| |
| Name | Global crop phenological events of major crops |
| DOI | doi:10.20783/DIAS.643 |
| Metadata Identifier | global_crop_phenology_200020230727103549-DIAS20221121113753-en |
| Name | Toshichika Iizumi |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
| Address | 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan |
| TEL | 029-838-8201 |
| iizumit@affrc.go.jp |
| Name | DIAS Office |
|---|---|
| Organization | Japan Agency for Marine-Earth Science and Technology |
| Address | 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan |
| dias-office@diasjp.net |
| Name | Toshichika Iizumi |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
| iizumit@affrc.go.jp |
| Name | Toshichika Iizumi |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
| iizumit@affrc.go.jp |
creation : 2022-03-14
Using daily weather data for the period 1996–2005 as the inputs to a rule-based agro-climatic resources model, we derive the GPCW, a global dataset of crop phenological windows for maize, soybean, wheat and rice around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. This dataset includes the average dates of sowing, emergence, maturity and harvesting as well as the average dates of silking for maize, flowering for soybean, heading and flowering for wheat, and transplanting, heading and flowering for rice. Distinctions are made between irrigated and rainfed conditions, winter and spring wheat, and single-, dry- and wet-season rice. The daily likelihoods of the occurence of crop phenological events available in the dataset can be converted into peak dates of the occurence of a crop phenological event of interest, with user-defined thresholds.
farming
| Begin Date | 2000-01-01 |
| End Date | 2000-12-31 |
| Temporal Characteristics | Daily |
| North bound latitude | 90 |
| West bound longitude | -180 |
| Eastbound longitude | 180 |
| South bound latitude | -90 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| column | 720 | 0.5 (deg) |
| row | 360 | 0.5 (deg) |
| vertical | 1 | 1 (level) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | [Agriculture  ] > [Agricultural Plant Science ] > [Cropping Systems ] |
GCMD_science |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | DIAS > Data Integration and Analysis System | No_Dictionary |
File download from DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:643
| name | version | specification |
|---|---|---|
| NetCDF | 4 |
The rule-based agro-climatic resources model determines likelihoods of the occurence of a crop phenological event of interest at a given location based on the sequence of rules and a 10-yr period of daily weather data. The rules describe climatic requirements in terms of heat, chilling, moisture and field workability. Rainfed and irrigated conditions are separately considered. The likelihood values indicate a higher possible occurence of a crop phenological event of interest under a given weather pattern and soil hydrologic condition.
Users are asked to cite the reference (Iizumi et al., in review) when the dataset is used.
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CC-BY 4.0 :
Creative Commons Attribution 4.0 International
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" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "
Mori, A., Y. Doi and T. Iizumi, GCPW, Global crop phenological windows dataset: Improvements derived from combining site observations, a crop phenology model and potential sowing windows. Earth System Science Data (submitted).