DBPapers
DOI: 10.5593/SGEM2014/B23/S10.022

FLYING LABORATORY OF IMAGING SYSTEMS (FLIS) AT CZECHGLOBE

J. Hanus, T. Fabianek, V. Kaplan, L. Homolova
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-12-4 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 3, 177-182 pp

ABSTRACT
Ecosystems, their services, structures and functions are affected by complex environmental processes, which are both natural and human-induced and globally changing. For example, changing temperatures are relocating the ecological zones and consequently forcing plant species to adapt to new climatic regimes or to migrate into more suitable environments. Furthermore, frequent acute stress events (disturbances) and long-term chronic environmental loads (pollution) are alternating the plant ecophysiological functions, resulting in changes of primary production and carbon fluxes. In order to understand how ecosystems behave in globally changing environment, it is essential to monitor the current status of ecosystems and their structural and functional changes in time and space. Global Change Research Centre – CzechGlobe is building a new scientific infrastructure, which allows monitoring of ecosystem changes. One of its main components is a platform for remote sensing observations – FLIS (Flying Laboratory of Imaging Systems). FLIS consists from an airborne carrier equipped by passive as well as active remote sensing systems. The core instrument of FLIS is a hyperspectral imaging system provided by Itres Ltd. The hyperspectral system consists of three spectroradiometers, covering the reflective spectral range from 380 to 2450 nm as well as the thermal range from 8 to 10 um. In the near future, FLIS will be equipped by a full-wavefom airborne laser scanner (in cooperation with AdMaS project). Installation of hyperspectral and laser scanners onboard the same airborne platform allows synchronous data acquisition under same geometric conditions. A new data processing chain for hyperspectral images was developed. Processing chain includes radiometric and geometric corrections as well as quality layers which were developed within the FP7 project EUFAR - join research action HYQUAPRO. The processing chain was recently expanded by adding several methods of atmospheric corrections, which were established and developed in a way allowing to process data effectively and to meet specific requirements of hyperspectral flight campaigns and endusers.

Keywords: imaging spectroscopy, airborne hyperspectral remote sensing, processing chain, atmospheric corrections, quality layers 177