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Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai

文献类型：期刊论文

作者Liu, Xiao1,2,3; Wang, Ling1,4; Li, Langping3; Zhu, Xicun1,4; Chang, Chunyan1,4; Lan, Hengxing3,5
刊名FORESTS
出版日期2022-05-01
卷号13期号:5页码:13
关键词phenological phases deciduous species remote-sensing recognition support vector machine Mount Tai
DOI10.3390/f13050813
通讯作者Wang, Ling(lingwang@sdau.edu.cn) ; Lan, Hengxing(lanhx@lreis.ac.cn)
英文摘要Tree species recognition is important for remote-sensing mapping and dynamic monitoring of forest resource. However, the complex phenological cycle poses a challenge to remote-sensing recognition of deciduous tree species in mountainous areas, and the selection of temporal phase is particularly important to improve recognition accuracy. Multispectral images of Ziyuan-1 02C (ZY-1 02C) and Ziyuan-3 (ZY-3) at three phenological phases of spring, autumn and winter (12 May, 29 September and 7 December, recorded as T5-12, T9-29 and T12-7) are selected to optimize sensitive spectral indices. Support vector machine (SVM) and maximum likelihood model (MLE) are constructed to explore the optimum phase of recognizing on Quercus acutissima (O. acutissima ) and Robinia pseudoacacia (R. pseudoacacia) in Mount Tai. The results showed the average spectral reflection intensity of O. acutissima was higher than that of R. pseudoacacia Compared to other phenological periods, the most significant spectral differences between O. acutissima and R. pseudoacacia were found in the spring (12 May), which was identified as the optimum phenological phase. Band 4 is the most sensitive band in all the three phases for the tree species recognition. Moreover, the overall recognition accuracy of deciduous tree species on 12 May reached 89.25%, which was significantly higher than the other two phases. On 12 May, the recognition accuracies of SVM based on sensitive spectral indices of up to 93.59% for O. acutissima and 85.44% for R. pseudoacacia, were higher overall than that of the MLE. Sensitive spectral indices introduced were shown to significantly improve the recognition accuracy for tree species over a single sensitive band. The study is expected to facilitate the precise recognition and forestry management on Mount Tai.
WOS关键词SUPPORT VECTOR MACHINE ; CLASSIFICATION
资助项目National Natural Science Foundation of China[42041006] ; National Natural Science Foundation of China[42171378] ; National Natural Science Foundation of China[41877003] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090301]
WOS研究方向Forestry
语种英语
WOS记录号WOS:000801617600001
出版者MDPI
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/178253]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Ling; Lan, Hengxing
作者单位1.Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Shandong, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Shandong Agr Univ, Natl Engn Res Ctr Efficient Utilizat Soil & Ferti, Tai An 271018, Shandong, Peoples R China
5.Changan Univ, Sch Geol Engn & Geomat, Xian 710064, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Xiao,Wang, Ling,Li, Langping,et al. Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai[J]. FORESTS,2022,13(5):13.
APA Liu, Xiao,Wang, Ling,Li, Langping,Zhu, Xicun,Chang, Chunyan,&Lan, Hengxing.(2022).Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai.FORESTS,13(5),13.
MLA Liu, Xiao,et al."Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai".FORESTS 13.5(2022):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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