Airborne hyperspectral reflectance image from AEHYPICNE1M dataset of Indian Cave ForestGeo plot in southeastern Nebraska, August 4, 2022.
View full-size imageThe 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.
| Characteristic | Description |
|---|---|
| Collection | Airborne Hyperspectral |
| DOI | 10.5067/Community/Airborne/AEHYPICNE1M.001 |
| File Size | ~4.5 GB |
| Temporal Resolution | Other |
| Temporal Extent | 2019-09-06 to 2022-08-04 |
| Spatial Extent | Indian Cave State Park, NE |
| Coordinate System | Universal Transverse Mercator (UTM) |
| Datum | World Geodetic System (WGS84) |
| File Format | ENVI |
| Geographic Dimensions | Varies |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 1 |
| Columns/Rows | Varies x Varies |
| Pixel Size | 1 m |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|---|
| Band 1-178¹ | Reflectance | N/A | 32-bit floating point | N/A | N/A | 0 to 100 | N/A |
¹There are 178 science data layers. Each layer has the same characteristics.
The airborne data were evaluated for accuracy and uncertainties by comparing the data to ground measurements. For further details of methods used, refer to https://doi.org/10.1016/j.rse.2021.112663.
No known issues.