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雷庄水位和钟祥马岭水位对九寨沟地震的响应
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作者 涂先新 《城市地理》 2017年第12X期75-76,共2页
地震是地球活动的一种表现形式,有一些大地震凭借人类的感知可以察觉到,小地震只能依靠地震相关的仪器进行记录,这些仪器记录到的地震资料可以为我们研究地震提供数据服务。地震监测、预报的手段有很多,其中水位监测不仅是地震前兆预报... 地震是地球活动的一种表现形式,有一些大地震凭借人类的感知可以察觉到,小地震只能依靠地震相关的仪器进行记录,这些仪器记录到的地震资料可以为我们研究地震提供数据服务。地震监测、预报的手段有很多,其中水位监测不仅是地震前兆预报的一种常用手段,同时水位也可以记录到地震的发生、经过,本文选取雷庄井、钟祥马岭井的数位资料,以2017年8月8日四川阿坝州九寨沟地震为背景,发现两口水位井都记录到了此次地震,二者在同震响应上略有不同,其中雷庄井表现为阶变型,钟祥马岭井表现为震荡型。 展开更多
关键词 九寨沟地震 雷庄 钟祥马岭 水位
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Crop 3D a LiDAR based platform for 3D high-throughput crop phenotyping 被引量:21
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作者 Qinghua Guo Fangfang Wu +8 位作者 Shuxin Pang Xiaoqian Zhao Linhai Chen Jin Liu Baolin Xue Guangcai Xu Le Li Haichun Jing Chengcai Chu 《Science China(Life Sciences)》 SCIE CAS CSCD 2018年第3期328-339,共12页
With the growing population and the reducing arable land, breeding has been considered as an effective way to solve the food crisis.As an important part in breeding, high-throughput phenotyping can accelerate the bree... With the growing population and the reducing arable land, breeding has been considered as an effective way to solve the food crisis.As an important part in breeding, high-throughput phenotyping can accelerate the breeding process effectively. Light detection and ranging(LiDAR) is an active remote sensing technology that is capable of acquiring three-dimensional(3 D) data accurately,and has a great potential in crop phenotyping. Given that crop phenotyping based on LiDAR technology is not common in China,we developed a high-throughput crop phenotyping platform, named Crop 3 D, which integrated LiDAR sensor, high-resolution camera, thermal camera and hyperspectral imager. Compared with traditional crop phenotyping techniques, Crop 3 D can acquire multi-source phenotypic data in the whole crop growing period and extract plant height, plant width, leaf length, leaf width, leaf area, leaf inclination angle and other parameters for plant biology and genomics analysis. In this paper, we described the designs,functions and testing results of the Crop 3 D platform, and briefly discussed the potential applications and future development of the platform in phenotyping. We concluded that platforms integrating LiDAR and traditional remote sensing techniques might be the future trend of crop high-throughput phenotyping. 展开更多
关键词 crop breeding phenotypic traits data fusion LIDAR HIGH-THROUGHPUT integrated platform
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