Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology

Toshihiro Sakamoto*, Akihiko Kotera, Naoki Ishitsuka, Hiroyuki Ohno, Nhan Van Nguyen, Masayuki Yokozawa

*Corresponding author for this work

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

Abstract

We examined the spatial pattern of rice phenology in the Red River Delta (RRD) by using time-series MODIS data in 2003. We applied the Wavelet based Filter for determining Crop Phenology (WFCP) to assess the seasonal change of EVI data reflecting from the crop status. Time courses of smoothed EVI derived by WFCP showed two peaks on April-March and August-September, indicating that double rice cropping is mainly being performed in RRD. It was also shown that there are winter-spring rice cropping areas in eastern RRD (Hai Duong province, Hai Phong province and Thai Binh province) where cultivation period is about two weeks earlier than the other provinces. Furthermore, spatially heterogeneous distribution of heading dates for rainy season rice was detected by the spatio-temporal EVI. MODIS EVI with WFCP enable us to grasp the geographical characteristics of agricultural activity in RRD i.e. spatial pattern of rice cropping system, phenology and its recent changing trend with high accuracy.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Pages209-212
Number of pages4
Publication statusPublished - 2005 Dec 1
Externally publishedYes
Event26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
Duration: 2005 Nov 72005 Nov 11

Publication series

NameAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Volume1

Other

Other26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
Country/TerritoryViet Nam
CityHa Noi
Period05/11/705/11/11

Keywords

  • Crop Phenology
  • MODIS
  • Red River Delta
  • Wavelet Analysis

ASJC Scopus subject areas

  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology'. Together they form a unique fingerprint.

Cite this