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Auteur J. Rogan |
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Measuring the physical composition of urban morphology using multiple endmember spectral mixture models / T. Rashed in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Measuring the physical composition of urban morphology using multiple endmember spectral mixture models Type de document : Article/Communication Auteurs : T. Rashed, Auteur ; J.R. Weeks, Auteur ; J. Rogan, Auteur ; R.W. Powell, Auteur ; D.A. Roberts, Auteur Année de publication : 2003 Article en page(s) : pp 1011 - 1020 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes descripteurs IGN] erreur moyenne quadratique
[Termes descripteurs IGN] image Landsat-TM
[Termes descripteurs IGN] Los Angeles
[Termes descripteurs IGN] méthode robuste
[Termes descripteurs IGN] morphologie mathématique
[Termes descripteurs IGN] multiple endmember spectral mixture analysis
[Termes descripteurs IGN] pixelNuméro de notice : A2003-231 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22526
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 1011 - 1020[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-03091 RAB Revue Centre de documentation En réserve 3L Disponible 105-03092 RAB Revue Centre de documentation En réserve 3L Disponible Land-cover change monitoring with classification trees using Landsat TM and ancillary data / J. Rogan in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)
[article]
Titre : Land-cover change monitoring with classification trees using Landsat TM and ancillary data Type de document : Article/Communication Auteurs : J. Rogan, Auteur ; D. Stow, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 793 - 804 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] classification ascendante hiérarchique
[Termes descripteurs IGN] couvert végétal
[Termes descripteurs IGN] détection de changement
[Termes descripteurs IGN] données auxiliaires
[Termes descripteurs IGN] flore locale
[Termes descripteurs IGN] image Landsat-TM
[Termes descripteurs IGN] occupation du sol
[Termes descripteurs IGN] San DiegoRésumé : (Auteur) We monitored land-cover change in San Diego County (1990-1996) using multitemporal Landsat TM data. Change vectors of Knuth Thomas features were combined with stable multitemporal Knuth Thomas features and a suite of ancillary variables within a classification tree classifier. A combination of aerial photo-interpretation and field measurements yielded training and validation data. Maps of land-cover change were generated for three hierarchical levels of change classification of increasing detail: change vs. no-change; four classes representing broad increase and decrease classes; and nine classes distinguishing increases or decreases in tree canopy cover, shrub cover, and urban change, The multitemporal Kauth Thomas (both stable and change features representing brightness, greenness, and wetness) provided information for magnitude and direction of land-cover change. Overall accuracies of the land-cover change maps were high (72 to 92 percent). Ancillary variables representing elevation, fire history, and slope were most significant in mapping the most complicated level of land-cover change, contributing 15 percent to overall accuracy. Glassification trees have not previously been used operationally with -remotely sensed and ancillary data to map land-cover change at this level of thematic detail. Numéro de notice : A2003-155 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22451
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 7 (July 2003) . - pp 793 - 804[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-03072 RAB Revue Centre de documentation En réserve 3L Disponible 105-03071 RAB Revue Centre de documentation En réserve 3L Disponible Mapping wildfire burns severity in southern California forests and shrub lands using enhanced Thematic Mapper imagery / J. Rogan in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)
[article]
Titre : Mapping wildfire burns severity in southern California forests and shrub lands using enhanced Thematic Mapper imagery Type de document : Article/Communication Auteurs : J. Rogan, Auteur ; Janet Franklin, Auteur Année de publication : 2001 Article en page(s) : pp 89 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] analyse multibande
[Termes descripteurs IGN] carte de la végétation
[Termes descripteurs IGN] cartographie thématique
[Termes descripteurs IGN] classification
[Termes descripteurs IGN] image Landsat-ETM+
[Termes descripteurs IGN] incendie de forêt
[Termes descripteurs IGN] risque naturelRésumé : (Auteur) Wildfire is a major disturbance agent in Mediterranean Type Ecosystems (MTEs). Providing reliable, quantitative information on the area of burns and the level of damage caused is therefore important both for guiding resource management and global change monitoring. Previous studies have successfully mapped burn severity using remote sensing, but reliable accuracy has yet to be gained using standard methods over different vegetation types. The objective of this research was to classify burn severity across several vegetation types using Landsat ETM imagery in two areas affected by wildfire in southern California in June 1999. Spectral mixture analysis (SMA) using four reference endmembers (vegetation, soil, shade, non-photosynthetic vegetation) and a single (charcoal-ash) image endmember were used to enhance imagery prior to burn severity classification using decision trees. SMA provided a robust technique for enhancing fire-affected areas due to its ability to extract sub~pixel information and minimize the effects of topography on single date satellite data. Overall kappa classification accuracy results were high (0. 71 and 0.85, respectively)jor the burned areas, using five canopy consumption classes. Individual severity class accuracies ranged from 0.5 to 0.94. Numéro de notice : A2002-041 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21958
in Geocarto international > vol 16 n° 4 (December 2001 - February 2002) . - pp 89 - 99[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-01041 RAB Revue Centre de documentation En réserve 3L Disponible