玉米大豆轮作遥感监测技术研究

doi:10.11924/j.issn.1000-6850.casb16080068

摘要/Abstract

摘要： 基于黑龙江省北安市2014—2015 年的Google Earth 影像、多时相OLI 数据和RapidEye 影像，采用遥感目视解译的方法，构建了玉米大豆轮作遥感监测业务化技术流程。主要技术环节包括数据预处理、地块位置与面积信息的精准获取、农作物类型识别、精度验证、变化统计等5 个内容。研究结果表明：工程区域总面积4528.7 hm2，计有447 个地块；其中，2014 年玉米轮作为2015 年大豆的地块为193 块3794.4 hm2，大豆轮作为玉米的地块为65 块88.0 hm2；采用地块逐一调查的方式进行验证，地块吻合率为100.0%。研究提出的技术方法具有较高的地块测量准确性和监测效率，可以作为农作物种植结构调整政策落实程度核查技术使用。

关键词: 花生, 花生, 农家品种, 农艺性状, 遗传多样性

Abstract: Based on 2014—2015 Google Earth images, multi-temporal OLI and RapidEye image data of Bei’ an, Heilongjing Province, a corn- soybean crop rotation remote sensing monitoring operational technology process was established by employing remote sensing visual interpretation methods. The major technical links included five steps of data pre-processing, accuracy acquisition of land location and area information, crop type identification, accuracy verification and changes statistics. The result showed that the total area of the project zone was 4528.7 hm2, with a total of 447 land parcels; among which, 193 land parcels of corns in 2014 were rotated to soybean in 2015 with a total area of 3794.4 hm2 and 65 land parcels of soybean in 2014 were rotated to corn in 2015, with a total area of 88.0 hm2; through the verification by using one by one investigation method, the land parcel accuracy reached 100.0%. The technical methods proposed by this paper had relative high accuracy and monitoring efficiency on land parcel measurement, and it could be used as the verification technology for examining the implementation of the policies on crop planting structure adjustment.

中图分类号:

S252

刘佳,王利民,滕飞,杨福刚,姚保民. 玉米大豆轮作遥感监测技术研究[J]. 中国农学通报, 2017, 33(8): 144-153.

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