Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass
文献类型：期刊论文
| 作者 | Huang, Wenli1; Sun, Guoqing1; Ni, Wenjian1; Zhang, Zhiyu1; Dubayah, Ralph1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:8页码:1871-1881 |
| 通讯作者 | Huang, WL (reprint author), Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA. |
| 英文摘要 | Accurate estimates of forest aboveground biomass (AGB) after anthropogenic disturbance could reduce uncertainties in the carbon budget of terrestrial ecosystems and provide critical information to policy makers. Yet, the loss of carbon due to forest disturbance and the gain from post-disturbance recovery have not been sufficiently assessed. In this study, a sensitivity analysis was first conducted to investigate: (1) the influence of incidence angle and soil moisture on Synthetic Aperture Radar (SAR) backscatter; (2) the feasibility of cross-image normalization between multi-temporal and multi-sensor SAR data; and (3) the possibility of applying normalized backscatter data to detect forest biomass changes. An empirical model was used to reduce incidence angle effects, followed by cross-image normalization procedure to lessen soil moisture effect. Changes in forest biomass at medium spatial resolution (100 m) were mapped using both spaceborne and airborne SAR data. Results indicate that (1) the effect of incidence angle on SAR backscatter could be reduced to less than 1 dB by the correction model for airborne SAR data; (2) over 50% of the changes in SAR backscatter due to soil moisture could be eliminated by the cross-image normalization procedure; and (3) forest biomass changes greater than 100 Mg center dot ha(-1) or above 50% of 150 Mg center dot ha(-1) are detectable using cross-normalized SAR data. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000360818800006 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38399]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Huang, Wenli 2.Sun, Guoqing 3.Dubayah, Ralph] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 4.[Ni, Wenjian 5.Zhang, Zhiyu] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 6.[Ni, Wenjian 7.Zhang, Zhiyu] Beijing Normal Univ, Chinese Acad Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Wenli,Sun, Guoqing,Ni, Wenjian,et al. Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass[J]. REMOTE SENSING,2015,7(8):1871-1881. |
| APA | Huang, Wenli,Sun, Guoqing,Ni, Wenjian,Zhang, Zhiyu,&Dubayah, Ralph.(2015).Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass.REMOTE SENSING,7(8),1871-1881. |
| MLA | Huang, Wenli,et al."Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass".REMOTE SENSING 7.8(2015):1871-1881. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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