Estimation and monitoring of rice growth stages in northern part of Japan using constellation satellite and GIS

Wakamori, K.; Ichikawa, D.; Niimi, R.; Suzuki, Mitsuo

doi:10.1109/igarss.2013.6723519

Cited by 4 publications

(2 citation statements)

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“…The RE imager has an additional red edge band to improve vegetation studies. In according to our previous researches ( [1], [2], [3], [4]), the most spectral contrast for rice paddies can be observed in June and August. Considering plant timing and availability of satellite images, two images acquired on June 27 and July 28 of 2012 and were selected and analyzed.…”

Section: Satellite Datamentioning

confidence: 57%

“…The high resolution and constellation satellites provides advanced technology to monitor rice growing status and map rice paddy fields at repeated time intervals. The authors have been investigating and reported spectral properties and NDVI pattern of rice growth stages during 2010-2013 growing season in Tohoku area of Japan ( [3], [4]) and developed monitoring technique using constellation satellite( [1], [2]). The technique developed in this research has been successfully implemented to rice paddy monitoring in this area.…”

Section: Introductionmentioning

confidence: 99%

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Identification of paddy fields in Northern Japan using RapidEye images

Ichikawa

Wakamori

Suzuki

2014

2014 IEEE Geoscience and Remote Sensing Symposium

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Agriculture fields located in northern part of Japan having vector polygons as paddy, non-paddy and uncultivated attributes were investigated to identify paddy fields using RapidEye satellite images acquired on June 27 and July 28 of 2012. Paddy, other crop and uncultivated fields were selected from the vector polygons and the polygons were extracted from the images. A bimodal histograms of the extracted polygons were created and established identification algorithm for paddy field classification. The algorithm was applied to RapidEye image and created a map for active paddy fields of the area for 2012.

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Section: Satellite Datamentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%