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VEGETATION CHANGE DETECTION IN LANDSAT TM TIME SERIES USING SINGULAR SPECTRUM ANALYSIS AND REGULAR FOREST INVENTORY DATA
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Abd El-Kawy, O. R., Rød, J. K., Ismail, H. A., & Suliman, A. S. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography, 31(2), pp. 483-494, 2011.
Lu, D., Mausel, P., Brondizio, E., & Moran, E. Change detection techniques. International journal of remote sensing, 25(12), pp. 2365 -2401, 2004.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. Review Article Digital change detection methods in ecosystem monitoring: a review. International journal of remote sensing, 25(9), pp. 1565-1596, 2004.
Kandasamy, S., Baret, F., Verger, A., Neveux, P., & Weiss, M. A comparison of methods for smoothing and gap filling time series of remote sensing observations – application to MODIS LAI products. Biogeosciences, 10(6), pp. 4055-4071, 2013.
Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., & Reichstein, M. Trend change detection in NDVI time series: effects of inter-annual variability and methodology. Remote Sensing , 5(5), pp. 2113-2144, 2013.
Elmore, A. J., Mustard, J. F., Manning, S. J., & Lobell, D. B. Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. Remote sensing of environment , 73 (1), pp. 87-102, 2000.
Sonnenschein, R., Kuemmerle, T., Udelhoven, T., Stellmes, M., & Hostert, P. Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate. Remote Sensing of Environment, 115(6), pp. 1408-1420, 2011.
Chang, C. I., & Plaza, A. A fast iterative algorithm for implementation of pixel purity index. Geoscience and Remote Sensing Letters, IEEE, 3(1), pp. 63-67, 2006.
Golyandina, N., Nekrutkin, V., & Zhigljavsky, A. A. Analysis of time series structure: SSA and related techniques. CRC Press, 2001.
Abd El-Kawy, O. R., Rød, J. K., Ismail, H. A., & Suliman, A. S. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography, 31(2), pp. 483-494, 2011.
Lu, D., Mausel, P., Brondizio, E., & Moran, E. Change detection techniques. International journal of remote sensing, 25(12), pp. 2365 -2401, 2004.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. Review Article Digital change detection methods in ecosystem monitoring: a review. International journal of remote sensing, 25(9), pp. 1565-1596, 2004.
Kandasamy, S., Baret, F., Verger, A., Neveux, P., & Weiss, M. A comparison of methods for smoothing and gap filling time series of remote sensing observations – application to MODIS LAI products. Biogeosciences, 10(6), pp. 4055-4071, 2013.
Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., & Reichstein, M. Trend change detection in NDVI time series: effects of inter-annual variability and methodology. Remote Sensing , 5(5), pp. 2113-2144, 2013.
Elmore, A. J., Mustard, J. F., Manning, S. J., & Lobell, D. B. Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. Remote sensing of environment , 73 (1), pp. 87-102, 2000.
Sonnenschein, R., Kuemmerle, T., Udelhoven, T., Stellmes, M., & Hostert, P. Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate. Remote Sensing of Environment, 115(6), pp. 1408-1420, 2011.
Chang, C. I., & Plaza, A. A fast iterative algorithm for implementation of pixel purity index. Geoscience and Remote Sensing Letters, IEEE, 3(1), pp. 63-67, 2006.
Golyandina, N., Nekrutkin, V., & Zhigljavsky, A. A. Analysis of time series structure: SSA and related techniques. CRC Press, 2001.
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