Multi-view photogrammetric analysis from satellite (focus on clouds)
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1 Multi-view photogrammetric analysis from satellite (focus on clouds) Dr. Gabriela Seiz Federal Office of Meteorology and Climatology MeteoSwiss
2 Acknowledgements EU-FP4 Project CLOUDMAP ( ) Partners: UCL (UK), FUB (D), DLR (D), KNMI (NL) EU-FP5 Project CLOUDMAP2 ( ) Partners: UCL, FUB, DLR, RAL (UK), KNMI, SMHI (S), MeteoSwiss EUMETSAT Cloud-top height comparison study ( ) Partners: FUB, RAL & Visiting Scientist, Eumetsat JPL, MISR Science Team, Visiting Scientist (2004) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 2
3 Outline Introduction Polar-orbiting multi-view satellites Photogrammetric processing Case study MISR-ASTER-Meteosat6 Geostationary satellites 3D cloud reconstruction with MISR and ASTER Conclusions Further examples of multi-view analysis with MISR ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 3
4 Introduction Geoglyphs of Nasca and Palpa Mount Everest Buddha statues Bamiyan (Prof. A. Gruen) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 4
5 Polar-orbiting multi-view systems ATSR2, AATSR ERS-2, Envisat Data product GBT, ATS_TOA_1P L1B2 L1B ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 5
6 Data acquisition Polar-orbiting multi-view systems ASTER ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 6
7 Polar-orbiting multi-view systems Spatial resolution MISR An (275 m) ASTER 3N (15 m) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 7
8 Stereo CTH retrieval (polar-orbiting) y P x P x P = 0 (cross-track wind component) y P = (height, zenith angles, along-track wind component) (Lorenz, 1985) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 8
9 Stereo CTH retrieval (polar-orbiting) xdis 12 = u(t 2 -t 1 ) ydis 12 = H(tan 1 -tan 2 ) + v(t 2 -t 1 ) xdis 13 = u(t 3 -t 1 ) H, u, v ydis 13 = H(tan 1 -tan 3 ) + v(t 3 -t 1 ) (Horváth and Davies, 2001) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 9
10 Processing Preprocessing Feature selection Matching Multi-view LSM Matching Quality control CTH/ CTW calculation (Seiz, 2003) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 10
11 Stereo CTH retrieval (polar-orbiting) Matching of 2 views Matching of 3 views Preliminary CTH CTW extracted from geostationary satellite data (Meteosat Rapid Scans, MSG) CTW extracted from MISR triplet CTW correction Final CTH MISR An-Bf: ± 300 m (CTW: ± 2-3 m/s) Final CTH/CTW MISR Bf-An-Df: ± 600 m (CTW: ± 6 m/s) (Seiz, 2003) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 11
12 Cloud-top wind (CTW) correction ATSR2 03 Aug 2000 / 10 E [m] ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 12
13 Case study: ASTER - MISR - Meteosat-6 Zürich-Kloten 12 Apr 2002, Path 194 ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 13
14 Validation: MISR vs. ASTER CTH MISR L1B2 CTH, An-Aa MISR ASTER L2TC CTH, An-Af/An-Aa 3N-3B MISR L1B2, ASTER L1B data Hierarchical LSM matching (Seiz et al., IJRS, 2006) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 14
15 Validation: MISR vs. ASTER CTH [m] ASTER CTH, 3N-3B MISR L1B2 CTH, An-Aa MISR L2TC CTH, An-Aa ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 15
16 Validation: MISR vs. ASTER CTH [m] ASTER CTH, 3N-3B MISR L1B2 CTH, An-Aa MISR L2TC CTH, An-Aa ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 16
17 Stereo configurations ASTER Meteosat-6/ Meteosat-5/ Meteosat-5/ Meteosat-8/-9 ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 17
18 Geostationary stereo: Meteosat satellites Meteosat-7 (0 ) Meteosat-5 (63 E) Wylie et al. (1998), Campbell and Holmlund (2004) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 18
19 Geostationary stereo: Meteosat satellites Meteosat-8 HRV (3.4 W, rectified to 0 ) Meteosat-5 (63 E) HRV_1 HRV_2 ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 19
20 Geostationary stereo: Meteosat satellites Meteosat-8 HRV (3.4 W, rectified to 0 ) Meteosat-5 (63 E) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 20
21 Geostationary stereo: Acquisition time Meteosat-5 vs. Meteosat-7 (MFG) Meteosat-5 vs. Meteosat-8 HRV (MSG) [s] [s] ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 21
22 Geostationary stereo: Multi-view CTH retrieval (5 June 2004, 08:00) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 22
23 Geostationary stereo: Absolute geolocation Sensor dx dy Meteosat-5, 08:00 UTC Meteosat-7, 08:00 UTC Meteosat-8, 08:00 UTC Meteosat-8, 08:15 UTC [MISR SOM pixels = 1.1 km] MISR An Meteosat MISR Path 170 (22.6 N 37.6 E) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 23
24 Geostationary stereo: Multi-view CTH retrieval M5/M7 M5/M7 M5/M8 HRV HRV CTH CTH [m] [m] dist dist [m] [m] CTH CTH [m] [m] dist [m] Cloud Cloud Cloud before after correction MISR L1B2 An-Aa CTH, wind_corr [m] MISR L2TC CTH, best_winds [m] MODIS MOD06 CTH, converted [m] Cloud Cloud Cloud (Seiz and Tjemkes, JAMC, 2007) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 24
25 Stereo configurations ASTER Meteosat-6/ Meteosat-5/ Meteosat-5/ Meteosat-8/ ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 25
26 3D cloud reconstruction from MISR Isolated convective cloud over ocean (2 Sep 2003, Path 78, 22:15:07 UTC) LSM matching along line 8 camera combinations, An-Af, Af-Bf, Bf-Cf, Cf-Df An-Aa, Aa-Ba, Ba-Ca, Ca-Da ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 26
27 3D cloud reconstruction from MISR Ca-Da ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 27
28 3D cloud reconstruction from MISR Ba-Ca ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 28
29 3D cloud reconstruction from MISR Aa-Ba ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 29
30 3D cloud reconstruction from MISR An-Aa ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 30
31 3D cloud reconstruction from MISR An-Af ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 31
32 3D cloud reconstruction from MISR Af-Bf ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 32
33 3D cloud reconstruction from MISR Bf-Cf ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 33
34 3D cloud reconstruction from MISR Cf-Df ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 34
35 3D cloud reconstruction from MISR ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 35
36 3D cloud reconstruction from MISR, except Ca-Da (Seiz and Davies, 2006) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 36
37 3D cloud reconstruction from MISR 2 Sep 2003, Path 78, 22:15:07 UTC Mask An ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 37
38 Conclusions Potential of stereo-photogrammetric methods on clouds Importance of accurate absolute and relative geolocation Application as independent comparison/validation data Potential of geostationary multi-view analysis ( MSG-3, MTG) Retrieval of high-resolution 3D cloud geometry Advantage of oblique viewing angles of MISR ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 38
39 Further examples of multi-view analysis Aerosols Smoke plumes (volcanoes, forest fires, etc.) Cryosphere (snow, ice) Vegetation MISR (Courtesy: JPL) Diner, D., Braswell, B., Davies, R., Gobron, N., Hu, J., Jin, Y., Kahn, R., Knyazikhin, Y., Loeb, N., Muller, J.-P., Nolin, A., Pinty, B., Schaaf, C., Seiz, G., Stroeve, J. (2005). The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces. Remote Sensing of the Environment, 97 (4), pp ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 39
40 Thank you for your attention! Dr. Gabriela Seiz Federal Office of Meteorology and Climatology MeteoSwiss
41
42 Polar-orbiting multi-view systems Operational stereo cloud-top height product of MISR ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 42
43 Case study: 28 June 2000 (Stratocumulus) 2 ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 43
44 Case study: 13 June 2001 (Altocumulus) 2 ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 44
45 Differences between spectral channels VIS IR ATSR2, 13/10/ :16 (Seiz, 2003) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 45
46 3D cloud field data from EO and GBS CTH field from MISR CBH field from stereo camera system Combined MISR + camera cloud boundaries with 3D LWC distribution (DLR) Assimilation into very highresolution NWP model (50 m x 50 m x 50 m almo at MeteoSwiss) ESA Summer School 2010, GS2, 4 August 2010 Gabriela Seiz 46
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