A crop phenology detection method using time-series MODIS data

Toshihiro Sakamoto, Masayuki Yokosawa, Hitoshi Toritani, Michio Shibayama, Naoki Ishitsuka, Hiroyuki Ohno

Research output: Contribution to journalArticle

505 Citations (Scopus)

Abstract

Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescription of multi-temporal MODIS/Terra data; (ii) filtering time-series Enhanced Vegetation Index (EVI) data by time-frequency analysis; and (iii) specifying the phenological stages by detecting the maximum point, minimal point and inflection point from the smoothed EVI time profile. Applying this method to MODIS data, we determined the planting date, heading date, harvesting date, and growing period in 2002. And we validated the performance of the method against statistical data in 30 paddy fields. As for the filtering, we adopted wavelet and Fourier transforms. Three types of mother wavelet (Daubechies, Symlet and Coiflet) were used in Wavelet transform. As the results of validation, the wavelet transform performed better than the Fourier transform. Specifically, the case using Coiflet (order = 4) gave remarkably good results in determining phenological stages and growing periods. The root mean square errors of the estimated phenological dates against the statistical data were: 12.1 days for planting date, 9.0 days for heading date, 10.6 days for harvesting date, and 11.0 days for growing period. The method using wavelet transform with Coiflet (order = 4) allows the determination of regional characteristics of rice phenology. We proposed this new method using the wavelet transform; Wavelet based Filter for determining Crop Phenology (WFCP).

Original languageEnglish
Pages (from-to)366-374
Number of pages9
JournalRemote Sensing of Environment
Volume96
Issue number3-4
DOIs
Publication statusPublished - 2005 Jun 30
Externally publishedYes

Fingerprint

moderate resolution imaging spectroradiometer
detection method
phenology
Wavelet transforms
wavelet
MODIS
Crops
Time series
time series analysis
time series
crop
transform
Fourier transforms
planting date
harvest date
statistical data
vegetation index
heading
Fourier transform
methodology

Keywords

  • MODIS
  • Paddy field
  • Phenological stage
  • Remote sensing
  • Wavelet transform

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

Cite this

Sakamoto, T., Yokosawa, M., Toritani, H., Shibayama, M., Ishitsuka, N., & Ohno, H. (2005). A crop phenology detection method using time-series MODIS data. Remote Sensing of Environment, 96(3-4), 366-374. https://doi.org/10.1016/j.rse.2005.03.008

A crop phenology detection method using time-series MODIS data. / Sakamoto, Toshihiro; Yokosawa, Masayuki; Toritani, Hitoshi; Shibayama, Michio; Ishitsuka, Naoki; Ohno, Hiroyuki.

In: Remote Sensing of Environment, Vol. 96, No. 3-4, 30.06.2005, p. 366-374.

Research output: Contribution to journalArticle

Sakamoto, T, Yokosawa, M, Toritani, H, Shibayama, M, Ishitsuka, N & Ohno, H 2005, 'A crop phenology detection method using time-series MODIS data', Remote Sensing of Environment, vol. 96, no. 3-4, pp. 366-374. https://doi.org/10.1016/j.rse.2005.03.008
Sakamoto, Toshihiro ; Yokosawa, Masayuki ; Toritani, Hitoshi ; Shibayama, Michio ; Ishitsuka, Naoki ; Ohno, Hiroyuki. / A crop phenology detection method using time-series MODIS data. In: Remote Sensing of Environment. 2005 ; Vol. 96, No. 3-4. pp. 366-374.
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