Am Großen Bruch, HySpex VNIR ATCOR, 2018-05-07, 2019-04-23 & TERENO boundaries GPKG 0 10591

Project
POF3 - T533 - From Models to Predictions - Großes Bruch
Description
3 different data sets:

(1) Hyperspectral data (atmosphere corrected with ATCOR4) of the TERENO site "Am Großen Bruch" (DE-GsB) acquired on 2018-05-07 and 2019-04-23. Only contains data from the HySpex VNIR sensor (400-1000nm, Pixelsize XY 0.16m x 0.32m, Frameperiod 18000µs, Integrationtime 10000).

(2) Vector data with bounding boxes of the Bode TERENO sites as a geopackage.

(3) Evaluation data set (table) containing subsampled variables derived from the hyperspectral data (vegetation indices), a digital elevation model (DEM) and geophysical variables (electromagnetic induction & gamma ray data) for the research site DE-GsB.


Method:
The data can be used to reproduce results from a vegetation stress detection analysis. Simplex volume maximisation (SiVM), an unsupervised learning method, was used to detect vegetation stress patterns from the high-dimensional hyperspectral data. The resulting classification was evaluated using established vegetation indices, a DEM and different geophysical measurements.

Results:
Statistical evaluation of the resulting stress metric showed a strong correspondence of stress-related vegetation indices and the SiVM-based stress metric. DEM and geophysical variables were irrelevant, in comparison.

Algorithms used for data preprocessing, analysis and visualization can be found at https://git.ufz.de/hermanns/rs_sivm or https://github.com/flossi/rs_sivm.

DOI
https://doi.org/10.48758/ufz.10591
Cite as (APA)
Hermanns, F. (2021). Am Großen Bruch, HySpex VNIR ATCOR, 2018-05-07, 2019-04-23 & TERENO boundaries GPKG [Data set]. Helmholtz-Zentrum für Umweltforschung. https://doi.org/10.48758/UFZ.10591
Size
8,5 GB
Data quality
quality assured data
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Metadata Catalogues
Dublin Core
URI
https://www.ufz.de/record/dmp/archive/10591
DOI
10.48758/ufz.10591
Subject
hyperspectral data, grassland, stress detection
Publication Date
11.05.2021
Coverage
TERENO site "Am großen Bruch" (DE-Gsb, 52.03°N, 11.10°E) 2018-05-07, 2019-04-23
Type of data
dataset (structured data in a defined format)
Data quality
quality assured data
Status of data
derived data
Data format
bsq
hdr
gpkg
csv
Creators
Hermanns, Floris
Contributors
Schulz, Gundula
Werban, Ulrike
Kögler, Simon
Publisher
Helmholtz-Zentrum für Umweltforschung
Rights holders
Helmholtz-Zentrum für Umweltforschung
Source/Origin
http://www.ufz.de/record/dmp/archive/5775
http://www.ufz.de/record/dmp/archive/6986
Contact
Floris Hermanns (floris.hermanns@ufz.de)
Time or Period of creation
07.05.2018 - 23.04.2019
Language of the content
English
Target group
Scientists working with hyperspectral data, monitoring technologies and machine learning methods
Teaching method
Using algorithms available at https://github.com/flossi/rs_sivm
Update frequency
keine Aktualisierung
Update policy
stored data will not be extended
Access permissions
free access
 
Geo Core
Spatial reference system
WGS84 - UTM Zone 32N (EPSG: 32632)
Category
Hyper-spectral data
Type of data
Grid
Data type
Float
Resolution
Resolution in m: ,5
Resolution in degree: -
Number of rows: 7701
Number of columns: 2161
Spectral data area
Min in nm: 400
Max in nm: 1000
Binning VNIR/SWIR: - / -