Periodicity analysis of NDVI time series and its relationship with climatic factors in the Heihe River Basin in China

Huibang Han; Mingguo Ma; Ping Yan; Yi Song

doi:10.1117/12.897938

7 October 2011 Periodicity analysis of NDVI time series and its relationship with climatic factors in the Heihe River Basin in China

Huibang Han, Mingguo Ma, Ping Yan, Yi Song

Author Affiliations +

Proceedings Volume 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII; 817429 (2011) https://doi.org/10.1117/12.897938
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Based on the protensive GIMMS NDVI data set and meteorological data during 1982-2009 in the Heihe River Basin, a novel multiple time-scale analysis method, Empirical Mode Decomposition (EMD), is used to diagnose the periodicities of NDVI, air temperature and precipitation data. At the same time, the relationship among these three elements is performed. The results indicate that SINDVI, temperature and precipitation have the similar 3 and 10 years quasiperiodic in the upper reaches of the Heihe River Basin. SINDVI and temperature have the similar 3 and 10 years quasiperiodic, SINDVI and precipitation have the similar 3, 6, 8 and 15 years quasi-periodic in the middle reaches of the Heihe River Basin. In the meantime, in the lower reaches of the Heihe River, SINDVI and temperature have the similar 3 and 10 years quasi-periodic, SINDVI and precipitation have the similar 3 and 6 years quasi-periodic. It is indicated that the temperature and precipitation are both the driving factor affecting the vegetation in the Heihe River Basin. In addition, the EMD method can be effectively used to analyze the relationship between time series data and the meteorological data.

Citation Download Citation

Huibang Han, Mingguo Ma, Ping Yan, and Yi Song "Periodicity analysis of NDVI time series and its relationship with climatic factors in the Heihe River Basin in China", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817429 (7 October 2011); https://doi.org/10.1117/12.897938

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available