Stock, J. M. (2022) MASTER: Airborne Science, Baja Mexico-Nevada, April-May, 1999. [Dataset] https://resolver.caltech.edu/CaltechAUTHORS:20221109-728754700.2
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Abstract
This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during 7 flights aboard a DOE B-200 aircraft over Baja California, Mexico, and Nevada, U.S., on 1999-04-23 to 1999-05-05. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 20-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
Item Type: | Dataset | ||||||
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Additional Information: | The MASTER instrument is maintained and operated by the Airborne Sensor Facility (ASF) at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. Data processing was conducted at NASA Ames Research Center and the Jet Propulsion Laboratory at the California Institute of Technology in Pasadena, California. | ||||||
Group: | Division of Geological and Planetary Sciences, Seismological Laboratory | ||||||
DOI: | 10.3334/ORNLDAAC/2102 | ||||||
Record Number: | CaltechAUTHORS:20221109-728754700.2 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20221109-728754700.2 | ||||||
Official Citation: | Stock, J.M. 2022. MASTER: Airborne Science, Baja Mexico-Nevada, April-May, 1999. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2102 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 117799 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Tony Diaz | ||||||
Deposited On: | 10 Nov 2022 17:56 | ||||||
Last Modified: | 10 Nov 2022 17:56 |
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