Estimating snow water equivalent with backscattering at X and Ku band based on absorption loss
文献类型：期刊论文
| 作者 | Cui, Yurong1; Xiong, Chuan1; Lemmetyinen, Juha1; Shi, Jiancheng1; Jiang, Lingmei1; Peng, Bin1; Li, Huixuan1; Zhao, Tianjie1; Ji, Dabin1; Hu, Tongxi1 |
| 刊名 | Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:6 |
| 关键词 | REMOTE-SENSING DATA AVHRR-NDVI AGRICULTURAL DROUGHT EAST-AFRICA NOAA-AVHRR CHINA RAINFALL REGIONS EVAPOTRANSPIRATION PERFORMANCE |
| 通讯作者 | Xiong, Chuan (xiongchuan@radi.ac.cn) |
| 英文摘要 | Snow water equivalent (SWE) is a key parameter in the Earth's energy budget and water cycle. It has been demonstrated that SWE can be retrieved using active microwave remote sensing from space. This necessitates the development of forward models that are capable of simulating the interactions of microwaves and the snow medium. Several proposed models have described snow as a collection of sphere- or ellipsoid-shaped ice particles embedded in air, while the microstructure of snow is, in reality, more complex. Natural snow usually forms a sintered structure following mechanical and thermal metamorphism processes. In this research, the bi-continuous vector radiative transfer (bi-continuous-VRT) model, which firstly constructs snow microstructure more similar to real snow and then simulates the snow backscattering signal, is used as the forward model for SWE estimation. Based on this forward model, a parameterization scheme of snow volume backscattering is proposed. A relationship between snow optical thickness and single scattering albedo at X and Ku bands is established by analyzing the database generated from the bi-continuous-VRT model. A cost function with constraints is used to solve effective albedo and optical thickness, while the absorption part of optical thickness is obtained from these two parameters. SWE is estimated after a correction for physical temperature. The estimated SWE is correlated with the measured SWE with an acceptable accuracy. Validation against two-year measurements, using the SnowScat instrument from the Nordic Snow Radar Experiment (NoSREx), shows that the estimated SWE using the presented algorithm has a root mean square error (RMSE) of 16.59 mm for the winter of 2009-2010 and 19.70 mm for the winter of 2010-2011. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20162502526981 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39221]  |
| 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. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. Finnish Meteorological Institute, P.O. Box 503, Helsinki 4.Fin-00101, Finland 5. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 6.100875, China 7. Department of Geography, University of South Carolina, Callcott Building 709 Bull Street, Columbia 8.SC 9.29208, United States |
| 推荐引用方式 GB/T 7714 | Cui, Yurong,Xiong, Chuan,Lemmetyinen, Juha,et al. Estimating snow water equivalent with backscattering at X and Ku band based on absorption loss[J]. Remote Sensing,2016,8(6). |
| APA | Cui, Yurong.,Xiong, Chuan.,Lemmetyinen, Juha.,Shi, Jiancheng.,Jiang, Lingmei.,...&Hu, Tongxi.(2016).Estimating snow water equivalent with backscattering at X and Ku band based on absorption loss.Remote Sensing,8(6). |
| MLA | Cui, Yurong,et al."Estimating snow water equivalent with backscattering at X and Ku band based on absorption loss".Remote Sensing 8.6(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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