| 地面多角度农业遥感观测装置设计与试验 |
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| 引用本文： | 张东彦,王秀,Coburn Craig,王之杰,赵晋陵,郝强.地面多角度农业遥感观测装置设计与试验[J].农业机械学报,2013,44(1):174-178,173. |
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| 作者姓名： | 张东彦 王秀 Coburn Craig 王之杰 赵晋陵 郝强 |
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| 作者单位： | 1. 北京农业信息技术研究中心,北京,100097
2. 莱斯布里奇大学地理学院,莱斯布里奇T1K 3M4 |
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| 基金项目： | 国家重点基础研究发展计划（973计划）资助项目（2011CB311806）;国家自然科学基金资助项目（41071228、 41101395） |
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| 摘 要： | 针对现有多角度对地观测设备存在机动性差、操作周期长、无法搭载较重仪器等问题,设计了一种面向作物信息快速获取的地面多角度农业遥感观测装置(GAMOD)及信息采集控制系统,利用该装置同步搭载高清相机和可见-近红外成像光谱仪(VNIHS)进行大田观测,耗时10 min(所需时间由观测角度决定)可快速获取太阳主平面(0°、180°)和垂直太阳主平面(90°、270°)下4个观测天顶角(0°、20°、40°、60°)的大豆植被影像数据.结果表明:该装置及控制软件运行良好,在多角度观测方式支持下,能有效捕捉到大豆植被三维立体的结构信息.
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| 关 键 词： | 作物信息 对地观测 遥感 多角度 |
Design and Experiment of Ground-based Agriculture-oriented Multi-angle Observation Device |
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| Zhang Dongyan,Wang Xiu,Coburn Craig,Wang Zhijie,Zhao Jinling and Hao Qiang.Design and Experiment of Ground-based Agriculture-oriented Multi-angle Observation Device[J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(1):174-178,173. |
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| Authors: | Zhang Dongyan Wang Xiu Coburn Craig Wang Zhijie Zhao Jinling and Hao Qiang |
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| Institution: | Beijing Research Center for Information Technology in Agriculture;Beijing Research Center for Information Technology in Agriculture;University of Lethbridge;University of Lethbridge;Beijing Research Center for Information Technology in Agriculture;Beijing Research Center for Information Technology in Agriculture |
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| Abstract: | Currently, most existing multi-angular earth observation equipments are inflexible, have long operation time and light pay-load capacities. To overcome the limitations mentioned above, the ground-based agriculture-oriented multi-angle observation device (GAMOD), oriented to fast acquire crop multi-angular data, was designed. The GAMOD was tested in a soybean field with visible/near-infrared imaging hyperspectral spectrometer (VNIHS) mounted on. It takes 10min to acquire multi-angular data at four view zenith angles of 0°, 20°, 40° and 60°, under azimuth angles of 0°, 90°, 180° and 270°, respectively. As a result, 3-D structure information of soybean group can be effectively captured by supporting of multi-angular observation. |
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| Keywords: | Crop information Earth observation Remote sensing Multi-angle |
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