Collection Overview

Community

The Community collection includes land data products derived from one or more of the National Aeronautics and Space Administration (NASA) Earth Observing System (EOS) missions. These Community data products are generated by selected scientists and are not considered to be part of the EOS mission's standard data products.

Airborne Hyperspectral Reflectance Mosaic

Principal Investigator: John Gamon, Ran Wang

The Airborne Hyperspectral Reflectance image mosaic was acquired over the Long-Term Ecological Research (LTER) site at Cedar Creek Ecosystem Science Reserve (CCESR), Minnesota. This fine resolution mosaic can be used to better understand the optical diversity-biodiversity relationship and to investigate the spatial sensitivity of the optical diversity-biodiversity relationship at local scales.

Airborne Hyperspectral Reflectance Mosaic Products Table

ASTER GED

Principal Investigator: Glynn Hulley, Jet Propulsion Laboratory (JPL)

Using data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on NASA's Terra spacecraft, NASA/JPL derived the most detailed global emissivity map of the Earth, termed the ASTER Global Emissivity Database (GED).

ASTER GED Products Table

GHISA

Principal Investigator:  Prasad Thenkabail, Itiya P. Aneece

The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive hyperspectral library of the world’s major agricultural crops (e.g., wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas) and their growth stages (emergence/very early vegetative, early and mid-vegetative, late vegetative, critical, maturing/senescence, and harvest). Hyperspectral data for GHISA were acquired from spaceborne, airborne, and ground-based platforms.

GHISA Products Table

Headwall Hyperspectral Reflectance Mosaic

Principal Investigator: John Gamon, Ran Wang

An imaging spectrometer on an airborne tram system collected images at 1-millimeter spatial resolution for 33 selected plots at the biodiversity (BioDIV) experiment at the CCESR LTER, Minnesota. The hyperspectral range and fine resolution of the data will assist researchers in studying biodiversity in this area. These findings can be used to guide future airborne studies in developing more effective large-scale biodiversity sampling methods.

Headwall Hyperspectral Reflectance Mosaic Products Table

FUTURE Community

G-LiHT

Principal Investigator: Bruce Cook

Goddard’s Light Detection and Ranging (LiDAR), Hyperspectral, and Thermal (G-LiHT) airborne imager was developed to simultaneously derive information about the composition, structure, and function of terrestrial ecosystems using a combination of LiDAR, imaging spectroscopy, and thermal measurements.