Using Airborne Digital Imagery for Detecting Oak Wilt Disease

Everitt, J. H.; Escobar, D. E.; Appel, David N.; Riggs, W. G.; Davis, M. R.

doi:10.1094/pdis.1999.83.6.502

Cited by 36 publications

(30 citation statements)

References 6 publications

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“…It is very useful for the studies on epidemic dynamics of plant disease during many years and more precise management of plant disease. The integration of RS, GIS and GPS could be implemented in real-time monitoring of plant disease [53], [54], [55], [56]. The localization using GPS is absolutely necessary for the realization of aerial and space remote sensing monitoring of wheat stripe rust.…”

Section: The Integrated Application Of 3s Technology In Remote Sensinmentioning

confidence: 99%

Monitoring Wheat Stripe Rust Using Remote Sensing Technologies in China

Wang

Guo

2012

Computer and Computing Technologies in Agriculture V

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Abstract. Many studies on remote sensing monitoring of plant diseases have been conducted. Remote sensing (RS) has played an important role in monitoring some kinds of plant diseases and making decisions for the management of the diseases. Progress on remote sensing monitoring of wheat stripe rust in China was summarized from four aspects including remote sensing monitoring stripe rust of single wheat leaves and monitoring this disease using ground, aerial and space remote sensing technologies. The phenomena of same object with different spectra and different objects with same spectrum, the lowest threshold of disease prevalence for remote sensing monitoring, the spectral information distilling technologies, and the methods to develop inversion models based on spectral information were also discussed. Moreover, the development trends of multi-pest remote sensing, space remote sensing and integrated utilization of RS, geographical information system (GIS) and global positioning system (GPS) in monitoring wheat stripe rust were prospected.

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Section: The Integrated Application Of 3s Technology In Remote Sensinmentioning

confidence: 99%

Monitoring Wheat Stripe Rust Using Remote Sensing Technologies in China

Wang

Guo

2012

Computer and Computing Technologies in Agriculture V

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“…Ad esempio, una sintomatologia che preveda la diminuzione del livello di clorofilla, l'alterazione dei cloroplasti e l'ingiallimento delle foglie sarà evidenziata nel grafico della firma spettrale da una traslazione del picco nella banda del visibile dalle lunghezze d'onda del verde verso quelle del rosso (Murtha 1982) e da un progressivo slittamento verso lunghezze d'onda inferiori del red edge (Everitt et al 1999). Ma prima che i sintomi si manifestino nel visibile dovrebbero evidenziarsi nella banda dell'infrarosso vicino con un decremento della riflettanza (Murtha 1982, Spicciarelli & Arpaia 1991, Martini et al 2007, Pernar et al 2008, la quale continuerà a diminuire con il progressivo aggravarsi della sintomatologia (Everitt et al 1999). La riflettanza NIR delle foglie è infatti maggiormente suscettibile nel subire variazioni rispetto alla riflettanza VIS, risultando particolarmente sensibile al contenuto idrico dei tessuti fogliari (Asner 1998).…”

Section: Potenzialità E Limiti Del Telerilevamento Nella Valutazione unclassified

“…Analogamente, una ricerca sul cancro basale del pino strobo effettuata comparando le immagini aeree analogiche FCIR con rilievi effet-tuati in campo ha sottolineato l'impossibilità di diagnosi precoce mediante fotointerpretazione, riportando inoltre come sia spesso difficile distinguere tra piante sane e piante infette in assenza di evidenti sintomi in chioma (Houston 1972). In uno studio su tracheomicosi da Ceratocystis fagacearum (Bretz) Hunt a carico di Quercus fusiformis Small, il monitoraggio della malattia è stato condotto tramite immagini aeree analogiche e digitali FCIR con risoluzioni equivalenti a 1.08 e 2.15 m pixel -1 (Everitt et al 1999). Contestualmente sono state acquisite delle misure radiometriche a terra con un radiometro multispettrale, accompagnate da verifica visiva delle condizioni fitosanitarie di alcuni esemplari e da esami diagnostici in laboratorio volti a confermare la presenza del patogeno (Everitt et al 1999).…”

Section: Potenzialità E Limiti Del Telerilevamento Nella Valutazione unclassified

“…In uno studio su tracheomicosi da Ceratocystis fagacearum (Bretz) Hunt a carico di Quercus fusiformis Small, il monitoraggio della malattia è stato condotto tramite immagini aeree analogiche e digitali FCIR con risoluzioni equivalenti a 1.08 e 2.15 m pixel -1 (Everitt et al 1999). Contestualmente sono state acquisite delle misure radiometriche a terra con un radiometro multispettrale, accompagnate da verifica visiva delle condizioni fitosanitarie di alcuni esemplari e da esami diagnostici in laboratorio volti a confermare la presenza del patogeno (Everitt et al 1999). L'impiego del radiometro multibanda ha comportato l'asportazione di rami dagli individui esaminati e l'uso di uno standard (disco riflettente bianco in solfato di bario) per convertire le misure radiometriche in valori esatti di riflettanza (Everitt et al 1999).…”

Section: Potenzialità E Limiti Del Telerilevamento Nella Valutazione unclassified

“…Contestualmente sono state acquisite delle misure radiometriche a terra con un radiometro multispettrale, accompagnate da verifica visiva delle condizioni fitosanitarie di alcuni esemplari e da esami diagnostici in laboratorio volti a confermare la presenza del patogeno (Everitt et al 1999). L'impiego del radiometro multibanda ha comportato l'asportazione di rami dagli individui esaminati e l'uso di uno standard (disco riflettente bianco in solfato di bario) per convertire le misure radiometriche in valori esatti di riflettanza (Everitt et al 1999). L'andamento della firma spettrale in funzione dell'aggravarsi della sintomatologia ha confermato quanto noto da precedenti lavori (Murtha 1982), mentre le immagini FCIR hanno dimostrato di essere utilizzabili per la ripartizione dei soggetti in classi stabilite in base alla gravità dei sintomi (Everitt et al 1999).…”

Section: Potenzialità E Limiti Del Telerilevamento Nella Valutazione unclassified

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Tree health monitoring: perspectives from the visible and near infrared remote sensing

Gonthier¹,

Lione²,

Ec³

2012

Forest@

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Based on a comprehensive literature analysis, we present a critical review of those optical remote sensing techniques operating with the visible (VIS) and near infrared (NIR) bands for the assessment of health in forest trees. Physical, biological and physio-pathological issues of VIS-NIR reflectance of leaves are described pointing out that a decrease of NIR reflectance is highly influenced by stress conditions on tree caused by abiotic and biotic factors. In many cases the NIR spectral band is more sensitive than the VIS one, allowing to detect plant stress long before the appearance of visible symptoms. A description of the main remote sensing methods is provided, including radiometric measurements and multispectral imaging approaches. False colour infrared (FCIR) images collection and their photointerpretation and processing are shown as they represent the most relevant means to acquire information of canopy from its reflectance properties. The amount and the quality of the obtainable data depend on: (i) field conditions; (ii) the type of the adopted instrument (camera, radiometer); (iii) the recording system position (ground platforms, aircraft, satellite); (iv) the format of the data (analogical, digitalised or digital); and (v) the photointerpretation technique. Results from literature are discussed stressing the limits of remote sensing methods. Remote sensing in VIS and NIR spectral bands is generally a powerful classification tool to detect and score tree stress. Nevertheless, it is not a diagnostic tool in that it does not provide information on the cause of stress. Moreover, the method should be adequately tested at single tree level for many important pathogens, in particular root rot, butt rot and stem rot fungi. In perspective, new high spatial resolution satellite images and their GIS software elaboration might be suitable to improve remote sensing analysis

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Spatial and temporal distribution of oak wilt in golden‐cheeked warbler habitat

Stewart¹,

Morrison²,

Appel³

et al. 2014

Wildl. Soc. Bull.

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Research suggests the presence of oak wilt in Ashe juniper-oak (Juniperus ashei-Quercus spp.) woodland has a negative effect on habitat selection and quality for the federally endangered golden-cheeked warbler (Setophaga chrysoparia). We used aerial imagery and an occupancy model to estimate the amount of golden-cheeked warbler habitat within our study region in Texas, USA, that was affected by oak wilt over a 10-year timeframe, 2008-2018, and to assess the current probability of warbler occupancy in areas affected by oak wilt prior to 1983. We also quantified vegetation characteristics to assess regeneration in areas affected by the disease. Our results indicate that oak wilt frequently occurs in golden-cheeked warbler habitat and will continue to spread into warbler habitat in the coming years. We estimated that 6.9% of golden-cheeked warbler habitat within our study region in the southwestern portion of the warbler's range was affected by oak wilt in 2008. By 2018, we predict that 13.3% of golden-cheeked warbler habitat will be affected by the disease. Areas affected by oak wilt prior to 1983 were less likely to be classified as current potential warbler habitat than were unaffected areas. We found no differences between the understory vegetation of affected and unaffected areas but, in general, oaks were more common in the overstory than in the understory, suggesting that species composition in affected areas may shift following an outbreak of oak wilt. Future management efforts should address the threat oak wilt poses to golden-cheeked warblers by incorporating applicable preventative measures. Ó

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Using Airborne Digital Imagery for Detecting Oak Wilt Disease

Cited by 36 publications

References 6 publications

Monitoring Wheat Stripe Rust Using Remote Sensing Technologies in China

Monitoring Wheat Stripe Rust Using Remote Sensing Technologies in China

Tree health monitoring: perspectives from the visible and near infrared remote sensing

Spatial and temporal distribution of oak wilt in golden‐cheeked warbler habitat

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