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MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2023

Documentation Revision Date: 2024-03-05

Dataset Version: 1

Summary

This dataset includes Level 1B (L1B) and Level 2 (L2) 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 12 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2023-03-31 to 2023-05-02. 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. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. 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.

The MASTER instrument is a modified Daedalus Wildfire scanning spectrometer that flies on a variety of multi-altitude research aircraft and provides spectral information similar to that provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which are aboard two NASA Earth Observing System satellites: Terra and Aqua. The primary goal of this airborne campaign was to demonstrate important science and applications research that is uniquely enabled by the full suite of MASTER thermal infrared bands as well as the contiguous spectroscopic measurements of the AVIRIS (also flown in similar campaigns), or combinations of measurements from both instruments.

This dataset includes a total of 1931 data files: 222 files in Hierarchical Data Format (HDF-4; *.hdf) format, 808 ENVI raster files (*.dat and *.hdr) that are compressed (*.zip), 405 files in Keyhole Markup Language Zipped (KMZ; *.kmz) format, 196 Portable Network Graphics (PNG; *.png) files that are compressed (*.zip), 52 text (*.txt) files, 13 archives of text files that are zipped (*.zip), 13 flight maps as GIF (*.gif) images, and 222 browse images in JPEG (*.jpg) format.

There are multiple versions of the L1B and L2 files available in this dataset.

Figure 1. Single band images and an RGB composite image from flight track 12 acquired on 05 April 2023 over the ocean and coast near Point Arena, California, U.S. Source: MASTERL1B_2364200_10_20230405_1949_1955_V01.jpg

Citation

Hook, S.J., J.S. Myers, K.J. Thome, M. Fitzgerald, A.B. Kahle, Airborne Sensor Facility NASA Ames Research Center, and R.O. Green. 2023. MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2023. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2252

Table of Contents

  1. Dataset Overview
  2. Data Characteristics
  3. Application and Derivation
  4. Quality Assessment
  5. Data Acquisition, Materials, and Methods
  6. Data Access
  7. References
  8. Dataset Revisions

Dataset Overview

This dataset includes Level 1B (L1B) and Level 2 (L2) 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 12 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2023-03-31 to 2023-05-02. 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. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. 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.

The MASTER instrument is a modified Daedalus Wildfire scanning spectrometer that flies on a variety of multi-altitude research aircraft and provides spectral information similar to that provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which are aboard two NASA Earth Observing System satellites: Terra and Aqua. MASTER provides data in 50 channels spanning visible to thermal infrared wavelengths (0.4 – 13 µm). Its data have been used to study geological patterns, land covers, ecological disturbances, and other phenomena that affect Earth surface properties.

Project: MODIS/ASTER Airborne Simulator

The MODIS/ASTER Airborne Simulator (MASTER) is a scanning spectrometer which flies on a variety of multi-altitude research aircraft and provides data similar to the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). MASTER first flew in 1998 and has ongoing deployments as a Facility Instrument in the NASA Airborne Science Program (ASP). MASTER is a joint project involving the Airborne Sensor Facility (ASF) at the Ames Research Center, the Jet Propulsion Laboratory (JPL), and the Earth Resources Observation and Science Center (EROS).

Related Publication

Hook, S.J. Myers, J.J., Thome, K.J., Fitzgerald, M. and A.B. Kahle. 2001. The MODIS/ASTER airborne simulator (MASTER) - a new instrument for earth science studies. Remote Sensing of Environment 76:93–102. https://doi.org/10.1016/S0034-4257(00)00195-4

Related Datasets

Additional MASTER datasets are available on the ORNL DAAC MASTER project page. 

Acknowledgments

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.

Data Characteristics

Spatial Coverage: Portions of California and western Nevada, U.S.

Spatial Resolution: 50 m

Temporal Coverage: 2023-03-31 to 2023-05-02

Temporal Resolution: One-time estimate

Study Area: Latitude and longitude are given in decimal degrees.

Site Northernmost Latitude Southernmost Latitude Easternmost Longitude Westernmost Longitude
California; western Nevada 43.0689 30.4014 -112.5000 -129.56306

Data File Information

This dataset includes a total of 1931 data files: 222 files in Hierarchical Data Format (HDF-4; *.hdf) format, 808 ENVI raster files (*.dat and *.hdr) that are compressed (*.zip), 405 files in Keyhole Markup Language Zipped (KMZ; *.kmz) format, 196 Portable Network Graphics (PNG; *.png) files that are compressed (*.zip), 52 text (*.txt) files, 13 archives of text files that are zipped (*.zip), 13 flight maps as GIF (*.gif) images, and 222 browse images in JPEG (*.jpg) format.

There are multiple versions of the L1B and L2 files included in this dataset, which represent products from different processing algorithms.

There are different numbers of each type of file, which corresponds to the number of "flights" and "flight tracks". A "flight" is flown on a single day, and a "flight track" typically refers to a segment of a given flight. The number of flight tracks varies among flights (Table 2). 

  • There are 12 flights with 111 flight tracks (Table 2).
  • For each of 111 flight tracks, there is at least one L1B data file in HDF format and an auxiliary browse image (*.jpg).
  • L2 data are included for 104 of the 111 flight tracks. For each track, there are five L2 data files in ZIP format for a given version.
    • Four of the ZIP files contain L2 ENVI data for emissivity, land surface temperature, geographic coordinates, and quality assurance status. Each ZIP includes a binary data file (*.dat) and its header file (*.hdr).
    • One ZIP file contains three L2 PNG files: RBG composite, single-band emissivity, and land surface temperature.
  • There are L1B RGB composite images (*RGB.kmz) and L2 land surface temperture (*LST.kmz) in KMZ format for 98 flight tracks.
  • For each flight, there is a collection of auxiliary files providing information about the flight and instrument configuration.

The primary data files are named MASTERL1B_BBBBBBB_CC_YYYYMMDD_EEFF_GGHH_V0J-X.ext (e.g., MASTERL1B_2364200_10_20230405_1949_1955_V01.hdf).

The flight track-level browse images are named MASTERL1B_BBBBBBB_CC_YYYYMMDD_EEFF_GGHH_V0J.jpg (e.g., MASTERL1B_2364200_10_20230405_1949_1955_V01.jpg).

The deployment-level auxiliary files are named MASTER_BBBBBBB_YYYYMMDD_X.ext (e.g., MASTER_2364200_20230405_config.txt).

Elements of file names are described as:

BBBBBBB = the flight number (see Table 2),
CC = flight track,
YYYYMMDD = date of sampling,
EEFF = starting time at EE hour and FF minute,
GGHH = ending time at GG hour and HH minute,
J = version number for file ("1", "2", or "3"),
X = the file content (see Table 1), and ext = "hdf", "kmz", "gif", "jpg", "txt", or "zip", indicating the file extension.

Table 1. File names and descriptions.

File Name Level File Type Total Files Description
Primary Data Files
MASTERL1B_BBBBBBB_CC_YYYYmmDD_EEFF_GGHH_V0J.hdf L1B HDF-4 222 Multispectral radiance in 50 bands, pixel coordinates, sensor configuration, aircraft platform data, analysis parameters. The "CalibratedData" variable provides estimates of radiance in units of W m-2 sr-1 per micron.
MASTERL1B_BBBBBBB_CC_YYYYmmDD_EEFF_GGHHV0J-RGB.kmz L1B KMZ 209 RGB composite browse image (in KMZ format) derived from corresponding bands of RGB wavelengths of L1B data.
MASTERL2_BBBBBBB_CC_YYYYmmDD_EEFF_GGHH_V0J-emissivity_tes.zip L2 ENVI 202 Map of atmospheric corrected emissivity; Temperature and Emissivity Separation (TES) corrected data in 5 bands (wavelengths: 8.58, 9.02, 10.62, 11.32, and 12.13 µm).
MASTERL2_BBBBBBB_CC_YYYYmmDD_EEFF_GGHH_V0J-images.zip L2 PNG 196 Three non-georeferenced images depicting (a) RGB composite using selected bands, (b) emissivity from a single band, and (c) land surface temperature.
MASTERL2_BBBBBBBB_CC_ YYYYmmDD_EEFF_GGHH_V0J-location.zip L2 ENVI 202 Latitude and longitude coordinates for pixels in ENVI files.
MASTERL2_BBBBBBB_CC_YYYYmmDD_EEFF_GGHH_V0J-LST.kmz L2 KMZ 196 Map of land surface temperature in degrees Kelvin.
MASTERL2_BBBBBBB_CC_YYYYmmDD_EEFF_GGHH_V0J-QAmap.zip L2 ENVI 202 QA status for each pixel from TES algorithm, where 1 = divergence and 0 = convergence.
MASTERL2_BBBBBBB_CC_YYYYmmDD_EEFF_GGHH_V0J-surface_temp.zip L2 ENVI 202 Map of land surface temperature (TES LST) in degrees Kelvin.
Auxiliary Files
MASTERL1B_BBBBBBB_CC_YYYYMMDD_EEFF_GGHH_V0J.jpg  L1B JPEG 222 Browse figures; one image per flight track; multiple tracks per flight.
MASTER_BBBBBBB_YYYYMMDD_ancillary.txt - Text 13 Ancillary information about flight including notes on aircraft platform, mission objective, and data evaluation.
MASTER_BBBBBBB_YYYYMMDD_config.txt - Text 13 Instrument configuration information for flight.
MASTER_BBBBBBB_YYYYMMDD_flightpath.gif - GIF 13 Map showing flight paths.
MASTER_BBBBBBB_YYYYMMDD_spectral_band_info.txt - Text 13 Spectral band information for flight.
MASTER_BBBBBBB_YYYYMMDD_spectral_response_table.zip - Text 13 Spectral response tables.
Each Zip archive holds a collection of approximately 50 files detailing spectral responses by band and related information.
MASTER_BBBBBBB_YYYYMMDD_summary.txt - Text 13 Time and coordinates for start and end of flight tracks along with the number of scan lines, solar and instrument angles, and aircraft altitude. FTLT = flight track number.

Data File Details

The HDF-4 files contain swath trajectory data using longitude and latitude coordinates. The spatial resolution is approximately 50 m and is a function of aircraft altitude.

Table 2. Number of flight tracks for each MASTER flight during this 2023 deployment over California (CA) and Nevada (NV).

Date Flight Number Locations (USA) Flight Tracks
Data Level L1B L2
2023-03-31 2364100 Yosemite NEON Box 12 11
2023-04-05 2364200 Northern California 12 11
2023-04-10 2364300 Lake Tahoe Box 12 12
2023-04-11 2364400 Pacific Ocean 2 2
2023-04-12 2364500 San Francisco Bay Area Box 12 12
2023-04-20 2364700 Ivanpah Playa (CA/NV) 10 10
2023-04-21 2364800 Santa Barbara Box 11 10
2023-04-25 2364900 Southeastern California (GEMx CA09) 12 11
2023-04-26 2365000 Southern California Box 10 9
2023-04-27 2365100 Southern California / Pacific Ocean 8 6
2023-04-28 2365200 California / Arizona (GEMx TY03) 6 6
2023-05-02 2365300 Railroad Valley, NV 4 4
Total 111 104

User Note: For Flight Number 2365200, the date encoded in the file names is "20230427" for the V01 files and "20230428" for the V03 files. Thus, there are two sets of ancillary files for this single flight in the dataset. This flight occurred on 2023-04-28.

Application and Derivation

The primary objective of MASTER is to: (a) collect ASTER-like and MODIS-like land datasets to support the validation of the ASTER and MODIS geophysical retrieval algorithms; (b) collect these datasets at a higher resolution than the spaceborne datasets to permit scaling studies and comparisons with in-situ measurements; and (c) under fly the EOS-AM1 ASTER and MODIS sensors to provide an additional radiometric calibration to assist with in-flight instrument performance characterization. Calibration is particularly important for ASTER where on-board calibration is dependent on a single black body in the TIR and only partial aperture illumination in the VNIR.

A secondary objective of MASTER is to: (a) provide both a backup instrument and backup modules for the current MODIS Airborne simulator, which is committed to a program of atmospheric and oceanic measurements; and (b) provide a wider spectral and dynamic range alternative to the use of the Thematic Mapper (TM) airborne simulator and Thermal Infrared Multispectral Scanner (TIMS) airborne scanners (JPL, 2021b).

MASTER imagery has been used for mapping wildfires and their impacts (Veraverbeke et al., 2011), land cover (Li and Moon, 2004), coral reefs (Capolsini et al., 2003), and urban heat islands (Zhao and Wentz, 2016).

Quality Assessment

The MASTER instrument channels are calibrated spectrally and radiometrically in the laboratory preflight and postflight. The mid-infrared and thermal infrared channels (26–50) are also radiometrically calibrated in-flight by viewing an internal hot and cold blackbody with each scanline (Hook et al., 2001). Three calibration and validation experiments were conducted in 1998–2001 (Hook et al., 2001; JPL, 2021a). Spectral response information for this deployment is included in the files named MASTER_BBBBBBB_YYYYMMDD_spectral_response_table.zip.

Data Acquisition, Materials, and Methods

The MASTER instrument was developed by the NASA Ames Research Center in conjunction with the Jet Propulsion Laboratory. The instrument consists of three key components: the scanning spectrometer, the digitizer, and the storage system. The scanning unit was built by Sensys Technology (formerly Daedalus Enterprises) and the digitizer was a collaborative effort between Berkeley Camera Engineering and the Ames Airborne Sensor Facility (ASF, 2021). The data storage system and overall system integration were also provided by the ASF.

The MASTER instrument is similar to the MODIS Airborne Simulator (MAS) developed by the MODIS project (King et al., 1996). However, it has two key differences. First, MASTER supports a variety of scan speeds allowing it to acquire contiguous imagery from a variety of altitudes with different pixel sizes. Second, the channel positions are configured to closely match those of ASTER and MODIS. A detailed description of the instrument and optical system are provided by Hook et al. (2001) and King et al. (1996), respectively.

The Western Diversity Time Series (WDTS, formerly HyspIRI) program will observe California’s ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. It will provide a benchmark on the state of the ecosystems against which future changes can be assessed, as the instruments will be capable of identifying vegetation type and health. The WDTS Airborne Campaign is a multi-year effort to collect seasonal VIS-SWIR and TIR airborne scanner data using both AVIRIS and MASTER remote sensing instruments aboard the ER-2 high-altitude platform (ASF, 2021).

For this campaign, the MASTER instrument was flown on NASA's ER-2 aircraft at altitudes of 19,334–20,560 m above sea level.

Flight tracks in this dataset

Figure 2. Flight tracks over California and Nevada represented as rectangular polygons. Basemap: © OpenStreetMap contributors.

Example flight path

Figure 3. Flight path for Flight 2364100, flown on 31 March 2023. Flight 2364100 and 12 flight tracks occurred over California. Source: MASTER_2364100_20230331_flightpath.gif

Data Access

These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2023

Contact for Data Center Access Information:

References

ASF. 2021. Campaign summary information: HyspIRI / WDTS Airborne Campaign. Airborne Sensor Facility, Airborne Science Program, NASA Ames Research Center, Moffett Field, California. https://asapdata.arc.nasa.gov/sensors/master/data/deploy_html/hyspiri_home.html

Capolsini, P., S. Andréfouët, C. Rion, and C. Payri. 2003. A comparison of Landsat ETM+, SPOT HRV, Ikonos, ASTER, and airborne MASTER data for coral reef habitat mapping in South Pacific islands. Canadian J. Remote Sensing 29:187-200. https://doi.org/10.5589/m02-088

Hook, S.J. Myers, J.J., Thome, K.J., Fitzgerald, M., and A.B. Kahle. 2001. The MODIS/ASTER airborne simulator (MASTER) - a new instrument for earth science studies. Remote Sensing of Environment 76:93-102. https://doi.org/10.1016/S0034-4257(00)00195-4

JPL. 2021a. Calibration and Validation, MASTER: MODIS/ASTER Airborne Simulator. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA. https://masterprojects.jpl.nasa.gov/cal-val

JPL. 2021b. Science objectives, MASTER: MODIS/ASTER Airborne Simulator. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA. https://masterprojects.jpl.nasa.gov/objectives

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. Atmospheric and Oceanic Technology 13:777-794. https://doi.org/10.1175/1520-0426(1996)013<0777:ASSFRS>2.0.CO;2

Li, P., and W.M. Moon. 2004. Land cover classification using MODIS-ASTER airborne simulator (MASTER) data and NDVI: A case study of the Kochang area, Korea. Canadian J. Remote Sensing 30:123-126. https://doi.org/10.5589/m03-061

Veraverbeke, S., S. Harris, and S. Hook. 2011. Evaluating spectral indices for burned area discrimination using MODIS/ASTER (MASTER) airborne simulator data. Remote Sensing of Environment 115:2702-2709. https://doi.org/10.1016/j.rse.2011.06.010

Zhao, Q., and E.A. Wentz. 2016. A MODIS/ASTER Airborne Simulator (MASTER) imagery for urban heat island research. Data 1:7. https://doi.org/10.3390/data1010007

Dataset Revisions

Version Release Date Revision Notes
1.0 update 2024-03-05 New versions (V02 and V03) of files appended to prevous release.  See Section 2: Dataset Characteristics; file naming convensions.
1.0 2023-09-15 Original publication with version V01 files