Documentation Revision Date: 2024-06-20
Dataset Version: 2
Summary
Additional CRID files will be added to this dataset for SISTER Project collections archived at the ORNL DAAC.
This dataset includes five files: two files in JavaScript Object Notation (.json) format, two image files in Portable Network Graphics (.png) format and one file in text (.txt) format.
Citation
Townsend, P., M.M. Gierach, P.G. Brodrick, A.M. Chlus, H. Hua, O. Kwoun, M.J. Lucas, N. Malarout, D.F. Moroni, S. Neely, W. Olson-Duvall, J.K. Pon, S. Shah, and D. Yu. 2023. SISTER: Composite Release ID (CRID) Product Generation Files. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2231
Table of Contents
- Dataset Overview
- Data Characteristics
- Application and Derivation
- Quality Assessment
- Data Acquisition, Materials, and Methods
- Data Access
- References
- Dataset Revisions
Dataset Overview
This dataset contains Composite Release ID (CRID) Product Generation and ancillary files that document the workflow components, versions, and links to source code for each version of data products generated by the Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity. SISTER supports the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission. The objective of SISTER is to mature many of the workflows, algorithms, and data products envisioned for SBG, lay the groundwork to develop a robust cal/val network, and build a vigorous and expansive user community ahead of launch. This dataset contains JSON files that document the software employed in product generation steps. A schematic diagram illustrating the workflow is also included for each CRID.
Additional CRID files will be added to this dataset for SISTER Project collections archived at the ORNL DAAC.
Project: SISTER
The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) is a NASA project aimed at prototyping workflows and generating Surface Biology and Geology (SBG)-like data products through efforts to build and sustain a community to increase prospects for major scientific discovery post launch of the SBG mission. SISTER utilizes existing airborne and spaceborne sources to generate prototype data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, hydrology, and geology.
These data are associated with experimental products run by the SISTER Science Team as pre-launch modeling tools and data for algorithm development are investigated.
Related Datasets:
See SISTER datasets associated with these Composite Release ID (CRID) versions.
For example, products associated with SISTER_CRID_001.json can be found by filtering by "V001*".
Data Characteristics
These workflow files are associated with data products having the following spatiotemporal characteristics.
Spatial Coverage: Selected scenes/flight lines across the globe
Spatial Resolution: 30 m
Temporal Resolution: One time estimates
Temporal Coverage: 2011-05-13 to 2023-03-25
Site Boundaries: Latitude and longitude are given in decimal degrees.
Site | Westernmost Longitude | Easternmost Longitude | Northernmost Latitude | Southernmost Latitude |
---|---|---|---|---|
Selected sites across globe | -158.056 | 152.302 | 69.324 | -38.860 |
Data File Information
This dataset includes five files: two files in JavaScript Object Notation (.json) format, two image files in Portable Network Graphics (.png) format and one file in text (.txt) format.
The SISTER_CRID_00<#>.json files provide information pertaining to the software used in workflow processes (Table 1). The files list the CRID number, name of software version, version number, and a URL to GitHub site that provide additional details.
The SISTER_CRID_00<#>_workflow.png files are images that illustrate the sequence and interconnected steps of the respective workflows.
The file names include version number (e.g., "001", "002") which link these CRID files to the products listed on the SISTER Project page.
The SISTER_log.txt file provides ancillary information which lists and explains file/scene addition or removal between version releases.
Table 1. Key SISTER workflow components, versions, and links to source code used for V001 production found in the SISTER_CRID_001.json file.
software | version | url |
---|---|---|
maap-api-nasa | 2.0 | https://gitlab.com/geospec/maap-api-nasa/-/tags/2.0 |
sister-preprocess | 2.0.0 | https://github.com/EnSpec/sister-preprocess/releases/tag/2.0.0 |
sister-isofit | 2.0.0 | https://gitlab.com/geospec/sister-isofit/-/releases/2.0.0 |
sister-resample | 2.0.1 | https://github.com/EnSpec/sister-resample/releases/tag/2.0.1 |
sister-reflect_correct | 2.0.0 | https://github.com/EnSpec/sister-reflect_correct/releases/tag/2.0.0 |
sister-fractional-cover | 1.0.0 | https://gitlab.com/geospec/sister-fractional-cover/-/releases/1.0.0 |
sister-algorithm_router | 1.0.0 | https://github.com/EnSpec/sister-algorithm_router/releases/tag/1.0.0 |
sister-trait_estimate | 1.0.0 | https://github.com/EnSpec/sister-trait_estimate/releases/tag/1.0.0 |
sister-grainsize | 1.0.0 | https://github.com/EnSpec/sister-grainsize/releases/tag/1.0.0 |
Application and Derivation
These files are useful for exploring the details of production techniques employed by the SISTER team.
Quality Assessment
Not applicable.
Data Acquisition, Materials, and Methods
The SISTER team documents their workflow processes employed at each step of this research project. Each version of products has an associated CRID document that lists the software packages used. URLs within the CRID JSON files lead to GitHub sites with additional details. The overall workflow process is illustrated in the associated PNG images (Figures. 1-2).
Figure 2. Workflow diagram of the SISTER CRID 002 production run (Click on image to view full-resolution version). Source: SISTER_CRID_002_workflow.png
The general workflow involved spatially resampling remotely sensed imagery to 30-meter resolution and processed to surface reflectance using an optimal estimation atmospheric correction algorithm, ISOFIT (Thompson et al., 2018) with an open-source neural-network-based emulator for modeling radiative transfer (Brodrick et al., 2021). Next, spectral resampling to a 10-nm sampling interval was performed in a two-step calculation. Bands were first aggregated and averaged to the closest resolution to the target interval then a piecewise cubic interpolator was used to interpolate the spectra to the target wavelength spacing.
Table 2. Summary of SISTER Sensors, Products, and Coding for outputs available as separate datasets.
Sensor | Product | Sensor_Level_Product |
AVIRIS Classic | Resampled Surface Reflectance and Uncertainty | AVCL_L2A_RSRFL |
Corrected Surface Reflectance | AVCL_L2A_CORFL | |
Fractional Cover | AVCL_L2B_FRCOV | |
Vegetative Biochemical Traits | AVCL_L2B_VEGBIOCHEM | |
Snow Grain Size | AVCL_L2B_SNOWGRAIN | |
Benthic Reflectance and Depth | AVCL_L2B_BENTHRFL | |
Benthic Cover | AVCL_L2B_BENTHCOV | |
AVIRIS Next Gen | Resampled Surface Reflectance and Uncertainty | AVNG_L2A_RSRFL |
Corrected Surface Reflectance | AVNG_L2A_CORFL | |
Fractional Cover | AVNG_L2B_FRCOV | |
Vegetative Biochemical Traits | AVNG_L2B_VEGBIOCHEM | |
Snow Grain Size | AVNG_L2B_SNOWGRAIN | |
Benthic Reflectance and Depth | AVNG_L2B_BENTHRFL | |
Benthic Cover | AVNG_L2B_BENTHCOV | |
DESIS | Resampled Surface Reflectance and Uncertainty | DESIS_L2A_RSRFL |
Corrected Surface Reflectance | DESIS_L2A_CORFL | |
Fractional Cover | DESIS_L2B_FRCOV | |
Vegetative Biochemical Traits | DESIS_L2B_VEGBIOCHEM | |
Benthic Reflectance and Depth | DESIS_L2B_BENTHRFL | |
Benthic Cover | DESIS_L2B_BENTHCOV | |
PRISMA | Resampled Surface Reflectance and Uncertainty | PRISMA_L2A_RSRFL |
Corrected Surface Reflectance | PRISMA_L2A_CORFL | |
Fractional Cover | PRISMA_L2B_FRCOV | |
Vegetative Biochemical Traits | PRISMA_L2B_VEGBIOCHEM | |
Snow Grain Size | PRISMA_L2B_SNOWGRAIN | |
Benthic Reflectance and Depth | PRISMA_L2B_BENTHRFL | |
Benthic Cover | PRISMA_L2B_BENTHCOV | |
EMIT | Resampled Surface Reflectance and Uncertainty | EMIT_L2A_RSRFL |
Corrected Surface Reflectance | EMIT_L2A_CORFL | |
Fractional Cover | EMIT_L2B_FRCOV | |
Vegetative Biochemical Traits | EMIT_L2B_VEGBIOCHEM | |
Snow Grain Size | EMIT_L2B_SNOWGRAIN | |
Benthic Reflectance and Depth | EMIT_L2B_BENTHRFL | |
Benthic Cover | EMIT_L2B_BENTHCOV |
Table 3. SISTER Project Instruments.
Instrument | Instrument fullname |
---|---|
AVCL | AVIRIS Classic |
AVNG | AVIRIS Next Generation |
DESIS | DLR Earth Sensing Imaging Spectrometer |
PRISMA | PRecursore IperSpettrale della Missione Applicativa |
EMIT | Earth Surface Mineral Dust Source Investigation |
Data Access
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
SISTER: Composite Release ID (CRID) Product Generation Files
Contact for Data Center Access Information:
- E-mail: uso@daac.ornl.gov
- Telephone: +1 (865) 241-3952
References
Brodrick, P.G., D.R. Thompson, J.E. Fahlen, M.L. Eastwood, C.M. Sarture, S.R. Lundeen, W. Olson-Duvall, N. Carmon, and R.O. Green. 2021. Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals, Remote Sensing of Environment 261:112476. https://doi.org/10.1016/j.rse.2021.112476
Thompson, D.R., V. Natraj, R.O. Green, M.C. Helmlinger, B.C. Gao, and M.L. Eastwood. 2018. Optimal estimation for imaging spectrometer atmospheric correction. Remote Sensing of Environment 216:355-373. https://doi.org/10.1016/j.rse.2018.07.003
Dataset Revisions
Release Date |
Product Version |
Description |
2023-05-31 |
V002 |
Published Composite Release ID (CRID) of workflow run V002 and V001. V002 is superseded by V004. |
unpublished |
V001 |
Version 001 was generated by the SISTER Science Team but not intended for archive delivery. The ORNL DAAC is maintaining consistent workflow versioning as generated by the SISTER Science Team. |