Oven Dried Leaf Spectra and Measured Traits from the Sierra Nevada (CA) in July 2023
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Last pushed 2024-12-20 17:14.
Last pushed 2024-12-20 17:14.
Data and Resources
Additional Info
| Field | Value |
|---|---|
| Author | Cecilia Vanden Heuvel, Natalie Queally, Ting Zheng, Laura Berman, Zach Breuer, Joel Cryer, Callan Lapinskas, Annabelle Majerus, Elliott Marsh, Philip Townsend |
| Maintainer | Cecilia Vanden Heuvel |
| Last Updated | December 20, 2024, 17:13 (UTC) |
| Created | December 20, 2024, 17:11 (UTC) |
| Acquisition Method | Contact |
| Citation | Cecilia Vanden Heuvel, Natalie Queally, Ting Zheng, Laura Berman, Zach Breuer, Joel Cryer, Callan Lapinskas, Annabelle Majerus, Elliott Marsh and Philip Townsend. 2023. Oven Dried Leaf Spectra and Measured Traits from the Sierra Nevada (CA) in July 2023. Data set. Available on-line [http://ecosis.org] from the Ecological Spectral Information System (EcoSIS) |
| Ecosystem Type | Forest, Grassland |
| Foreoptic Type | Contact Probe |
| Funding Source | A.25 Rapid Response and Novel Research in Earth Science (NASA) |
| Funding Source Grant Number | 80NSSC23K1251 |
| Instrument Manufacturer | Analytical Spectral Devices |
| Instrument Model | FieldSpec 3 |
| Instrument Serial Number | 16122 |
| Light Source | Lamp |
| Location Name | Sierra Nevada of California |
| Measurement Quantity | Reflectance |
| Measurement Units | % |
| Measurement Venue | Laboratory |
| NASA GCMD Keywords | [{"label":"earth science > biosphere > vegetation","value":"c7b5c02c-724d-4a19-b824-98180f3900c9"},{"label":"earth science > biosphere > vegetation > nitrogen","value":"ed7c506e-b18e-4a93-ac03-4bdfe119b72f"},{"label":"earth science > biosphere > vegetation > carbon","value":"6f6537f5-773f-4df1-862b-d9ab80eb5e04"},{"label":"earth science > biosphere > vegetation > nutrients","value":"9bcb805c-718e-42c3-913d-174bdf06d4c1"},{"label":"earth science > biosphere > vegetation > chlorophyll","value":"5e3999ec-d864-43fd-8d84-bd23630c405f"},{"label":"earth science > biosphere > vegetation > leaf characteristics","value":"bca1b724-3370-4a26-bcbc-3530ce4ddc97"},{"label":"earth science > biosphere > ecological dynamics > fire ecology","value":"62c6d256-e6d4-4204-b7a8-e084dd52d30a"},{"label":"earth science > atmosphere > weather events > droughts","value":"12a896f3-993d-49f6-aafc-17378ffa3998"},{"label":"earth science > biosphere > ecological dynamics","value":"6bef0291-a9ca-4832-bbb4-80459dc1493f"},{"label":"earth science > spectral/engineering","value":"83150c54-5da8-4ee8-9579-19b95a8dc10c"}] |
| Processing Averaged | No |
| Processing Interpolated | Yes |
| Processing Resampled | No |
| Sample Platform | Field spectrometer |
| Target Status | Dried, Ground |
| Target Type | Leaf |
| Theme | Forest, Biochemistry, Ecology, Physiology |
| Wavelength Units | nm |
| Year | 2023 |
| aliases | {"Common Name":"common_name","Latin Genus":"genus","Latin Species":"species","Sample Collection Date":"sampling_date","Vegetation Type":"plant_functional_type","Latitude":"latitude_of_plot","Longitude":"longitude_of_plot"} |
| resourceUpdateCount | 1 |