Phenology-driven land cover classification and trend analysis based on long-term remote sensing image series

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 4, 2014, Pages 1142-1156

  Xue, Zhaohui ^a   Du, Peijun ^a   Feng, Li ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Breaks for additive seasonal and trend (BFAST); land cover classification; Moderate Resolution Imaging Spectrometer Normalized Difference Vegetation Index Enhanced Vegetation Index (MODIS NDVI EVI); phenology; remote sensing; time series

Indexed keywords

IMAGE RECONSTRUCTION; RADIOMETERS; REMOTE SENSING; SPECTROMETERS; SUPPORT VECTOR MACHINES; TIME SERIES;

BREAKS FOR ADDITIVE SEASONAL AND TREND (BFAST); CLASSIFICATION ACCURACY; ENHANCED VEGETATION INDEX; LAND COVER CLASSIFICATION; MODERATE RESOLUTION IMAGING SPECTROMETERS; NORMALIZED DIFFERENCE VEGETATION INDEX; PHENOLOGY; REMOTELY SENSED IMAGES;

BIOLOGY;

ACCURACY ASSESSMENT; CLASSIFICATION; DATA INTERPRETATION; LAND COVER; LAND USE CHANGE; MODIS; NDVI; PHENOLOGY; REMOTE SENSING; TIME SERIES ANALYSIS; TREND ANALYSIS;

EID: 84899966677     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2294956     Document Type: Article

References (43)

1. C. Funk and M. E. Budde, "Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe," Remote Sens. Environ., vol. 113, no. 1, pp. 115-125, Jan. 2009.
2. J. Verbesselt, R. Hyndman, G. Newnham, and D. Culvenor, "Detecting trend and seasonal changes in satellite image time series," Remote Sens. Environ., vol. 114, no. 1, pp. 106-115, Jan. 2010.
3. J. E. Vogelmann, G. Xian, C. Homer, and B. Tolk, "Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems," Remote Sens. Environ., vol. 122, pp. 92-105, Jul. 2012.
4. R. Fensholt, K. Rasmussen, T. T. Nielsen, and C. Mbow, "Evaluation of earth observation based long term vegetation trends-Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data," Remote Sens. Environ., vol. 113, no. 9, pp. 1886-1898, Sep. 2009.
5. R. de Jong, S. de Bruin, A. de Wit, M. E. Schaepman, and D. L. Dent, "Analysis of monotonic greening and browning trends from global NDVI time-series," Remote Sens. Environ., vol. 115, no. 2, pp. 692-702, Feb. 2011.
6. R. Fensholt and K. Rasmussen, "Analysis of trends in the Sahelian 'rain-use efficiency' using GIMMS NDVI, RFE and GPCP rainfall data," Remote Sens. Environ., vol. 115, no. 2, pp. 438-451, Feb. 2011.
7. R. Fensholt and S. R. Proud, "Evaluation of earth observation based global long term vegetation trends-Comparing GIMMS and MODIS global NDVI time series," Remote Sens. Environ., vol. 119, pp. 131-147, Apr. 2012.
8. B. Demir, F. Bovolo, and L. Bruzzone, "Updating land-cover maps by classification of image time series:Anovel change-detection-driven transfer learning approach," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 300-312, Jan. 2013.
9. Y. Yan, B. Zhao, J. Q. Chen, H. Q. Guo, Y. J. Gu, Q. H. Wu et al., "Closing the carbon budget of estuarine wetlands with tower-based measurements and MODIS time series," Global Change Biol., vol. 14, no. 10, pp. 1690-1702, Oct. 2008. (Pubitemid 351796651)
10. Y. Inoue, Y. Kiyono, H. Asai, Y. Ochiai, J. G. Qi, A. Olioso et al., "Assessing land-use and carbon stock in slash-and-burn ecosystems in tropical mountain of Laos based on time-series satellite images," Int. J. Appl. Earth Observ. Geoinf., vol. 12, no. 4, pp. 287-297, Aug. 2010.
11. T. Lung, M. K. Peters, N. Farwig, K. Bohning-Gaese, and G. Schaab, "Combining long-term land cover time series and field observations for spatially explicit predictions on changes in tropical forest biodiversity," Int. J. Remote Sens., vol. 33, no. 1, pp. 13-40, 2012.
12. J. Wang, J. J. Meng, and Y. L. Cai, "Assessing vegetation dynamics impacted by climate change in the southwestern karst region of China with AVHRR NDVI and AVHRR NPP time-series," Environ. Geol., vol. 54, no. 6, pp. 1185-1195, May 2008. (Pubitemid 351641268)
13. L. Wang, I. Dronova, P. Gong, W. B. Yang, Y. R. Li, and Q. Liu, "A new time series vegetation-water index of phenological-hydrological trait across species and functional types for Poyang Lake wetland ecosystem," Remote Sens. Environ., vol. 125, pp. 49-63, Oct. 2012.
14. C. Potter, P. N. Tan, M. Steinbach, S. Klooster, V. Kumar, R. Myneni et al., "Major disturbance events in terrestrial ecosystems detected using global satellite data sets," Global Change Biol., vol. 9, no. 7, pp. 1005-1021, Jul. 2003. (Pubitemid 36938394)
15. B. Holben, "Characteristics of maximum-value composite images from temporalAVHRRdata," Int. J. Remote Sens., vol. 7, no. 11, pp. 1417-1434, Nov. 1986. (Pubitemid 17480436)
16. J. I. Fisher, J. F. Mustard, and M. A. Vadeboncoeur, "Green leaf phenology at Landsat resolution: Scaling from the field to the satellite," Remote Sens. Environ., vol. 100, no. 2, pp. 265-279, Jan. 2006. (Pubitemid 43083573)
17. J. R. Eastman, F. Sangermano, B. Ghimire, H. L. Zhu, H. Chen, N. Neeti et al., "Seasonal trend analysis of image time series," Int. J. Remote Sens., vol. 30, no. 10, pp. 2721-2726, 2009.
18. J. Verbesselt, R. Hyndman, A. Zeileis, and D. Culvenor, "Phenological change detection while accounting for abrupt and gradual trends in satellite image time series," Remote Sens. Environ., vol. 114, no. 12, pp. 2970-2980, Dec. 2010.
19. J. Verbesselt, A. Zeileis, and M. Herold, "Near real-time disturbance detection using satellite image time series," Remote Sens. Environ., vol. 123, pp. 98-108, Aug. 2012.
20. M. E. Jakubauskas, D. R. Legates, and J. H. Kastens, "Crop identification using harmonic analysis of time-series AVHRR NDVI data," Comput. Electron. Agri., vol. 37, no. 1-3, pp. 127-139, Dec. 2002. (Pubitemid 35456665)
21. S. Lhermitte, J. Verbesselt, I. Jonckheere, K. Nackaerts, J. A. N. van Aardt, W. W. Verstraeten et al., "Hierarchical image segmentation based on similarity of NDVI time series," Remote Sens. Environ., vol. 112, no. 2, pp. 506-521, Feb. 2008.
22. C. Orsenigo and C. Vercellis, "Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification," Pattern Recognit., vol. 43, no. 11, pp. 3787-3794, Nov. 2010.
23. S. Lhermitte, J. Verbesselt, W. W. Verstraeten, and P. Coppin, "A comparison of time series similarity measures for classification and change detection of ecosystem dynamics," Remote Sens. Environ., vol. 115, no. 12, pp. 3129-3152, Dec. 2011.
24. Y. S. Jeong, M. K. Jeong, and O. A. Omitaomu, "Weighted dynamic time warping for time series classification," Pattern Recognit., vol. 44, no. 9, pp. 2231-2240, Sep. 2011.
25. F. Petitjean, J. Inglada, and P. Gancarski, "Satellite image time series analysis under time warping," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 8, pp. 3081-3095, Aug. 2012.
26. A. Douzal-Chouakria and C. Amblard, "Classification trees for time series," Pattern Recognit., vol. 45, no. 3, pp. 1076-1091, Mar. 2012.
27. L. Breiman, "Bagging predictors," Mach. Learn., vol. 24, no. 2, pp. 123-140, Aug. 1996. (Pubitemid 126724382)
28. T. K. Ho, "The random subspace method for constructing decision forests," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 8, pp. 832-844, Aug. 1998. (Pubitemid 128741345)
29. J. J. Rodriguez, L. I. Kuncheva, and C. J. Alonso, "Rotation forest: A new classifier ensemble method," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 10, pp. 1619-1630, Oct. 2006. (Pubitemid 46405081)
30. A. Liaw and W. Matthew, "Classification and regression by random Forest," R News, vol. 2, no. 3, pp. 18-22, 2002.
31. C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, Sep. 1995.
32. Y. Julien and J. A. Sobrino, "Comparison of cloud-reconstruction methods for time series of composite NDVI data," Remote Sens. Environ., vol. 114, no. 3, pp. 618-625, Mar. 2010.
33. A. Zeileis, "A unified approach to structural change tests based on ML scores, F statistics, and OLS residuals," Econ. Rev., vol. 24, no. 4, pp. 445-466, 2005. (Pubitemid 41818690)
34. G. F. Hughes, "On mean accuracy of statistical pattern recognizers," IEEE Trans. Inf. Theory, vol. 14, no. 1, pp. 55-63, Jan. 1968.
35. P. Jonsson and L. Eklundh, "Seasonality extraction by function fitting to time-series of satellite sensor data," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 8, pp. 1824-1832, Aug. 2002. (Pubitemid 35170402)
36. I. H. Witten, E. Frank, and M. A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed., San Mateo, CA, USA: Morgan Kaufmann, 2005.
37. Z.-H. Zhou, Ensemble Methods: Foundations and Algorithms, Boca Raton, FL, USA: Chapman & Hall/CRC, 2012.
38. M. A. White, K. M. de Beurs, K. Didan, D. W. Inouye, A. D. Richardson, O. P. Jensen et al., "Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006," Global Change Biol., vol. 15, no. 10, pp. 2335-2359, Oct. 2009.
39. G. Hmimina, E. Dufrene, J.-Y. Pontailler, N. Delpierre, M. Aubinet, B. Caquet et al., "Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements," Remote Sens. Environ., vol. 132, pp. 145-158, May 2013.
40. B. D. Wardlow, S. L. Egbert, and J. H. Kastens, "Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains," Remote Sens. Environ., vol. 108, no. 3, pp. 290-310, Jun. 2007. (Pubitemid 46669605)
41. A. Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira, "Overview of the radiometric and biophysical performance of the MODIS vegetation indices," Remote Sens. Environ., vol. 83, no. 1-2, pp. 195-213, Nov. 2002. (Pubitemid 35307469)
42. J. Chen, P. Jonsson, M. Tamura, Z. H. Gu, B. Matsushita, and L. Eklundh, "A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter," Remote Sens. Environ., vol. 91, no. 3-4, pp. 332-344, Jun. 2004. (Pubitemid 38791552)
43. P. J. Du, K. Tan, and X. S. Xia, "Wavelet SVM in reproducing kernel Hilbert space for hyperspectral remote sensing image classification," Opt. Commun., vol. 283, no. 24, pp. 4978-4984, Dec. 2010.