测绘通报 ›› 2021, Vol. 0 ›› Issue (10): 123-126,145.doi: 10.13474/j.cnki.11-2246.2021.318

• 技术交流 • 上一篇    下一篇

基于遥感影像的青海省环境变化监测

韩建平   

  1. 青海地理信息产业发展有限公司, 青海 西宁 810001
  • 收稿日期:2021-05-31 修回日期:2021-08-24 出版日期:2021-10-25 发布日期:2021-11-13
  • 作者简介:韩建平(1973-),男,高级工程师,研究方向为航测遥感等。E-mail:hjp9557@126.com

Environmental change monitoring in Qinghai province based on remote sensing image

HAN Jianping   

  1. Qinghai Geographic Information Industry Development Co., Ltd., Xining 810001, China
  • Received:2021-05-31 Revised:2021-08-24 Online:2021-10-25 Published:2021-11-13

摘要: 本文通过对遥感影像的分析,针对土地利用及植被变化情况,利用优化的K-means算法对青海省环境变化进行检测,以此对土地的利用进行合理的规划,以期实现可持续发展。同时将试验结果与外业实际结果及当地政策规划进行比对,结果显示文中算法对土地的变化和未来走势预测准确率超过75%,从而验证了监测方法的可行性。这不仅保证了在经济发展的同时能够合理地使用土地资源,而且能对环境进行有效的保护。

关键词: 变化检测, K-means, 土地利用, 变化预测, 环境保护

Abstract: Based on the analysis of remote sensing images, this paper uses the optimized K-means algorithm to detect environmental changes in Qinghai province, make reasonable plans for the use of land based on the predicted results, finally to achieving sustainable development. This article compares the experimental results with the actual results of field operations and local policy planning. The results show that the algorithm in the article has an accuracy of more than 75% in predicting land changes and future trends, which verifies the feasibility of the algorithm, this ensures that land resources can be used reasonably while the economy is developing, and the environment can be effectively protected.

Key words: change detection, K-means, land use, change prediction, environmental protection

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