Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations
文献类型:期刊论文
| 作者 | Bian, Zunjian1; Xiao, Qing1; Cao, Biao1; Du, Yongming1; Li, Hua1; Wang, Heshun1; Liu, Qinhuo1; Liu, Qiang1 |
| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
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| 出版日期 | 2016 |
| 卷号 | 54期号:8页码:4660-4671 |
| 关键词 | PERIODIC LOSSY STRUCTURES ROUGH SURFACES SIMULATIONS CALIBRATION ABSORPTION SATELLITE WAVELETS SYSTEMS ARRAY |
| 通讯作者 | Du, Yongming (duym@radi.ac.cn) |
| 英文摘要 | Land surface component temperatures are important inputs in longwave radiation and evapotranspiration estimation models. Most component temperature inversion approaches focus only on two components, namely, soil and leaves, because space-based multiangle observations are lacking. This approach is inconsistent with ground-based measurements, which suggest that the temperatures of sunlit and shaded soil may significantly differ. This paper explores a three-component temperature inversion scheme that uses airborne multiangle thermal infrared observations to decrease the difference between the retrieved data and the actual subpixel temperature distribution. The FR97 model, which is an analytical directional brightness temperature model that was modified by dividing the soil component into sunlit and shaded portions, is adopted to calculate the matrix of component effective emissivity, which links multiangular observations and component temperatures. The new forward model and the inversion scheme are assessed using simulated data sets from the Scattering by Arbitrarily Inclined Leaves (4SAIL) model. The results indicate that the modified FR97 model provides good precision and that the inversion scheme based on the modified FR97 model is appropriate because of the model's simplicity and accuracy and the inversion's low sensitivity to noise. The inversion scheme is validated using airborne data collected by the wide-angle infrared dual-mode line/area array scanner over an area planted with maize and ground measurements collected during the Heihe Watershed Allied Telemetry Experimental Research campaign. The results indicate that the root mean square errors of the component temperatures of the leaves, sunlit soil, and shaded soil were 0.72 °C, 1.55 °C, and 2.73 °C, respectively. Because of the modified FR97's straightforward form and acceptable precision, we recommend this new retrieval scheme as an option for retrieving the component temperatures of leaves, sunlit soil, and shaded soil. © 2016 IEEE. |
| 学科主题 | Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161702300752 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39192] ![]() |
| 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. Joint Center for Global Change Studies, Beijing 4.100875, China 5. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 6.100049, China 7. Earth System Science Interdisciplinary Center, University of Maryland, College Park 8.MD 9.20740, United States 10. College of Global Change and Earth System Science, Beijing Normal University, Beijing |
| 推荐引用方式 GB/T 7714 | Bian, Zunjian,Xiao, Qing,Cao, Biao,et al. Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(8):4660-4671. |
| APA | Bian, Zunjian.,Xiao, Qing.,Cao, Biao.,Du, Yongming.,Li, Hua.,...&Liu, Qiang.(2016).Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations.IEEE Transactions on Geoscience and Remote Sensing,54(8),4660-4671. |
| MLA | Bian, Zunjian,et al."Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations".IEEE Transactions on Geoscience and Remote Sensing 54.8(2016):4660-4671. |
入库方式: OAI收割
来源:遥感与数字地球研究所
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