Name | GDHY_v1_2_v1_3 |
Edition | aligned version v1.2+v1.3 |
DOI | doi:10.20783/DIAS.564 |
Metadata Identifier | GDHY_v1_2_v1_320240521115856-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 | 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 |
The Global Dataset of Historical Yield (GDHY_v1_2_v1_3) offers annual time series data of 0.5-degree grid-cell yield estimates of major crops worldwide for the period 1981-2020. The crops considered in this dataset are maize, rice, wheat and soybean. The unit of yield data is tons per hectare (t/ha). The grd-cell yield data were estimated using the satellite-derived 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 the global crop calendars (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., 2008, doi:10.1029/2007GB002947). Many missing values are found in the first (1981) and last (2020) years because grid-cell yields are not estimated for these years since the growing season is not completed when it spans two calendar years. The data for the period 1981-2010 are the same with the version 1.2 (GDHY_v1_2). For the period 2011-2020, a newly created version 1.3 using the satellite products that are different with earlier versions was alighned to ensure the continuity of yield time series. This version is therefore called "the alighned version v1.2+v1.3".
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 > Crop/Plant Yields | GCMD_science |
File download from DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:564
The grid-cell yield estimates available in this dataset are a hybrid of satellite-derived vegetation index and FAO-reported country yield statistics. The methodological details are described in Iizumi et al. 2014 (DOI: 10.1111/geb.12120). The information on modification on inputs from the older version 1.2 to this aligned version (v1.2_v1.3) is available at Iizumi and Sakai (2020, https://doi.org/10.1038/s41597-020-0433-7).
The following two references should be cited when the dataset is used.
Iizumi et al., 2014, doi:10.1111/geb.12120
Iizumi and Sakai, 2020, https://doi.org/10.1038/s41597-020-0433-7
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Key publications
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 Sakai, T. (2020) The global dataset of historical yields for major crops 1981–2016. Scientific Data, 7, 97. https://doi.org/10.1038/s41597-020-0433-7
Other useful publications
Iizumi, T., Kotoku, M., Kim, W., West, P.C., Gerber, J.S., and Brown, M.E. (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, e0203809. https://doi.org/10.1371/journal.pone.0203809