High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning : a case study in a sub-Arctic peatland environment. Siewert, M. B. Biogeosciences, 15(6):1663–1682, 2018. 00002
High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning : a case study in a sub-Arctic peatland environment [link]Paper  doi  bibtex   
@article{siewert_high-resolution_2018,
	title = {High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning : a case study in a sub-{Arctic} peatland environment},
	volume = {15},
	shorttitle = {High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning},
	url = {http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-146566},
	doi = {10.5194/bg-15-1663-2018},
	language = {eng},
	number = {6},
	urldate = {2018-08-30},
	journal = {Biogeosciences},
	author = {Siewert, Matthias B.},
	year = {2018},
	note = {00002},
	keywords = {\#nosource},
	pages = {1663--1682},
}

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