Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain | |
Yan, Guangjian1; Wang, Tianxing1; Jiao, Zhonghu1; Mu, Xihan1; Zhao, Jing1; Chen, Ling1 | |
刊名 | Remote Sensing of Environment
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2016 | |
卷号 | 172页码:15-27 |
关键词 | SCATTERING POWER DECOMPOSITION GERMAN WADDEN SEA TIDAL FLATS COHERENCY MATRIX WATERLINE METHOD GRAIN-SIZE IMAGES MODEL SEDIMENTS SHORELINE |
通讯作者 | Wang, Tianxing |
英文摘要 | Longwave radiation (5-100 μm) is a critical component of the Earth's radiation budget. Most of the existing satellite-based retrieval algorithms are valid only for flat surfaces without accounting for topographic effects. This causes significant errors. Meanwhile, the fixed spatial resolution of remote sensing data makes it difficult to link the satellite-derived longwave radiation to different land models running on various scales. These deficiencies result in an urgent need for topographic modeling and spatial scaling studies of longwave radiation. In this paper, a longwave topographic radiation model (LWTRM) is proposed that quantifies all possible radiation-affecting factors over rugged terrain. For driving the LWTRM, a hybrid method for simultaneously deriving multiple components of longwave radiation from MODIS data is suggested based on artificial neuron networks (ANN) and the radiative transfer simulation. Topographically corrected longwave radiation is then derived by coupling the ANN outputs and LWTRM. Based on this, a general upscaling strategy for longwave radiation is presented. The results demonstrate that: (1) both the proposed LWTRMand the upscaling strategy are rather effective and work well over rugged areas; (2) the ANN-based retrieval method can produce longwave radiation with better accuracy(RMSE b23W/m2, bias b9W/m2).More importantly, it can simultaneously derive multiple components of longwave radiation in a consistent manner; (3) over mountainous areas, the radiation cannot be accurately characterized in terms of either spatial distribution or specific values if topographic effects are neglected, for instance, the induced error can reach up to 100 W/m2 for the longwave net flux; and (4) the topographic effects cannot be ignored below spatial scale of approximately 5 km in the selected study area. © 2015 Elsevier Inc. |
学科主题 | Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology |
类目[WOS] | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20154601540355 |
内容类型 | 期刊论文 |
源URL | [http://ir.radi.ac.cn/handle/183411/39418] ![]() |
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, School of Geography, Beijing Normal University, Beijing, China 2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3. The Academy of Forestry, Beijing Forestry University, Beijing, China |
推荐引用方式 GB/T 7714 | Yan, Guangjian,Wang, Tianxing,Jiao, Zhonghu,et al. Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain[J]. Remote Sensing of Environment,2016,172:15-27. |
APA | Yan, Guangjian,Wang, Tianxing,Jiao, Zhonghu,Mu, Xihan,Zhao, Jing,&Chen, Ling.(2016).Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain.Remote Sensing of Environment,172,15-27. |
MLA | Yan, Guangjian,et al."Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain".Remote Sensing of Environment 172(2016):15-27. |
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