UAV-based hyperspectral monitoring of small freshwater area

I. Pölönen, H. H. Puupponen, Eija Honkavaara, A. Lindfors, H. Saari, L. Markelin, T. Hakala, K. Nurminen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

9 Citations (Scopus)


Recent development in compact, lightweight hyperspectral imagers have enabled UAV-based remote sensing with reasonable costs. We used small hyperspectral imager based on Fabry-Perot interferometer for monitoring small freshwater area in southern Finland. In this study we shortly describe the utilized technology and the field studies performed. We explain processing pipeline for gathered spectral data and introduce target detection-based algorithm for estimating levels of algae, aquatic chlorophyll and turbidity in freshwater. Certain challenges we faced are pointed out.

Original languageEnglish
Title of host publicationRemote Sensing for Agriculture, Ecosystems, and Hydrology XVI
EditorsChristopher M. U. Neale, Antonino Maltese
PublisherInternational Society for Optics and Photonics SPIE
ISBN (Electronic)978-1-62841-302-1
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventRemote Sensing for Agriculture, Ecosystems, and Hydrology XVI - Amsterdam, Netherlands
Duration: 23 Sept 201425 Sept 2014

Publication series

SeriesProceedings of SPIE - The International Society for Optical Engineering


ConferenceRemote Sensing for Agriculture, Ecosystems, and Hydrology XVI


  • Fabry-Perot interferometer
  • freshwater
  • hyperspectral imaging
  • target detection
  • uav


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