XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/3: Atmosphere, Climate and Weather]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GROUND-BASED CLOUD OBSERVATION FOR SATELLITE-BASED CLOUD DISCRIMINATION AND ITS VALIDATION M. Yamashita, M. Yoshimura

Document type:: Multivolume work

Structure type:: Chapter

(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. Internationa COAS KEY WORD ABSTRACT Use of high institutions. I reconstructioi The magnituc analytically. curve. Safety hazards, and monitoring Oo movements C altimetry dat: KML and so Itime As radai surface and measuremen used for a wi Many curren altimetry dat applications water region the oceans. There is a sh inferior qual The techniq and off a co basically or segments. Other altime problem, su about 50 kr needs to be Since the x existence, v data in solv: and derive various area An alterna through th aperture ra 1 Correspo

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