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无人机精准监测甘蔗长势技术研究与应用 被引量:4

Research and application of UAV precisely monitoring technology of sugarcane growth
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摘要 及时准确的甘蔗长势信息对于科学种植指导和产量预估极其重要。为满足产业发展需求,本文研究无人机精准监测甘蔗长势技术,选取广西壮族自治区糖料蔗“双高”基地扶绥“甜蜜之光”开展应用。首先,通过无人机遥感平台采集2019—2020年同期高清影像,经过处理后生成可见光影像和甘蔗田块信息;其次,计算无人机植被指数NGRDI、EGRBDI、RGBVI、NGBDI、ExG、GLI,分别与同期卫星影像NDVI进行相关性分析;最后,选取相关性最高的植被指数与上年同期植被指数开展长势监测。结果表明,NGBDI与NDVI正相关性最高,其相关系数为0.805,试验区2020年8月甘蔗长势比上年优、与上年持平、比上年差的比例分别为27.04%、52.79%、20.17%,甘蔗产量有望增产。 Timely and accurate acquisition of sugarcane growth information is extremely important for scientific planting guidance and yield estimation.In order to meet the needs of the industry,the article researches on drones to accurately monitor sugarcane growth technology and selects Fusui"Sweet Light",a sugarcane"double high"base in Guangxi,for application.Firstly,the UAV remote sensing platform has been used to collect high-definition photos of the same period from 2019 to 2020,and then the visible light image and sugarcane field information are generated after processing.Secondly,UAV vegetation index of NGRDI,EGRBDI,RGBVI,NGBDI,ExG and GLI have been calculated for correlation analysis with the corresponding satellite image NDVI.Finally,the vegetation index with the highest correlation and the vegetation index in the same period of the previous year are selected for growth monitoring.The results show that the positive correlation between NGBDI and NDVI is the highest,with a correlation coefficient of 0.805.The growth rate of sugarcane in the test area in August 2020 is better than that of the previous year,the same as the previous year,and worse than that of the previous year,the proportions of which are 27.04%,52.79%,and 20.17%respectively.Sugarcane production is expected to increase.
作者 谢国雪 马灿达 张秀龙 苏秋群 杨妮 黄启厅 XIE Guoxue;MA Canda;ZHANG Xiulong;SU Qiuqun;YANG Ni;HUANG Qiting(Agricultural Science and Technology Information Research Institute,Guangxi Academy of Agricultural Sciences,Nanning 530007,China;School of Management Science and Engineering,Guangxi University of Finance and Economics,Nanning 530003,China)
出处 《国土资源信息化》 2021年第1期6-11,共6页 Land and Resources Informatization
基金 国家自然科学基金项目(42061071) 农业农村部数字农业建设项目“糖料蔗全产业链大数据平台建设与应用” 广西创新驱动发展专项资金项目(桂科AA18118048、桂科AA18118046) 广西壮族自治区农业科学院基金项目“基于地面实测与遥感技术协同的广西柑橘黄龙病特征动态变化研究”(桂农科2020YM82)。
关键词 无人机 精准监测 甘蔗 长势 技术应用 unmanned aerial vehicle precise monitoring sugarcane growth technical application
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