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2016 | 20 | 1 | 5-10

Article title

Data acquisition with the APEX hyperspectral sensor

Content

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Abstracts

EN
APEX (Airborne Prism EXperiment) is a high spectral and spatial resolution hyperspectral sensor developed by a Swiss-Belgian consortium on behalf of the European Space Agency. Since the acceptance of the instrument in 2010, it has been operated jointly by the Flemish Institute for Technological Research (VITO, Mol, Belgium) and the Remote Sensing Laboratories (RSL, Zurich, Switzerland). During this period, several flight campaigns have been performed across Europe, gathering over 4 Terabytes of raw data. Following radiometric, geometric and atmospheric processing, this data has been provided to a multitude of Belgian and European researchers, institutes and agencies, including the European Space Agency (ESA), the European Facility for Airborne Research (EUFAR) and the Belgian Science Policy Office (BelSPO). The applications of APEX data span a wide range of research topics, e.g. landcover mapping (mountainous, coastal, countryside and urban regions), the assessment of important structural and (bio)physical characteristics of vegetative and non-vegetative species, the tracing of atmospheric gases, and water content analysis (chlorophyll, suspended matter). Recurrent instrument calibration, accurate flight planning and preparation, and experienced pilots and instrument operators are crucial to successful data acquisition campaigns. In this paper, we highlight in detail these practical aspects of a typical APEX data acquisition campaign.

Year

Volume

20

Issue

1

Pages

5-10

Physical description

Dates

published
2016

Contributors

author
  • Flemish Institute for Technological Research (VITO NV), Belgium
  • Flemish Institute for Technological Research (VITO NV), Belgium
author
  • Flemish Institute for Technological Research (VITO NV), Belgium
author
  • Flemish Institute for Technological Research (VITO NV), Belgium

References

  • APEX 2015. Available from: <http://www.apex-esa.org/>. [26 October 2015].
  • ASD 2015. Available from: <http://www.asdi.com/products/fieldspec-spectroradiometers>. [26 October 2015].
  • Biesemans, J, Sterckx, S, Knaeps, E, Vreys, K, Adriaensen, S, Hooyberghs, J, Meuleman, Km Kempeneers, P, Deronde, B, Everaerts, J, Schlapfer, D & Nikeke, J 2007, 'Image processing workflows for airborne remote sensing’, Proceedings 5m EARSeL Workshop on Imaging Spectroscopy, Brugges, Belgium, pp. 114. [23-25 April 2007].
  • Calibration Home Base 2015. Available from:
  • Cervena, L, Lhotakova, Z, Kopackova, V, Kupkova, L, Misurec, J, Potuckova, M, Cudlin, P, Entcheva-Campbell, P & Albrechtova, J 2014, Temporal changes in Norway spruce physiological status using hyperspectral data: a case study of mountainous forests affected by long-term acidic depositions’, EARSeL Proceedings, Special Issue: 34th EARSeL Symposium, pp. 71-75.
  • CIMEL 2015. Available from: <http://www.cimel.fr/?instrument=multi-band-sunsky-photometer&land=en> [26 October 2015].
  • D’Odorico, P, Gonsamo, A, Damm, A & Schaepman, ME 2013, 'Experimental evaluation of Sentinel-2 spectral response functions for NDVI time-series continuity’, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, pp. 1336-1348.[WoS]
  • Delalieux, S, Zarco-TejadaJ PJ, Tits, L, Jimenez Bello, MA, Intrigliolo, DS & Somers, B 2014, 'Unmixing-based fusion of hyperspatial and hyperspectral Airborne Imagery for early detection of vegetation stress’, IEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2571-2582, June 2014, DOI: 10.1109/JSTARS.2014.2330352.[Crossref][WoS]
  • Demarchi, L, Canters, F, Cariou, C, Licciardi, G & Chan, JC-W 2014, 'Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping’, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 87, pp. 166-179.
  • Dornier 2015. Available from: <http://dlr.de/dlr/en/desktopdefault.aspx/tabid-10203/339_read-273#/gallery/127>. [26 October 2015].
  • Erturk, A, lordache, M-D & Plaza, A 2015, 'Sparse unmixing- based change detection for multitemporal hyperspectral images’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (in press, DOI: 10.1109/JSTARS.2015.2477431).[Crossref][WoS]
  • Haest, B, Schepers, L, Veraverbeke, S, Spanhove, T, Vanden Borre, J, Kempeneers, P & Goossens, R 2013, 'Burn severity assessment of a heatland fire in Belgium using APEX hyperspectral indices’, 9th EARSeL Forest Fire Special Interest Group Workshop, Leicester, UK [15-17 October 2013].
  • Hueni,A, Biesemans, J, Meuleman, K, Dell’Endice, F, Schlapfer, D, Odermatt, D, Kneubuehler, M, Adriaensen, S, Kempenaers, P, Nieke, J & Ittenm Kl 2009, 'Structure, components and interfaces of the Airborne Prism Experiment (APEX) processing and archiving facility’, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 1, pp. 29-43.[WoS]
  • Itten, Kl, Dell’Endice, F, Hueni, A, Kneubühler M, Schläpfer, D, Odermatt, D, Seidel, F, Huber, S, Schöpfer, J, Kellenberger, T, Bühler, Y, D’Odorico, P, Nieke, J, Alberti, E & Meuleman, K 2008, 'APEX - the Hyperspectral ESA Airborne Prism Experiment’, Sensors, vol. 8, pp. 6235-6259.
  • Kempeneers, P, Vancoillie, F, Liao, W, Devriendt, F & Vandekerkhove, K 2014, Tree species mapping by combining hyperspectral with LiDAR data’, IEEE International Sumposium on Geoscience and Remote Sensing, New York, USA.
  • Manakos, I & Braun, M (eds) 2014, Land use and land cover mapping in Europe: Practices and Trends, Springer Nederlands, DOI: 10.1007/978-94-007-7969-3.[Crossref]
  • Marcinkowska, A, Zagajewski, B, Ochtyra, A, Jarocinska, A, Raczko, E, Kupkova, L, Stych, P & Meuleman, K 2014, 'Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and support vector machines’, Miscellanea Geographica - Regional Studies on Development, vol. 18, no. 2, pp. 23-29. DOI: 10.2478/mgrsd-2014-0007.[Crossref]
  • Microtops 2015. Available from: <http://fsf.nerc.ac.uk/instruments/sunphotometer.shtml>. [26 October 2015].
  • Mostafa, MMR&, Hutton, J 2001,'Proceedings American Society of Photogrammetry and Remote Sensing (ASPRS)’, Annual Meeting, St. Louis, MO, USA, [22-27 April 2001].
  • Mostafa, MMR 2001, 'Proceedings of the International Symposium on Kinematic Systems in Geodesy’, Geomatics and Navigation - KIS 2001, Banff, Canada, pp. 440-445.
  • Popp, C, Brunner, D, Damm, A, Van Roozendael, M, Fayt, C & Buchmann, B 2012, 'High-Resolution N02 remote sensing from the Airborne Prism Experiment (APEX) imaging spectrometer’, Atmospheric Measurement Techniques, vol. 5, pp. 2211-2225.
  • Rapp, M, Schweiger, A & Haller, R 2013, 'Biomass mapping of alpine grassland with APEX imaging spectrometry data’, Conference Volume of the 5th Symposim for Research in Protected Areas, Mittersill, pp. 613-637. [10-12 June 2013].
  • Schaepman, ME, Jehle, M, Hueni, A, D’Odorico, P, Damm, A, Weyermann, J, Schneider, FD, Laurent, V, Popp, C, Seidel, FC, Lenhard, K, Gege, P, Küchler, C, Brazile, J, Kohler, P, De Vos, L, Meuleman, K, Meynart, R, Schläpfer, D, Kneubühler, M & Itten, Kl 2015, 'Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX)’, Remote Sensing of Environment, vol. 158, pp. 207-219.[WoS]
  • Seidel, FC, Kokhanovsky, AA & Schaepman, ME 2012, 'Fast retrieval of aerosol optical depth and Its sensitivity to surface albedo using remote sensing data’, Atmospheric Research, vol. 116, pp. 22-32.
  • Tack, F, Merlaud, A, Fayt, C, Danckaert, T, lordache, M-D, Meuleman, K, Deutsch, F, Adrianssens, S, Fuerens, F & Van Roozendael, M 2015, 'High resolution mapping of the tropospheric NO, distribution in three Belgian cities based on airborne APEX remote sensing’, EGU General Assembly, Vienna, Austria. [12-27 April 2015].

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1035944

YADDA identifier

bwmeta1.element.ojs-issn-0867-6046-year-2016-volume-20-issue-1-article-bwmeta1_element_doi-10_1515_mgrsd-2016-0001
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