Full text: Technical Commission VIII (B8)

(a) Aug. 26^ 2005 at 12:54 
  
(b) Aug. 26? 2005 at 12:56 
Figure 4. Overlaying clouds area discriminated from whole sky 
image to MODIS image. 
Comparing with two figures of two minutes difference, there is 
no big movement on the image. Measured approximate distance 
of movement for two minutes on two figures is about 500m 
(velocity: 4-5m/s). As one of others applications of the 
overlaying clouds area to satellite image, there is clouds motion 
analysis by calculating the moving distance for two minutes in 
this case. For more high accuracy of horizontal clouds 
distribution, cloud height data with high accuracy is needed. As 
for the measurement of cloud height with high accuracy, Seiz et 
al. (2002) have developed the method to estimate cloud bottom 
height by digital photogrammetric technique using two more 
cameras. 
Furthermore, there is another application for cloud fraction 
analysis of different cloud fraction definitions. Satellite-based 
observation derives cloud fraction which means the horizontal 
area fraction covered by clouds as viewed from nadir, it 
corresponds clouds horizontal distribution on satellite image. 
On the other hand, ground-based cloud observation using whole 
sky camera derives the cloud fraction as hemispherical sky 
covered by clouds. It is the definition of ground meteorological 
studies, so-called cloud amount. As for the calculation of both 
defined cloud fractions, Kassianov et al. (2005) have 
demonstrated using hemispherical ground-based observation. 
Also, there is the possibility of this study on the assumption that 
this ground-based clouds observation method is applied across a 
wide area. For the validation of satellite-based clouds and earth 
surface observation, it seems that this observation system is 
suitable to set up at many sites, and also useful to collaborate 
with the existing ground-based observation networks such Asia 
Flux, AERONET and SKYNET etc. The proposed observation 
method and its applications should be connected to satellite 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
products with high quality by implementation of sky and clouds 
observation covering a wide area. 
5. CONCLUSION 
We proposed the simple ground-based observation method to 
discriminate clouds on whole sky image and one of extensions 
to the satellite-based observation by overlaying both ground and 
satellite-based images. 
Through this study, we confirmed that our developed ground- 
based cloud observation method is useful to discriminate cloud 
existence and area of cloud coverage, and to overlay with 
satellite-based cloud image. Also, this ground-based cloud 
observation can be expanded into wide area and set many 
observation points for application to various satellite images 
including geostationary satellites with very high temporal 
resolution. 
References 
Calbo J. and Sabburg J., 2008. Feature Extraction from Whole- 
Sky Ground-Based Images for Cloud-Type Recognition. 
Journal of Atomospheric and Oceanic Technology, 25, pp.3-14. 
Clement C. A., Burgman R. and Norris R. J. 2009. 
Observational and Model Evidence for Positive Low-Level 
Cloud Feedback, SCIENCE, 325, pp.460-464. 
Freedman J. M., Fitzjarrld D. R, Moore K. E., and Sakai R. K., 
2001. Boundary Layer Clouds and vegetation - Atmosphere 
Feedbaks. Journal of Climate, 14, pp.180-197. 
Heinle A., Macke A. and Srivastav A., 2010. Automatic cloud 
classification of whole sky images. Atmospheric Measurement 
Techniques Discussions, 3, pp.269-299. 
Kassianov E., Long N. C. and Ovtchinnikov M. (2005): Cloud 
Sky Cover versus Cloud Fraction: Whole-Sky Simulation and 
Observations. Journal of Applied Meteorology, 44, pp.86-98. 
Seiz G., Baltsavias E.P., and Gruen A. (2002): Cloud Mapping 
from the Ground: Use of Photgrammetric Methods. 
Photogrammetric Engineering & Remote Sensing, 68(9), 
pp.941-951. 
Tsuchida S., Nishida K., Iwao K., Kawato A., Oguma H. and 
Iwasaki A., 2005. Phenological Eyes Network for Validation of 
Remote Sensing Data (abstract only). Journal of The Remote 
Sensing Society of Japan, 25 (3), pp.282-288. 
Yamashita M. and Yoshimura M., 2008. Development of Sky 
Conditions Observation Method using Whole Sky Camera 
(abstract only). Journal of the Japan Society of Photogrammetry 
and Remote Sensing, 47(2), pp.50-59. 
   
   
    
  
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