Using time series segmentation for deriving vegetation phenology indices from MODIS NDVI data

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2010, Pages 202-208

  Chandola, Varun ^a   Hui, Dafeng ^b   Gu, Lianhong ^c   Bhaduri, Budhendra ^a   Vatsavai, Ranga Raju ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b TENNESSEE STATE UNIVERSITY   (United States)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

Segmentation; Time series; Vegetation phenology

Indexed keywords

AMERIFLUX; CARBON CYCLING; DATA SOURCE; DATA-DRIVEN METHODS; GLOBAL COVERAGE; GROUND BASED SENSORS; HIGH TEMPORAL RESOLUTION; MODEL-FITTING APPROACH; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NDVI DATA; NORMALIZED DIFFERENCE VEGETATION INDEX; REMOTE SENSING DATA; SEGMENTATION; SPATIAL SCALE; TEMPORAL RESOLUTION; TIME-SERIES DATA; TIME-SERIES SEGMENTATION; VEGETATION PHENOLOGY;

CLIMATE CHANGE; DATA MINING; DECISION MAKING; ECOLOGY; FORESTRY; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; TIME SERIES;

VEGETATION;

EID: 79951752441     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2010.143     Document Type: Conference Paper

References (46)

1. M. A. White et al., "A global framework for monitoring phenological responses to climate change," Geophysical Research Letters, v. 32, 2005.
2. G. Upadhyay et al., "Derivation of crop phenological parameters using multi-date SPOT-VGT-NDVI data: A case study for punjab," Journal of the Indian Society of Remote Sensing, v. 36, no. 1, pp. 37-50, 2008.
3. F.-W. Badeck et al., "Responses of spring phenology to climate change," New Phytologist, v. 162, no. 2, pp. 295-309, 2004. (Pubitemid 38503699)
4. E. Graham et al., "Public internet-connected cameras used as a cross-continental ground-based plant phenology monitoring system," Global Change Biology, 2010.
5. J. Xin et al., "Mapping crop key phenological stages in the north china plain using noaa time series images," International Journal of Applied Earth Observation and Geoinformation, v. 4, no. 2, pp. 109 - 117, 2002. (Pubitemid 38242226)
6. D. D. Baldocchi et al., "Predicting the onset of net carbon uptake by deciduous forests with soil temperature and climate data: a synthesis of fluxnet data," International Journal of Biometeorology, v. 49, pp. 377-387, 2005. (Pubitemid 41116467)
7. A. D. Richardson et al., "Influence of spring phenology on seasonal and annual carbon balance in two contrasting new england forests," Tree Physiol, v. 29, no. 3, pp. 321-331, 2009.
8. J. D. Aber et al., "Predicting the effects of climate change on water yield and forest production in the Northeastern United States," Climate Research, v. 5, no. 207-222, 1995.
9. J. P. Jenkins et al., "Detecting and predicting spatial and interannual patterns of temperate forest springtime phenology in the eastern U.S." Geophysical Research Letters, v. 29, no. 2201, 2002.
10. T. A. Black et al., "Impact of spring temperature on carbon sequestration by a boreal aspen forest," The Role of Boreal Forests and Forestry in the Global Carbon Budget, 2000.
11. M. Li et al., "Investigating phenological changes using MODIS vegetation indices in deciduous broadleaf forest over continental u.s. during 2000-2008," Ecological Informatics, 2010.
12. A. Richardson et al., "Use of digital webcam images to track spring green-up in a deciduous broadleaf forest," Oecologia, v. 152, pp. 323-334, 2007. (Pubitemid 46714343)
13. G. Deblonde et al., "Measuring leaf area index with the Licor LAI-2000 in pine stands," Ecology, v. 75, no. 5, pp. 1507- 1511, 1994. (Pubitemid 2107604)
14. M. Boschetti et al., "Agro-ecological modelling for monitoring rice productions: contribution of field experiment and multi-temporal eo data," in Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, M. Owe and G. D'Urso, Eds., v. 5976, 2005.
15. M. White et al., "Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006," Global Change Biology, v. 20, no. 10, pp. 2335-2359, 2009.
16. X. Xiao et al., "Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data," Ecological Applications, v. 15, no. 3, pp. 954-969, 2005. (Pubitemid 40802434)
17. X. Xiao et al., "Mapping paddy rice agriculture in south and southeast asia using multi-temporal MODIS images," Remote Sensing of Environment, v. 100, no. 1, pp. 95 - 113, 2006. (Pubitemid 41828108)
18. T. Sakamoto et al., "A crop phenology detection method using time-series MODIS data," Remote Sensing of Environment, v. 96, no. 3-4, pp. 366 - 374, 2005. (Pubitemid 40912437)
19. X. Zhang et al., "Global vegetation phenology from moderate resolution imaging spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements," Journal of Geophysical Research, v. 111, 2006.
20. H. Yan et al., "Modeling gross primary productivity for winter wheat-maize double cropping system using MODIS time series and CO2 eddy flux tower data," Agriculture, Ecosystems and Environment, v. 129, no. 4, pp. 391 - 400, 2009. (Pubitemid 50352802)
21. D. E. Ahl et al., "Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS," Remote Sensing of Environment, v. 104, no. 1, pp. 88 - 95, 2006. (Pubitemid 44262341)
22. K. M. Beurs and G. M. Henebry, "Spatio-temporal statistical methods for modeling land surface phenology," in Phenological Research, I. L. Hudson and M. R. Keatley, Eds. Springer Netherlands, 2010, pp. 177-208.
23. M. A. White et al., "A continental phenology model for monitoring vegetation responses to interannual climatic variability," Global Biogeochemical Cycles, v. 11, pp. 217-234, 1997.
24. H. Balzter et al., "Coupling of vegetation growing season anomalies and fire activity with hemispheric and regionalscale climate patterns in central and east siberia," Journal of Climate, v. 20, no. 15, pp. 3713-3729, 2007. (Pubitemid 47299403)
25. A. Moody and D. M. Johnson, "Land-surface phenologies from avhrr using the discrete fourier transform," Remote Sensing of Environment, v. 75, no. 3, pp. 305 - 323, 2001. (Pubitemid 34608912)
26. S. Archibald and R. Scholes, "Leaf green-up in a semiarid african savanna - separating tree and grass responses to environmental cues," Journal of Vegetation Science, v. 18, no. 4, pp. 583-594, 2007. (Pubitemid 46883248)
27. P. Jonsson and L. Eklundh, "Seasonality extraction by function fitting to time-series of satellite sensor data," Geoscience and Remote Sensing, IEEE Transactions on, v. 40, no. 8, pp. 1824 - 1832, aug 2002. (Pubitemid 35170402)
28. K. M. Beurs and G. M. Henebry, "A statistical framework for the analysis of long image time series," International Journal of Remote Sensing, v. 26, no. 8, pp. 1551-1573, 2005. (Pubitemid 40757999)
29. L. Gu et al., "Characterizing the seasonal dynamics of plant community photosynthesis across a range of vegetation types," in Phenology of Ecosystem Processes, A. Noormets, Ed. Springer New York, 2009, pp. 35-58.
30. B. Bradley and J. Mustard, "Comparison of phenology trends by land cover class : a case study in the great basin, USA," Global Change Biology, v. 14, no. 2, pp. 334-346, 2008.
31. G. Jun et al., "Spatially adaptive classification and active learning of multispectral data with gaussian processes," in ICDMW'09, 2009, pp. 597-603.
32. S. Boriah et al., "Land cover change detection: a case study," in Proceeding of the 14th KDD, 2008, pp. 857-865.
33. R. R. Vatsavai, "Phenological event detection from multitemporal image data," in SensorKDD'09: Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data. New York, NY, USA: ACM, 2009, pp. 49-55.
34. V. Chandola and R. R. Vatsavai, "Scalable time series change detection for biomass monitoring using gaussian process," in Proceeding of the NASA Conference on Intelligent Data Understanding, 2010.
35. E. Keogh et al., "An online algorithm for segmenting time series," in ICDM 2001: Proceedings of the first IEEE International Conference on Data Mining, 2001, pp. 289-296.
36. D. M. Hawkins, "Point estimation of the parameters of piecewise regression models," Applied Statistics, v. 25, no. 1, pp. 51-57, 1976.
37. J. Liu et al., "On segmented multivariate regression," Statistica Sinica, v. 7, pp. 497-526, 1997. (Pubitemid 127084826)
38. V. Guralnik and J. Srivastava, "Event detection from time series data," in KDD'99, 1999, pp. 33-42.
39. M. Sharifzadeh et al., "Change detection in time series data using wavelet footprints," Advances in Spatial and Temporal Databases, pp. 127-144, 2005. (Pubitemid 41433162)
40. T. Ogden and E. Parzen, "Change-point approach to data analytic wavelet thresholding," Statistics and Computing, v. 6, no. 2, pp. 93-99, 1996. (Pubitemid 126724246)
41. D. M. Hawkins, "Fitting multiple change-point models to data," Computational Statistics & Data Analysis, v. 37, no. 3, pp. 323-341, 2001. (Pubitemid 32931691)
42. D. Papale and A. Valentini, "A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization," Global Change Biology, v. 9, pp. 525-535, 2003. (Pubitemid 36536968)
43. M. Reichstein et al., "On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm," Global Change Biology, v. 11, no. 9, pp. 1424-1439, 2005. (Pubitemid 43898766)
44. A. Savitzky and M. J. E. Golay, "Smoothing and differentiation of data by simplified least squares procedures," Analytical Chemistry, v. 36, pp. 1627-1639, 1964.
45. S. Studer et al., "A comparative study of satellite and groundbased phenology," International Journal of Biometeorology, v. 51, pp. 405-414, 2007. (Pubitemid 46675241)
46. J. Verbesselt et al., "Detecting trend and seasonal changes in satellite image time series," Remote Sensing of Environment, v. 114, no. 1, pp. 106 - 115, 2010.