IMR OpenIR
Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics
Gao, Tian1,2; Zhu, J. J.1,2; Yan, Q. L.1,2; Deng, S. Q.3; Zheng, X.1,2; Zhang, J. X.1,2; Shang, G. D.1,2,4
Corresponding AuthorZhu, J. J.(jiaojunzhu@iae.ac.cn)
2018
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume39Issue:22Pages:7978-7997
AbstractReliable spatial information on growing stock volume (GSV) and biomass is critical for creating management strategies for plantation forests. This study developed empirical models to map the GSV and biomass of larch plantations (LPs) in Northeast China (1.25 million km(2) total area) by integrating L-band synthetic aperture radar (SAR) data with ground-based survey data. The best correlation model was used to map the GSVs and biomasses of LPs. The total GSV and biomass carbon storage were estimated at 224.3 +/- 59.0 million m(3) and 113.0 +/- 29.7 x 10(12) g C with average densities of 85.1 m(3) ha(-1) and 42.9 10(6) g x C ha(-1), respectively, over a total area of 2.64 million ha. The saturation effect of SAR was determined beyond 260 m(3) ha(-1), which was expected to influence the estimations for a small proportion of the study area. The accuracy of the estimations has limitations mainly due to the uncertainties in the GSV inventories, discrimination of natural larch and the SAR dataset. Based on the mapping results of the GSVs of LPs, a planning strategy for multipurpose management was tentatively proposed. This study can inform policies and management practices to assure broader and sustainable benefits from plantation forests in the future.
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program)
DOI10.1080/01431161.2018.1479793
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFD0600206] ; National Natural Science Foundation of China[31500466] ; National Basic Research Program of China (973 Program)[2012CB416906]
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000456452100005
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/131375
Collection中国科学院金属研究所
Corresponding AuthorZhu, J. J.
Affiliation1.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang, Liaoning, Peoples R China
2.Chinese Acad Sci, Qingyuan Forest CERN, Shenyang, Liaoning, Peoples R China
3.Shinshu Univ, Inst Mt Sci, Nagano, Japan
4.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Gao, Tian,Zhu, J. J.,Yan, Q. L.,et al. Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(22):7978-7997.
APA Gao, Tian.,Zhu, J. J..,Yan, Q. L..,Deng, S. Q..,Zheng, X..,...&Shang, G. D..(2018).Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(22),7978-7997.
MLA Gao, Tian,et al."Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.22(2018):7978-7997.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Gao, Tian]'s Articles
[Zhu, J. J.]'s Articles
[Yan, Q. L.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Gao, Tian]'s Articles
[Zhu, J. J.]'s Articles
[Yan, Q. L.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Gao, Tian]'s Articles
[Zhu, J. J.]'s Articles
[Yan, Q. L.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.