A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios
文献类型：期刊论文
| 作者 | Zeng, Yelu1; Li, Jing1; Liu, Qinhuo1; Huete, Alfredo R.1; Yin, Gaofei1; Xu, Baodong1; Fan, Weiliang1; Zhao, Jing1; Yan, Kai1; Mu, Xihan1 |
| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 54期号:8页码:4613-4628 |
| 关键词 | IN-SITU OBSERVATIONS MICROWAVE EMISSION SURFACE-TEMPERATURE SATELLITE MODEL VALIDATION VEGETATION ASCAT SMOS ASSIMILATION |
| 通讯作者 | Liu, Qinhuo (liuqh@radi.ac.cn) |
| 英文摘要 | Landscape heterogeneity is a common natural phenomenon but is seldom considered in current radiative transfer (RT) models for predicting the surface reflectance. This paper developed an analytical RT model for heterogeneous Agro-Forestry scenarios (RTAF) by dividing the scenario into nonboundary regions (NRs) and boundary regions (BRs). The scattering contribution of the NRs can be estimated from the scattering-by-arbitrarily-inclined-leaves-with-the-hot-spot-effect model as homogeneous canopies, whereas that of the BRs is calculated based on the bidirectional gap probability by considering the interactions and mutual shadowing effects among different patches. The multiangular airborne observations and discrete-anisotropic-RT model simulations were used to validate and evaluate the RTAF model over an agro-forestry scenario in the Heihe River Basin, China. The results suggest that the RTAF model can accurately simulate the hemispherical-directional reflectance factors (HDRFs) of the heterogeneous scenarios in the red and near-infrared (NIR) bands. The boundary effect can significantly influence the angular distribution of the HDRFs and consequently enlarge the HDRF variations between the backward and forward directions. Compared with the widely used dominant cover type (DCT) and spectral linear mixture (SLM) models, the RTAF model reduced the maximum relative error from 25.7% (SLM) and 23.0% (DCT) to 9.8% in the red band and from 19.6% (DCT) and 13.7% (SLM) to 8.7% in the NIR band. The RTAF model provides a promising way to improve the retrieval of biophysical parameters (e.g., leaf area index) from remote sensing data over heterogeneous agro-forestry scenarios. © 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:20161702300768 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39179]  |
| 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. 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. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 8.100101, China 9. Beijing Normal University, Beijing 10.100875, China |
| 推荐引用方式 GB/T 7714 | Zeng, Yelu,Li, Jing,Liu, Qinhuo,et al. A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(8):4613-4628. |
| APA | Zeng, Yelu.,Li, Jing.,Liu, Qinhuo.,Huete, Alfredo R..,Yin, Gaofei.,...&Mu, Xihan.(2016).A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios.IEEE Transactions on Geoscience and Remote Sensing,54(8),4613-4628. |
| MLA | Zeng, Yelu,et al."A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios".IEEE Transactions on Geoscience and Remote Sensing 54.8(2016):4613-4628. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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