No Cover Image

Journal article 60 views

An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks / D. Carless, Bernd Kulessa, A.D. Booth, Y. Drocourt, P. Sinnadurai, F. Alayne Street-Perrott, P. Jansson

Geoderma, Volume: 402, Start page: 115176

Swansea University Author: Bernd Kulessa

  • Accepted Manuscript under embargo until: 5th May 2022
Published in: Geoderma
ISSN: 0016-7061
Published: Elsevier BV 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56894
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-05-20T08:15:01Z
last_indexed 2021-06-25T03:22:15Z
id cronfa56894
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-06-24T09:43:45.1326233</datestamp><bib-version>v2</bib-version><id>56894</id><entry>2021-05-18</entry><title>An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks</title><swanseaauthors><author><sid>52acda616e9f6073cbebf497def874c9</sid><ORCID>0000-0002-4830-4949</ORCID><firstname>Bernd</firstname><surname>Kulessa</surname><name>Bernd Kulessa</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-05-18</date><deptcode>SGE</deptcode><abstract/><type>Journal Article</type><journal>Geoderma</journal><volume>402</volume><journalNumber/><paginationStart>115176</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0016-7061</issnPrint><issnElectronic/><keywords>Ground-penetrating radar; Peat; Bog; Carbon stock; LiDAR; GIS</keywords><publishedDay>15</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-11-15</publishedDate><doi>10.1016/j.geoderma.2021.115176</doi><url/><notes/><college>COLLEGE NANME</college><department>Geography</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SGE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-06-24T09:43:45.1326233</lastEdited><Created>2021-05-18T13:03:10.6795778</Created><path><level id="1">College of Science</level><level id="2">Geography</level></path><authors><author><firstname>D.</firstname><surname>Carless</surname><order>1</order></author><author><firstname>Bernd</firstname><surname>Kulessa</surname><orcid>0000-0002-4830-4949</orcid><order>2</order></author><author><firstname>A.D.</firstname><surname>Booth</surname><order>3</order></author><author><firstname>Y.</firstname><surname>Drocourt</surname><order>4</order></author><author><firstname>P.</firstname><surname>Sinnadurai</surname><order>5</order></author><author><firstname>F. Alayne</firstname><surname>Street-Perrott</surname><order>6</order></author><author><firstname>P.</firstname><surname>Jansson</surname><order>7</order></author></authors><documents><document><filename>Under embargo</filename><originalFilename>Under embargo</originalFilename><uploaded>2021-06-24T09:41:53.1403050</uploaded><type>Output</type><contentLength>1135513</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><action/><embargoDate>2022-05-05T00:00:00.0000000</embargoDate><documentNotes>&#xA9;2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2021-06-24T09:43:45.1326233 v2 56894 2021-05-18 An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks 52acda616e9f6073cbebf497def874c9 0000-0002-4830-4949 Bernd Kulessa Bernd Kulessa true false 2021-05-18 SGE Journal Article Geoderma 402 115176 Elsevier BV 0016-7061 Ground-penetrating radar; Peat; Bog; Carbon stock; LiDAR; GIS 15 11 2021 2021-11-15 10.1016/j.geoderma.2021.115176 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2021-06-24T09:43:45.1326233 2021-05-18T13:03:10.6795778 College of Science Geography D. Carless 1 Bernd Kulessa 0000-0002-4830-4949 2 A.D. Booth 3 Y. Drocourt 4 P. Sinnadurai 5 F. Alayne Street-Perrott 6 P. Jansson 7 Under embargo Under embargo 2021-06-24T09:41:53.1403050 Output 1135513 application/pdf Accepted Manuscript true 2022-05-05T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng
title An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
spellingShingle An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
Bernd, Kulessa
title_short An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
title_full An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
title_fullStr An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
title_full_unstemmed An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
title_sort An integrated geophysical and GIS based approach improves estimation of peatland carbon stocks
author_id_str_mv 52acda616e9f6073cbebf497def874c9
author_id_fullname_str_mv 52acda616e9f6073cbebf497def874c9_***_Bernd, Kulessa
author Bernd, Kulessa
author2 D. Carless
Bernd Kulessa
A.D. Booth
Y. Drocourt
P. Sinnadurai
F. Alayne Street-Perrott
P. Jansson
format Journal article
container_title Geoderma
container_volume 402
container_start_page 115176
publishDate 2021
institution Swansea University
issn 0016-7061
doi_str_mv 10.1016/j.geoderma.2021.115176
publisher Elsevier BV
college_str College of Science
hierarchytype
hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Geography{{{_:::_}}}College of Science{{{_:::_}}}Geography
document_store_str 0
active_str 0
published_date 2021-11-15T04:23:16Z
_version_ 1714560377766805504
score 10.830003