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MASTER: Western Diversity Time Series Campaign, WDTS, California, USA, Spring 2021

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1953
Version1
Projects
Published2022-05-12
Updated2022-05-12
Usage2 downloads

Description

This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during nine flights aboard a NASA ER-2 aircraft over selected areas of California and Nevada, U.S., from 2021-02-09 to 2021-04-02. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Science Keywords

  • SPECTRAL/ENGINEERING
  • INFRARED WAVELENGTHS
  • INFRARED RADIANCE
  • SPECTRAL/ENGINEERING
  • INFRARED WAVELENGTHS
  • THERMAL INFRARED
  • SPECTRAL/ENGINEERING
  • VISIBLE WAVELENGTHS
  • VISIBLE RADIANCE

Data Use and Citation

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Crosscite Citation Formatter
Hook, S.J., and R.O. Green. 2022. MASTER: Western Diversity Time Series Campaign, WDTS, California, USA, Spring 2021. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1953

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Tool has 1 companion files.

  • MASTER_WDTS_Spring_2021.pdf