Abstract:
Digital technology is moving rapidly to distributed computing. It is now possible for parts of a database to be stored and maintained at different locations for users to take advantage of economical or specialized processing at remote sites. On the other hand, over the next ten years, the complexity of geospatial databases will grow significantly through the use of commercial satellites, and ... space-borne and airborne multiple sensors. Integrated management and processing of hybrid data sets, i.e., vector maps and raster images, becomes an emerging issue.
Internet-based geoprocessing of hybrid spatial data in this context means efficient management, transmission and fusion of raster and vector data over the Internet. Due to (a) lack of knowledge to the integrated management of hybrid geospatial datasets; (b) lack of knowledge on the transmission of hybrid data sets through the bandwidth-limited Internet; and (c) very limited knowledge on the processing of hybrid datasets over the Internet, the objective of this research aims at the development of Internet-based geoprocessing approaches to handle hybrid data in an efficient and effective manner under distributed computing environments.
The focuses of the research will be placed on the following tasks:
1. Investigate the spatial data models under distributed computing environments to support hybrid data management and access.
2. Develop methods for the efficient use of bandwidth in transmitting large volumes of hybrid data over the Internet, including vector-based map generalization and raster-based image compression techniques; Develop Internet enabled methods for the fusion of hybrid data sets, including image-to-map matching, map-to-map conflation, and image-to-image fusion.
3. Develop Internet enabled methods for the fusion of hybrid data sets, including image-to-map matching, map-to-map conflation, and image-to-image fusion.
[Summary provided by the Geospatial Information and Communication Technology Lab.]
Service Citation
Originators:
The Geospatial Information and Communication Technology Lab, York University, Toronto, Canada
Title:
GeoEye: Internet-Based Geoprocessing of Hybrid Spatial Data
Provider:
The Geospatial Information and Communication Technology Lab, York University, Toronto, Canada
URL:
http://www.geoict.yorku.ca/project-folders/past-projects/3d-geoeye-...
Name:
VINCENT
TAO
Phone:
(416) 736-5221
Fax:
(416) 736-5817
Email:
tao at yorku.ca
Contact Address:
Department of Earth and Space Sceince & Engineering
York University
4700 Keele Street City:
Toronto
Province or State:
ON
Postal Code:
M3J 1P3
Country:
Canada
Personnel
TYLER
B.
STEVENS Role:
SERF AUTHOR
Phone:
(301) 614-6898
Fax:
301-614-5268
Email:
Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
VINCENT
TAO Role:
TECHNICAL CONTACT
Phone:
(416) 736-5221
Fax:
(416) 736-5817
Email:
tao at yorku.ca
Contact Address:
Department of Earth and Space Sceince & Engineering
York University
4700 Keele Street City:
Toronto
Province or State:
ON
Postal Code:
M3J 1P3
Country:
Canada
Publications/References
Chu, D. A., K. Strabala, S. Platnick, E. Moody, M. King, S. Mattoo, R. Hucek, and B. Ridgway, 2000: MODIS Atmosphere QA Plan. Version 2.2 ,NASA Goddard Space Flight Center, 46 pp.
Chu, D. A., Y. J. Kaufman, L. A. Remer, and B. N. Holben,1998: Remote sensing of smoke from MODIS ... Airborne Simulator during SCAR-B experiment. Journal of Geophysical Research, 103, 31979-31988.
Gao, B.-C., and Y. J. Kaufman, 1995: Selection of the 1.375-m MODIS channelfor remote sensing of cirrus clouds and stratospheric aerosols from space, J. Atm. Sci., 52, 4231-4237.
Kaufman, Y. J., and D. Tanre,1998: Algorithm For Remote Sensing of Tropospheric Aerosol from MODIS,Algorithm Theoretical Basis Document, ATBD-MOD-02, NASA Goddard Space Flight Center,85 pp.
Kaufman, Y. J., and D. Tanre,1997: MODIS Aerosol Product, in MTPE EOS Data Products Handbook,107-108.
Kaufman, Y. J., and R. S. Fraser, 1997: The effect of smoke particles on cloudsand climate forcing. Science, 277, 1636-1639.
Kaufman, Y. J., D. Tanre, L. Remer, E. F.Vermote, A. Chu, & B. N. Holben, 1997: Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS. Journal of Geophysical Research, 102(14), 17051-17068.
King, M., Y. Kaufman, P. Menzel, D.Tanre, B. Gao, 1999: MODIS Atmosphere Validation Plan, NASA Goddard Space Flight Center, 48 pp.
King, M. D., W. P. Menzel, P. S. Grant, J. S. Myers, G. T. Arnold, S. E. Platnick, L. E.Gumley, S. C. Tsay, C. C. Moeller, M. Fitzgerald, K. S. Brown and F. G.Osterwisch, 1996: Airborne scanning spectrometer for remote sensing of cloud, aerosol, water vapor and surface properties. J. Atmos. Oceanic Technol.,13, 777^?794.
Remer, L. A., Y. J. Kaufman, and B. N. Holben, 1996: The size distribution of ambient aerosol particles: Smoke vs. urban/industrial aerosol. Global biomass burning. Cambridge MA: MIT Press.
Tanre, D., Y. J. Kaufman, M. Herman, and S. Mattoo, 1997: Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances. Journal of Geophysical Research, 102, 16971-16988.
Tanre, D., M. Herman, and Y. J. Kaufman, 1996: Information on aerosol size distribution contained in solar reflected radiances. Journal of Geophysical Research-Atmospheres, 101, 19043-19060.
Creation and Review Dates
SERF Creation Date:
2006-04-04
SERF Last Revision Date:
2011-08-11
Links
