NDLI: Predicting wheat aphid using 2-dimensional feature space based on multi-temporal Landsat TM

Content Provider	IEEE Xplore Digital Library
Author	Huang Wenjiang Luo Juhua Zhao Jinling Zhang Jingcheng Ma Zhihong
Copyright Year	2011
Description	Author affiliation: Beijing Research Center for Information Technology in Agriculture, 100097, China (Huang Wenjiang; Zhao Jinling; Zhang Jingcheng; Ma Zhihong) \|\| State Key Laboratory of Remote Sensing Science, College of Geography and Remote Sensing Science, Beijing Normal University, 100875, China (Luo Juhua)
Abstract	Aphid (Hemiptera: Aphididae) outbreaks appear in wheat (Triticum aestivum L.) planting area in China, and had significant economic impacts on wheat. It has severe impact on both winter wheat yield and grain quality. The aim of this study was to monitor and predict of wheat aphid by analyzing the relationship between land surface temperature (LST), modified normalized difference water index (MNDWI) and the occurrence and prevalence of aphid in wheat. The results showed that LST was an important driving factor for occurrence of aphid, and MNDWI was sensitive to aphid damage degree. Meanwhile, a 2-dimensional feature space was established based on LST and MNDWI derived from Landsat TM images, and discrimination model of aphid damage degrees was established according to the distribution of samples in the feature space. It was verified that the overall accuracy of discrimination model is 82.5%, and kappa accuracy is 73.88%.
Starting Page	1830
Ending Page	1833
File Size	329142
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Land surface temperature Accuracy Satellites Earth Land surface Temperature sensors Modified normalized difference water index (MNDWI) Winter wheat Aphid land surface temperature (LST)
Content Type	Text
Resource Type	Article

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