[1]蒙良莉钟仕全童新华.基于 GF-1WFV数据的甘蔗种植面积监测[J].大众科技,2018,20(05):22-24.
　Monitoring of planting area of sugarcane based on GF-1WFV data[J].Popular Science & Technology,2018,20(05):22-24.
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基于 GF-1WFV数据的甘蔗种植面积监测()

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《大众科技》[ISSN:1008-1151/CN:45-1235/N]

作者:: 蒙良莉1; 2; 3; 4 钟仕全 3; 4 童新华1; 2; 1.广西师范学院地理科学与规划学院，广西南宁530001；2.北部湾环境演变与资源利用教育部重点实验室，广西南宁530001；3.广西壮族自治区气象减灾研究所，广西南宁530022；4.国家卫星气象中心遥感应用试验基地，广西南宁530022

Keywords:: Key words: GF-1; sugarcane; planting area; remote sensing monitoring

摘要:: 基于高分一号卫星（GF-1）的宽幅相机（WFV）数据，以广西扶绥县为例，引入坡度、耕地基础地理数据库。根据遥感影像的光谱特征，采用非监督分类、监督分类及NDVI剔除法相结合的方法，准确提取出该县甘蔗种植面积。经精度验证，GF-1WFV数据对扶绥县种植面积遥感监测总体精度为总精度达89.15%，Kappa系数为0.7803，生产者精度和用户精度分别为90.72%和87.21%，均达到农业生产的需求。结果表明，GF-1 WFV数据能为县域尺度甘蔗种植面积的进行有效的追踪和检测。

Abstract:: Abstract: Based on GF-1 WFV data from the wild field camera（WFV）of GF-1 satellite of China, the basic geographic database ofslope and farmland in Fusui County of Guangxi was introduced. According to the spectral characteristics of remote sensing image, thesugarcane planting area in this county was extracted accurately by the combination use of unsupervised classification, supervisedclassification and NDVI culling method. The total precision of remote sensing monitoring of planting area in Fusui County by GF-1WFV data is 89.15%, the kappa coefficient is 0.7803. The producer accuracy and user accuracy are 90.72% and 87.21 respectively,which all meet the requirements of agricultural production. The results show that GF-1 WFV data can be used to track and detect theplanting area of sugarcane in county scale.

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备注/Memo:: 【收稿日期】2018-03-08【基金项目】广西气象局重点科研项目（桂气科2017Z05）。【作者简介】蒙良莉（1995－），女，广西隆安人，广西师范学院地理科学与规划学院在读硕士研究生，研究方向为遥感与地理信息系统应用。【通信作者】钟仕全（1964－），男，广西桂平人，广西壮族自治区气象减灾研究所高级工程师，从事遥感应用研究工作。

更新日期/Last Update: 2018-06-12