Recurrence Plots of Geolocated Time Series from Satellite Maps of NOAA STAR Vegetation Health Index

Recurrence Plots of Geolocated Time Series from Satellite Maps of NOAA STAR Vegetation Health Index

Loading document ...
Page
of
Loading page ...

Author(s)

Author(s): Amelia Carolina Sparavigna, Roberto Marazzato

Download Full PDF Read Complete Article

DOI: 10.18483/ijSci.877 303 989 47-54 Volume 4 - Dec 2015

Abstract

Several information services, such as the NOAA Center for Satellite Applications and Research, produces and distributes maps elaborated from satellite images, which display data about vegetation indices. Using the time-series concerning some specific geographical positions, which we can obtain from the available maps, several analyses are possible. Here we propose the use of recurrence plots. We will show examples based on the data corresponding to six small areas, geolocated in Italy, of the NOAA STAR Vegetation Health Index (VHI). It is an index used for monitoring and forecasting the status of vegetation. The recurrence plots we obtained could be helpful for discriminating different situations.

Keywords

Satellite Maps, Satellite Imagery, Recurrence Plots, Vegetation Indices, Climate

References

  1. J.P. Eckmann, S. Oliffson Kamphorst, D. Ruelle (1987). Recurrence Plots of Dynamical Systems. Europhysics Letters 5 (9): 973–977. DOI: 10.1209/0295-5075/4/9/004
  2. K. Fraedrich (1988). El Niño/Southern Oscillation Predictability. Monthly Weather Review 116(5):1001-1012. DOI: 10.1175/1520-0493(1988)116%3C1001:enop%3E2.0.co;2
  3. N. Marwan (2003). Encounters with neighbours: current developments of concepts based on recurrence plots and their applications. Norbert Marwan.
  4. A.C. Sparavigna (2014). Recurrence Plots from Altimetry Data of Some Lakes in Africa. International Journal of Sciences 3(07):19-27. DOI: 10.18483/ijSci.534
  5. A.C. Sparavigna (2014). Carbon Dioxide Concentration and Emissions in Atmosphere: Trends and Recurrence Plots. International Journal of Sciences 3(10):8-15. DOI: 10.18483/ijSci.582
  6. A.C. Sparavigna (2013). A Study of Moving Sand Dunes by Means of Satellite Images, International Journal of Sciences 2(08):33-42. DOI: 10.18483/ijSci.229
  7. A.C. Sparavigna 2013). The GNU Image Manipulation Program Applied to Study the Sand Dunes, International Journal of Sciences 2(09):1-8. DOI: 10.18483/ijSci.289
  8. N. Marwan, J. Kurths, S. Foerster (2015). Analysing Spatially Extended High-Dimensional Dynamics by Recurrence Plots. Physics Letters A 379, 894–900. DOI: 10.1016/j.physleta.2015.01.013
  9. S.C. Li , Z.Q. Zhao, F.Y. Liu (2008). Identifying Spatial Pattern of NDVI Series Dynamics Using Recurrence Quantification Analysis, A case study in the region around Beijing, China. The European Physical Journal Special Topics 164(1):127-139. DOI: 10.1140/epjst/e2008-00839-y
  10. D. M. Gates (1980). Biophysical Ecology, Springer-Verlag, New York. DOI: 10.1007/978-3-642-87810-7_1
  11. R. D. Jackson, A. R. Huete (1991). Interpreting Vegetation Indices. Preventive Veterinary Medicine 11(3): 185-200. DOI: 10.1016/s0167-5877(05)80004-2
  12. Jian Peng, Zhenhuan Liu, Yinghui Liu, Jiansheng Wu, Yinan Han (2012). Trend Analysis of Vegetation Dynamics in Qinghai-Tibet Plateau using Hurst Exponent. Ecological Indicators 14:28-39. DOI: 10.1016/j.ecolind.2011.08.011
  13. Shuangshuang Li, Junping Yan, Xinyan Liu, Jia Wan (2013). Response of Vegetation Restoration to Climate Change and Human Activities in Shaanxi-Gansu-Ningxia Region, Journal of Geographical Sciences 23(1):98-112. DOI: 10.1007/s11442-013-0996-8
  14. G. Katul, C.-T. Lai, K. Schäfer, B. Vidakovic, J. Albertson, D. Ellsworth, R. Oren (2001). Multiscale Analysis of Vegetation Surface Fluxes: from Seconds to Years Advances in Water Resources 24(9–10):1119–1132. DOI: 10.1016/s0309-1708(01)00029-x
  15. Jihao Yin, Chao Gao ; Xiuping Jia (2012). Using Hurst and Lyapunov Exponent For Hyperspectral Image Feature Extraction. Geoscience and Remote Sensing Letters IEEE 9(4):705-709. DOI: 10.1109/LGRS.2011.2179005
  16. J. C. Valdiviezo-N, R. Castro, G. Cristóbal, A. Carbone (2014). Hurst Exponent for Fractal Characterization of LANDSAT Images, Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 922103. DOI: 10.1117/12.2060281
  17. F. Kogan (2008). Monitoring Drought and its Impacts on Vegetation from Space. NIDIS Knowledge Assessment Workshop: Contributions of Satellite Remote Sensing to Drought Monitoring, February 6-7, 2008, David Skaggs Research Center, NOAA, Boulder, CO.
  18. E. Kononov, Visual Recurrence Analysis, www.visualization-2002.org/
  19. Wikipedia, retrieved on October 24, 2015 at https://en.wikipedia.org/wiki/Recurrence_plot
  20. A. C. Sparavigna (2014). Recurrence Plots of Exchange Rates of Currencies, International Journal of Sciences 3(07):87-95. DOI: 10.18483/ijSci.545

Cite this Article:

International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

Search Articles

Issue June 2024

Volume 13, June 2024


Table of Contents



World-wide Delivery is FREE

Share this Issue with Friends:


Submit your Paper