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Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt / T. Rashed in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)  

Public [article]  inGeocarto international > vol 16 n° 4 (December 2001 - February 2002) . - pp 5 - 15 Titre : Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt Type de document : Article/Communication Auteurs : T. Rashed, Auteur ; J.R. Weeks, Auteur ; M.S. Gadalla, Auteur ; A. Hill, Auteur Année de publication : 2001 Article en page(s) : pp 5 - 15 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse spectrale [Termes IGN] carte d'occupation du sol [Termes IGN] classification dirigée [Termes IGN] Egypte [Termes IGN] image multibande [Termes IGN] milieu urbain [Termes IGN] occupation du sol Résumé : (Auteur) This paper examines the feasibility of spectral mixture analysis (SMA) in deriving comparable physical measures of urban land cover that describe the morphological characteristics of cities. SMA offers a way of analyzing satellite imagery of urban areas that may be superior to more standard methods of classification. Mixing models are based on the assumption that the remotely measured spectrum of a given pixel can be modeled as a combination of pure spectra, called endmembers. SMA, using four image endmembers (vegetation, impervious surface, soil, and shade), was applied to an IRS-1C multispectral image in order to extract measures that describe the anatomy of the Greater Cairo region, Egypt, in terms of endmember fractions. The resulting fractions were then used to classify the urban scene into eight classes of natural and human-built features through a decision tree (DT) classifier. The accuracy of the DT classification was compared to the accuracies of two per-pixel supervised classifications of the IRS-1C image employing maximum likelihood (ML) and minimum distance-to-means (MDM) classifiers. Overall KAPPA accuracies were 0. 88 for the DT classification based on SMA fractions, and 0.60 and 0.45 for the classifications conducted through ML and MDM respectively. Numéro de notice : A2002-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040108542210 En ligne : https://doi.org/10.1080/10106040108542210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21955 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A robust texture analysis and classification approach for urban land-use and land-cover feature discrimination / S.W. Myint in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)  

Public [article]  inGeocarto international > vol 16 n° 4 (December 2001 - February 2002) . - pp 27 - 38 Titre : A robust texture analysis and classification approach for urban land-use and land-cover feature discrimination Type de document : Article/Communication Auteurs : S.W. Myint, Auteur Année de publication : 2001 Article en page(s) : pp 27 - 38 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image numérique [Termes IGN] analyse discriminante [Termes IGN] analyse texturale [Termes IGN] base de données d'occupation du sol [Termes IGN] image multibande [Termes IGN] méthode robuste [Termes IGN] occupation du sol [Termes IGN] photo-interprétation [Termes IGN] reconnaissance d'objets [Termes IGN] transformation en ondelettes [Termes IGN] utilisation du sol Résumé : (Auteur) Attempts to analyze urban features and to classify land use and land cover directly from high-resolution satellite data with traditional computer classification techniques have proven to be inefficient for two primary reasons. First, urban landscapes are composed of complex features. Second, traditional classifiers employ spectral information based on single pixel value and ignore a great amount of spatial information. Texture plays an important role in image segmentation and object recognition, as well as in interpretation of images in a variety of applications. This study analyzes urban texture features in multi-spectral image data. Recent developments in the very powerful mathematical theory of wavelet transforms have received overwhelming attention by image analysts. An evaluation of the ability of wavelet transform in urban feature extraction and classification was performed in this study, with six types of urban land cover features classified. The preliminary results of this research indicate that the accuracy of texture analysis in classifying urban features in fine resolution image data could be significantly improved with the use of wavelet transform approach. Numéro de notice : A2002-039 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040108542212 En ligne : https://doi.org/10.1080/10106040108542212 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21956 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Use of very high spatial resolution remotely sensed imagery for assessing land-cover changes in shrub habitat preserves of the southern California / P. Longmire in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)  

Public [article]  inGeocarto international > vol 16 n° 4 (December 2001 - February 2002) . - pp 47 - 57 Titre : Use of very high spatial resolution remotely sensed imagery for assessing land-cover changes in shrub habitat preserves of the southern California Type de document : Article/Communication Auteurs : P. Longmire, Auteur ; D. Stow, Auteur Année de publication : 2001 Article en page(s) : pp 47 - 57 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] bande visible [Termes IGN] Californie (Etats-Unis) [Termes IGN] détection de changement [Termes IGN] flore locale [Termes IGN] image à très haute résolution [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] image multitemporelle [Termes IGN] occupation du sol [Termes IGN] rayonnement proche infrarouge [Termes IGN] superposition d'images Résumé : (Auteur) The goal of this research was to explore the utility of very high spatial resolution, digital remotely sensed imagery for monitoring land-cover changes in habitat preserves within southern California coastal shrublands. Changes were assessed for Los Penasquitos Canyon Preserve, a large open space in San Diego County, over the 1996 to 1999 period for which imagery was available. Multispectral, digital camera imagery from two summer dates, three years apart, was acquired using the Airborne Data Acquisition and Registration (ADAR) digital-camera system. These very high resolution (VHR) image data (1 m), composed of three visible and one near-infrared wavebands (V/NIR), were the primary image input for assessing land cover change. Image-derived datasets generated from georeferenced and registered ADAR imagery included multitemporal overlays and multitemporal band differencing with threshold selection. Two different multitemporal image classifications were generated from these datasets and compared. Single-date imagery was analyzed interactively with image-derived datasets and with information from field observations in an effort to discern change types. A ground sampling survey conducted soon after the 1999 image acquisition provided concurrent ground reference data. Most changes occurring within the three-year interval were associated with transitional phenological states and differential precipitation effects on herbaceous cover. Variations in air temperatures and timing of rainfall contributed to differences that the seven-week image acquisition offset may have caused. Disturbance factors of mechanical clearing, erosion, potentially invasive plants, andfire were evident and their influence on the presence, absence, and type of vegetation cover were likely sources of change signals. The multitemporal VHR, V/NIR image data enabled relatively fine-scale land cover changes to be detected and identified. Band differencing followed by mutlitemporal classification provided an effective means for detecting vegetation increase or decrease. Detailed information on short term disturbance effects and long-term vegetation type conversions can be extracted if image acquisitions are carefully planned and geometric and radiometric processing steps are implemented. Numéro de notice : A2002-040 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040108542214 En ligne : https://doi.org/10.1080/10106040108542214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21957 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-01041	RAB	Revue	Centre de documentation	En réserve L003	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)  

Public [article]  inGeocarto international > vol 16 n° 4 (December 2001 - February 2002) . - pp 89 - 99 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 IGN] analyse multibande [Termes IGN] carte de la végétation [Termes IGN] cartographie thématique [Termes IGN] classification [Termes IGN] image Landsat-ETM+ [Termes IGN] incendie de forêt [Termes IGN] risque naturel Résumé : (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 DOI : 10.1080/10106040108542218 En ligne : https://doi.org/10.1080/10106040108542218 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21958 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible