IN11E-1801
The spectral database Specchio: Data management, data sharing and initial processing of field spectrometer data within the Dimensions of Biodiversity project

Monday, 14 December 2015
Poster Hall (Moscone South)
Anna K Schweiger, University of Minnesota Twin Cities, Department of Ecology, Evolution and Behavior, Saint Paul, MN, United States and Andreas Hueni, University of Zurich, Zurich, Switzerland
Abstract:
Field spectrometry has substantially gained importance in vegetation ecology due to the increasing knowledge about causal ties between vegetation spectra and biochemical and structural plant traits. Additionally, worldwide databases enable the exchange of spectral and plant trait data and promote global research cooperation. This can be expected to further enhance the use of field spectrometers in ecological studies. However, the large amount of data collected during spectral field campaigns poses major challenges regarding data management, archiving and processing. The spectral database Specchio is designed to organize, manage, process and share spectral data and metadata. We provide an example for using Specchio based on leaf level spectra of prairie plant species collected during the 2015 field campaign of the Dimensions of Biodiversity research project, conducted at the Cedar Creek Long-Term Ecological Research site, in central Minnesota. We show how spectral data collections can be efficiently administered, organized and shared between distinct research groups and explore the capabilities of Specchio for data quality checks and initial processing steps.