Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.rse.2014.01.024 |
Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests | |
Tanase, Mihai A.1; Panciera, Rocco1; Lowell, Kim1; Tian, Siyuan1; Hacker, Jorg M.2; Walker, Jeffrey P.3 | |
通讯作者 | Tanase, Mihai A. |
来源期刊 | REMOTE SENSING OF ENVIRONMENT
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ISSN | 0034-4257 |
EISSN | 1879-0704 |
出版年 | 2014 |
卷号 | 145页码:93-104 |
英文摘要 | Using the airborne Polarimetric L-band Imaging Synthetic aperture radar (PUS) the impact of high revisit cycle and full polarimetric acquisitions on biomass retrieval was investigated by means of backscatter-based multi-temporal methods. Parametric and non-parametric models were used to relate reference biomass levels obtained from field plot measurements and high point density lidar data to backscatter intensities or polarimetric target decomposition components. Single-date retrieval using multiple independent variables provided lower estimation errors when compared to models using one independent variable with errors decreasing by 2% to 15%. The multi-temporal aggregation of daily biomass estimates did not improve the overall retrieval accuracy but provided more reliable estimates with respect to single-date methods. Backscatter intensities improved estimation accuracies up to 10% compared to polarimetric target decomposition components. Using all four polarizations increased the estimation accuracy marginally (2%). when compared to a dual-polarized system. The biomass estimation error was considerably reduced (up to 30%) only by decreasing the spatial resolution and was related to decreasing forest variability with increasing pixel size. These results indicate that, at least in semi-arid areas, future L-band missions would not significantly improve biomass estimation accuracy using backscatter-based modeling approaches despite their better spatial resolution, higher revisit cycles and the availability of fully polarimetric information. (C) 2014 Elsevier Inc All rights reserved. |
英文关键词 | Forest biomass L-band radar Multi-temporal Polarimetric decomposition Random forest Forest variability |
类型 | Article |
语种 | 英语 |
国家 | Australia |
收录类别 | SCI-E |
WOS记录号 | WOS:000335113200009 |
WOS关键词 | ESTIMATING ABOVEGROUND BIOMASS ; BOREAL FOREST ; RADAR BACKSCATTER ; SCATTERING-MODEL ; PARAMETER-ESTIMATION ; SPATIAL VARIABILITY ; TROPICAL FORESTS ; STEM VOLUME ; CLASSIFICATION ; RETRIEVAL |
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 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/184718 |
作者单位 | 1.Univ Melbourne, Cooperat Res Ctr Spatial Informat, Melbourne, Vic 3010, Australia; 2.Flinders Univ S Australia, Sch Environm, Airborne Res Australia, Adelaide, SA, Australia; 3.Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia |
推荐引用方式 GB/T 7714 | Tanase, Mihai A.,Panciera, Rocco,Lowell, Kim,et al. Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests[J],2014,145:93-104. |
APA | Tanase, Mihai A.,Panciera, Rocco,Lowell, Kim,Tian, Siyuan,Hacker, Jorg M.,&Walker, Jeffrey P..(2014).Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests.REMOTE SENSING OF ENVIRONMENT,145,93-104. |
MLA | Tanase, Mihai A.,et al."Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests".REMOTE SENSING OF ENVIRONMENT 145(2014):93-104. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Airborne multi-tempo(1146KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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