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Volume 12, issue 1
Biogeosciences, 12, 163–175, 2015
https://doi.org/10.5194/bg-12-163-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: EUROSPEC – spectral sampling tools for vegetation biophysical...

Biogeosciences, 12, 163–175, 2015
https://doi.org/10.5194/bg-12-163-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Jan 2015

Research article | 09 Jan 2015

Deploying four optical UAV-based sensors over grassland: challenges and limitations

S. K. von Bueren et al.

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Cited articles

Aber, J. S., Aber, S. W., Pavri, F., Volkova, E., and Penner II, R. L.: Small-format aerial photography for assessing change in wetland vegetation, Cheyenne Bottoms, Kansas, Transactions of the Kansas Academy of Science, 109, 47–57, https://doi.org/10.1660/0022-8443(2006)109[47:sapfac]2.0.co;2, 2006.
Baret, F., Guyot, G., and Major, D. J.: TSAVI: A Vegetation Index Which Minimizes Soil Brightness Effects On LAI And APAR Estimation, Geoscience and Remote Sensing Symposium, 1989, IGARSS'89, 12th Canadian Symposium on Remote Sensing, International, 1355–1358, 1989.
Baugh, W. M. and Groeneveld, D. P.: Empirical proof of the empirical line, Int. J. Remote Sens., 29, 665–672, https://doi.org/10.1080/01431160701352162, 2008.
Bayer, B. E.: Color imaging array, 1976.
Berni, J., Zarco-Tejada, P., Surez, L., González-Dugo, V., and Fereres, E.: Remote sensing of vegetation from uav platforms using lightweight multispectral and thermal imaging sensors, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 2008.
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Unmanned aerial vehicles (UAVs) equipped with optical sensors facilitate non-invasive, real-time vegetation analysis. To guarantee robust scientific analysis, protocols need to be developed and sensors must be compared to state-of-the-art instruments. Here we compare four UAV sensors (RGB, NIR, six-band, spectrometer) to evaluate their applicability for vegetation monitoring. By showing the opportunities and pitfalls of UAV-based sensing, we describe ways to gather sound scientific data.
Unmanned aerial vehicles (UAVs) equipped with optical sensors facilitate non-invasive, real-time...
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