Headwall Hyperspectral Reflectance LTER Cedar Creek Minnesota Multi-Year canopy reflectance data from the HWHYPCCMN1MM product over Cedar Creek Ecosystem Science Reserve, Minnesota, United States, July 2015.
View full-size imageThe Headwall Hyperspectral Reflectance data are for the Long-Term Ecological Research (LTER) at Cedar Creek Ecosystem Science Reserve (CCESR), Minnesota (HWHYPCCMN1MM). The reflectance products are at 1 millimeter (mm) spatial resolution in the 400 to 1,000 nanometer spectral range. This dataset can be used to understand the optical diversity-biodiversity relationship and investigate the spatial sensitivity of the relationship at local scales.
A Headwall Series E imaging spectrometer was mounted on a tram system to collect designated plots for the biodiversity (BioDIV) experiment at the LTER Cedar Creek site. The imaging spectrometer, located 3 meters above the ground surface, obtained 1 mm ground pixel size of hyperspectral field image cubes that are among the finest spatial resolution available. The fine-scale images were acquired at a prairie grassland ecosystem during June/July 2014 and July 2015.
Provided in the HWHYPCCMN1MM product are 920 to 924 hyperspectral bands in an Environment for Visualizing Images (ENVI) format.
| Characteristic | Description |
|---|---|
| Collection | Headwall |
| DOI | 10.5067/Community/Headwall/HWHYPCCMN1MM.001 |
| File Size | ~5 GB |
| Temporal Resolution | Other |
| Temporal Extent | 2014-06-01 to 2015-07-31 |
| Spatial Extent | Cedar Creek, MN |
| Coordinate System | Geographic Latitude and Longitude |
| Datum | NAD83 |
| File Format | ENVI |
| Geographic Dimensions | 1000 mm x 1600 mm |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 1 |
| Columns/Rows | 1000 x 1600 |
| Pixel Size | 1 mm |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|---|
| Band 1-924¹ | Canopy reflectance | N/A | 32-bit floating point | N/A | N/A | -10 to 100 | N/A |
¹The Number of Science Dataset Layers is actually 920 layers for 2014 and 924 for 2015 Each layer has the same characteristics.
There are no uncertainty calculations associated with these data.
No known issues.