Improvement of near infrared ratio method in troposphere water vapor estimation with airborne remote sensing data
文献类型：期刊论文
| 作者 | Wang, Liang1; Zhao, Limin1; Zhao, Yanhua1; Xie, Yong1; Dong, Jianting1; Liu, Jingwang1; Yu, Tao1; Gu, Xingfa1 |
| 刊名 | Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica
 |
| 出版日期 | 2016 |
| 卷号 | 46期号:1页码:79-90 |
| 通讯作者 | Zhao, Limin (zhaolm@radi.ac.cn) |
| 英文摘要 | Using near-infrared radiance ratio between absorption channel (940 nm) and window channel (860 nm) to estimate water vapor content is a common method to retrieve water vapor with remote sensing data. For troposphere water vapor estimation with airborne remote sensing data, ready-made near-infrared ratio method introduces the influence of moisture between flight platform and the top of atmosphere. According to the aerial infrared camera image characteristics, using Modtran and TIGR data, define the following parameters: 1) R, the ratio between the water vapor content from surface to flight platform and the total atmospheric water vapor content; 2) G, the logarithm ratio between the water vapor transmittance from flight platform to land surface and the one from sun to surface on the incident path; 3) H, the logarithm ratio between the water vapor transmittance from flight platform to land surface on the incident path and the one from surface to flight platform on the emergent path, and build functional relation between G and R, H and solar incident angle respectively, and considering surface characteristics, build troposphere water vapor content retrieving model. Modtran simulation shows that the estimation precision is 0.22 g/cm2in a camera height of 1-7 km, and precision less than 0.5 g/cm2account for 95.30%. The measured data from airborne remote sensing experiment in Shangjie, Zhengzhou on May 28, 2014 shows that the estimation error is 0.16 g/cm2(12.8%) compared with simultaneous balloon sounding data, and priori knowledge about underlying surface improves model precision. This paper eliminates the influence of atmosphere above flight platform, increases model accuracy and adaptability, and provides reliable input for real-time thermal infrared remote sensing atmospheric correction. © 2016, Science Press. All right reserved. |
| 收录类别 | EI |
| 语种 | 中文 |
| WOS记录号 | WOS:20161002072969 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39616]  |
| 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. Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. School of Chemistry and Chemical Engineering, University of Chinese Academy of Sciences, Beijing, China 3. The Center for National Spaceborne Demonstration, Beijing, China 4. Beijing Institute of Space Machinery and Electricity, Beijing, China 5. North China Institute of Aerospace Engineering, Langfang, China |
| 推荐引用方式 GB/T 7714 | Wang, Liang,Zhao, Limin,Zhao, Yanhua,et al. Improvement of near infrared ratio method in troposphere water vapor estimation with airborne remote sensing data[J]. Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica,2016,46(1):79-90. |
| APA | Wang, Liang.,Zhao, Limin.,Zhao, Yanhua.,Xie, Yong.,Dong, Jianting.,...&Gu, Xingfa.(2016).Improvement of near infrared ratio method in troposphere water vapor estimation with airborne remote sensing data.Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica,46(1),79-90. |
| MLA | Wang, Liang,et al."Improvement of near infrared ratio method in troposphere water vapor estimation with airborne remote sensing data".Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica 46.1(2016):79-90. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。