干旱区生态环境知识资源中心(Arid): Assessment of Poplar Looper (Apocheima cinerarius Erschoff) Infestation on Euphrates (Populus euphratica) Using Time-Series MODIS NDVI Data Based on the Wavelet Transform and Discriminant Analysis

Arid

DOI	10.3390/rs13122345
	Assessment of Poplar Looper (Apocheima cinerarius Erschoff) Infestation on Euphrates (Populus euphratica) Using Time-Series MODIS NDVI Data Based on the Wavelet Transform and Discriminant Analysis
	Huang, Tiecheng; Ding, Xiaojuan; Zhu, Xuan; Chen, Shujiang; Chen, Mengyu; Jia, Xiang; Lai, Fengbing; Zhang, Xiaoli
通讯作者	Zhang, XL (corresponding author), Beijing Forestry Univ, Forestry Coll, Beijing Key Lab Precis Forestry, Beijing 100083, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:12
英文摘要	Poplar looper (Apocheima cinerarius Erschoff) is a destructive insect infesting Euphrates or desert poplars (Populus euphratica) in Xinjiang, China. Since the late 1950s, it has been plaguing desert poplars in the Tarim Basin in Xinjiang and caused widespread damages. This paper presents an approach to the detection of poplar looper infestations on desert poplars and the assessment of the severity of the infestations using time-series MODIS NDVI data via the wavelet transform and discriminant analysis, using the middle and lower reaches of the Yerqiang River as a case study. We first applied the wavelet transform to the NDVI time series data in the period of 2009-2014 for the study area, which decomposed the data into a representation that shows detailed NDVI changes and trends as a function of time. This representation captures both intra- and inter-annual changes in the data, some of which characterise transient events. The decomposed components were then used to filter out details of the changes to create a smoothed NDVI time series that represent the phenology of healthy desert poplars. Next the subset of the original NDVI time series spanning the time period when the pest was active was extracted and added to the smoothed time series to generate a blended time series. The wavelet transform was applied again to decompose the blended time series to enhance and identify the changes in the data that may represent the signals of the pest infestations. Based on the amplitude of the enhanced pest infestation signals, a predictive model was developed via discriminant analysis to detect the pest infestation and assess its severity. The predictive model achieved a severity classification accuracy of 91.7% and 94.37% accuracy in detecting the time of the outbreak. The methodology presented in this paper provides a fast, precise, and practical method for monitoring pest outbreak in dense desert poplar forests, which can be used to support the surveillance and control of poplar looper infestations on desert poplars. It is of great significance to the conservation of the desert ecological environment.
英文关键词	NDVI time series wavelet transform discriminant analysis poplar looper desert poplars insect infestation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000666378000001
WOS关键词	SPRUCE BUDWORM DEFOLIATION ; INSECT DEFOLIATION ; VEGETATION INDEX ; FOREST ; FUSION ; DISTURBANCE ; ATTACK ; DAMAGE ; PINE ; RED
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京林业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351538
作者单位	[Huang, Tiecheng; Chen, Mengyu; Jia, Xiang; Zhang, Xiaoli] Beijing Forestry Univ, Forestry Coll, Beijing Key Lab Precis Forestry, Beijing 100083, Peoples R China; [Huang, Tiecheng; Ding, Xiaojuan; Chen, Shujiang; Lai, Fengbing] Xinjiang Normal Univ, Coll Geog Sci & Tourism, Urumqi 830054, Peoples R China; [Zhu, Xuan] Monash Univ, Sch Earth Atmosphere & Environm, Clayton Campus, Clayton, Vic 3800, Australia
推荐引用方式 GB/T 7714	Huang, Tiecheng,Ding, Xiaojuan,Zhu, Xuan,et al. Assessment of Poplar Looper (Apocheima cinerarius Erschoff) Infestation on Euphrates (Populus euphratica) Using Time-Series MODIS NDVI Data Based on the Wavelet Transform and Discriminant Analysis[J]. 北京林业大学,2021,13(12).
APA	Huang, Tiecheng.,Ding, Xiaojuan.,Zhu, Xuan.,Chen, Shujiang.,Chen, Mengyu.,...&Zhang, Xiaoli.(2021).Assessment of Poplar Looper (Apocheima cinerarius Erschoff) Infestation on Euphrates (Populus euphratica) Using Time-Series MODIS NDVI Data Based on the Wavelet Transform and Discriminant Analysis.REMOTE SENSING,13(12).
MLA	Huang, Tiecheng,et al."Assessment of Poplar Looper (Apocheima cinerarius Erschoff) Infestation on Euphrates (Populus euphratica) Using Time-Series MODIS NDVI Data Based on the Wavelet Transform and Discriminant Analysis".REMOTE SENSING 13.12(2021).