Coupling high spatial resolution data, GIS approaches and modelling for reliable estimates of SOC stocks and their historical changes in agricultural lands

dc.creator	FAO;
dc.date	2023-04-27T12:14:45Z
dc.date	2023-04-27T12:14:45Z
dc.date	2017
dc.date	2022-10-19T10:37:01.0000000Z
dc.date.accessioned	2026-06-28T00:33:38Z
dc.format	5p.
dc.format	application/pdf
dc.identifier	https://openknowledge.fao.org/handle/20.500.14283/BR968E
dc.identifier	http://www.fao.org/3/a-br968e.pdf
dc.identifier.uri	http://hdl.handle.net/123456789/312509
dc.language	English
dc.publisher	FAO ;
dc.rights	FAO
dc.title	Coupling high spatial resolution data, GIS approaches and modelling for reliable estimates of SOC stocks and their historical changes in agricultural lands
dc.title	Global Symposium on Soil Organic Carbon, Rome, Italy, 21-23 March 2017
dc.type	Article

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