doi:10.1038/npre.2007.595.2
1 vote

Visualization of and Access to CloudSat Vertical Data through Google Earth

Aijun Chen1, Gregory Leptoukh2, Liping Di1, Denis Nadeau3, John Farley4, Christopher Lynnes2 & Steven Kempler2

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  1. Center for Spatial Information Science and Systems, George Mason University
  2. NASA Goddard Space Flight Center code 610.2
  3. RSIS Inc./NASA Goddard Space Flight Center code 610.2
  4. ADNET Inc./NASA Goddard Space Flight Center code 610.2
Document Type:
Manuscript
Date:
Received 13 September 2007 16:37 UTC; Posted 17 September 2007
Subjects:
Earth & Environment
Tags:
Abstract:

Online tools, pioneered by the Google Earth (GE), are facilitating the way in which scientists and general public interact with geospatial data in real three dimensions. However, even in Google Earth, there is no method for depicting vertical geospatial data derived from remote sensing satellites as an orbit curtain seen from above. Here, an effective solution is proposed to automatically render the vertical atmospheric data on Google Earth. The data are first processed through the Giovanni system, then, processed to be 15-second vertical data images. A generalized COLLADA model is devised based on the 15-second vertical data profile. Using the designed COLLADA models and satellite orbit coordinates, a satellite orbit model is designed and implemented in KML format to render the vertical atmospheric data in spatial and temporal ranges vividly. The whole orbit model consists of repeated model slices. The model slices, each representing 15 seconds of vertical data, are placed on the CloudSat orbit based on the size, scale, and angle with the longitude line that are precisely and separately calculated on the fly for each slice according to the CloudSat orbit coordinates. The resulting vertical scientific data can be viewed transparently or opaquely on Google Earth. Not only is the research bridged the science and data with scientists and the general public in the most popular way, but simultaneous visualization and efficient exploration of the relationships among quantitative geospatial data, e.g. comparing the vertical data profiles with MODIS and AIRS precipitation data, becomes possible.

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License:
This document is licensed to the public under the Creative Commons Attribution 2.5 License
How to cite this document:

Chen, Aijun, Leptoukh, Gregory , Di, Liping, Nadeau, Denis , Farley, John, Lynnes, Christopher, and Kempler, Steven. Visualization of and Access to CloudSat Vertical Data through Google Earth. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2007.595.2> (2007)

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Other versions of this document in Nature Precedings

Version number Document title Date
v1 Posted 03 August 2007

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