AEHYPCCMN300MM v001

Airborne Hyperspectral Reflectance LTER Cedar Creek Minnesota Daily 300 mm


PI: John Gamon, Ran Wang

Description

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.

Characteristics

Collection and Granule

Collection

Characteristic Description
CollectionAirborne Hyperspectral
DOI10.5067/Community/Airborne/AEHYPCCMN300MM.001
File Size300 MB
Temporal ResolutionOther
Temporal Extent2014-08-02 to 2014-08-02
Spatial ExtentCedar Creek, MN
Coordinate SystemUniversal Transverse Mercator (UTM)
DatumN/A
File FormatENVI
Geographic Dimensions339 m x 326 m

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers1
Columns/Rows1131 x 1085
Pixel Size300 mm

Layers

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor Additional Offset
Band 1-64¹ Canopy reflectance N/A 32-bit floating point N/A N/A 0 to 1 N/A N/A

┬╣Each of the 64 layers has the same characteristics. (Change Number of Science Dataset Layers to 64 in drupal)

Product Quality

There are no uncertainty calculations associated with these data.

Known Issues

No known issues.

Documentation

Using the Data

Tools

Citation

DOI: 10.5067/Community/Airborne/AEHYPCCMN300MM.001

About the Image