@inproceedings{8b34ec000ae64a288a4c0fe70b907439,
title = "UAV-based hyperspectral monitoring of small freshwater area",
abstract = "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.",
keywords = "Fabry-Perot interferometer, freshwater, hyperspectral imaging, target detection, uav",
author = "I. P{\"o}l{\"o}nen and Puupponen, {H. H.} and Eija Honkavaara and A. Lindfors and H. Saari and L. Markelin and T. Hakala and K. Nurminen",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI ; Conference date: 23-09-2014 Through 25-09-2014",
year = "2014",
doi = "10.1117/12.2067422",
language = "English",
series = "Proceedings of SPIE",
publisher = "International Society for Optics and Photonics SPIE",
editor = "Neale, {Christopher M. U.} and Antonino Maltese",
booktitle = "Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI",
address = "United States",
}