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

von Bueren, S. K.; Burkart, A.; Hueni, A.; Rascher, U.; Tuohy, M. P.; Yule, I. J.

doi:10.5194/bg-12-163-2015

Articles | Volume 12, issue 1

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...

https://doi.org/10.5194/bg-12-163-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 1

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, A. Burkart, A. Hueni, U. Rascher, M. P. Tuohy, and I. J. Yule

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Cumulative views and downloads (calculated since 07 Mar 2014)

Month	HTML	PDF	XML	Total
Mar 2014	109	137	11	257
Apr 2014	25	62	6	93
May 2014	18	42	6	66
Jun 2014	19	38	2	59
Jul 2014	35	49	6	90
Aug 2014	19	31	1	51
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Oct 2014	21	52	3	76
Nov 2014	14	43	3	60
Dec 2014	11	266	0	277
Jan 2015	126	143	6	275
Feb 2015	64	70	5	139
Mar 2015	23	33	4	60
Apr 2015	41	75	0	116
May 2015	28	86	0	114
Jun 2015	49	76	5	130
Jul 2015	52	90	3	145
Aug 2015	21	40	3	64
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Oct 2015	28	49	5	82
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Nov 2025	49	30	5	84
Dec 2025	56	27	10	93
Jan 2026	61	40	6	107
Feb 2026	17	23	1	41

Latest update: 12 Feb 2026

Short summary

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.