Browse > Article
http://dx.doi.org/10.5762/KAIS.2017.18.9.24

A noise reduction method for MODIS NDVI time series data based on statistical properties of NDVI temporal dynamics  

Jung, Myunghee (Department of Digital Media, Anyang University)
Jang, Seok-Woo (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.9, 2017 , pp. 24-33 More about this Journal
Abstract
Multitemporal MODIS vegetation index (VI) data are widely used in vegetation monitoring research into environmental and climate change, since they provide a profile of vegetation activity. However, MODIS data inevitably contain disturbances caused by the presence of clouds, atmospheric variability, and instrument problems, which impede the analysis of the NDVI time series data and limit its application utility. For this reason, preprocessing to reduce the noise and reconstruct high-quality temporal data streams is required for VI analysis. In this study, a data reconstruction method for MODIS NDVI is proposed to restore bad or missing data based on the statistical properties of the oscillations in the NDVI temporal dynamics. The first derivatives enable us to examine the monotonic properties of a function in the data stream and to detect anomalous changes, such as sudden spikes and drops. In this approach, only noisy data are corrected, while the other data are left intact to preserve the detailed temporal dynamics for further VI analysis. The proposed method was successfully tested and evaluated with simulated data and NDVI time series data covering Baekdu Mountain, located in the northern part of North Korea, over the period of interest from 2006 to 2012. The results show that it can be effectively employed as a preprocessing method for data reconstruction in MODIS NDVI analysis.
Keywords
Data reconstruction; Noise reduction; MODIS NDVI; Time series data; Vegetation index;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Beck, P. S., Atzberger C., Hogda, K. A., "Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI", Remote Sensing of Environment, vol. 100, pp. 321-334, 2006. DOI: https://doi.org/10.1016/j.rse.2005.10.021   DOI
2 Bloomfield, P. 1976. Fourier Analysis of Time Series: An Introduction, John Wiley & Sons, New York.
3 Bruce, L. M., Mathur, A., Byrd, J. D., "Denoising and wavelet based feature extraction of MODIS multi-temporal vegetation signatures", Geoscience and Remote Sensing, vol. 43, no. 1, pp. 67-77, 2006. DOI: https://doi.org/10.2747/1548-1603.43.1.67   DOI
4 Chen, J., Jonsson P., and Tamura, M. A., " simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter.", Remote Sensing of Environment, vol. 91, pp. 332-344, 2004. DOI: https://doi.org/10.1016/j.rse.2004.03.014   DOI
5 Cihlar, J., "Identification of contaminated pixels in AVHRR composite images for studies of land biosphere", Remote Sensing of Environment, vol. 56, pp. 149-153, 1996. DOI: https://doi.org/10.1016/0034-4257(95)00190-5   DOI
6 Davis, J. C. Statistics and Data Analysis in Geology, 2nd Edition, J. Wiley and Sons, New York, 1986.
7 Dijk, A. V., Callis, S. L., Sakamoto, C. M., Decker, W.L., "Smoothing vegetation index profiles: an alternative method for reducing radiometric disturbance in NOAA/AVHRR data", Photogrammetric Engineering & Remote Sensing, vol. 53, pp. 1059-1067, 1987.
8 Gu, J., Li, X., Huang, C., Okin, G. S., " Simplified data assimilation method for reconstructing time-series MODIS NDVI data", Advanced Space Research, vol. 44, pp. 501-509, 2009. DOI: https://doi.org/10.1016/j.asr.2009.05.009   DOI
9 Hird, J. N., and McDermid, G. J., "Noise reduction of NDVI time series: An empirical comparison of selected techniques", Remote Sensing of Environment, vol. 113, pp. 248-258, 2009. DOI: https://doi.org/10.1016/j.rse.2008.09.003   DOI
10 Ki Tae Yoon, Eel Hea Cho, Jooyoup Lee, "A Study on Gesture Interface through User Experience", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology vol. 7, no. 6, pp. 839-849, June 2017. DOI: http://dx.doi.org/10.14257/ajmahs.2017.06.60
11 Hyung Woo Park, Myung-Jin Bae, "A Study on the Acoustic Transfer Characteristics using Fingers", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 5, pp. 837-844, May 2017. DOI: http://dx.doi.org/10.14257/ajmahs.2017.05.06
12 Sang-Hyun Kim, Gil-Ja So, "Block Based Extraction of Excessive Disparity Regions Using Automatic Binarization", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 5, no. 4, pp. 91-100, August 2015, DOI: http://dx.doi.org/10.14257/AJMAHS.2015.08.56
13 Young-Jung Yu, Seong-Ho Park, Sang-Ho Moon, Yeon-Jun Choi, "A Study on Face Contour Line Extraction using Adaptive Skin Color", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 3, pp. 383-391, March 2017. DOI: http://dx.doi.org/10.14257/AJMAHS.2017.03.66   DOI
14 Ji-Hun Lee, Doo-Hyun Choi, "Palm Lines Extraction on a High Resolution Image using Mosaic-like Metho", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 6, no. 3, pp. 9-17, March 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.03.07
15 Holben, B. N., "Characteristic of maximum value composite images for temporal AVHRR data. International Journal of Remote Sensing, vol. 7, no. 11, pp. 1417-1434, 1986. DOI: https://doi.org/10.1080/01431168608948945   DOI
16 Jonsson, P., Eklundh, L., "Seasonality extraction by function fitting to time series of satellite sensor data", IEEE Trans. Geoscience and Remote Sensing, vol. 40, no. 8, pp. 1824-1832, 2002. DOI: https://doi.org/10.1109/TGRS.2002.802519   DOI
17 Huete, A. R., Didan K., Miura, T., Rodrigueza, E.P., Gaoa, X., Ferreira, L.G., "Overview of the radiometric and biophysical performance of the MODIS vegetation indices", Remote Sensing of Environment, vol. 83, pp. 195-213, 2002. DOI: https://doi.org/10.1016/S0034-4257(02)00096-2   DOI
18 Huete, A. R., Liu, H., "An error and sensitivity analysis of the atmospheric and soil-correcting variants of the NDVI for the MODIS-EOS", IEEE Trans. Geoscience and Remote Sensing, vol. 32, no. 4, pp. 897-905, 1994. DOI: https://doi.org/10.1109/36.298018   DOI
19 Jakubauskas, M. E., Legates, D. R., Kastens, J. H. "Harmonic Analysis of Time-Series AVHRR NDVI Data", Photogrammetric Engineering & Remote Sensing, vol. 67, no. 4, pp. 461-470, 2001.
20 Julien, Y. Sobrino, J. A., "Comparison of cloud-reconstruction methods for time series of composite NDVI data.", Remote Sensing of Environment, vol. 114, pp. 618-625, 2010. DOI: https://doi.org/10.1016/j.rse.2009.11.001   DOI
21 Lee, S., "Adaptive reconstruction of NDVI time series with multi-periodic harmonic model. Geoscience and Remote Sensing Symposium (IGARSS), pp. 716-719, 2011. DOI: https://doi.org/10.1109/IGARSS.2011.6049230
22 Lovell, J. L., Graetz, R. D., "Filtering pathfinder AVHRR Land NDVI data for Australia", International Journal of Remote Sensing, vol. 22, no. 13, pp 2649-2654, 2001. DOI: https://doi.org/10.1080/01431160116874   DOI
23 Lu, X., Liu, R., Liu J., Liang, S., "Removal of Noise by Wavelet Method to Generate High Quality Temporal Data of Terrestrial MODIS Products", Photogrammetric Engineering & Remote Sensing, vol. 73, pp. 1129-1139, 2007. DOI: https://doi.org/10.14358/PERS.73.10.1129
24 Roerink, G., Menenti, M., Verhoef, W., "Reconstructing cloudfree NDVI composites using Fourier analysis of time series", International Journal of Remote Sensing, vol. 21, no. 9, pp. 1911-1917, 2000. DOI: https://doi.org/10.1080/014311600209814   DOI
25 Lunetta, R., Knight, J., Ediriwickrema, J., Lyon, J., Worthy, L., "Land-cover change detection using multi-temporal MODIS NDVI data", Remote Sensing of Environment, vol. 105, pp. 142-154, 2006. DOI: https://doi.org/10.1016/j.rse.2006.06.018   DOI
26 Ma, M., Veroustraete, F., "Reconstructing pathfinder AVHRR land NDVI time-series data for the Northwest of China", Advanced Space Research, vol. 37, pp. 835-840, 2006. DOI: https://doi.org/10.1016/j.asr.2005.08.037   DOI
27 Moody, E. G., King, M. D., Platnick, S., "Spatially complete global spectral surface albedos: value-added datasets derived from Terra MODIS land products", IEEE Trans. Geoscience and Remote Sensing, vol. 43, pp. 144-158, 2005. DOI: https://doi.org/10.1109/TGRS.2004.838359   DOI
28 Kun-Ha Suh, Eui-Chul Lee, "Physiological signal extraction based liveness detection method for face recognition system", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 6, no. 3, pp. 51-59, March 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.03.16
29 Kun Ha Suh, Jiyeon Moon, Eui Chul Lee, "Image-based Measuring Heart Rate of Swimmer using Palm", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol.7, no.3, pp. 511-518, March 2017. DOI: http://dx.doi.org/10.14257/AJMAHS.2017.03.25
30 Jae-Gon Yoo, Jong-Bae Kim, "Design and Implementation of Dangerous Driving Monitoring System Using OBD Scanner and Wearable Device", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no.1, pp. 297-30, January 2017. DOI: http://dx.doi.org/10.14257/AJMAHS.2017.01.85   DOI
31 Xiao, X.M., Zhang B., Braswell, Q., "Sensitivity of vegetation indices to atmospheric aerosols: continental-scale observations in Northern Asia", Remote Sensing of Environment, vol. 84, pp. 385-392, 2003. DOI: https://doi.org/10.1016/S0034-4257(02)00129-3   DOI
32 Sellers, P. J., Tucker, C. J., Collatz, G. J., Los, S. O., Justice, C. O., Dazlich, D. A., and Randall, D. A., "A global 1 by 1 NDVI data set for climate studies. Part 2: The generation of global fields of terrestrial biophysical parameters from the NDVI", International Journal of Remote Sensing, vol. 15, no. 17, pp. 3519-3545, 1994. DOI: https://doi.org/10.1080/01431169408954343   DOI
33 Tucker, C. J., "Red and photographic infrared linear combinations for monitoring vegetation", Remote Sensing of Environment, vol. 8, no. 2, pp. 127-150, 1979. DOI: https://doi.org/10.1016/0034-4257(79)90013-0   DOI
34 Viovy, N., Arino, O., Belward, A.S., "The best index slope extraction (BISE): a method for reducing noise in NDVI time series", International Journal of Remote Sensing, vol. 13, no. 8, pp. 1585-1590, 1992. DOI: https://doi.org/10.1080/01431169208904212   DOI
35 Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C., Gao, F., Reed, B. C., Huete, A., "Monitoring vegetation phenology using MODIS', Remote Sensing of Environment, vol. 84 no. 3, pp. 471-475, 2003. DOI: https://doi.org/10.1016/S0034-4257(02)00135-9   DOI