测绘通报 ›› 2020, Vol. 0 ›› Issue (11): 124-127.doi: 10.13474/j.cnki.11-2246.2020.0369

• 技术交流 • 上一篇    下一篇

驱动山区农业产业遥感监测的GMG协同系统建设与应用

孙俊英1, 刘吉1, 陈忠超1, 蔡忠亮2, 闫从政3   

  1. 1. 贵州省第二测绘院, 贵州 贵阳 550004;
    2. 武汉大学资源与环境科学学院, 湖北 武汉 430079;
    3. 贵州省第一测绘院, 贵州 贵阳 550025
  • 收稿日期:2020-03-12 出版日期:2020-11-25 发布日期:2020-11-30
  • 通讯作者: 闫从政。E-mail:653036784@qq.com E-mail:653036784@qq.com
  • 作者简介:孙俊英(1984-),男,硕士,高级工程师,主要从事3S技术在国土资源中的应用方面的工作。E-mail:183461315@qq.com

Construction and application of GMG collaborative system for driving remote sensing-based monitoring of agricultural industry in mountainous areas

SUN Junying1, LIU Ji1, CHEN Zhongchao1, CAI Zhongliang2, YAN Congzheng3   

  1. 1. The Second Surveying and Mapping Institute of Guizhou Province, Guiyang 550004, China;
    2. School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China;
    3. The First Surveying and Mapping Institute of Guizhou Province, Guiyang 550025, China
  • Received:2020-03-12 Online:2020-11-25 Published:2020-11-30

摘要: 由于喀斯特山区地貌的支离破碎、地形的高低起伏及气候的多云与雾,难以通过常规遥感手段实现大范围农作物的快速监测,针对该情况,本文研发了内外业一体化的GMG协同系统。该系统利用GPS的精准定位、多媒体的丰富语义及GIS的数据处理优势,多向驱动贵州山区农业产业遥感监测。实践表明,该系统快速实现了省域监测中解译样本的多样性,有效弥补了局部区域内遥感监测的局限性,同时检验了解译数据的准确性。

关键词: 山区农业产业监测, 遥感影像解译, GMG协同系统, 多向驱动

Abstract: The karst mountainous areas have fragmented landscape, rugged terrain and cloudy and foggy climate. It is difficult to monitor crops rapidly through conventional remote sensing methods in a large scale. In response to this situation, the GMG collaborative system integrating internal and external industries was developed. Using the precise positioning of GPS, rich semantics of multimedia and advantages of GIS data processing, the remote sensing monitoring of agricultural industry has been driven multi-directionally in Guizhou province. Practice shows that the system quickly realizes the diversity of interpreting samples in provincial monitoring, effectively compensates for the limitations of remote sensing monitoring in local areas and checks the accuracy of interpreted data in real time simultaneously.

Key words: agricultural industry monitoring in mountainous areas, remote sensing image interpretation, GMG collaborative system, multi-directional drive

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