707 
In: Wagner W„ Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010,1 APRS, Vol. XXXVIII, Part 7B 
other regions of Canada, the similar analysis needs to be 
conducted in order to determine if medium spatial resolution of 
EO data is efficient for transitional land mapping. 
The current step is to identify land cover (biomass) classes and 
to map its spatial distribution as a potential feedstock for 
bioenergy production. The next step is, through analyzing 
multi-year time-series of MODIS, to identify the transitional 
lands that are potentially most sensitive to climate and market 
conditions, and therefore most likely to become available for 
bioenergy cropping when these environments change which is 
underway now. 
REFERENCES 
Agriculture and Agri-Food Canada, 2008. Land Cover. 
http://www4.agr.gc.ca/AAFC-AAC/display- 
afficher.do?id=l 227635802316&lang=eng 
Hong G., A, Zhang, F. Zhou, L. Townley-Smith, B. Brisco, I. 
Olthof. 2010. Biomass type identification potential of Radarsat- 
2 and MODIS images for the Canadian prairies. Submitted to 
Canadian Journal of Remote Sensing. 2010. 
Jonsson, P. and Eklundh, L. 2003. Seasonality extraction from 
satellite sensor data. In Frontiers of Remote Sensing 
Information Processing, edited by Chen, C.H. World Scientific 
Publishing, pp 487-500. 
Luo, Y, A. P. Trishchenko, K. V. Khlopenkov, 2008. 
Developing clear-sky, cloud and cloud shadow mask for 
producing clear-sky composites at 250-meter spatial resolution 
for the seven MODIS land bands over Canada and North 
America. Remote Sensing of Environment, Volume 112, Issue 
12, 15 December 2008, pp 4167-4185. 
Keane R. E., G. J. Cary, I. D. Davies, M. D. Flannigan, R. H. 
Gardner, S. Lavorel, J. M. Lenihan, C. Li, T. S. Rupp. 2004. A 
classification of landscape fire succession models: spatial 
simulations of fire and vegetation dynamics. Ecological 
Modelling, 179 (2004) pp.3-27. 
Pal, M. and Mather, P.M. 2003. An assessment of the 
effectiveness of decision tree methods for land cover 
classification. Remote Sens. ofEnv., 86:554-565. 
Salomonson V.V., W.L. Barnes, P.W. Maymon, H.E. 
Montgomery and H. Ostrow, 1989. MODIS: Advanced facility 
instrument for studies of the earth as a system, IEEE 
Transactions on Geoscience Remote Sensing 27 (2) (1989), pp. 
145-153. 
Zhou, F., A. Zhang, G. Hong, L. Sun, 2009. NDVI derived 
vegetation phenology for land use change investigation. Oral 
presentation at The Second Conference on Earth Observation 
for Global Changes (EOGC2009) in Chengdu, China, 25-29 
May 2009. 
Legend 
■ Water Bodies 
■ Developed 
Shrubland 
■ Wetland 
■ *• Grassland 
• Cropland 
Perennial 
■ Coniferous Forest 
• Deciduous Forest 
W Mixed Forest 
la 
lb 
Figure 1. Land cover maps of Saskatchewan in 2000 
la) Land cover circa 2000 (30m spatial resolution) 
lb) Land cover map generated by using MODIS data (250m spatial resolution)