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时序数据分析下的生态环境变化监测与发展趋势预测

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生态环境监测与发展趋势预测已经成为城镇可持续发展关注的重点问题之一,对于平衡生态环境与城镇化发展具有重要意义.鉴于传统生态环境评价方法难以体现其客观性及有效性,本文基于长时序卫星遥感图像数据应用于生态环境变化评估的优势,结合遥感生态指数与卷积神经网络模型评价乌鲁木齐的生态环境时空变化并预测未来发展趋势.
Ecological Environment Change Monitoring and Development Trend Forecast Based on Time Series Data Analysis
Ecological environment monitoring and development trend forecast have become one of the key issues of urban sustainable development, it is of great significance for balancing ecological environment and urbanization development. In view of the traditional ecological environment assessment method is difficult to reflect its objectivity and effectiveness, based on the advantages of long time series satellite remote sensing image data applied to ecological environment change assessment, this paper combined remote sensing ecological index and convolutional neural network model to evaluate the spatial and temporal changes of ecological environment in Uru-mqi and forecast the future development trend.

remote sensing ecological indexconvolutional neural networkenvironmental change monitoringdevelopment trend forecast

张宏飞

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新疆维吾尔自治区测绘成果中心,新疆乌鲁木齐 830002

遥感生态指数 卷积神经网络 环境变化监测 发展趋势预测

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(4)
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