Assessment of rice planting date using MODIS data

Chi Farn Chen, Szu Wei Huang, Qing Chen, Li Yu Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, temporal MODIS data are used to detect rice planting date in Taiwan. However, the time-series satellite data are easily contaminated by noises such as cloud cover and atmospheric conditions. Empirical Mode Decomposition (EMD) and wavelet transform are applied for data noise filtering, and the planting date is specified by detecting the local maximum and inflection points from the smoothed temporal NDVI profile. The results indicate that the time-series data filtered by EMD are useful for detecting rice planting dates. Moreover, the detecting results obtained from EMD are more accurate than from wavelet transform.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages112-117
Number of pages6
StatePublished - 2009
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 18 Oct 200923 Oct 2009

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume1

Conference

Conference30th Asian Conference on Remote Sensing 2009, ACRS 2009
Country/TerritoryChina
CityBeijing
Period18/10/0923/10/09

Keywords

  • Empirical mode decomposition
  • MODIS
  • Planting date detection

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