Description
Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.
The purpose of G-LiHT’s Hyperspectral Ancillary data product (GLHYANC) is to provide information related to aircraft attitude and altitude, view and solar angles, and other ancillary reflectance and radiance data.
GLHYANC data are processed as a zipped raster data product (GeoTIFF) with associated header file (.hdr) at 1 meter spatial resolution over locally defined areas.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| This dataset's landing page | HTML | The LP DAAC product page provides information on Science Data Set layers and links for user guides, data access, tools, customer support, etc. | Open resource |
| Download this dataset through a directory map | TIFF | LP DAAC Data Pool provides direct access to available products via HTTPs. | Open resource |
| View information related to this dataset | HTML | GLMETA Data Pool Lnk | Open resource |
| The dataset's project home page | HTML | The G-LiHT website provides additional information on the data product. | Open resource |
| The dataset's project home page | HTML | The LP DAAC website provides detailed information on discovery, distribution, access, and support of land data products. | Open resource |
| View this dataset's user's guide | The technical information in the User's Guide enables users to interpret and use the data products. | Open resource | |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | TIFF | Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data. | Open resource |