The DOI matches its Crossref record.
Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use
Open accessAbstract
Unmanned Aircraft Systems (UAS) have evolved rapidly over the past decade driven primarily by military uses, and have begun finding application among civilian users for earth sensing reconnaissance and scientific data collection purposes. Among UAS, promising characteristics are long flight duration, improved mission safety, flight repeatability due to improving autopilots, and reduced operational costs when compared to manned aircraft. The potential advantages of an unmanned platform, however, depend on many factors, such as aircraft, sensor types, mission objectives, and the current UAS regulatory requirements for operations of the particular platform. The regulations concerning UAS operation are still in the early development stages and currently present significant barriers to entry for scientific users. In this article we describe a variety of platforms, as well as sensor capabilities, and identify advantages of each as relevant to the demands of users in the scientific research sector. We also briefly discuss the current state of regulations affecting UAS operations, with the purpose of informing the scientific community about this developing technology whose potential for revolutionizing natural science observations is similar to those transformations that GIS and GPS brought to the community two decades ago.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Classifications, applications, and design challenges of drones: A review
Hassanalian, M., & Abdelkefi, A. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.04.003 · Cited by 1,454
Critical review on the cooling effect of urban blue-green space: A threshold-size perspective
Yu, Z., Yang, G., Zuo, S., Jørgensen, G., Koga, M., & Vejre, H. (2020) · Urban Forestry & Urban Greening · doi:10.1016/j.ufug.2020.126630 · Cited by 700
Shakeri, R., Al-Garadi, M. A., Badawy, A., Mohamed, A., Khattab, T., Al-Ali, A. K., Harras, K. A., & Guizani, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2924143 · Cited by 295
Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds
Lucieer, A., Turner, D., King, D. H., & Robinson, S. A. (2014) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2013.05.011 · Cited by 260
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach
Liebisch, F., Kirchgessner, N., Schneider, D., Walter, A., & Hund, A. (2015) · Plant Methods · doi:10.1186/s13007-015-0048-8 · Cited by 174
Metadata
- Authors
- Watts, A. C., Ambrosia, V. G., & Hinkley, E. A.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2012-06-08
- Volume
- 4
- Issue
- 6
- Pages
- 1671-1692
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2120225005
- Cited by
- 927
- References
- 0
- FWCI
- 56.78
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. https://app.cochat.ai/papers/10.3390/rs4061671
- The paper
- Watts, A. C., Ambrosia, V. G., & Hinkley, E. A. (2012). Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. Remote Sensing. https://doi.org/10.3390/rs4061671
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.