Global sowing and harvesting windows of major crops


The citation for this dataset is:
Toshichika Iizumi. (2018). Global sowing and harvesting windows of major crops [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.546
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IDENTIFICATION INFORMATION

Name Global sowing and harvesting windows of major crops
DOI doi:10.20783/DIAS.546
Metadata Identifier global_crop_calendar_200020181216230722-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

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 029-838-8435
E-mail iizumit@affrc.go.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATASET CREATOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATE OF THIS DOCUMENT

2018-12-16

DATE OF DATASET

  • creation : 2018-07-04

DATASET OVERVIEW

Abstract

Using daily weather data for the period 1996–2005 as the inputs to a rule-based model, we derive calendars for maize, rice, winter and spring wheat and soybeans around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. Winter and spring wheat and rainfed versus irrigated conditions are differentiated. Separate calendars for rainfed and irrigated conditions and three representative varieties (short-, medium- and long-season varieties) are estimated. The daily probabilities of sowing and harvesting derived using the model can be converted into sowing and harvesting windows, respectively, with user-defined thresholds.

Topic Category(ISO19139)

  • farming

Temporal Extent

Begin Date 2000-01-01
End Date 2000-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 90
West bound longitude 0
Eastbound longitude 360
South bound latitude -90

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
column 720 0.5 (deg)
row 360 0.5 (day)
vertical 1 1 (level)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Agriculture ] > [Agricultural Plant Science ] > [Cropping Systems ] GCMD_science

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Distribution Information

name version specification
NetCDF 4

DATA PROCESSING

Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

The rule-based model determines the potential sowing and harvesting dates of a crop 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 potential sowing date indicates days with a higher probability of completing the annual crop life cycle under a given weather pattern and soil hydrologic condition.

DATA REMARKS

We compared the SAGE and MIRCA2000 datasets with the modeled sowing and harvesting windows. The global data reported in USDA (1994) were also used because clear distinctions between multiple cropping seasons were available.

USE CONSTRAINTS

Data Policy by Data Provider

Users are asked to cite the reference (Iizumi et al., in review) when the dataset is used.

Data Policy for Project

Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

Disclaimer for Project

Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

ACKNOWLEDGEMENT

Project Acknowledgement

Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

REFERENCES

Iizumi T, Kim W, and Nishimori M. Modeling the global sowing and harvesting windows of major crops around the year 2000. Agricultural and Forest Meteorology (in review).


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