Canopy reflectance plant functional gradient IFGG/KIT
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Last pushed 2019-08-07 18:17.
Last pushed 2019-08-07 18:17.
Data and Resources
Additional Info
| Field | Value |
|---|---|
| Author | Kattenborn T. Schiefer F. Schmidtlein S. |
| Maintainer | Teja Kattenborn |
| Version | 1.0 |
| Last Updated | August 7, 2019, 18:16 (UTC) |
| Created | May 14, 2019, 14:58 (UTC) |
| Acquisition Method | Proximal |
| Citation | Kattenborn T. Schiefer F. Schmidtlein S.. 2017. Canopy reflectance plant functional gradient IFGG/KIT. Data set. Available on-line [http://ecosis.org] from the Ecological Spectral Information System (EcoSIS). doi:10.21232/krt4-6x67 |
| EcoSIS DOI | doi:10.21232/krt4-6x67 |
| EcoSIS DOI Status | {"applied": "2019-08-07T18:16:27.399679", "value": "Applied"} |
| Ecosystem Type | Grassland |
| Foreoptic Field of View | 15 degree |
| Foreoptic Type | Foreoptic |
| 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 | FieldSpec3 |
| Light Source | Sun |
| 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 | Botanical Garden, Karlsruher Institute of Technology (KIT), Germany |
| Measurement Quantity | Reflectance |
| Measurement Units | % |
| Measurement Venue | Outdoor |
| NASA GCMD Keywords | [{"label":"earth science > biosphere > vegetation > biomass","value":"686feba9-87ba-474c-8280-7f67565cfb2f"},{"label":"earth science > oceans > ocean chemistry > pigments > chlorophyll","value":"37669b8c-1940-4330-b4e9-ee49ad3673b5"},{"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 > vegetation > leaf characteristics > leaf area index (lai)","value":"f829171e-8b22-4f93-8f71-7932dfd7a70b"}] |
| Processing Averaged | Yes |
| Processing Interpolated | No |
| Sample Platform | handheld |
| Target Status | Fresh, Live |
| Target Type | Canopy |
| Theme | Ecology |
| Wavelength Units | nm |
| Year | 2017 |
| geojson | {"type":"Polygon","coordinates":[[[8.418529909104109,49.013107745891524],[8.418529909104109,49.01255886488647],[8.419356029480696,49.01255886488647],[8.419356029480696,49.013107745891524],[8.418529909104109,49.013107745891524]]]} |
| resourceUpdateCount | 1 |