Short-Interval Monitoring of Land Use and Land Cover Change Using a Time Series of RADARSAT-2 Polarimetric SAR Images - Space-Time Integration in Geography and GIScience - page 364

Qi, Z., Yeh, A. G.-O., Li, X., & Lin, Z. (2012). A novel algorithm for land use and land cover
classification using RADARSAT-2 polarimetric SAR data. Remote Sensing of Environment,
118 , 21-39.
Qi, Z., & Yeh, A. G. O. (2013). Integrating change vector analysis, post-classification comparison,
and object-oriented image analysis for land use and land cover change detection using
RADARSAT-2 polarimetric SAR images. In S. Timpf & P. Laube (Eds.), Advances in spatial
data handling (pp. 107-123). Berlin: Springer.
Quarmby, N. A., & Cushnie, J. L. (1989). Monitoring urban land cover changes at the urban fringe
from spot Hrv imagery in southeast England. International Journal of Remote Sensing, 10 (6),
953-963.
Saatchi, S. S., Soares, J. V., & Alves, D. S. (1997). Mapping deforestation and land use in Amazon
rainforest by using SIR-C imagery. Remote Sensing of Environment, 59 (2), 191-202.
Seto, K. C., Woodcock, C. E., Song, C., Huang, X., Lu, J., & Kaufmann, R. K. (2002). Monitoring
land-use change in the Pearl River Delta using Landsat TM. International Journal of Remote
Sensing, 23 (10), 1985-2004.
Shen, G., Guo, H., & Liao, J. (2007). Change vector analysis method for inundation change
detection using multi-temporal multi-polarized SAR images. In Proceedings of SPIE, Wuhan,
China.
Shimoni, M., Borghys, D., Heremans, R., Perneel, C., & Acheroy, M. (2009). Fusion of PolSAR
and PolInSAR data for land cover classification. International Journal of Applied Earth
Observations and Geoinformation, 11 (3), 169-180.
Silapaswan, C. S., Verbyla, D. L., & McGuire, A. D. (2001). Land cover change on the Seward
Peninsula: The use of remote sensing to evaluate the potential influences of climate warming
on historical vegetation dynamics. Canadian Journal of Remote Sensing, 27 (5), 542-554.
Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International
Journal of Remote Sensing, 10 (6), 989-1003.
Sonmez, N. K., Onur, I., Sari, M., & Maktav, D. (2009). Monitoring changes in land cover/use by
CORINE methodology using aerial photographs and IKONOS satellite images: A case study
for Kemer, Antalya, Turkey. International Journal of Remote Sensing, 30 (7), 1771-1778.
Stefanov, W. L., Ramsey, M. S., & Christensen, P. R. (2001). Monitoring urban land cover change:
An expert system approach to land cover classification of semiarid to arid urban centers. Remote
Sensing of Environment, 77 (2), 173-185.
Story, M., & Congalton, R. G. (1986). Accuracy assessment - A user's perspective. Photogram-
metric Engineering and Remote Sensing, 52 (3), 397-399.
Ulaby, F. T., Kouyate, F., Brisco, B., & Williams, T. H. L. (1986). Textural information in SAR
images. IEEE Transactions on Geoscience and Remote Sensing, 24 (2), 235-245.
Weismiller, R. A., Kristof, S. J., Scholz, D. K., Anuta, P. E., & Momin, S. A. (1977). Change
detection in coastal zone environments. Photogrammetric Engineering and Remote Sensing,
43 (12), 1533-1539.
Wilson, E. H., & Sader, S. A. (2002). Detection of forest harvest type using multiple dates of
Landsat TM imagery. Remote Sensing of Environment, 80 (3), 385-396.
Witten, I. H., Frank, E., & Hall, M. A. (2011). Data mining: Practical machine learning tools and
techniques . Burlington: Morgan Kaufmann.
Yeh, A. G. O., & Li, X. (1996). Urban growth management in the Pearl River Delta - An integrated
remote sensing and GIS approach. ITC Journal, 1 , 77-86.