XML Integration of Data from CloudSat Satellite and GMS-6 Water Vapor Satellite
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
XML Integration of Data from CloudSat Satellite and GMS-6 Water Vapor Satellite

Authors: W. Srisang, K. Jaroensutasinee, M. Jaroensutasinee

Abstract:

This study aimed at developing visualization tools for integrating CloudSat images and Water Vapor Satellite images. KML was used for integrating data from CloudSat Satellite and GMS-6 Water Vapor Satellite. CloudSat 2D images were transformed into 3D polygons in order to achieve 3D images. Before overlaying the images on Google Earth, GMS-6 water vapor satellite images had to be rescaled into linear images. Web service was developed using webMathematica. Shoreline from GMS-6 images was compared with shoreline from LandSat images on Google Earth for evaluation. The results showed that shoreline from GMS-6 images was highly matched with the shoreline in LandSat images from Google Earth. For CloudSat images, the visualizations were compared with GMS-6 images on Google Earth. The results showed that CloudSat and GMS-6 images were highly correlated.

Keywords: CloudSat, Water vapor, Satellite images, GoogleEarthâ„¢.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333384

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1652

References:


[1] Nature. (2007, May 3) Avian Flu. (Online). Available: http://www.nature.com/nature/multimedia/googleearth/index.html.
[2] D. Butler. "Virtual Globes: The web-wide world," Nature, vol. 439, pp. 776-778, 2006.
[3] NIEES. (2007, May 1). Google Earth and other geo browsing tools in the environmental sciences. (Online). Available: http://www.niees.ac.uk/events/GoogleEarth/index.shtml.
[4] D. Leptoukh, D. Ostrenga, Z. Liu, J. Li, and D. Nadeau. "Exploring hurricanes from space: utilizing multi-sensor NASA remote sensing data via Giovanni," presented at AGU Fall Meeting, San Francisco, CA, USA. December 11-15, 2006.
[5] W. Ruairuen and K. Jaroensutasinee, "Flash Flooding Prediction by GOES-9 Satellite Data," The Eighth Annual National Symposium on Computational Science and Engineering Reference Proceeding, Suranaree University of Technology, Nakhon Ratchasima, Thailand, 2004.
[6] http:\\cloudsat.atmos.colostate.edu
[7] S. Wolfram, The Mathematica Book, 5th ed., Wolfram Media, 2003.
[8] C. Choksrichan, R. Ditsathan, S. Chaikasertsin, P. Pongmanawut and T. Tawornmat. "Relationship between cloud observation data at ground, CloudSat and water vapor satellite images". The first Thai Annual GLOBE and CloudSat Student Conference, IPST, Bangkok, Thailand, August, 11, 2007 (in press).