Estimating Rice Transplanting Dates and Projected Shifts under Climate Change in Japan with the Use of Sentinel‐1 Imagery and CMIP6 Scenarios

ABSTRACT This study examines the impact of climate change on rice transplanting timings in Japan, focusing on Hyogo and Niigata Prefectures. Using time‐series Sentinel‐1 SAR imagery, we identified transplanting dates based on the sharp decrease in backscatter coefficients during the ponding period. The estimation was validated against survey data from agricultural corporations and cooperatives, yielding a Root Mean Square Error (RMSE) of 9.8 days for Hyogo and 6.2 days for Niigata. Current trends reflect regional variations due to climate and social practices, such as intensive planting during Japan's Golden Week holidays. Projections under the CMIP6 RCP 8.5 scenario indicate significant delay in future transplanting dates, averaging 35 days in Hyogo and 74 days in Niigata by the end of the 21st century. These delays are more pronounced in higher‐elevation and colder regions. This integrated approach offers valuable insights into the potential for adjusting transplanting schedules to mitigate the impacts of climate change.

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Publication Details

Journal
Irrigation and Drainage
Published
2026-09-17
DOI
https://doi.org/10.1002/ird.70222
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimating Rice Transplanting Dates and Projected Shifts under Climate Change in Japan with the Use of Sentinel‐1 Imagery and CMIP6 Scenarios

Natsuki Yoshikawa, Takanori Nagano, 賢治 田中, Yueying Sui
Irrigation and Drainage
Remote Sensing in Agriculture
article

Estimating Rice Transplanting Dates and Projected Shifts under Climate Change in Japan with the Use of Sentinel‐1 Imagery and CMIP6 Scenarios

Natsuki Yoshikawa, Takanori Nagano, 賢治 田中, Yueying Sui
article en

Abstract

ABSTRACT This study examines the impact of climate change on rice transplanting timings in Japan, focusing on Hyogo and Niigata Prefectures. Using time‐series Sentinel‐1 SAR imagery, we identified transplanting dates based on the sharp decrease in backscatter coefficients during the ponding period. The estimation was validated against survey data from agricultural corporations and cooperatives, yielding a Root Mean Square Error (RMSE) of 9.8 days for Hyogo and 6.2 days for Niigata. Current trends reflect regional variations due to climate and social practices, such as intensive planting during Japan's Golden Week holidays. Projections under the CMIP6 RCP 8.5 scenario indicate significant delay in future transplanting dates, averaging 35 days in Hyogo and 74 days in Niigata by the end of the 21st century. These delays are more pronounced in higher‐elevation and colder regions. This integrated approach offers valuable insights into the potential for adjusting transplanting schedules to mitigate the impacts of climate change.

Irrigation and Drainage
Kyoto University (JP), Kobe University (JP), Niigata University (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science
Climate action
Openalex Percentile: Top 11%
Remote Sensing in Agriculture
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Estimating Rice Transplanting Dates and Projected Shifts under Climate Change in Japan with the Use of Sentinel‐1 Imagery and CMIP6 Scenarios — Natsuki Yoshikawa, Takanori Nagano, et al. · Irrigation and Drainage (2026) | TGRS Research Map | TGRS