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biodiversity monitoring system driven by remote sensing. Progress in Physical Geography,
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europa.eu/publications/alps-climate-change-and-adaptation-2009
Ellmauer, T. (2005). Entwicklung Von Kriterien, Indikatoren Und Schwellenwerten Zur
Beurteilung Des Erhaltungszustandes Der Natura 2000-Schutzgu ¨ter. Band 3:
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from Bundesministerium f. Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft und der
Umweltbundesamt GmbH, http://www.umweltbundesamt.at/fileadmin/site/umweltthemen/
naturschutz/Berichte_GEZ/Band_3_FFH-Lebensraumtypen.pdf
Fo ¨rster, M., & Kleinschmit, B. (2008). Object-based classification of QuickBird data using
ancillary information for the detection of forest types and NATURA 2000 habitats. In
T. Blaschke, S. Lang, & G. Hay (Eds.), Object-based image analysis (pp. 275–290). Berlin:
Springer.
Fo ¨rster, M., Frick, A., Walentowski, H., & Kleinschmit, B. (2008). Approaches to utilising
Quickbird-data for the monitoring of NATURA 2000 habitats. Community Ecology, 9(2),
155–168.
Fo ¨rster, M., Kass, S., Neubert, M., Sienkiwicz, J., Sonnenschein, R., Wagner, I., & Zebisch,
M. (2010). Combined report on list of possible indicators and pressures, guidelines for
monitoring and proposal of robust indicators for Alpine Areas, HABIT-CHANGE Output
4.1.1 + 4.3.7. + 4.3.8. Retrieved March 2013, from HABIT-CHANGE, http://www.habitchange.eu/index.php?id¼33
Gao, B. (1996). NDWI – a normalized difference water index for remote sensing of vegetation
liquid water from space. Remote Sensing of Environment, 58(3), 257–266.
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural features for image classification.
IEEE transactions on systems. Man and Cybernetics, 3(6), 620–621.
Karatzoglou, A., Meyer, D., & Hornik, K. (2005). Support vector machines in R. Retrieved July
20, 2012, form 21. Department of Statistics and Mathematics, WU Vienna University of
Economics and Business, http://epub.wu.ac.at/1500/
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Conservation, 13, 185–196.
Lengyel, S., De ´ri, E., Varga, Z., Horva ´th, R., To ´thme ´re ´sz, B., Henry, P. Y., Kobler, A., Kutnar, L.,
Babij, V., Seliskar, A., Christia, C., Papastergiadou, E., Gruber, B., & Henle, K. (2008).
Habitat monitoring in Europe: A description of current practices. Biodiversity and Conservation, 17, 3327–3339.
Papastergiadou, E. S., Retalis, A., Kalliris, P., & Georgiadis, T. (2007). Land use changes and
associated environmental impacts on the mediterranean shallow lake Stymfalia, Greece.
Hydrobiologia, 584, 361–372.
Polastre, J., Szewczyk, R., Mainwaring, A., Culler, D., & Anderson, J. (2004). Analysis of wireless
sensor networks for habitat monitoring. In C. S. Raghavendra, K. M. Sivalingam, & T. Znati
(Eds.), Wireless sensor networks (pp. 399–423). New York: Springer US.
Rocchini, D., Foody, G., Nagendra, H., Ricotta, C., Anand, M., He, K., Amici, V., Kleinschmit, B.,
Fo ¨rster, M., Schmidtlein, S., Feilhauer, H., Ghisla, A., Metz, M., & Neteler, M. (2013).
Uncertainty in ecosystem mapping by remote sensing. Computers and Geoscience, 50,
128–135.
Schmidt, A. (2012). Conversion of a remote sensed vegetation classification to a habitat map –
Comparing a spatial kernel and an object-based approach (Unpublished diploma thesis).
Schuster, C., Fo ¨rster, M., & Kleinschmit, B. (2012). Testing the red edge channel for improving
land-use classifications based on high-resolution multi-spectral satellite data. International
Journal of Remote Sensing, 33, 5583–5599.
112
M. Fo ¨rster et al.
biodiversity monitoring system driven by remote sensing. Progress in Physical Geography,
31, 235–260.
EEA. (2009). Regional climate change and adaptation – the Alps facing the challenge of changing
water resources. Retrieved June 2012, from European Environment Agency, http://www.eea.
europa.eu/publications/alps-climate-change-and-adaptation-2009
Ellmauer, T. (2005). Entwicklung Von Kriterien, Indikatoren Und Schwellenwerten Zur
Beurteilung Des Erhaltungszustandes Der Natura 2000-Schutzgu ¨ter. Band 3:
Lebensraumtypen des Anhangs I der Fauna-Flora-Habitat-Richtlinie. Retrieved June 2012,
from Bundesministerium f. Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft und der
Umweltbundesamt GmbH, http://www.umweltbundesamt.at/fileadmin/site/umweltthemen/
naturschutz/Berichte_GEZ/Band_3_FFH-Lebensraumtypen.pdf
Fo ¨rster, M., & Kleinschmit, B. (2008). Object-based classification of QuickBird data using
ancillary information for the detection of forest types and NATURA 2000 habitats. In
T. Blaschke, S. Lang, & G. Hay (Eds.), Object-based image analysis (pp. 275–290). Berlin:
Springer.
Fo ¨rster, M., Frick, A., Walentowski, H., & Kleinschmit, B. (2008). Approaches to utilising
Quickbird-data for the monitoring of NATURA 2000 habitats. Community Ecology, 9(2),
155–168.
Fo ¨rster, M., Kass, S., Neubert, M., Sienkiwicz, J., Sonnenschein, R., Wagner, I., & Zebisch,
M. (2010). Combined report on list of possible indicators and pressures, guidelines for
monitoring and proposal of robust indicators for Alpine Areas, HABIT-CHANGE Output
4.1.1 + 4.3.7. + 4.3.8. Retrieved March 2013, from HABIT-CHANGE, http://www.habitchange.eu/index.php?id¼33
Gao, B. (1996). NDWI – a normalized difference water index for remote sensing of vegetation
liquid water from space. Remote Sensing of Environment, 58(3), 257–266.
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural features for image classification.
IEEE transactions on systems. Man and Cybernetics, 3(6), 620–621.
Karatzoglou, A., Meyer, D., & Hornik, K. (2005). Support vector machines in R. Retrieved July
20, 2012, form 21. Department of Statistics and Mathematics, WU Vienna University of
Economics and Business, http://epub.wu.ac.at/1500/
Lang, S., & Langanke, T. (2005). Multiscale GIS tools for site management. Journal for Nature
Conservation, 13, 185–196.
Lengyel, S., De ´ri, E., Varga, Z., Horva ´th, R., To ´thme ´re ´sz, B., Henry, P. Y., Kobler, A., Kutnar, L.,
Babij, V., Seliskar, A., Christia, C., Papastergiadou, E., Gruber, B., & Henle, K. (2008).
Habitat monitoring in Europe: A description of current practices. Biodiversity and Conservation, 17, 3327–3339.
Papastergiadou, E. S., Retalis, A., Kalliris, P., & Georgiadis, T. (2007). Land use changes and
associated environmental impacts on the mediterranean shallow lake Stymfalia, Greece.
Hydrobiologia, 584, 361–372.
Polastre, J., Szewczyk, R., Mainwaring, A., Culler, D., & Anderson, J. (2004). Analysis of wireless
sensor networks for habitat monitoring. In C. S. Raghavendra, K. M. Sivalingam, & T. Znati
(Eds.), Wireless sensor networks (pp. 399–423). New York: Springer US.
Rocchini, D., Foody, G., Nagendra, H., Ricotta, C., Anand, M., He, K., Amici, V., Kleinschmit, B.,
Fo ¨rster, M., Schmidtlein, S., Feilhauer, H., Ghisla, A., Metz, M., & Neteler, M. (2013).
Uncertainty in ecosystem mapping by remote sensing. Computers and Geoscience, 50,
128–135.
Schmidt, A. (2012). Conversion of a remote sensed vegetation classification to a habitat map –
Comparing a spatial kernel and an object-based approach (Unpublished diploma thesis).
Schuster, C., Fo ¨rster, M., & Kleinschmit, B. (2012). Testing the red edge channel for improving
land-use classifications based on high-resolution multi-spectral satellite data. International
Journal of Remote Sensing, 33, 5583–5599.
112
M. Fo ¨rster et al.