Monitoring of variability in crop growth on reconstructed agriculutural Land after the 2011 Great East Japan Earthquake

Chinatsu Yonezawa, Manabu Watanabe

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

Abstract

High-resolution optical satellite images of the reconstructed agricultural fields in Sendai Plain damaged by tsunami caused by the 2011 Great East Japan Earthquake were analyzed to observe variability in crop growth. The main crop of the target area is paddy rice obtained through transplantation, and dry and wet direct seeding. Soybean is the second main crop, with some other vegetables being planted. Normalized difference vegetation index (NDVI) was computed from the images captured in early July in 2014, and early July, late July, and middle August in 2015. Growth variability in the same type of crops was recognized. The differences in the growth statuses resulting from the differences in crop types and cultivation methods appeared on the NDVI images. In a comparison of the three images acquired in 2015, the early July image showed the most obvious variability in crop growth.

Original languageEnglish
Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6308-6311
Number of pages4
ISBN (Electronic)9781509033324
DOIs
Publication statusPublished - 2016 Nov 1
Event36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China
Duration: 2016 Jul 102016 Jul 15

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2016-November

Other

Other36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
CountryChina
CityBeijing
Period16/7/1016/7/15

Keywords

  • NDVI
  • growth variability
  • high resolution satellite
  • paddy rice
  • precision crop management

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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