徐磊,巫兆聪,罗飞,杨帆,项伟,高飞.基于GF-1/WFV与MODIS时空融合的森林覆盖定量提取[J].农业机械学报,2017,48(7):145-152.
XU Lei,WU Zhaocong,LUO Fei,YANG Fan,XIANG Wei,GAO Fei.Quantitative Extraction of Forest Cover Based on Fusing of GF-1/WFV and MODIS Data[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(7):145-152.
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基于GF-1/WFV与MODIS时空融合的森林覆盖定量提取   [下载全文]
Quantitative Extraction of Forest Cover Based on Fusing of GF-1/WFV and MODIS Data   [Download Pdf][in English]
投稿时间:2016-10-27  
DOI:10.6041/j.issn.1000-1298.2017.07.018
中文关键词:  森林覆盖  遥感  定量提取  时空融合  GF-1/WFV  MODIS NDVI
基金项目:国家自然科学基金项目(41101410)和民用航天“十二五”技术预先研究项目(2013669-7)
作者单位
徐磊 武汉大学 
巫兆聪 武汉大学 
罗飞 伦敦玛丽女王大学 
杨帆 国家海洋局南海规划与环境研究院 
项伟 武汉大学 
高飞 武汉大学 
中文摘要:森林作为陆地生态系统的重要组成部分,因其巨大的碳储量和固碳能力而备受关注,利用高分1号卫星的NDVI数据(GF-1 NDVI)可实现森林覆盖的定量提取。然而,由于受阴雨天气、运行成本等因素的影响,难以形成GF-1 NDVI时间序列数据,无法满足森林覆盖高精度提取的需求,为此,以河南省嵩山部分地区为实验区,应用STAVFM算法融合GF-1/WFV NDVI与MODIS NDVI,生成8d步长的GF-1/WFV NDVI时间序列数据,在此基础上,提取NDVI特征并与GF-1/WFV的光谱特征进行组合,最后,采用SVM分类方法实现研究区森林覆盖的定量提取。研究结果表明,利用STAVFM算法生成的GF-1/WFV NDVI时序数据效果理想,很好地解决了GF-1 NDVI时序数据的缺失问题,由其NDVI特征与GF-1/WFV光谱特征构成的组合能够实现森林覆盖的有效提取,基于SVM分类后的总体分类精度为94.72%,与未融入NDVI特征的GF-1/WFV原始影像的分类结果相比,提高了4.90个百分点。
XU Lei  WU Zhaocong  LUO Fei  YANG Fan  XIANG Wei  GAO Fei
Wuhan University,Wuhan University,Queen Mary University of London,South China Sea Institute of Planning and Environmental Research, State Oceanic Administration,Wuhan University and Wuhan University
Key Words:forest cover  remote sensing  quantitative extraction  spatial and temporal data fusion  GF-1/WFV  MODIS NDVI
Abstract:As an important part of terrestrial ecosystem, forest is concerned by its huge carbon storage and carbon sequestration capacity. With the successful launch of China’s high score 1 (GF-1) satellite, it is possible to use NDVI data to realize the quantitative extraction of forest cover. However, due to the impact of rainy weather, operating costs and other factors, it is difficult to form NDVI GF-1 time series data, which cannot meet the demand for high precision extraction of forest cover. With the aim to solve this problem, Songshan was taken as part of the Henan GF-1/WFV NDVI and MODIS NDVI experimentation area, application of STAVFM algorithm was integrated, and GF-1/WFV NDVI time series data was used to generate the 8 d step, then from the time series data in NDVI feature extraction and spectral features were combined with GF-1/WFV. Finally, SVM classification method was used to realize quantitative forest coverage extraction. The research results showed that the NDVI GF-1/WFV sequence data generated by the STAVFM algorithm was ideal, which can solve the problem of the NDVI GF-1 time series data. The overall classification accuracy based on the SVM classification was 94.72%, which was improved by 4.90 percentage points compared with the classification results of the original GF-1/WFV image without fusing the characters of NDVI. This method provided a new way for high precision extraction of forest cover.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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