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. 00002Paper 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},
}
Downloads: 0
{"_id":"8jLLkoj2jvB5rQYq3","bibbaseid":"siewert-highresolutiondigitalmappingofsoilorganiccarboninpermafrostterrainusingmachinelearningacasestudyinasubarcticpeatlandenvironment-2018","author_short":["Siewert, M. B."],"bibdata":{"bibtype":"article","type":"article","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":[{"propositions":[],"lastnames":["Siewert"],"firstnames":["Matthias","B."],"suffixes":[]}],"year":"2018","note":"00002","keywords":"#nosource","pages":"1663–1682","bibtex":"@article{siewert_high-resolution_2018,\n\ttitle = {High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning : a case study in a sub-{Arctic} peatland environment},\n\tvolume = {15},\n\tshorttitle = {High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning},\n\turl = {http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-146566},\n\tdoi = {10.5194/bg-15-1663-2018},\n\tlanguage = {eng},\n\tnumber = {6},\n\turldate = {2018-08-30},\n\tjournal = {Biogeosciences},\n\tauthor = {Siewert, Matthias B.},\n\tyear = {2018},\n\tnote = {00002},\n\tkeywords = {\\#nosource},\n\tpages = {1663--1682},\n}\n\n\n\n","author_short":["Siewert, M. B."],"key":"siewert_high-resolution_2018","id":"siewert_high-resolution_2018","bibbaseid":"siewert-highresolutiondigitalmappingofsoilorganiccarboninpermafrostterrainusingmachinelearningacasestudyinasubarcticpeatlandenvironment-2018","role":"author","urls":{"Paper":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-146566"},"keyword":["#nosource"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/circ-publications","dataSources":["nbqZWNnSmJwdJFEEB","Mdrhvw5KhxFbTbWoS"],"keywords":["#nosource"],"search_terms":["high","resolution","digital","mapping","soil","organic","carbon","permafrost","terrain","using","machine","learning","case","study","sub","arctic","peatland","environment","siewert"],"title":"High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning : a case study in a sub-Arctic peatland environment","year":2018}