The ORNL DAAC recently released a new SBG High Frequency Time Series (SHIFT) dataset from Brodrick, P. et al. (2023):SHIFT: AVIRIS-NG L2A Unrectified ReflectanceThis dataset contains Level 2A (L2A) unrectified surface reflectance images from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect approximately weekly VSWIR imagery across the study area enabling traceability analyses related to the science value of VSWIR revisit without relying on multispectral proxies. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range. The AVIRIS-NG L2A data are provided in ENVI binary format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format.The Surface Biology and Geology (SBG) High Frequency Time Series (SHIFT) was an airborne and field campaign during February to May, 2022, with a follow up activity for one week in September, in support of NASA's SBG mission. Its study area included a 640-square-mile (1,656-square-kilometer) area in Santa Barbara County and the coastal Pacific waters. The primary goal of the SHIFT campaign was to collect a repeated dense time series of airborne Visible to ShortWave Infrared (VSWIR) airborne imaging spectroscopy data with coincident field measurements in both inland terrestrial and coastal aquatic areas, supported in part by a broad team of research collaborators at academic institutions. The SHIFT campaign leveraged NASA's Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) facility instrument to collect approximately weekly VSWIR imagery across the study area. The SHIFT campaign 1) enables the NASA SBG team to conduct traceability analyses related to the science value of VSWIR revisit without relying on multispectral proxies, 2) enables testing algorithms for consistent performance over seasonal time scales and end-to-end workflows including community distribution, and 3) provides early adoption test cases to SHIFT application users and incubate relationships with basic and applied science partners at the University of California Santa Barbara Sedgwick Reserve and The Nature Conservancy's Jack and Laura Dangermond Preserve.Additional data from SHIFT and other relevant links can be found on the ORNL DAAC's SHIFT Project Page.Citation: Brodrick, P., R. Pavlick, M. Bernas, J.W. Chapman, R. Eckert, M. Helmlinger, M. Hess-Flores, L.M. Rios, F.D. Schneider, M.M. Smyth, M. Eastwood, R.O. Green, D.R. Thompson, K.D. Chadwick, and D.S. Schimel. 2023. SHIFT: AVIRIS-NG L2A Unrectified Reflectance. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2183
NASA Openscapes is a community of NASA data center staff and open science contributors who are helping researchers learn how to use the capabilities of Earthdata Cloud. This webinar is about the Openscapes Earthdata Cloud Cookbook, which is compilation of open-source tutorials, workflows, libraries, and cheatsheets for data, tools, and services available through Earthdata Cloud.Feb 28, 2024 2:00 ET (-0500 UTC) - Feb 28, 2024 3:30 ET (-0500 UTC)Register here for more information.Presenters: Bri Lind, LP DAAC; Luis Alberto Lopez Espinosa, NSIDC DAAC; Cassie Nickles, PO.DAAC; and Alexis Hunzinger, GES DISCHosted By: ESDIS Communications TeamAs part of this effort, NASA Openscapes Mentors are developing the open-source Earthdata Cloud Cookbook—a compilation of tutorials, workflows, and cheatsheets that has been refined through more than 20 Cloud workshops with researchers using NASA Earth science data. This webinar will show attendees how to use the many resources in the Earthdata Cloud Cookbook.As part of the broader open science community, NASA Openscapes supports Earth science data users by fostering an open science mindset focused on kindness and inclusion, as well as developing software to reduce time to science and meet researchers where they are.
The ORNL DAAC recently released a new Arctic-Boreal Vulnerability Experiment (ABoVE) dataset by Bakian-Dogaheh, K., et al. (2022): Soil Matric Potential, Dielectric, and Physical Properties, Arctic Alaska, 2018 This dataset provides lab-measured soil properties, including soil water matric potential, soil dielectric properties, soil electrical conductivity, corresponding soil moisture. The dataset also includes the basic soil physical properties such as soil organic matter, bulk density, porosity, fiber content, root biomass, and mineral texture. Soil samples were collected from August 21 to August 27, 2018, from the surface to permafrost table in soil pits at nine sites along the Dalton Highway in northern and central regions of Alaska. Permittivity and soil electrical conductivity measurements were conducted using METER TEROS 12 probes. Soil moisture measurements were made with a TEROS 21 probe. The measurements were conducted in the lab over the span of three years. The purpose of soil collection and lab measurements was to develop an integrated framework that relates the hydrological properties to dielectric properties of permafrost active layer soil in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign. The ABoVE is a NASA Terrestrial Ecology Program field campaign being conducted in Alaska and western Canada, for 8 to 10 years, starting in 2015. Research for ABoVE links field-based, process-level studies with geospatial data products derived from airborne and satellite sensors, providing a foundation for improving the analysis, and modeling capabilities needed to understand and predict ecosystem responses to, and societal implications of, climate change in the Arctic and Boreal regions. Additional data from ABoVE and other relevant links can be found on the ORNL DAAC's ABoVE Project Page. Citation: Bakian-Dogaheh, K., R.H. Chen, Y. Yi, T.D. Sullivan, R.J. Michaelides, A.D. Parsekian, K. Schaefer, A. Tabatabaeenejad, J. Kimball, and M. Moghaddam. 2023. Soil Matric Potential, Dielectric, and Physical Properties, Arctic Alaska, 2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2149