عرض رسالة ماجستير أجيزت من جامعة الملك سعود

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4. -Urban Climate
Cities Create Their own Climates
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Heat lsland

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GI. scienceRS

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(Digital)
(Total Station)
(GPS)

12. •(Spatial Data)
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(Scann)
•(Raw Data)Landsat
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•GPS
•(Attribute Data)
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(Radiation Balance)
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165/04300166/04300
(Mosaic)
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15. •LandSat5
(Geometric Correction)
(Landsat)
Ground Control
PointsGCP
(Root Mean Square error)
(ERDAS IMAGINE 9.3)
(TM)
Landsat 7
Ground Control Points (GCP)-

16. (mosaic)
(Radiance)
(
Mask )
(Ground Control Points
(GCP)
(Raw Data)
Rectification
-(Geometric Correction)

17. (
Standard Global Positioning System GPS)*
wgs84UTM
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18. -( Standard Global Positioning System GPS)

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mosaic
•(ERDAS IMAGINE 9.3)
(mosaic)-
-(mosaic)

20. •(Contrast)(Breakpoints)(load)
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21. (ERDAS IMAGINE 9.3)(BAND 6)
(THERMINAL BAND)UHI
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ETM+
DATA
TM
DATA
(Radiance)
T =
k2
In (1 +
k1/L(λ))
L(λ) = T- 273.1
L(λ
)
= G * DN + B

22. L(λ) = G * DN + B
Digital Number Value (DN)
(Radiance)--
(DN)(Radiance)
(bias)(gain)(Header)
(Aniello et. al., 1995)
L(λ) : Radiance
G(Gain) = 0.05518 TM
G(Gain) = 0.03720 ETM+
DN =
B (Bais) = 1.2378 TM
B (Bais) = 3.2 ETM+
L(λ) = 0.05518* DN + 1.2378L(λ) = 0.03720 * DN + 3.2
: (TM): (ETM+)

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T =
K2
In (1 + k1/L(λ))
(Aniello et. al., 1995) and (Weng, et. al., 2004)
:
T :
K1 : 607.76 TM
K2 : 1260.56 TM
K1 : 666.09 ETM+
K2 : 1282.71 ETM+
L(λ) : Radiance
T =
1260.56
In (1 + 607.76 /
L(λ))
T =
1282.71
In (1 + 666.09 / L(λ))
: (TM)
: (ETM+)

25. -(Kelvin)

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L(λ) = T- 273.1
L(λ)
T
273.1

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28. (Mask)(Arc Gis)-
(ERDAS IMAGINE 9.3)(img)
(ArcMap)
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IMG
(ERDAS
IMAGINE 9.3)
ArcMap
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(ArcMap)

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30. -(ArcGIS

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ArcGIS

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(Spatial
Data )
(Attribute Data )
(ID)
(LandSat5 – LandSat7)

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(R2)
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(R2)
(R2)
(R2)
(R2)

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Temperature Risk
Qualitative
Risk Assessment
Quantitative Risk Assessment
Watson & lab
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86. .1
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