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Using hyperspectral reflectance data to assess biocontrol damage of giant salvinia / James H. Everitt in Geocarto international, vol 28 n° 5-6 (August - October 2013)  

Public [article]  inGeocarto international > vol 28 n° 5-6 (August - October 2013) . - pp 502 - 516 Titre : Using hyperspectral reflectance data to assess biocontrol damage of giant salvinia Type de document : Article/Communication Auteurs : James H. Everitt, Auteur ; Chenghai Yang, Auteur ; Julie G. Nachtrieb, Auteur Année de publication : 2013 Article en page(s) : pp 502 - 516 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse diachronique [Termes IGN] analyse discriminante [Termes IGN] espèce exotique envahissante [Termes IGN] Etats-Unis [Termes IGN] image hyperspectrale [Termes IGN] lutte biologique [Termes IGN] milieu naturel [Termes IGN] plante aquatique d'eau salée [Termes IGN] réflectance végétale [Termes IGN] surveillance de la végétation Mots-clés libres : Salvinia molesta Résumé : (Auteur) Field hyperspectral reflectance data were studied at 50 wavebands (10-nm bandwidth) over the 400- to 900-nm spectral range to determine their potential for distinguishing among giant salvinia (Salvinia molesta Mitchell) plants subjected to four population levels of salvinia weevils (Cyrtobagous salviniae Calder and Sands) to develop feeding damage to the plants. The four populations included a control with no insects and those with low, medium and high insect populations. The plants were studied in two experiments on each of two dates: 14 October 2010 and 21 July 2011. Two procedures were used to determine the optimum bands for discriminating among treatments: least significant difference (LSD) and stepwise discriminant analysis. The LSD comparison test results for both October and July experiments showed that generally the best bands for separating among treatments occurred in the green (505–595 nm), red (605–635 nm), red-near-infrared (NIR; 695–745 nm) edge and NIR (755–895 nm) regions where three to four treatments could be distinguished. Stepwise discriminant analysis identified four bands in the green, red and red-NIR edge to be significant to discriminate among the four treatments in Experiment 1 in October. For Experiment 2 in October, discriminant analysis identified five bands in the blue, green, red and NIR regions to be significant for distinguishing among the treatments. In Experiment 1 in July, five bands in the blue, green, red-NIR edge and NIR regions were found to be significant to discriminate among the treatments. For Experiment 2 in July, discriminant analysis identified four bands in the blue, green and red-NIR edge regions to be significant to discriminate among the treatments. Numéro de notice : A2013-550 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.724454 Date de publication en ligne : 25/09/2012 En ligne : https://doi.org/10.1080/10106049.2012.724454 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78074 [article]

Exemplaires(1)

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059-2013031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Applying six classifiers to airborne hyperspectral imagery for detecting giant reed / C. Yang in Geocarto international, vol 27 n° 5 (August 2012)  

Public [article]  inGeocarto international > vol 27 n° 5 (August 2012) . - pp 413 - 424 Titre : Applying six classifiers to airborne hyperspectral imagery for detecting giant reed Type de document : Article/Communication Auteurs : C. Yang, Auteur ; J. Goolsby, Auteur ; James H. Everitt, Auteur ; Q. Du, Auteur Année de publication : 2012 Article en page(s) : pp 413 - 424 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classificateur [Termes IGN] classification barycentrique [Termes IGN] classification par la distance de Mahalanobis [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] classification Spectral angle mapper [Termes IGN] espèce exotique envahissante [Termes IGN] Etats-Unis [Termes IGN] image aérienne [Termes IGN] image hyperspectrale [Termes IGN] macrophyte [Termes IGN] Mexique [Termes IGN] Rio Grande (fleuve) Résumé : (Auteur) This study evaluated and compared six image classifiers, including minimum distance (MD), Mahalanobis distance (MAHD), maximum likelihood (ML), spectral angle mapper (SAM), mixture tuned matched filtering (MTMF) and support vector machine (SVM), for detecting and mapping giant reed (Arundo donax L.), an invasive weed that presents a severe threat to agroecosystems throughout the southern US and northern Mexico. Airborne hyperspectral imagery was collected from a giant reed-infested site along the US-Mexican portion of the Rio Grande in 2009 and 2010. The imagery was transformed with minimum noise fraction (MFN) and the six classifiers were applied to the 30-band MNF imagery for each year. Accuracy assessment showed that SVM and ML generally performed better than the other four classifiers for overall classification and for distinguishing giant reed in both years. These results indicate that airborne hyperspectral imagery in conjunction with SVM and ML classification techniques is effective for detecting giant reed. Numéro de notice : A2012-371 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.643321 Date de publication en ligne : 04/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.643321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31817 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2012051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Mapping an annual weed with colour-infared aerial photography and image analysis / James H. Everitt in Geocarto international, vol 25 n° 1 (February 2010)  

Public [article]  inGeocarto international > vol 25 n° 1 (February 2010) . - pp 45 - 52 Titre : Mapping an annual weed with colour-infared aerial photography and image analysis Type de document : Article/Communication Auteurs : James H. Everitt, Auteur ; C. Yang, Auteur ; M.R. Davis, Auteur Année de publication : 2010 Article en page(s) : pp 45 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse d'image numérique [Termes IGN] carte de la végétation [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] image numérisée [Termes IGN] parcours [Termes IGN] photographie aérienne [Termes IGN] photographie en couleur [Termes IGN] photographie infrarouge [Termes IGN] surveillance de la végétation [Termes IGN] Texas (Etats-Unis) Résumé : (Auteur) Silverleaf sunflower (Helianthus argophyllus, Torr and Gray) is an annual weed found on rangelands in south and southeast Texas. Colour-infrared aerial photography and computer image analysis techniques were evaluated for detecting and mapping silverleaf sunflower infestations on a south Texas rangeland area. Supervised and unsupervised image analysis classification techniques were used to classify photographs from two study sites. Supervised classification of the two photographs showed that silverleaf sunflower had mean producer's and user's accuracies of 95.2% and 91.3%, respectively. Unsupervised classification of the two photographs had mean producer's and user's accuracies for silverleaf sunflower of 65.7% and 80.1%, respectively. These results indicate that the supervised technique is superior to the unsupervised technique for mapping silverleaf sunflower infestations using colour-infrared aerial photos. Numéro de notice : A2010-053 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802677037 Date de publication en ligne : 31/03/2009 En ligne : https://doi.org/10.1080/10106040802677037 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30249 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2010011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast / C. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 4 (April 2009) . - pp 425 - 435 Titre : Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast Type de document : Article/Communication Auteurs : C. Yang, Auteur ; James H. Everitt, Auteur ; R.S. Fletcher, Auteur Année de publication : 2009 Article en page(s) : pp 425 - 435 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte de la végétation [Termes IGN] classification barycentrique [Termes IGN] classification par la distance de Mahalanobis [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification spectrale [Termes IGN] image aérienne [Termes IGN] image AISA+ [Termes IGN] image hyperspectrale [Termes IGN] Kappa de Cohen [Termes IGN] littoral [Termes IGN] mangrove [Termes IGN] Mexique (golfe du) Résumé : (Auteur) Mangrove wetlands are economically and ecologically important ecosystems and accurate assessment of these wetlands with remote sensing can assist in their management and conservation. This study was conducted to evaluate airborne AISA+ hyperspectral imagery and image transformation and classification techniques for mapping black mangrove populations on the south Texas Gulf coast. AISA+ hyperspectral imagery was acquired from two study sites and both minimum noise fraction (MNF) and inverse MNF transforms were performed. Four classification methods, including minimum distance, Mahalanobis distance, maximum likelihood, and spectral angle mapper (SAM), were applied to the noise-reduced hyperspectral imagery and to the band-reduced MNF imagery for distinguishing black mangrove from associated plant species and other cover types. Accuracy assessment showed that overall accuracy varied from 84 percent to 95 percent for site 1 and from 69 percent to 91 percent for site 2 among the eight classifications for each site. The MNF images provided similar or better classification results compared with the hyperspectral images among the four classifiers. Kappa analysis showed that there were no significant differences among the four classifiers with the MNF imagery, though maximum likelihood provided excellent overall and class accuracies for both sites. Producer’s and user’s accuracies for black mangrove were 91 percent and 94 percent, respectively, for site 1 and both 91 percent for site 2 based on maximum likelihood applied to the MNF imagery. These results indicate that airborne hyperspectral imagery combined with image transformation and classification techniques can be a useful tool for monitoring and mapping black mangrove distributions in coastal environments. Copyright ASPRS Numéro de notice : A2009-107 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.75.4.425 En ligne : https://doi.org/10.14358/PERS.75.4.425 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29737 [article]

A six-camera digital video imaging system sensitive to visible, red edge, near-infrared, and mid-infrared wavelengths / R.S. Fletcher in Geocarto international, vol 22 n° 2 (June - August 2007)  

Public [article]  inGeocarto international > vol 22 n° 2 (June - August 2007) . - pp 75 - 86 Titre : A six-camera digital video imaging system sensitive to visible, red edge, near-infrared, and mid-infrared wavelengths Type de document : Article/Communication Auteurs : R.S. Fletcher, Auteur ; James H. Everitt, Auteur Année de publication : 2007 Article en page(s) : pp 75 - 86 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] caméra numérique [Termes IGN] capteur imageur [Termes IGN] image multibande [Termes IGN] image vidéo [Termes IGN] rayonnement infrarouge [Termes IGN] rayonnement lumineux [Termes IGN] vidéo numérique Résumé : (Auteur) This paper describes a six-camera multispectral digital video imaging system designed for natural resource assessment and shows its potential as a research tool. It has five visible to near-infrared light sensitive cameras, one near-infrared to mid-infrared light sensitive camera, a monitor, a computer with a multichannel digitizing board, a keyboard, a power distributor, an amplifier, and a mouse. Each camera is fitted with a narrowband interference filter, allowing the system to obtain imagery in the blue (447 - 455 nm), green (555 - 565 nm), red (625 - 635 nm), red edge (704 - 716 nm), near-infrared (814-826 nm), and mid-infrared (1631 - 1676 nm) regions of the electromagnetic spectrum. Analogue video acquired by this system is converted to digital format. Radiometric resolution of the imagery is 8-bit (pixel values range 0 - 255). Images obtained by the system can be evaluated individually and/or in combination with each other to assess natural resources. Copyright Taylor & Francis Numéro de notice : A2007-458 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701201608 Date de publication en ligne : 18/06/2007 En ligne : https://doi.org/10.1080/10106040701201608 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28821 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-07021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Evaluating airborne hyperspectral imagery for rangeland assessment in south Texas / James H. Everitt in Geocarto international, vol 19 n° 3 (September - November 2004)  

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Applications and research using remote sensing for rangeland management / E.R. Hunt in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)  

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Remote sensing techniques to assess water quality / J.C. Ritchie in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)  

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A CCD camera-based hyperspectral imaging system for stationary and airborne applications / C. Yang in Geocarto international, vol 18 n° 2 (June - August 2003)  

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Relationship between plant spectral reflectances and their image tonal responses on aerial photographs / D.E. Escobar in Geocarto international, vol 17 n° 2 (June - August 2002)  

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Aerospace video imaging systems for rangeland management / James H. Everitt in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 3 (march 1990)  

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Estimating grassland phytomass production with near-infrared and mid-infrared spectral variables / James H. Everitt in Remote sensing of environment, vol 30 n° 3 (01/12/1989)  

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Mid-infrared video : a possible tool for thermal analysis of wildfires / James H. Everitt in Geocarto international, vol 4 n° 4 (December 1989 - February 1990)  

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Using multispectral video imagery for detecting soil surface conditions / James H. Everitt in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 4 (april 1989)  

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Detecting saline soils with video imagery / James H. Everitt in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 9 (september 1988)  

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