Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image

doi:10.1166/sl.2011.1391

	Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image
	Chen, Bing 1,3; Wang, Keru 1,2; Li, Shaokun 1,2; Xiao, Chunhua 1; Chen, Jianglu 1; Jin, Xiulinag 1
刊名	SENSOR LETTERS
	2011
卷号	9 期号:3 页码:1157-1163
关键词	Cotton Verticillium Wilt Disease Severity TM Image Spectral Indices Estimation Models
ISSN号	1546-198X
DOI	10.1166/sl.2011.1391
通讯作者	Chen, Bing
英文摘要	In this paper, we present a new method for monitoring severity level (SL) of cotton infected Verticillium wilt. Using eight groups' multi-temporal TM images and field-investigating data in the cotton field infected Verticillium wilt, we analyzed the correlation between spectral indices of TM image and SL of disease, and established the estimation models for SL of cotton disease. The results indicated that the SLs of disease were highly significantly positive correlation with the spectral indices values of B1, B3 and RI, highly significantly negative correlation with B4, OSAVI, MSAVI, TSAVI, SVNSWI, SNSWIa, SNSWIb, SVNI, DNSIa, DNSIb, NDSWIa, NDSWIb, RNSWIa, RNSWIb, DVNI, EVI, TVI, NDGI, SAVI, DVI, NDVI, RVI and PVI, significantly negative correlation with SATVI, and no significantly correlation with B2, B5 and B7. Excluded the model of TSAVI, others models based on thirteen spectral indices which were selected out were all achieved higher estimating precision. Compare with the others the models, the linear models of DVI and DNSIb had the highest decision coefficients (0.836 and 0.820), the lowest root mean square errors (0.606 and 0.506) and lower relative error (0.154 and 0.008), and their the slop and intercept approached 1 and 0. So they were commended as best models to estimate SL of cotton disease by spectral indices of satellite image. This study shows that it is feasible to estimate the SL of cotton disease by the spectral indices of satellite image, quantitatively.
学科主题	Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation ; Physics, Applied ; CHEMISTRY, ANALYTICAL ; ELECTROCHEMISTRY ; INSTRUMENTS & INSTRUMENTATION ; PHYSICS, APPLIED
语种	英语
出版者	AMER SCIENTIFIC PUBLISHERS
WOS记录号	WOS:000293874100033
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/5305]
专题	作物科学研究所_栽培生理学系
作者单位	1.Shihezi Univ, Key Lab Oasis Ecol Agr Xinjiang Corps, Shihezi 832003, Xinjiang, Peoples R China 2.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China 3.Xinjiang Acad Agr Reclamat Sci, Inst Cotton, Shihezi 832000, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Chen, Bing,Wang, Keru,Li, Shaokun,et al. Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image[J]. SENSOR LETTERS,2011,9(3):1157-1163.
APA	Chen, Bing,Wang, Keru,Li, Shaokun,Xiao, Chunhua,Chen, Jianglu,&Jin, Xiulinag.(2011).Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image.SENSOR LETTERS,9(3),1157-1163.
MLA	Chen, Bing,et al."Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image".SENSOR LETTERS 9.3(2011):1157-1163.