Airborne Hyperspectral Reflectance LTER Cedar Creek Minnesota daily canopy reflectance data from the AEHYPCCMN300MM product over Cedar Creek Ecosystem Science Reserve, Minnesota, United States, August 2, 2014.
View full-size imageThe 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.
Characteristic | Description |
---|---|
Collection | Airborne Hyperspectral |
DOI | 10.5067/Community/Airborne/AEHYPCCMN300MM.001 |
File Size | 300 MB |
Temporal Resolution | Other |
Temporal Extent | 2014-08-02 to 2014-08-02 |
Spatial Extent | Cedar Creek, MN |
Coordinate System | Universal Transverse Mercator (UTM) |
Datum | NAD83 |
File Format | ENVI |
Geographic Dimensions | 339 m x 326 m |
Characteristic | Description |
---|---|
Number of Science Dataset (SDS) Layers | 1 |
Columns/Rows | 1131 x 1085 |
Pixel Size | 300 mm |
SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
---|---|---|---|---|---|---|---|
Band 1-64¹ | Canopy reflectance | N/A | 32-bit floating point | N/A | N/A | 0 to 1 | N/A |
¹The Number of Science Dataset Layers is actually 64. Each of the 64 layers has the same characteristics.
There are no uncertainty calculations associated with these data.
No known issues.