Trajectory-based detection of urban expansion using Landsat time series

References

• Burnicki, A. C. 2011. “Spatio-Temporal Errors in Land-Cover Change Analysis: Implications for Accuracy Assessment.” International Journal of Remote Sensing 32 (22): 7487–7512. doi:10.1080/01431161.2010.524674.
   Web of Science ®Google Scholar
• Canty, M. J., and A. A. Nielsen. 2008. “Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-Weighted MAD Transformation.” Remote Sensing of Environment 112 (3): 1025–1036. doi:10.1016/j.rse.2007.07.013.
   Web of Science ®Google Scholar
• Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37 (1): 35–46. doi:10.1016/0034-4257(91)90048-b.
   Web of Science ®Google Scholar
• Congalton, R. G., and K. Green. 1999. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton, FL: CRC Press.
   Google Scholar
• Coulter, L. L., A. S. Hope, D. A. Stow, C. D. Lippitt, and S. J. Lathrop. 2011. “Time–Space Radiometric Normalization of TM/ETM+ Images for Land Cover Change Detection.” International Journal of Remote Sensing 32 (22): 7539–7556. doi:10.1080/01431161.2010.524676.
   Web of Science ®Google Scholar
• Hüttich*, C., M. Herold, C. Schmullius, V. Egorov, and S. A. Bartalev. 2007. “Indicators of Northern Eurasia’s Land‐Cover Change Trends from SPOT‐VEGETATION Time‐Series Analysis 1998–2005.” International Journal of Remote Sensing 28 (18): 4199–4206. doi:10.1080/01431160701442054.
   Web of Science ®Google Scholar
• Kennedy, R. E., W. B. Cohen, and T. A. Schroeder. 2007. “Trajectory-Based Change Detection for Automated Characterization of Forest Disturbance Dynamics.” Remote Sensing of Environment 110 (3): 370–386. doi:10.1016/j.rse.2007.03.010.
   Web of Science ®Google Scholar
• Lambin, E. F., and M. Linderman. 2006. “Time Series of Remote Sensing Data for Land Change Science.” IEEE Transactions on Geoscience and Remote Sensing 44 (7): 1926–1928. doi:10.1109/tgrs.2006.872932.
   Web of Science ®Google Scholar
• Lambin, E. F., and A. H. Strahler. 1994. “Indicators of Land-Cover Change for Change-Vector Analysis in Multitemporal Space at Coarse Spatial Scales.” International Journal of Remote Sensing 15 (10): 2099–2119. doi:10.1080/01431169408954230.
   Web of Science ®Google Scholar
• Lambin, E. F., and A. H. Strahlers. 1994. “Change-Vector Analysis in Multitemporal Space: A Tool to Detect and Categorize Land-Cover Change Processes Using High Temporal-Resolution Satellite Data.” Remote Sensing of Environment 48 (2): 231–244. doi:10.1016/0034-4257(94)90144-9.
   Web of Science ®Google Scholar
• Lawrence, R. L., and W. J. Ripple. 1999. “Calculating Change Curves for Multitemporal Satellite Imagery: Mount St. Helens 1980–1995.” Remote Sensing of Environment 67 (3): 309–319. doi:10.1016/s0034-4257(98)00092-3.
   Web of Science ®Google Scholar
• Lhermitte, S., J. Verbesselt, W. W. Verstraeten, and P. Coppin. 2011. “A Comparison of Time Series Similarity Measures for Classification and Change Detection of Ecosystem Dynamics.” Remote Sensing of Environment 115 (12): 3129–3152. doi:10.1016/j.rse.2011.06.020.
   Web of Science ®Google Scholar
• Liu, H., and Q. Zhou. 2004. “Accuracy Analysis of Remote Sensing Change Detection by Rule-Based Rationality Evaluation with Post-Classification Comparison.” International Journal of Remote Sensing 25 (5): 1037–1050. doi:10.1080/0143116031000150004.
   Web of Science ®Google Scholar
• Lu, D., P. Mausel, E. Brondízio, and E. Moran. 2004. “Change Detection Techniques.” International Journal of Remote Sensing 25 (12): 2365–2401. doi:10.1080/0143116031000139863.
   Web of Science ®Google Scholar
• Mertens, B., and E. F. Lambin. 2000. “Land-Cover-Change Trajectories in Southern Cameroon.” Annals of the Association of American Geographers 90 (3): 467–494.
   Web of Science ®Google Scholar
• Michishita, R., Z. Jiang, and B. Xu. 2012. “Monitoring Two Decades of Urbanization in the Poyang Lake Area, China Through Spectral Unmixing.” Remote Sensing of Environment 117 (1): 3–18. doi:10.1016/j.rse.2011.06.021.
   Web of Science ®Google Scholar
• Nielsen, A. A. 2007. “The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data.” IEEE Transactions on Image Processing 16 (2): 463–478. doi:10.1109/tip.2006.888195.
   PubMed Web of Science ®Google Scholar
• Omuto, C. T. 2011. “A New Approach for Using Time-Series Remote-Sensing Images to Detect Changes in Vegetation Cover and Composition in Drylands: A Case Study of Eastern Kenya.” International Journal of Remote Sensing 32 (21): 6025–6045. doi:10.1080/01431161.2010.499384.
   Web of Science ®Google Scholar
• Paolini, L., F. Grings, J. A. Sobrino, J. C. Jiménez Muñoz, and H. Karszenbaum. 2006. “Radiometric Correction Effects in Landsat Multi‐Date/Multi‐Sensor Change Detection Studies.” International Journal of Remote Sensing 27 (4): 685–704. doi:10.1080/01431160500183057.
   Web of Science ®Google Scholar
• Petit, C., T. Scudder, and E. Lambin. 2001. “Quantifying Processes of Land-Cover Change by Remote Sensing: Resettlement and Rapid Land-Cover Changes in South-Eastern Zambia.” International Journal of Remote Sensing 22 (17): 3435–3456. doi:10.1080/01431160010006881.
   Web of Science ®Google Scholar
• Powell, S. L., W. B. Cohen, Z. Yang, J. D. Pierce, and M. Alberti. 2008. “Quantification of Impervious Surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006.” Remote Sensing of Environment 112 (4): 1895–1908. doi:10.1016/j.rse.2007.09.010.
   Web of Science ®Google Scholar
• Qiao, Y., H. P. Liu, M. Bai, X. D. Wang, and X. L. Zhou. 2010. “Extracting Impervious Surfaces from Multi-Source Satellite Imagery Based on Unified Conceptual Model by Decision Tree Algorithm.” Science China-Technological Sciences 53: 68–74. doi:10.1007/s11431-010-3207-1.
   Web of Science ®Google Scholar
• Ridd, M. K. 1995. “Exploring a V-I-S (Vegetation-Impervious Surface-Soil) Model for Urban Ecosystem Analysis Through Remote Sensing: Comparative Anatomy for Cities†.” International Journal of Remote Sensing 16 (12): 2165–2185. doi:10.1080/01431169508954549.
   Web of Science ®Google Scholar
• Ridd, M. K., and J. Liu. 1998. “A Comparison of Four Algorithms for Change Detection in an Urban Environment.” Remote Sensing of Environment 63 (2): 95–100. doi:10.1016/s0034-4257(97)00112-0.
   Web of Science ®Google Scholar
• Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering. 1973. “Monitoring Vegetation Systems in the Great Plains with ERTS.” In Paper Presented at the Proceedings of the Third ERTS Symposium, Vol. I, 309–317, Washington, DC: NASA SP-351. 
   Google Scholar
• Seto, K. C., and M. Fragkias. 2005. “Quantifying Spatiotemporal Patterns of Urban Land-Use Change in Four Cities of China with Time Series Landscape Metrics.” Landscape Ecology 20 (7): 871–888. doi:10.1007/s10980-005-5238-8.
   Web of Science ®Google Scholar
• Song, Y., and C. Ding. 2009. Smart Urban Growth for China. Cambridge, MA: Lincoln Institute of Land Policy.
   Google Scholar
• United Nations, Department of Economic and Social Affairs, Population Division. 2012. “World Urbanization Prospects: The 2011 Revision.” CD-ROM Edition – Data in digital form (POP/DB/WUP/Rev.2011).
   Google Scholar
• Verbesselt, J., R. Hyndman, G. Newnham, and D. Culvenor. 2010. “Detecting Trend and Seasonal Changes in Satellite Image Time Series.” Remote Sensing of Environment 114 (1): 106–115. doi:10.1016/j.rse.2009.08.014.
   Web of Science ®Google Scholar
• Xu, H. 2006. “Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery.” International Journal of Remote Sensing 27 (14): 3025–3033.
   Web of Science ®Google Scholar
• Xu, H. Q. 2007. “Extraction of Urban Built-up Land Features from Landsat Imagery Using a Thematic-Oriented Index Combination Technique.” Photogrammetric Engineering and Remote Sensing 73 (12): 1381–1391.
   Web of Science ®Google Scholar
• Yuan, F., K. E. Sawaya, B. C. Loeffelholz, and M. E. Bauer. 2005. “Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing.” Remote Sensing of Environment 98 (2–3): 317–328. doi:10.1016/j.rse.2005.08.006.
   Web of Science ®Google Scholar
• Zhou, Q., B. Li, and A. Kurban. 2008. “Trajectory Analysis of Land Cover Change in Arid Environment of China.” International Journal of Remote Sensing 29 (4): 1093–1107. doi:10.1080/01431160701355256.
   Web of Science ®Google Scholar