Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 823–843, 2019
https://doi.org/10.5194/essd-11-823-2019
Earth Syst. Sci. Data, 11, 823–843, 2019
https://doi.org/10.5194/essd-11-823-2019

  12 Jun 2019

12 Jun 2019

Generating a rule-based global gridded tillage dataset

Vera Porwollik et al.

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Cited articles

Andales, A. A., Batchelor, W. D., Anderson, C. E., Farnham, D. E., and Whigham, D. K.: Incorporating tillage effects into a soybean model, Agr. Syst., 66, 69–98, https://doi.org/10.1016/S0308-521X(00)00037-8, 2000. 
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Bartholomé, E. and Belward, A. S.: GLC2000: a new approach to global land cover mapping from Earth observation data, Int. J. Remote, 26, 1959–1977, https://doi.org/10.1080/01431160412331291297, 2005. 
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Carlson, K. M., Gerber, J. S., Mueller, N. D., Herrero, M., MacDonald, G. K., Brauman, K. A., Havlik, P., O'Connell, C. S., Johnson, J. A., Saatchi, S., and West, P. C.: Greenhouse gas emissions intensity of global croplands, Nat. Clim. Change, 7, 63–68, https://doi.org/10.1038/nclimate3158, 2016. 
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Short summary
This study describes the generation of a classification and the global spatially explicit mapping of six crop-specific tillage systems for around the year 2005. Tillage practices differ by the kind of equipment used, soil surface and depth affected, timing, and their purpose within the cropping systems. The identified tillage systems including a downscale algorithm of national Conservation Agriculture area values were allocated to crop-specific cropland areas with a resolution of 5 arcmin.