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Building large scale mosiacs from Landsat data

Authors:

Lucian Plesea,

Joseph JacobAuthors Info & Claims

GIS '00: Proceedings of the 8th ACM international symposium on Advances in geographic information systems

Pages 180 - 182

https://doi.org/10.1145/355274.355301

Published: 01 November 2000 Publication History

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Abstract

This paper describes the process and tools used for creating a full resolution seamless Landsat mosaic of the continental U.S. at 30 meters per pixel. The 6-band, 150GB image was built from 428 individual Landsat scenes of the Multi-Resolution Land Characteristics (MRLC) dataset. Custom designed software based on SGI ImageVision framework was developed on JPL supercomputers to accomplish this task as a single step operation, with minimal operator input. Novel techniques were used to deal with data storage and access issues. Various color matching algorithms can be used to generate a parameter set, which in turn controls all the details of building the mosaic. Some of the tested algorithms and their results will also be discussed.

References

[1]

{1} Landsat 7 Documents, http://landsat7.usgs.gov/resource.html.

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[2]

{2} MRLC Homepage, http://www.epa.gov/docs/grd/mrlc.

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[3]

{3} Richardus, P. and Adler, R., Map Projections, ISBN 0444 103627, p. 137.

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[4]

{4} Schowengerdt, R. A., Remote Sensing, Models and Methods for Image Processing, Second Edition, ISBN 0-12-628981-6.

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[5]

{5} SGI Image Vision Library, http://www.sgi.com/software/imagevision.

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{6} Sokolnikoff, I.S. and Redheffer, R.M., Mathematics of Physics and Modern Engineering, ISBN 07-059625.

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Katz DBergou ABerriman GBlock GCollier JCurkendall DGood JHusman LJacob JLaity ALi PMiller CPrince TSiegel HWilliams R(2004)Accessing and visualizing scientific spatiotemporal dataProceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.10.1109/SSDM.2004.1311198(107-110)Online publication date: 2004
https://doi.org/10.1109/SSDM.2004.1311198

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Building large scale mosiacs from Landsat data

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GIS '00: Proceedings of the 8th ACM international symposium on Advances in geographic information systems

November 2000

200 pages

ISBN:1581133197

DOI:10.1145/355274

Chairmen:
Ki-Joune Li
Pusan National Univ., Pusan, Korea
,
Kia Makki
Univ. of Southwestern Louisiana, Lafayette
,
Niki Pissinou
Univ. of Southwestern Louisiana, Lafayette
,
Siva Ravada
Oracle Corp.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 November 2000

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CIKM00: Ninth International Conference on Information and Knowledge Management

November 6 - 11, 2000

D.C., Washington, USA

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Overall Acceptance Rate 220 of 1,116 submissions, 20%

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Katz DBergou ABerriman GBlock GCollier JCurkendall DGood JHusman LJacob JLaity ALi PMiller CPrince TSiegel HWilliams R(2004)Accessing and visualizing scientific spatiotemporal dataProceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.10.1109/SSDM.2004.1311198(107-110)Online publication date: 2004
https://doi.org/10.1109/SSDM.2004.1311198

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Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach

An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery

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Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach

An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery

Quality assessment of Landsat surface reflectance products using MODIS data

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