| 由NPP-VIIRS影像估算广东省碳排放的尺度效应分析 |
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| 引用本文： | 王艳军,王孟杰,李少春,林云浩.由NPP-VIIRS影像估算广东省碳排放的尺度效应分析[J].测绘通报,2021,0(11):25-30. |
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| 作者姓名： | 王艳军 王孟杰 李少春 林云浩 |
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| 作者单位： | 1. 湖南科技大学测绘遥感信息工程湖南省重点实验室, 湖南 湘潭 411201;2. 湖南科技大学地理空间信息技术国家地方联合工程实验室, 湖南 湘潭 411201;3. 湖南科技大学资源环境与安全工程学院, 湖南 湘潭 411201 |
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| 基金项目： | 国家自然科学基金（41971423；31972951；41771462）；湖南省自然科学基金（2020JJ3020）；湖南省科技计划（2019RS2043；2019GK2132）；湖南省教育厅优秀青年项目（18B224） |
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| 摘 要： | 碳排放估算是节能减排和全球气候变化研究的重要领域之一，NPP-VIIRS夜间灯光影像能够反映人类活动强度而被广泛应用于碳排放的空间估算分析。本文构建和对比了基于2015年NPP-VIIRS夜间灯光影像的广东省能源消耗碳排放估算拟合模型，并重点研究了NPP-VIIRS影像的尺度效应，探讨了500、1000、1500和2000 m分辨率的模型结果精度。研究显示：①二次多项式拟合模型是碳排放估算的较优化方法，广东省21个城市之间拟合结果差异较大；②1000 m分辨率的NPP-VIIRS夜间灯光影像的广东省碳排放估算结果均方根误差最小，2000 m分辨率的绝对误差较小，并通过升尺度提高了模型运算效率；③间隔100 m从500 m连续递增至2000 m的不同空间分辨率的夜间灯光影像碳排放估算结果具有波动性，在1000 m分辨率处趋于平衡。本文分析了基于NPP-VIIRS夜间灯光影像的广东省碳排放估算模型，揭示了不同空间分辨率影像的尺度效应规律，可为夜间灯光影像碳排放估算提供空间尺度优化和结果精化方面的参考。
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| 关 键 词： | 碳排放 NPP-VIIRS夜间灯光影像 空间分辨率 尺度效应 碳排放估算 |
| 收稿时间： | 2021-04-25 |
| 修稿时间： | 2021-09-17 |
Scale effect analysis of carbon emission simulation based on NPP-VIIRS images in Guangdong province |
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| WANG Yanjun,WANG Mengjie,LI Shaochun,LIN Yunhao.Scale effect analysis of carbon emission simulation based on NPP-VIIRS images in Guangdong province[J].Bulletin of Surveying and Mapping,2021,0(11):25-30. |
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| Authors: | WANG Yanjun WANG Mengjie LI Shaochun LIN Yunhao |
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| Institution: | 1. Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China;2. National-local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China;3. School of Resource Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China |
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| Abstract: | Carbon emission estimation is one of the most important fields of energy conservation and global climate change research. NPP-VIIRS night light image can reflect the intensity of human activities and is widely used in the spatial estimation and analysis of carbon emission. This paper constructs and compares the fitting models of energy consumption and carbon emissions estimation in Guangdong province based on NPP-VIIRS night light images in 2015, and focused on the scale effect of NPP-VIIRS images, and discussed the accuracy of model results at 500 m, 1000 m, 1500 m and 2000 m resolution. The results showed that:①The quadratic polynomial fitting model is a better method for carbon emission estimation, and the fitting results of 21 cities in Guangdong province are quite different. ②The root mean square error of Guangdong province carbon emission estimation results from NPP-VIIRS nighttime light image with 1000 m resolution is the smallest, and the absolute error of 2000 m resolution is smaller, and the model operation efficiency is improved by scaling up. ③Estimation results of carbon emissions show fluctuation from night light images with different spatial resolutions increasing continuously from 500 m to 2000 m at an interval of 100 m and tend to balance at the resolution of 1000 m. This paper analyzes the carbon emission estimation model of Guangdong province based on NPP-VIIRS night light images, and reveals the scale effect rules of different spatial resolution images, which can provide a reference for spatial scale optimization and result refinement of carbon emission estimation of night light images. |
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| Keywords: | carbon emission NPP-VIIRS nighttime light image spatial resolution scale effect carbon emission estimation |
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