Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/1.JRS.9.096036 |
Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery | |
Wang, Zhihui1,2; Bastin, Gary N.3; Liu, Liangyun1; Caccetta, Peter A.4; Peng, Dailiang1 | |
通讯作者 | Liu, Liangyun |
来源期刊 | JOURNAL OF APPLIED REMOTE SENSING
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ISSN | 1931-3195 |
出版年 | 2015 |
卷号 | 9 |
英文摘要 | Woody cover was found to be an easily measurable and significant variable for estimating woody above-ground biomass (AGB) based on in situ measurements in an arid zone of central Australia. In addition, the potential of woody cover to estimate woody AGB based on Landsat imagery was further tested. Linear spectral mixture analysis (LSMA) using multitemporal endmembers was employed to estimate the woody cover for Landsat imagery and the LSMA method was tested for different Landsat images under various drought conditions. The results show that the accuracy of the woody cover estimation increased as the accumulated rainfall prior to the image acquisition date decreased. Woody AGB across the study area was finally retrieved using the combination of plot-level woody AGB model and woody cover derived from dry-period Landsat images closest to the acquisition time of the field data, with an root mean square error of 0.798 t/ha. It is concluded that woody cover is able to replace tree basal area to estimate woody AGB at plot-level scale, and it is much more suitable for estimating woody AGB than the normalized difference vegetation index-AGB model for this arid zone covered with low-cover shrubs; however, woody AGB estimated using the proposed method is underestimated for some areas. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) |
英文关键词 | above-ground woody biomass woody cover linear spectral mixture analysis dry period high spatial resolution imagery Landsat imagery |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Australia |
收录类别 | SCI-E |
WOS记录号 | WOS:000357998600001 |
WOS关键词 | SYNTHETIC-APERTURE RADAR ; REMOTE-SENSING DATA ; FOREST BIOMASS ; BRAZILIAN AMAZON ; TRANSITION ZONE ; CARBON STOCKS ; VEGETATION ; DEFORESTATION ; COVER ; AFFORESTATION |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | Commonwealth Scientific and Industrial Research Organisation |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/188244 |
作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; 2.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China; 3.CSIRO Ecosyst Sci, Alice Springs, NT 0871, Australia; 4.CSIRO, Div Math Informat & Stat, Wembley, WA 6913, Australia |
推荐引用方式 GB/T 7714 | Wang, Zhihui,Bastin, Gary N.,Liu, Liangyun,et al. Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery[J]. Commonwealth Scientific and Industrial Research Organisation,2015,9. |
APA | Wang, Zhihui,Bastin, Gary N.,Liu, Liangyun,Caccetta, Peter A.,&Peng, Dailiang.(2015).Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery.JOURNAL OF APPLIED REMOTE SENSING,9. |
MLA | Wang, Zhihui,et al."Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery".JOURNAL OF APPLIED REMOTE SENSING 9(2015). |
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