GDHY


The citation for this dataset is:
Toshichika Iizumi. (2017). GDHY [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.528
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IDENTIFICATION INFORMATION

Name GDHY
Edition v1_2
DOI doi:10.20783/DIAS.528
Metadata Identifier GDHY_v1_220181216230041-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 : 2017-11-07

DATASET OVERVIEW

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.

Topic Category(ISO19139)

  • farming

Temporal Extent

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

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 (deg)
vertical 1 1 (level)

Keywords

Keywords on Dataset

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

Online Resource

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

USE CONSTRAINTS

Data Policy by 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.

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., 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., M. Kotoku, W. Kim, P. C. West, J. S. Gerber, and M. E. Brown, Uncertainties of potentials and recent changes in global yields of major crops resulting from census- and satellite-based yield datasets at multiple resolutions. Environmental Research Letters (in review).


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