The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
Open accessAbstract
Abstract Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace. Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) are platforms considered under the RPAs paradigm. Simultaneously, the development of sensors and instruments to be installed onboard such platforms is growing exponentially. These two factors together have led to the increasing use of these platforms and sensors for remote sensing applications with new potential. Thus, the overall goal of this paper is to provide a panoramic overview about the current status of remote sensing applications based on unmanned aerial platforms equipped with a set of specific sensors and instruments. First, some examples of typical platforms used in remote sensing are provided. Second, a description of sensors and technologies is explored which are onboard instruments specifically intended to capture data for remote sensing applications. Third, multi-UAVs in collaboration, coordination, and cooperation in remote sensing are considered. Finally, a collection of applications in several areas are proposed, where the combination of unmanned platforms and sensors, together with methods, algorithms, and procedures provide the overview in very different remote sensing applications. This paper presents an overview of different areas, each independent from the others, so that the reader does not need to read the full paper when a specific application is of interest
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Cites
Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology
Fornace, K. M., Drakeley, C. J., William, T., Espino, F., & Cox, J. (2014) · Trends in Parasitology · doi:10.1016/j.pt.2014.09.001 · Cited by 167
Urban Traffic Analysis through an UAV
Salvo, G., Caruso, L., & Scordo, A. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.01.143 · Cited by 129
Cited by
Deep learning for unmanned aerial vehicle-based object detection and tracking: a survey
Wu, X., Li, W., Hong, D., Tao, R., & Du, Q. (2022) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2021.3115137 · Cited by 421
Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives
Jones, R. A. C., & Naidu, R. A. (2019) · Annual Review of Virology · doi:10.1146/annurev-virology-092818-015606 · Cited by 375
Emerging Technologies to Conserve Biodiversity
Pimm, S. L., Alibhai, S., Bergl, R., Dehgan, A., Giri, C., Jewell, Z., Joppa, L., Kays, R., & Loarie, S. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.08.008 · Cited by 349
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Hunt, E. R., & Daughtry, C. S. T. (2018) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1410300 · Cited by 325
Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?
Chabot, D., & Bird, D. M. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0021 · Cited by 286
Metadata
- Authors
- Pajares, G.
- Venue
- Photogrammetric Engineering & Remote Sensing
- Published
- 2015-04-01
- Volume
- 81
- Issue
- 4
- Pages
- 281-330
- ISSN
- 0099-1112 (ISSN-L)
- OpenAlex
- W2251608823
- Cited by
- 806
- References
- 2
- FWCI
- 85.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Pajares, G. (2015). Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs). Photogrammetric Engineering & Remote Sensing. https://doi.org/10.14358/pers.81.4.281
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