Reconstruction of MODIS NDVI Time Series using Harmonic AN alysis of Time Series algorithm (HANTS)

Authors
H. Zare khormizie 1
S. Z. Hosseini 2
M. H. mokhtari 2
H. R. Ghafarian Malamiri 3
1 MSc Student of Range Management, Department of Watershed & Rangeland Management, College of Natural Resources and Desert, Yazd University, Iran.
2 Assistant Professor, College of Natural Resources and Desert, Yazd University, Yazd, Iran
3 Assistant Professor, Department of Geography, Yazd University, Yazd, Iran

Keywords

Subjects

Ackerman, S. A., K. StrabalaI, W. P. Menzel, R. A. Frey, C. C. Moeller, & L. E. Gumley, (1998) “Discriminating clear sky from clouds with MODIS”, Journal of Geophysical Research, Vol. 103, No. D24, pp. 32141-32157, doi:10.1029/1998JD200032.
Bloomfield, P (2000) Fourier Analysis of Time Series An Introduction. North Carolina State University, Raleigh, North Carolina: John wiley &Sons, IN.
Fourier., J (1818) Note relative aux vibrations des surfaces e´lastiques et au mouvement des ondes. Bulletin des Sciences par Socie´te´ Philomatique, 1, 126- 136.
Ghafarian Malamiri, H, R (2015) Reconstruction of gap-free time series satellite observations of land surface temperature to model spectral soil thermal admittance (Doctoral dissertation), Technische Universiteit Delft, The Netherlands.
Henderson-Sellers, A (1982) “Defogging cloud determination algorithms”. Nature, Vol. 298, Issue. 5873, pp. 419-420, doi: 10.1038/298419a0.
Jia, L., G. Xi, S. Liu, C. Huang, Y. Yan, & G. Liu (2009) “Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland”, Hydrology and Earth System Sciences,Vol. 13, Issue. 10, pp. 1775-1787 doi:10.5194/hess-13-1775-2009.
Jiang, X., D. Wang, L. Tang, J. Hu, & X. Xi (2008) “Analysing the vegetation cover variation of China from AVHRR‐NDVI data”, International Journal of Remote Sensing, Vol. 29, Issue. 17-18, pp. 5301-5311, doi: 10.1080/01431160802036466.
Julien, Y., & J. A. Sobrino (2010) “Comparison of cloud-reconstruction methods for time series of composite NDVI data”, Remote Sensing of Environment, Vol. 114, Issue. 3, pp. 618-625, doi: 10.1016/j.rse.2009.11.001.
Lu, D., P. Mausel, E. Brondizio, & E. Moran (2004) “Change detection techniques”. International Journal of Remote Sensing, Vol. 25, Issue. 12, pp. 2365-2407, doi: 10.1080/0143116031000139863.
Mcnally A. & P. Watts (2003) “A cloud detection algorithm for high-spectralresolution infrared sounders”, Quarterly Journal of the Royal Meteorological Society, Vol. 129, Issue. 595, pp. 3411-3423, doi: 10.1256/qj.02.208.
Menenti, M., S. Azzali, W. Verhoef, & R. van Swol (1993) “Mapping agroecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images” Advances in Space Research
Richard A. F., S. A. Ackerman, Y. Liu, K. I. Strabala, H. Zhang, J. R. Key, & X. Wang (2008) “Cloud Detection with MODIS. Part I:Improvements in the MODIS Cloud Mask for Collection 5”, Journal of atmospheric and oceanic technology, Vol. 25, pp. 1057-1072, doi: 10.1175/2008JTECHA1052.1
Ricker, N (1953) “Wavelet Contraction, Wavelet Expansion, and the Control of Seismic Resolution”. Geophysics, Vol. 18, Issue. 4, pp. 769-792, doi: 10.1190/1.1437927.
Roerink, G.J., M. Menenti, & W. Verhoef (2000) “Reconstructing cloudfree NDVI composites using Fourier analysis of time series”, International Journal of Remote Sensing, Vol. 21, Issue.9, pp. 1911-1917, doi: 10.1080/014311600209814
Kelarestani, K, (2008) “A Study of Spectral Reflection on Wheat Fields in Mashhad Using MODIS Data”. Journal of Science and Technology of Agriculture and Natural Resources, Vol. 12, No. 45, pp. 11-19 [in persian].
Saunders, R.W., & K. T. Kriebel (1988) “An improved method for detecting clear sky and cloudy radiances from AVHRR data”, International Journal of Remote Sensing, Vol. 9, Issue.1, pp. 123 – 150, 10.1080/01431168808954841.
Sellers, P.J., C. J. Tucker, G. J. Collatz, S. O. Los, C. O. Justice, D. A. Dazlich, & D. A. Randall (1994) “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, Issue.17, pp. 3519-3545, doi: 10.1080/01431169408954343.
Simpson, J. J., & J. I. Gobat (1996) “Improved cloud detection for daytime AVHRR scenes over land”, Remote Sensing of Environment, Vol. 55, Issue. 1, pp. 21-49, doi: 10.1016/0034-4257(95)00188-3.
Stowe, L.L., E. P. McClain, R. Carey, P. Pellegrino, G. G. Gutman, P. Davis, C. Long, & S. Hart (1991) “Global distribution of cloud cover derived from NOAA/AVHRR operational satellite data”, Advances in Space Research, Vol. 11, Issue.3, pp. 51-54,
Verhegghen, A., S. Bontemps, & P. Defourny (2014) “A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations”, International Journal of Remote Sensing, Vol.35, No.7, pp. 2440-2471, doi: 10.1080/01431161.2014.883105.
Verhoef, W (1996) Application of Harmonic Analysis of NDVI Time Series (HANTS). In S. Azzali & M. Menenti (Eds.), In: Fourier analysis of temporal NDVI in southern Africa and America continent. The Netherlands, DLO Winand Staring Centre, Report 108, pp. 19–24.
Verhoef, W., M. Menenti, & S. Azzali (1996) “Cover A colour composite of NOAAAVHRR- NDVI based on time series analysis (1981-1992)”, International Journal of Remote Sensing, Vol. 17, Issue.2, pp. 231 - 235, doi: 10.1080/01431169608949001.
Wen, J., Z. Su, & Y. M. Ma (2004) “Reconstruction of a cloud-free vegetation index time series for the Tibetan Plateau”, Mountain Research and Development, Vol. 24, No. 4, pp. 348-353, doi: 10.1659/0276-4741(2004)024[0348:ROACVI]2.0.CO;2.
Wit, A. J .W., & B. S (2005) “Deriving phenological indicators from SPOT-VGT data using the HANTS algorithm”, Proceedings of the 2nd International Vegetation User Conference; 1998–2004: 6 years of operational activities. Luxembourg, EC - ISBN 9289490047, pp. 195- 201.
Zhou, J., L. Jia, & M. Menenti (2015) “Reconstruction of global MODIS NDVI time series: Performance of Harmonic ANalysis of Time Series (HANTS)”, No. 15, pp. 217-228, doi:
The Journal of Spatial Planning and Geomatics
Volume 21, Issue 3
October 2017
Pages 221-255