The Application of Airborne Remote Sensing Technology in Land and Resources

Article Preview

Abstract:

Airborne and space remote sensing system are all the important parts of the earth observation system, also being good supplements to each other. Airborne remote sensing has the advantages of being high resolution, good efficiency and flexibility, which makes itself an effective method to rapidly acquire high resolution remote sensing data. Particularly, the technologies of conducting low altitude remote sensing investigation by unmanned aerial vehicles are rapidly developed with a great progress achieved, so there is no doubt that it will plays an important role in the remote sensing geological investigation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4360-4363

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Costa, F.G., Ueyama, J., Braun, T., Pessin, G., Osorio, F.S., Vargas, P.A., 2012. The use ofunmanned aerial vehicles and wireless sensor network in agricultural applications. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012IEEE International, 22-27 July, p.5045.

DOI: 10.1109/igarss.2012.6352477

Google Scholar

[2] Cosentino, F., 2008. Development of an Integral System for Aerophotogrammetric Flight Planning, Data Acquisition and Imagery Ortho-mosaicking, Aerodreams UAV, accessed on February (2014).

Google Scholar

[3] Essen, H., Johannes, W., Stanko, S., Sommer, R., Wahlen, A., Wilcke, J., 2012. High resolution W-band UAV SAR. In: 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22-27 July 2012, p.5033–5036.

DOI: 10.1109/igarss.2012.6352480

Google Scholar

[4] Federal Aviation Administration, 2013. Integration of civil Unmanned Aircraft Systems (UAS) in the National Airspace System (NAS) Roadmap. Technical Report. US Department of Transportation, Federal Aviation Administration. Washington, DC, USA.

DOI: 10.1520/f2505

Google Scholar

[5] Küng, O., Strecha, C., Fua, P., Gurdan, D., Achtelik, M., Doth, K. -M., Stumpf, J., 2011. Simplified building models extraction from ultra-light uav imagery. ISPRS – Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci. XXXVIII-1/C22, 217–222.

DOI: 10.5194/isprsarchives-xxxviii-1-c22-217-2011

Google Scholar