Data coverage
The Airborne Hyperspectral Reflectance Indian Cave Nebraska Multi-Day (AEHYPICNE1M) data are from the Indian Cave Forest Global Earth Observatory (ForestGeo) plot in Indian Cave State Park in southeastern Nebraska. The data have a spatial resolution of 1 meter (m) and fall in the spectral range of 400-1000 nanometers (nm). The data can be used by researchers in developing new capabilities for the remote sensing of forest diversity and function, as well as a global biodiversity monitoring system. The Indian Cave ForestGeo plot airborne data were collected on September 6, 2019, and August 4, 2022. The images were collected by the Nebraska Earth Observatory (NEO), using an AisaKESTREL (Specim, Oulu, Finland) hyperspectral pushbroom sensor mounted on a Piper Saratoga fixed-wing aircraft. The AEHYPICNE1M product provides images with 178 hyperspectral bands that have been radiometrically, geometrically, and atmospherically corrected. AEHYP1TPPOK The Airborne Hyperspectral Reflectance data are from The Nature Conservancy’s Tallgrass Prairie Preserve in northeastern Oklahoma. The data have a spatial resolution of 1 meter (m) and fall in the spectral range of 400-2450 nanometers (nm). These data can be used to develop approaches for studying grassland biodiversity. The Nature Conservancy’s Tallgrass Prairie Preserve airborne data were collected on three separate occasions: August 3, 2020, July 31, 2021, and July 23, 2022. The images were collected by SpecTIR Remote Sensing (SRS) Division, contracted by Oklahoma State University, using an AisaFENIX 1K (Specim, Oulu, Finland) pushbroom sensor mounted on a Twin Commander 500 fixed wing aircraft. The AEHYP1TPPOK product provides orthorectified individual flight lines of 323 hyperspectral bands that have been radiometrically, geometrically, and atmospherically corrected. AEHYPCCMN300MM The Airborne Hyperspectral Reflectance image mosaic is of the Long-Term Ecological Research (LTER) site at Cedar Creek Ecosystem Science Reserve (CCESR), Minnesota (AEHYPCCMN300MM). The image is at approximate 1 meter and resampled to 300 millimeter (0.3 meter) spatial resolution during processing in the 400 to 970 nanometer (nm) spectral range. This image can be used to understand the optical diversity-biodiversity relationship and investigate the spatial sensitivity of the relationship at local scales. Airborne data for the LTER Cedar Creek site were collected on August 2, 2014, using an AisaEAGLE airborne hyperspectral system mounted on a fixed-wing Piper Saratoga aircraft. The images were collected from a height of 1,540 m and spectral binning (approximately 10 nm) increased the signal-to-noise ratio of the data. Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH) software was used for atmospheric correction in converting radiance to reflectance. Airborne data covered all the prairie grassland plots in the biodiversity (BioDIV) experiment and the Biodiversity and Climate experiment. The data were mosaicked as one image. Provided in the AEHYPCCMN300MM product are 64 hyperspectral bands in an Environment for Visualizing Images (ENVI) format. AEHYPWRNE1M The Airborne Hyperspectral Reflectance image mosaic is of the long-term prairie restoration and biodiversity study site led by the Nature Conservancy near Wood River, Nebraska (AEHYPWRNE1M). The approximately 1-meter (m) spatial resolution image was resampled in the 397 to 1004 nanometer (nm) spectral range. This image can be used to detect grassland biodiversity over time to help develop a regional biodiversity monitoring program. Airborne data for the long-term prairie restoration and biodiversity Wood River site were collected on four separate occasions: August 23, 2017; June 27, 2018; August 24, 2018; October 16, 2018. The images were collected using an AisaKESTREL compact hyperspectral pushbroom sensor. Provided in the AEHYPWRNE1M product are 178 hyperspectral bands that have been radiometrically, geometrically, and atmospherically corrected. Data Discovery Explore this data using NASA's Earthdata Search, a comprehensive tool for discovering and visualizing Earth science datasets. Data Access Access requires an Earthdata Login account. Read our guide on obtaining AWS credentials to retrieve this data from AWS.
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