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 Yokosawa

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
Volume1
Publication statusPublished - 2005
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

Other

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

Fingerprint

Wavelet analysis
Crops
Rivers
Springs (water)
Time series

Keywords

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

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Sakamoto, T., Kotera, A., Ishitsuka, N., Ohno, H., Van Nguyen, N., & Yokosawa, M. (2005). Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology. In Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005 (Vol. 1, pp. 209-212)

Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology. / Sakamoto, Toshihiro; Kotera, Akihiko; Ishitsuka, Naoki; Ohno, Hiroyuki; Van Nguyen, Nhan; Yokosawa, Masayuki.

Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Vol. 1 2005. p. 209-212.

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

Sakamoto, T, Kotera, A, Ishitsuka, N, Ohno, H, Van Nguyen, N & Yokosawa, M 2005, Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology. in Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. vol. 1, pp. 209-212, 26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC, Ha Noi, Viet Nam, 05/11/7.
Sakamoto T, Kotera A, Ishitsuka N, Ohno H, Van Nguyen N, Yokosawa M. Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology. In Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Vol. 1. 2005. p. 209-212
Sakamoto, Toshihiro ; Kotera, Akihiko ; Ishitsuka, Naoki ; Ohno, Hiroyuki ; Van Nguyen, Nhan ; Yokosawa, Masayuki. / Application of wavelet analysis to the multi-temporal modis data for detecting the rice phenology. Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Vol. 1 2005. pp. 209-212
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