‘Extended spectral angle mapping (ESAM)’ for citrus greening disease detection using airborne hyperspectral imaging

Li, Han; Lee, Won Suk; Ku, Wang; Ehsani, Reza; Yang, Cunjian

doi:10.1007/s11119-013-9325-6

Cited by 58 publications

(45 citation statements)

References 22 publications

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“…Previous studies (Li et al, 2012;Li, Lee, Wang, Ehsani, & Yang, 2014) analysed the difference between ground-based spectra of healthy and HLB infected canopies, and the results showed obvious differences in the reflectance at visible and NIR bands, and at REP (red edge position). Several airborne hyperspectral and multispectral images were also acquired to detect the HLB more efficiently and yielded detection results of about 65% with minimum distance method.…”

mentioning

confidence: 99%

Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery

Lee

et al. 2015

Biosystems Engineering

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mentioning

confidence: 99%

Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery

Lee

et al. 2015

Biosystems Engineering

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“…Spectral angle mapping confirms the similarity between a test spectrum and a reference spectrum by calculating their angle (Li et al, 2014). Reference spectrum can be the pixel spectrum extracted from laboratory or field or images.…”

Section: Basic Principle Of Spectral Angle Mappingmentioning

confidence: 98%

Land use and land cover change based on historical space–time model

Sun¹,

Zhang²,

Liu³

et al. 2016

Solid Earth

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Abstract. Land use and cover change is a leading edge topic in the current research field of global environmental changes and case study of typical areas is an important approach understanding global environmental changes. Taking the Qiantang River (Zhejiang, China) as an example, this study explores automatic classification of land use using remote sensing technology and analyzes historical space-time change by remote sensing monitoring. This study combines spectral angle mapping (SAM) with multi-source information and creates a convenient and efficient high-precision land use computer automatic classification method which meets the application requirements and is suitable for complex landform of the studied area. This work analyzes the histological space-time characteristics of land use and cover change in the Qiantang River basin in 2001, 2007 and 2014, in order to (i) verify the feasibility of studying land use change with remote sensing technology, (ii) accurately understand the change of land use and cover as well as historical space-time evolution trend, (iii) provide a realistic basis for the sustainable development of the Qiantang River basin and (iv) provide a strong information support and new research method for optimizing the Qiantang River land use structure and achieving optimal allocation of land resources and scientific management.

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“…PCR based methods are rapid and sensitive, but it is difficult to be used in screening at larger scale. Therefore, imaging techniques were developed for the purpose of large screening [15,16].…”

Section: Literature Review Disease Detectionmentioning

confidence: 99%

Can CRISPR Win the Battle against Huanglongbing?

Song¹,

Bhattarai²,

D³

et al. 2017

J Plant Pathol Microbiol

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Huanglongbing (HLB) is the most destructive disease of citrus. The causal agent is Candidatus Liberibacter spp. The pathogen is phloem-limited gram-negative bacterium. HLB has caused huge loss in citrus fruit production. All commercial citrus cultivars can be infected by this disease and there is no cure for it. Disease detection, host responses upon infection are under review in this article. Because conventional breeding can't confer citrus resistance to HLB, transgenic approach is an alternative way to produce disease resistant citrus facing the urgent need. Clustered regularly interspaced short palindromic repeat (CRISPR) is the most recent and advanced genome editing technology that has been successfully applied to develop canker resistant citrus. In this review, the potential application of CRISPR technology in citrus resistance to HLB is discussed.

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‘Extended spectral angle mapping (ESAM)’ for citrus greening disease detection using airborne hyperspectral imaging

Cited by 58 publications

References 22 publications

Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery

Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery

Land use and land cover change based on historical space–time model

Can CRISPR Win the Battle against Huanglongbing?

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