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Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops
Zhao, Feng1; Li, Yuguang1; Dai, Xu1; Verhoef, Wout1; Guo, Yiqing1; Shang, Hong1; Gu, Xingfa1; Huang, Yanbo1; Yu, Tao1; Huang, Jianxi1
刊名REMOTE SENSING OF ENVIRONMENT
2015
卷号156
关键词Field measurements Field of view Bidirectional reflectance factor Sensor footprint Monte Carlo model Weighted photon spread model (WPS) Row crops
通讯作者Zhao, F (reprint author), Beijing Univ Aeronaut & Astronaut, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China.
英文摘要It is well established that a natural surface exhibits anisotropic reflectance properties that depend on the characteristics of the surface. Spectral measurements of the bidirectional reflectance factor (BRF) at ground level provide us a method to capture the directional characteristics of the observed surface. Various spectroradiometers with different field of views (FOVs) were used under different mounting conditions to measure crop reflectance. The impact and uncertainty of sensor FOV and distance from the target have rarely been considered. The issue can be compounded with the characteristic reflectance of heterogeneous row crops. Because of the difficulty of accurately obtaining field measurements of crop reflectance under natural environments, a method of computer simulation was proposed to study the impact of sensor FOV and distance on field measured BRFs. A Monte Carlo model was built to combine the photon spread method and the weight reduction concept to develop the weighted photon spread (WPS) model to simulate radiation transfer in architecturally realistic canopies. Comparisons of the Monte Carlo model with both field BRF measurements and the RAMI Online Model Checker (ROMC) showed good agreement. BRFs were then simulated for a range of sensor FOV and distance combinations and compared with the reference values (distance at infinity) for two typical row canopy scenes. Sensors with a finite FOV and distance from the target approximate the reflectance anisotropy and yield average values over FOV. Moreover, the perspective projection of the sensor causes a proportional distortion in the sensor FOV from the ideal directional observations. Though such factors inducing the measurement error exist, it was found that the BRF can be obtained with a tolerable bias on ground level with a proper combination of sensor FOV and distance, except for the hotspot direction and the directions around it Recommendations for the choice of sensor FOV and distance are also made to reduce the bias from the real angular signatures in field BRF measurement for row crops. (C) 2014 Elsevier Inc. All rights reserved.
研究领域[WOS]Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:000347579900011
内容类型期刊论文
源URL[http://ir.ceode.ac.cn/handle/183411/38527]  
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.[Zhao, Feng
2.Li, Yuguang
3.Dai, Xu
4.Guo, Yiqing
5.Shang, Hong] Beijing Univ Aeronaut & Astronaut, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China
6.[Li, Yuguang] SUNY Syracuse, Coll Environm Sci & Forestry, Syracuse, NY 13210 USA
7.[Verhoef, Wout] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
8.[Gu, Xingfa
9.Yu, Tao] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
10.[Huang, Yanbo] ARS, USDA, Crop Prod Syst Res Unit, Stoneville, MS 38776 USA
推荐引用方式
GB/T 7714
Zhao, Feng,Li, Yuguang,Dai, Xu,et al. Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops[J]. REMOTE SENSING OF ENVIRONMENT,2015,156.
APA Zhao, Feng.,Li, Yuguang.,Dai, Xu.,Verhoef, Wout.,Guo, Yiqing.,...&Huang, Jianxi.(2015).Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops.REMOTE SENSING OF ENVIRONMENT,156.
MLA Zhao, Feng,et al."Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops".REMOTE SENSING OF ENVIRONMENT 156(2015).
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