainan, Taiwan
Satellite dataASTER 2000 / 3 / 6 Formosat-2 2004 / 7 / 12
Meteorological dataTainan 2000 / 3 / 6
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Surface Classification Map
Urban
Road
Water
Bare soil
Short grass
Tall grass
Bush
Forest
Formosat-2
Derived from Maximum likelihood method and manual correction
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Comparison of Classification Maps
Formosat-2
Roads and vegetations are distinguished more clearly
ASTERSurface classification map around Tainan Station
0 1km
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40 360 W/m2
0 90 W/m2
-5 120 W/m2
Heat Fluxes by ASTER & Formosat-2Sensible heat H Latent heat LE
Storage heat G
Net radiation Rn
190 360 W/m2
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Further Study• Usage of ASTER and Formosat-2 data acquired on the
same (at least closer) dates• 2-m resolution pan-sharpened Formosat-2 image
ASTER 15m Formosat-2 8m Formosat-2 2m
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Thank you for your attention.