GDHY_version_1.2


1. IDENTIFICATION INFORMATION

Name GDHY_version_1.2
Edition version 1.2
DOI doi:10.20783/DIAS.528
Metadata Identifier GDHY_v1_220221122152356-DIAS20221121113753-en

2. CONTACT

2.1 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

2.2 CONTACT on PROJECT

2.2.1 Data Integration and Analysis System

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
E-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

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

4. DATASET CREATOR

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

5. DATE OF THIS DOCUMENT

2022-11-22

6. DATE OF DATASET

  • creation : 2017-11-07

7. DATASET OVERVIEW

7.1 Abstract

The Global Dataset of Historical Yield (GDHY_v1_2) offers annual time series data of 0.5-degree grid-cell yield estimates of major crops worldwide. The crops considered in this dataset are maize, rice, wheat and soybean. The unit of yield data is t/ha. The grd-cell yield data were estimated using the satellite-derived crop-specific vegetation index and FAO-reported country yield statistics. Maize and rice have the data for each of two growing seasons (major/secondary). "Winter" and "spring" are used as the growing season categories for wheat. Only "major" growing season is available for soybean. These growing season categories are based on Sacks et al. (2010, DOI: 10.1111/j.1466-8238.2010.00551.x). The geographic distribution of harvested area changes with time in reality, but we used the time-constant data in 2000 (Monfreda et al., 208, doi:10.1029/2007GB002947). Many missing values are found in the first (1981) and last (2011) years because grid-cell yields are not estimated for these years when growing season spans two calendar years.

7.2 Topic Category(ISO19139)

  • farming

7.3 Temporal Extent

Begin Date 1981-01-01
End Date 2011-01-01
Temporal Characteristics Annual

7.4 Geographic Bounding Box

North bound latitude 90
West bound longitude -180
Eastbound longitude 180
South bound latitude -90

7.5 Grid

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)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Agriculture > Agricultural Plant Science > Crop/Plant Yields GCMD_science

7.7.2 Keywords on Project

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

7.8 Online Resource

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
NetCDF 4

8. DATA PROCESSING

8.1 Data Processing (1)

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

The grid-cell yield estimates available in this dataset are a hybrid of satellite-derived crop-specific vegetation index and FAO-reported country yield statistics.

8.1.2 Data Source

Data Source Citation Name Description of derived parameters and processing techniques used

9. DATA REMARKS

10. DATA POLICY

10.1 Data Policy by the Data Provider

The references (Iizumi et al., 2014, doi:10.1111/geb.12120; Iizumi and Ramankutty, 2016, doi:10.1088/1748-9326/11/3/034003; Iizumi et al., in review) should be cited when the dataset is used.

10.2 Data Policy by the Project

10.2.1 Data Integration and Analysis System

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

11. LICENSE

12. DATA SOURCE ACKNOWLEDGEMENT

12.1 Acknowledge the Data Provider

12.2 Acknowledge the Project

12.2.1 Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" 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. "

13. REFERENCES

Iizumi, T., Yokozawa, M., Sakurai, G., Travasso, M. I., Romanenkov, V., Oettli, P., Newby, T., Ishigooka, Y. and Furuya, J. (2014), Historical changes in global yields: major cereal and legume crops from 1982 to 2006. Global Ecology and Biogeography, 23, 346–357, doi:10.1111/geb.12120.

Iizumi, T., and N. Ramankutty (2016) Changes in yield variability of major crops for 1981–2010 explained by climate change. Environmental Research Letters, 11, 034003, doi:10.1088/1748-9326/11/3/034003.

Iizumi T, Kotoku M, Kim W, West PC, Gerber JS, Brown ME (2018) Uncertainties of potentials and recent changes in global yields of major crops resulting from census- and satellite-based yield datasets at multiple resolutions. PLoS ONE 13(9): e0203809. https://doi.org/10.1371/journal.pone.0203809

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