| 无人机低空摄影技术在碳排放监测中的应用 |
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| 引用本文： | 魏松泽,曹玉军,李林杰,孙夙,刘成.无人机低空摄影技术在碳排放监测中的应用[J].中州煤炭,2022,0(10):189-194. |
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| 作者姓名： | 魏松泽 曹玉军 李林杰 孙夙 刘成 |
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| 作者单位： | 1.北京市人民政府 航空队，北京100000；2.北京警航总队办公室，北京100000；3.北京特勤局，北京100000；4.贰零肆玖投资公司，北京100000；5.浪潮集团，北京100000 |
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| 摘 要： | 为更好地了解碳排放在研究区内的时空分布特征，以便提出有效的针对性措施，碳排放监测具有重要的现实意义。在此背景下，分析了无人机低空摄影技术在碳排放监测中的应用。以某研究区为例，利用无人机低空摄影系统获取图像，并实施处理。利用卷积神经网络对处理好的图像中的碳排放影响因素进行识别，包括道路交通流量、土地利用类型、人口数据、气象情况以及工业区。以这5种因素作为基础，构建碳排放测算模型，得出碳排放浓度值，根据绘制二氧化碳浓度时空分布图，完成无人机低空摄影技术在碳排放中的应用监测。结果表明，基于碳排放监测结果，明确了随着时间和空间变化，研究区内二氧化碳的排放特征，证明了无人机低空摄影技术的应用结果。
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| 关 键 词： | 无人机低空摄影技术 碳排放监测 测算模型 |
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| Application of UAV low altitude photography technology in carbon emission monitoring.-[J].Zhongzhou Coal,2022,0(10):189-194. |
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| Authors: | Application of UAV low altitude photography technology in carbon emission monitoring |
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| Affiliation: | Wei Songze 1，Cao Yujun2，Li Linjie3，Sun Su4，Liu Cheng 5 |
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| Abstract: | In order to better understand the temporal and spatial distribution characteristics of carbon emissions in the study area and propose effective targeted measures，carbon emissions monitoring has important practical significance.Under this background，the application of UAV low altitude photography technology in carbon emission monitoring is analyzed.Taking a research area as an example，the image is acquired and processed by using the UAV low altitude photography system.The convolution neural network is used to identify the carbon emission influencing factors in the processed image，including road traffic flow，land use type，population data，meteorological conditions and industrial areas.Based on these five factors，a carbon emission calculation model is built to obtain the carbon emission concentration value.According to the drawing of the space-time distribution map of carbon dioxide concentration，the application monitoring of low altitude photography technology of UAV in carbon emission is completed.The results show that，based on the carbon emission monitoring results，the characteristics of carbon dioxide emission in the study area over time and space are clarified，which proves the application results of low altitude photography technology of UAV. |
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| Keywords: | ,UAV low altitude photography technology, carbon emissions monitor, calculation model |
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