| A novel simplified algorithm for bare surface soil moisture retrieval using l-band radiometer | |
| Zhu, Bin1; Song, Xiaoning1; Leng, Pei2; Sun, Chuan1; Wang, Ruixin1; Jiang, Xiaoguang1 | |
| 刊名 | Isprs international journal of geo-information
 |
| 2016-08-01 | |
| 卷号 | 5期号:8页码:15 |
| 关键词 | L-band Advanced integral equation model (aiem) Dobson model Surface soil moisture Surface roughness |
| ISSN号 | 2220-9964 |
| DOI | 10.3390/ijgi5080143 |
| 通讯作者 | Song, xiaoning(songxn@ucas.ac.cn) |
| 英文摘要 | Soil moisture plays an important role in understanding climate change and hydrology, and l-band passive microwave radiometers have been verified as effective tools for monitoring soil moisture. this paper proposes a novel, simplified algorithm for bare surface soil moisture retrieval using l-band radiometer. the algorithm consists of two sub-algorithms: a surface emission model and a soil moisture retrieval model. in analyses of the advanced integral equation model (aiem) simulated database, the surface emission model was developed to diminish the effects of surface roughness using dual-polarization surface reflectivity. the soil moisture retrieval model, which was calibrated using the dobson simulated database, is based on the relationship between the adjusted real refractive index n-r and the volumetric soil moisture. soil moisture can be determined via a numerical solution that uses several freely available input parameters: dual-polarization microwave brightness temperature, surface temperature, and the contents of sand and clay. the results showed good agreement with the input soil moisture values simulated by the aiem model, with root mean square errors (rmses) lower than 3% at all incidence angles. the algorithm was then verified based on data from the four-year l-band experiments conducted at beltsville agricultural research center (barc) test sites, achieving rmses of 4.3% and 3.4% at 40 degrees and 50 degrees, respectively. these results indicate that the simplified algorithm proposed in this paper shows a very good accuracy in soil moisture retrieval. additionally, the algorithm exhibits a better performance for the large incidence angle radiometers in l-band such as those produced by the soil moisture active and passive (smap). |
| WOS关键词 | MICROWAVE EMISSION ; ROUGHNESS ; MODEL ; POLARIZATION ; VEGETATION ; MISSION |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| WOS类目 | Geography, Physical ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI AG |
| WOS记录号 | WOS:000385531500017 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/2374834 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Song, Xiaoning |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Agr Sci, Minist Agr, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Bin,Song, Xiaoning,Leng, Pei,et al. A novel simplified algorithm for bare surface soil moisture retrieval using l-band radiometer[J]. Isprs international journal of geo-information,2016,5(8):15. |
| APA | Zhu, Bin,Song, Xiaoning,Leng, Pei,Sun, Chuan,Wang, Ruixin,&Jiang, Xiaoguang.(2016).A novel simplified algorithm for bare surface soil moisture retrieval using l-band radiometer.Isprs international journal of geo-information,5(8),15. |
| MLA | Zhu, Bin,et al."A novel simplified algorithm for bare surface soil moisture retrieval using l-band radiometer".Isprs international journal of geo-information 5.8(2016):15. |
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