Application of NDVI on establishing the relationship between precipitation change and vegetation variation in central Taiwan

Su Fen Wang, Wan Ting Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years there was a decreasing trend in the number of rainy days but an increasing trend in rainfall intensity in Taiwan. The rainfall patterns in the so-called Mei-yu Season (often during May and June, it also called plum rain) have also changed, which is one of the significant evidences of short-term climate change. In this study, the NDVI (normalized differences vegetation index) derived from SPOT images was used to estimate the recent vegetation changes in central Taiwan, and examine the relationship between vegetation condition and precipitation. The results show that precipitation fluctuated considerably in the past 30 years and increased dramatically between 2003 and 2008. The mean NDVI change during Mei-yu season was negative between 1999 and 2008 but there was no significant inter-annual trend of NDVI in this period. NDIV did not significantly correlate to precipitation. Spatial variation of NDVI as indicated by the standard deviation differs in elevations and between windward and leeward slopes.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages1644-1649
Number of pages6
Publication statusPublished - 2009 Dec 1
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume3

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Wang, S. F., & Lin, W. T. (2009). Application of NDVI on establishing the relationship between precipitation change and vegetation variation in central Taiwan. In 30th Asian Conference on Remote Sensing 2009, ACRS 2009 (pp. 1644-1649). (30th Asian Conference on Remote Sensing 2009, ACRS 2009; Vol. 3).