Journal article 14 views
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8
Bo Zhang,
Li Zhang,
Peter North
,
Cheng Huang,
Mingzhe Li,
Yuanyong Dian,
Wangfei Zhang,
Jingjing Zhou,
Min Yan,
Bowei Chen
Smart Forestry, Volume: 1, Issue: 1
Swansea University Author:
Peter North
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.48130/smartfor-0026-0006
Abstract
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8
| Published in: | Smart Forestry |
|---|---|
| ISSN: | 3142-8487 |
| Published: |
Maximum Academic Press
2026
|
| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa72002 |
| first_indexed |
2026-06-01T16:38:41Z |
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| last_indexed |
2026-06-02T08:41:12Z |
| id |
cronfa72002 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2026-06-01T17:38:39.1062773</datestamp><bib-version>v2</bib-version><id>72002</id><entry>2026-06-01</entry><title>Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8</title><swanseaauthors><author><sid>fc45a0cb36c24d6cf35313a8c808652f</sid><ORCID>0000-0001-9933-6935</ORCID><firstname>Peter</firstname><surname>North</surname><name>Peter North</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2026-06-01</date><deptcode>BGPS</deptcode><abstract/><type>Journal Article</type><journal>Smart Forestry</journal><volume>1</volume><journalNumber>1</journalNumber><paginationStart>0</paginationStart><paginationEnd>0</paginationEnd><publisher>Maximum Academic Press</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>3142-8487</issnPrint><issnElectronic/><keywords/><publishedDay>28</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2026</publishedYear><publishedDate>2026-01-28</publishedDate><doi>10.48130/smartfor-0026-0006</doi><url>https://doi.org/10.48130/smartfor-0026-0006</url><notes/><college>COLLEGE NANME</college><department>Biosciences Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2026-06-01T17:38:39.1062773</lastEdited><Created>2026-06-01T17:36:56.4155676</Created><path><level id="1"/><level id="2"/></path><authors><author><firstname>Bo</firstname><surname>Zhang</surname><order>1</order></author><author><firstname>Li</firstname><surname>Zhang</surname><order>2</order></author><author><firstname>Peter</firstname><surname>North</surname><orcid>0000-0001-9933-6935</orcid><order>3</order></author><author><firstname>Cheng</firstname><surname>Huang</surname><order>4</order></author><author><firstname>Mingzhe</firstname><surname>Li</surname><order>5</order></author><author><firstname>Yuanyong</firstname><surname>Dian</surname><order>6</order></author><author><firstname>Wangfei</firstname><surname>Zhang</surname><order>7</order></author><author><firstname>Jingjing</firstname><surname>Zhou</surname><order>8</order></author><author><firstname>Min</firstname><surname>Yan</surname><order>9</order></author><author><firstname>Bowei</firstname><surname>Chen</surname><order>10</order></author></authors><documents/><OutputDurs/></rfc1807> |
| spelling |
2026-06-01T17:38:39.1062773 v2 72002 2026-06-01 Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 2026-06-01 BGPS Journal Article Smart Forestry 1 1 0 0 Maximum Academic Press 3142-8487 28 1 2026 2026-01-28 10.48130/smartfor-0026-0006 https://doi.org/10.48130/smartfor-0026-0006 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2026-06-01T17:38:39.1062773 2026-06-01T17:36:56.4155676 Bo Zhang 1 Li Zhang 2 Peter North 0000-0001-9933-6935 3 Cheng Huang 4 Mingzhe Li 5 Yuanyong Dian 6 Wangfei Zhang 7 Jingjing Zhou 8 Min Yan 9 Bowei Chen 10 |
| title |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 |
| spellingShingle |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 Peter North |
| title_short |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 |
| title_full |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 |
| title_fullStr |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 |
| title_full_unstemmed |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 |
| title_sort |
Enhanced retrieval of forest parameters for vegetated areas in Guangxi province of China through synergistic integration of GEDI and Landsat 8 |
| author_id_str_mv |
fc45a0cb36c24d6cf35313a8c808652f |
| author_id_fullname_str_mv |
fc45a0cb36c24d6cf35313a8c808652f_***_Peter North |
| author |
Peter North |
| author2 |
Bo Zhang Li Zhang Peter North Cheng Huang Mingzhe Li Yuanyong Dian Wangfei Zhang Jingjing Zhou Min Yan Bowei Chen |
| format |
Journal article |
| container_title |
Smart Forestry |
| container_volume |
1 |
| container_issue |
1 |
| container_start_page |
0 |
| publishDate |
2026 |
| institution |
Swansea University |
| issn |
3142-8487 |
| doi_str_mv |
10.48130/smartfor-0026-0006 |
| publisher |
Maximum Academic Press |
| url |
https://doi.org/10.48130/smartfor-0026-0006 |
| document_store_str |
0 |
| active_str |
0 |
| published_date |
2026-01-28T07:27:05Z |
| _version_ |
1866956040253210624 |
| score |
11.107121 |

