Does the data resolution/origin matter? Satellite, airborne and UAV imagery to tackle plant invasions

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 41, Issue , 2016, Pages 903-908

  Müllerová, Jana ^a   Brůna, Josef ^a,b   Dvořák, Petr ^c   Bartaloš, Tomáš ^d   Vítková, Michaela ^a  

^a INSTITUTE OF BOTANY   (Czech Republic)

^b CHARLES UNIVERSITY   (Czech Republic)

^c BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^d GISAT   (Czech Republic)

Author keywords

Detection; Invasive species; Mapping; MSS imagery; Object and pixel based classification; Spatial and temporal resolution; Spectral

Indexed keywords

BIODIVERSITY; ECONOMIC AND SOCIAL EFFECTS; ERROR DETECTION; HEALTH RISKS; ITERATIVE METHODS; MAPPING; PHOTOMAPPING; PIXELS; PLANTS (BOTANY); REMOTE SENSING; SATELLITES; SPECTRAL RESOLUTION; TREES (MATHEMATICS); UNMANNED AERIAL VEHICLES (UAV);

INVASIVE SPECIES; MSS IMAGERY; PIXEL BASED CLASSIFICATIONS; SPATIAL AND TEMPORAL RESOLUTIONS; SPECTRAL;

SATELLITE IMAGERY;

EID: 84979582951     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XLI-B7-903-2016     Document Type: Conference Paper

References (17)

1. Blaschke, T., Lang, S., Hay, G.J. (Eds.), 2008. Object-based Image Analysis: Spatial Concepts for Knowledge-driven Remote Sensing Applications. Springer, Berlin.
2. Dorigo, W., Lucieer, A., Podobnikar T. & Čarni A., 2012. Mapping invasive Fallopia japonica by combined spectral, spatial, and temporal analysis of digital orthophotos. International Journal of Applied Earth Observation and Geoinformation 19, pp. 185-195.
3. Dvorak, P., Pejchar, J. & Zikmund, P., 2013. Overview of Unmanned Aerial Systems Developed at the Institute of Aerospace Engineering. In J. Juracka, A. Kazda, A. Novak (eds.): New Trends in Civil Aviation 2013. Conference Proceedings. Brno, CERM, pp. 16-21.
4. Dvořák, P., Müllerová, J., Bartaloš, T., & Brůna, J., 2015. Unmanned aerial vehicles for alien plant species detection and monitoring. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, pp. 83-90.
5. Ehrenfeld, J.G., 2010. Ecosystem consequences of biological invasions. Annual Review of Ecology, Evolution and Systematics 41, pp. 59-80.
6. European Commission, 2008. Towards an EU strategy on invasive species. COM, 789, EC, Brussels.
7. Huang Ch. & Asner G.P., 2009. Applications of remote sensing to alien invasive plant studies. Sensors 9, pp. 4869-4889.
8. Hulme, P.E., Pyšek, P., Nentwig, W. & Vilà, M., 2009. Will threat of biological invasions unite the European Union? Science 324. pp. 40-41.
9. Jensen, J.R., 2004. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd ed. Prentice Hall, London.
10. Jones D., Pike S., Thomas M. & Murphy D., 2011. Object-based image analysis for detection of Japanese Knotweed s.l. taxa (Polygonaceae) in Wales (UK). Remote Sensing 3, pp. 319-342.
11. Laliberte, A.S., Rango, A., Havstad, K.M., Paris, J.F., Beck, R.F., McNeely, R., Mathieu, R., Freeman, C, Aryal, J., 2004. Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico. Remote Sensing of Environment 93, pp. 198-210.
12. Maheu-Giroux M. & de Blois S., 2004. Mapping the invasive species Phragmites australis in linear wetland corridors. Aquatic Botany 83, pp. 310-320.
13. Müllerová J., Pyšek P., Jarošík V. & Pergl J., 2005. Aerial photographs as a tool for assessing the regional dynamics of the invasive plant species Heracleum mantegazzianum. Journal of Applied Ecology 42, pp. 1-12.
14. Müllerová J., Pergl J. & Pyšek P., 2013, Remote sensing as a tool for monitoring plant invasions: testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed). International Journal of Applied Earth Observation and Geoinformation 25, pp. 55-65.
15. Somodi I., Čarni A., Ribeiro D. & Podobnikar T., 2012. Recognition of the invasive species Robinia pseudacacia from combined remote sensing and GIS sources. Conserv. Biol. 150, pp. 59-67.
16. Vilà M. & Ibáñez I., 2011. Plant invasions in the landscape. Landscape Ecology 26, pp. 461-472.
17. Westboy, M. J., Brasington, J., Glasser, N.F., Hambrey, M. J. & Reynolds, J. M., 2012. 'Structure-from-Motion' photogrammetry. A low-cost, effective tool for geoscience applications. Geomorphology 179, pp. 300-314.