Optimal collection of high resolution aerial imagery with unmanned aerial systems

2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings

Volumn , Issue , 2014, Pages 89-94

  Stark, Brandon ^a   Chen, Yangquan ^a  

^a Merced   (United States)

Author keywords

imagery optimization; natural resource management; rangeland management; remote sensing; Unmanned Aerial System

Indexed keywords

AERIAL PHOTOGRAPHY; DATA ACQUISITION; IMAGE RECONSTRUCTION; MAPS; NATURAL RESOURCES MANAGEMENT; REFLECTION; REMOTE SENSING;

CLASSIFICATION TECHNIQUE; HIGH RESOLUTION AERIAL IMAGERY; HIGH RESOLUTION IMAGERY; NATURAL RESOURCE MANAGEMENT; RANGELAND MANAGEMENT; REMOTE SENSING APPLICATIONS; SPECTRAL HETEROGENEITY; UNMANNED AERIAL SYSTEMS;

AIRCRAFT;

EID: 84904545258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICUAS.2014.6842243     Document Type: Conference Paper

References (26)

1. P. J. Hardin and M. W. Jackson, "An Unmanned Aerial Vehicle for Rangeland Photography," Rangeland Ecology & Management, vol. 58, no. 4, pp. 439-442, 2005.
2. R. P. Breckenridge, M. Dakins, S. Bunting, J. L. Harbour, and S. White, "Comparison of unmanned aerial vehicle platforms for assessing vegetation cover in Sagebrush Steppe ecosystems," Rangeland Ecology & Management, vol. 64, no. 5, pp. 521-532, 2011.
3. J. J. Mitchell, N. F. Glenn, M. O. Anderson, R. C. Hruska, A. Halford, C. Baun, and N. Nydegger, "Unmanned Aerial Vehicle (UAV) Hyperspectral Remote Sensing for Dryland Vegetation Monitoring," in Proc. of Whispers 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2012.
4. A. S. Laliberte, J. E. Herrick, A. Rango, and C. Winters, "Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV) imagery for rangeland monitoring," Photogrammetric Engineering and Remote Sensing, vol. 76, no. 6, pp. 661-672, 2010.
5. Z. Song, Y. Chen, C. R. Sastry, and N. C. Tas, Optimal Observation for Cyber-Physical Systems. Springer, 2009.
6. C. Tricaud and Y. Chen, Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems. Springer, 2012.
7. H. Chao and Y. Chen, Remote Sensing and Actuation Using Unmanned Vehicles. John Wiley & Sons, 2012.
8. E. Honkavaara, L. Markelin, T. Rosnell, and K. Nurminen, "Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 67, pp. 13-26, 2012.
9. H. G. Jones and R. A. Vaughan, Remote Sensing of Vegetation. Oxford University Press, 2010.
10. P. R. Wolf, B. A. Dewitt, and B. Wilkinson, Elements of Photogrammetry with Applications in GIS. McGraw-Hill, 4 ed., 2014.
11. A. M. Jensen, T. Hardy, M. McKee, and Y. Q. Chen, "Using a multispectral autonomous unmanned aerial remote sensing platform (AggieAir) for riparian and wetlands applications," in Proc. of 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3413-3416, 2011.
12. B. Koetz, F. Morsdorf, S. Van der Linden, T. Curt, and B. Allgöwer, "Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data," Forest Ecology and Management, vol. 256, no. 3, pp. 263-271, 2008.
13. G. Rock, J. Ries, and T. Udelhoven, "Sensitivity Analysis of UAVPhotogrammetry for Creating Digital Elevation Models (DEM)," in Proc. of Conference on Unmanned Aerial Vehicle in Geomatics, 2011.
14. L. Javernick, J. Brasington, and B. Caruso, "Modelling the topography of shallow braided rivers using Structure-from-Motion photogrammetry," Geomorphology, vol. 213, pp. 166-182, 2014.
15. K. Whitehead, B. Moorman, and C. Hugenholtz, "Low-cost, ondemand aerial photogrammetry for glaciological measurement," Cryosphere Discussions, vol. 7, no. 3, 2013.
16. C.-T. Wu, C.-Y. Hsiao, and P.-S. Hsieh, "Using UAV and VBS-RTK for Rapid Reconstruction of Environmental 3D Elevation Data of the Typhoon Morakot Disaster Area and Disaster Scale Assessment," Journal of Chinese Soil and Water Conservation, vol. 44, no. 1, pp. 23-33, 2013.
17. A. S. Laliberte, M. A. Goforth, C. M. Steele, and A. Rango, "Multispectral remote sensing from unmanned aircraft: image processing workflows and applications for rangeland environments," Remote Sensing, vol. 3, no. 11, pp. 2529-2551, 2011.
18. Trimble UAS, "Trimble UAS." [ONLINE] http://uas.trimble.com/, 2014.
19. ESRI, "ArcGIS-Mapping and Spatial Analysis." [ONLINE] http://www.esri.com/software/arcgis, 2014.
20. M. Van Den Eeckhaut, J. Poesen, G. Verstraeten, V. Vanacker, J. Moeyersons, J. Nyssen, and L. Van Beek, "The effectiveness of hillshade maps and expert knowledge in mapping old deep-seated landslides," Geomorphology, vol. 67, no. 3, pp. 351-363, 2005.
21. L. Kumar, A. K. Skidmore, and E. Knowles, "Modelling topographic variation in solar radiation in a GIS environment," International Journal of Geographical Information Science, vol. 11, no. 5, pp. 475-497, 1997.
22. K. Zakšek, T. Podobnikar, and K. Oštir, "Solar radiation modelling," Computers & Geosciences, vol. 31, no. 2, pp. 233-240, 2005.
23. SAGA User Group Association, "SAGA-System for Automated Geoscientific Analyses." [ONLINE] http://www.saga-gis.org/, 2014.
24. P. T. Giles, "Remote sensing and cast shadows in mountainous terrain," Photogrammetric Engineering and Remote Sensing, vol. 67, no. 7, pp. 833-840, 2001.
25. National Oceanic & Atmospheric Administration, "NOAA Solar Calculator." [ONLINE] http://www.esrl.noaa.gov/gmd/grad/solcalc/, 2013.
26. Exelis Visual Information Solutions, "ENVI Software-Image Analysis Software." [ONLINE] https://www.exelisvis.com/ProductsServices/ENVI/ENVI. aspx, 2014.