Monsoon Asia Rice Calendar (MARC): a gridded rice calendar in monsoon Asia based on Sentinel-1 and Sentinel-2 images
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This dataset is a gridded (0.5 degree) rice calendar in monsoon Asia based on Sentinel-1 and Sentinel-2 satellite images. The dataset uses the feature-based algorithm (Zhao et al., 2023) to extract the rice transplanting and harvest date, as well as the fitted Weibull function to recognize the number of rice cropping automatically. The variation of transplanting and harvest dates was calculated by the 3 × 3 pixel window over the year 2019 and 2020 using von Mises method. This dataset provides two types of rice calendar: group-based and grid-based rice calendar, and the variation of these two rice calendars, respectively.
Description
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Creator
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Release date
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2023/07/28
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Temporal coverage
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2019/01/01 - 2020/12/31
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Data provider
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NIES
Email: cgerdb_admin(at)nies.go.jp |
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DOI
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File format
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Data volume
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264 KB
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Version
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ver.1.0 (Last updated: 2023/07/28)
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Language
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English
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Data Set
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Parameters
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Transplanting date, Harvest date, Number of cropping, Vairation of transplanting date, Variation of harvest date
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| Domain |
Regional
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| Time resolution |
1 day
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| Spatial resolution |
0.5x0.5 degree
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| Spatial coverage |
Latitude: -10 - 53.5 °
Longitude: 61 - 153 ° |
| Calculation method |
The time series of backscattering at Vertical-Horizontal (VH), vegetation index of Enhanced Vegetation Index (EVI) and Normalized Difference Yellow Index (NDYI) were extracting from the Sentinel-1 and Sentinel-2 satellite images, respectively. LOESS was used to smooth these time series data. Feature-based algorithm was used to detect the transplanting date and harvest date by the detection of minimum of VH and peak NDYI. The number of rice cropping was recognized by using the Weibull function. The variation of transplanting date and harvest date was calculated by von Mises likelihood estimate using 3 × 3 pixel window over the year 2019 and 2020.
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Keywords
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[Free keywords]
Rice calendar, Gridded, Sentinel-1, Sentinel-2, Monsoon Asia, Number of cropping, Transplanting date, Harvest date
[GCMD_Platform]Space-based Platforms > Earth Observation Satellites > Sentinel-1 and Sentinel-2
[GCMD_Science]Other > Maps Agriculture > Agricultureral plant science > Cropping systems
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Update history
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[2023/07/28]
Version 1.0 was released (ver.1.0)
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Contributors
| Data Manager | |
| Supervisor | |
| Project Manager |
Reference Information
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Reference
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Zhao, X., Nishina, K., Akitsu, T.K., Jiang, L., Masutomi, Y., and Nasahara, K.N. (2023) Feature-based algorithm for large-scale rice phenology detection based on satellite images, Agricultural and Forest Meteorology, 329, DOI:10.1016/j.agrformet.2022.109283.
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Terms and Conditions of Use*
*By accessing or using the Service you agree to follow these Terms. If you disagree with any part of the Terms, you may not access the Service.
| License | |
| Citation format |
When this data set is referred to in publications, it should, as a general rule, be cited in the following format.
Zhao et al. (2023), Monsoon Asia Rice Calendar (MARC): a gridded rice calendar in monsoon Asia based on Sentinel-1 and Sentinel-2 images, Ver.x.x*1, NIES, DOI:10.17595/20230728.001. (Reference date*2: YYYY/MM/DD)
*1 The version number is indicated in the name of each data file. *2 As the reference date, please indicate the date you downloaded the files. |
Advisory Service
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Advisory service
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If you need scientific advice or expert opinion regarding the contents or scientific validity of this data set or Products derived from it, we can provide an advisory service based on an individual contract, different from the above one.
Depending on the extent of the help required, we can offer collaboration and/or supervision of the work based on the present data set. If you want to use our advisory service, contact the Data Provider. |