i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...

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a b c b Figure 3.9: Smoke images on 04/29/07 (a) Smoke image at 1 km resolution resolution; (b) MODIS true color image at 1 km resolution resolution; (c) MODIS AOD image at 10 km resolution resolution. 39
a b c b Figure 3.10: Smoke images on day 05/20/07 (a) Smoke image at 1km resolution (b) MODIS true color image at 1 km resolution; (c) AOD image at 10 km resolution. 40
Page 1 and 2: Detection of Smoke and Dust Aerosol
Page 3 and 4: DEDICATION This is dedicated to my
Page 5 and 6: TABLE OF CONTENTS Page LIST OF TABL
Page 7 and 8: LIST OF TABLES Table Page Table 1.1
Page 9 and 10: Figure 6.2 The UVAI images and the
Page 11 and 12: VFM Vertical Feature Mask VIS Visib
Page 13 and 14: are validated not only visually wit
Page 15 and 16: 1.1 Importance of Studying Smoke an
Page 17 and 18: 1.3 Objectives and Scopes The main
Page 19 and 20: originalities, and discussions of f
Page 21 and 22: 1.6 Principal Results The principle
Page 23 and 24: CHAPTER 2 REVIEW OF APPROACHES FOR
Page 25 and 26: cooperatively: the reflectance at 0
Page 27 and 28: more information about dust charact
Page 29 and 30: CHAPTER 3 SMOKE AEROSOL DETECTION W
Page 31 and 32: with a two-side scan mirror which r
Page 33 and 34: 3.1.2 MODIS data The 55 0 scan angl
Page 35 and 36: Sun Satellite Figure 3.2: Basic rad
Page 37 and 38: 1 0 /2 b ( 0 0, 0; , ) k1 e
Page 39 and 40: 3.2.3 Training data collection Surf
Page 41 and 42: Reflectance Reflectance Response cu
Page 43 and 44: Figure 3.6: The normalized ratio of
Page 45 and 46: all pixels over both land and ocean
Page 47 and 48: NDDI 1 0.8 0.6 0.4 0.2 0 -0.2 Figur
Page 49 and 50: MODIS L1B measurements Pixels over
Page 51: is clear that most of smoke plumes
Page 55: 3.4.2 California 2007 fire The 2007
Page 58 and 59: The multi-spectral approach is test
Page 60 and 61: 4.1 Physical Principle of Dust Aero
Page 62 and 63: Aqua 2006 102-04/12 04:15 Terra 200
Page 64 and 65: The dust has a high reflectivity at
Page 66 and 67: 0.55 0.5 0.45 0.4 0.35 0.3 0.25 0.2
Page 68 and 69: 7 a Dust pixel 0.5 b 6 Cloud pixel
Page 70 and 71: 4.3 Results Three dust events occur
Page 72 and 73: c c Figure 4.6: Dust storm over TAK
Page 74: 4.4 Chapter Summary In this chapter
Page 77 and 78: operated in the A-train orbit with
Page 79 and 80: 5.1.2 CALIPSO measurements and VFM
Page 81 and 82: Altitude (km) 20 15 10 5 UTC: 2006-
Page 83 and 84: After spatial registration, the ove
Page 85 and 86: Figure 5.4(a) The MODIS true color
Page 87 and 88: Altitude (km) BTD (K) 20 15 10 15 4
Page 89 and 90: in the same A-train orbit with simi
Page 91 and 92: Aqua spacecrafts are operated in th
Page 93 and 94: the Fig. 6.1a. For easy comparison,
Page 95 and 96: esolutions, the number of smoke pix
Page 97 and 98: 6.1.4 Validation of dust monitoring
Page 99 and 100: Figure 6.3 Validation of dust image
Page 101 and 102: eflectance in red band. Therefore,
Page 103 and 104:
Altitude (km) 20 15 10 5 UTC: 2006-
Page 105 and 106:
image at the same location. The rea
Page 107 and 108:
accuracy could be increased further
Page 109 and 110:
FPAs and cold FPAs (because of diff
Page 111 and 112:
development of future remote sensin
Page 113 and 114:
Figure 7.3: SRCA spatial mode retic
Page 115 and 116:
7.1.3.2 Date Source MODIS L1B data
Page 117 and 118:
characterization. Only the measurem
Page 119 and 120:
these bands, including reflective s
Page 121 and 122:
different spectral bands are slight
Page 123 and 124:
SZA (Degree) SZA (Degree) 65 60 55
Page 125 and 126:
7.2.1.2 Real Impact on L1B Measurem
Page 127 and 128:
7.2.2.1 Theoretical impact analysis
Page 129 and 130:
spatial characterization, the bigge
Page 131 and 132:
Difference NDDI with spatial correc
Page 133 and 134:
8.1 Conclusions CHAPTER 8 CONCLUSIO
Page 135 and 136:
Based on the detection results, the
Page 137 and 138:
3) Validating aerosol detection qua
Page 139 and 140:
REFERENCES Ackerman, S. A., 1989, U
Page 141 and 142:
imagery, Atmospheric Environment, v
Page 143 and 144:
Salomonson, V. V., Privette, J. L.,
Page 145 and 146:
Martinez, A., and Gros, G., 2007-10
Page 147 and 148:
Wang W., Qu, J. J., Liu, Y., Hao, X
Page 149:
CURRICULUM VITAE Yong Xie is a Ph.D
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