Leaf reflectance plant functional gradient IFGG/KIT
Published. View in Search.
Last pushed 2020-06-15 10:12.
Last pushed 2020-06-15 10:12.
Data and Resources
Additional Info
Field | Value |
---|---|
Author | Kattenborn T. Schiefer F. Schmidtlein S. |
Maintainer | Teja Kattenborn |
Version | 1.0 |
Last Updated | June 15, 2020, 10:11 (UTC) |
Created | May 2, 2019, 12:26 (UTC) |
Acquisition Method | Contact |
Citation | Kattenborn T. Schiefer F. Schmidtlein S.. 2017. Leaf reflectance plant functional gradient IFGG/KIT. Data set. Available on-line [http://ecosis.org] from the Ecological Spectral Information System (EcoSIS). doi:10.21232/dx1z-qz48 |
EcoSIS DOI | doi:10.21232/dx1z-qz48 |
EcoSIS DOI Status | {"applied": "2019-08-07T18:16:32.226315", "value": "Applied"} |
Ecosystem Type | Grassland |
Foreoptic Type | Leaf Clip |
Funding Source | The project was funded by the German Aerospace Centre (DLR) on behalf of the Federal Ministry of Economics and Technology (BMWi). The project is part of the preparation of the EnMAP satellite mission. |
Funding Source Grant Number | FKZ 50 EE 1347 |
Instrument Manufacturer | Malvern Panalytical |
Instrument Model | ASD FieldSpec 3 |
Light Source | Lamp |
LinkedData | [{"label":"Kattenborn, T., Schmidtlein, S. (2019): Radiative transfer modelling reveals why canopy reflectance follows function. Nature Scientific Reports, 9:6541","url":"https://doi.org/10.1038/s41598-019-43011-1"},{"label":"Kattenborn, T., Fassnacht, F. E., Schmidtlein, S. (2018): Differentiating plant functional types using reflectance: Which traits make the difference? Remote Sensing in Ecology and Conservation 5(1).","url":"https://doi.org/10.1002/rse2.86"}] |
Location Name | Karlsruhe, Germany |
Measurement Quantity | Reflectance |
Measurement Units | % |
Measurement Venue | Outdoor |
NASA GCMD Keywords | [{"label":"earth science > biosphere > vegetation > leaf characteristics","value":"bca1b724-3370-4a26-bcbc-3530ce4ddc97"},{"label":"earth science > biosphere > vegetation > chlorophyll","value":"5e3999ec-d864-43fd-8d84-bd23630c405f"},{"label":"earth science > biosphere > vegetation > pigments","value":"3e801e91-897e-4528-8f4c-4ec527ad33cc"},{"label":"earth science > biosphere > vegetation > biomass","value":"686feba9-87ba-474c-8280-7f67565cfb2f"}] |
Processing Averaged | Yes |
Processing Interpolated | Yes |
Sample Platform | handheld |
Target Status | Fresh |
Target Type | Leaf |
Theme | Ecology |
Wavelength Units | nm |
Year | 2017 |
geojson | {"type":"Polygon","coordinates":[[[8.418304603546858,49.01337789603894],[8.418304603546858,49.01210420826965],[8.419688623398542,49.01210420826965],[8.419688623398542,49.01337789603894],[8.418304603546858,49.01337789603894]]]} |
resourceUpdateCount | 6 |