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A digital camera as a tool to measure colour indices and related properties of sandy soils in semi-arid environments / N. Levin in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)
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Titre : A digital camera as a tool to measure colour indices and related properties of sandy soils in semi-arid environments Type de document : Article/Communication Auteurs : N. Levin, Auteur ; Eyal Ben-Dor, Auteur ; A. Singer, Auteur Année de publication : 2005 Article en page(s) : pp 5475 - 5492 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] caméra numérique
[Termes IGN] composition chimique
[Termes IGN] couleur du sol
[Termes IGN] étalonnage des données
[Termes IGN] fer
[Termes IGN] image RVB
[Termes IGN] particule
[Termes IGN] sable
[Termes IGN] spectromètre
[Termes IGN] zone semi-arideRésumé : (Auteur) Soil colour carries important information regarding the soil's chemical and physical properties. However, common practices for measuring soil colour, either by Munsell charts or by field/laboratory spectrometers, are insufficient, due to the subjective and nonquantitative character of the Munsell charts, and to the high cost and inconvenience of field spectrometers. We present herein, a method to characterize the colour of soil samples, and related chemical and physical properties of the soil, using a digital camera, and an array of coloured plastic chips, that are used for calibration purposes. Using 370 samples of sandy soils, we have demonstrated that both RGB values from digital images and their derived soil indices, correlate highly with similar measurements performed by a field spectrometer. When checked against free iron oxide content and against the percentage of fine particles in a subsample set of 42 soils, the redness index as measured by the digital camera gave similar or better correlations than those obtained from a field spectrometer, against both free iron oxides and fine particle contents (R2 of 89% for the iron oxides, and of for the fine particles). We propose the use of a digital camera as a field analytical tool to determine precisely: soil colour, iron oxide and fine particle content. Further study in this direction, with other soil population and more soil properties, is strongly advised in order to launch this as a vastly applicable and generic method. Numéro de notice : A2005-522 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500099444 En ligne : https://doi.org/10.1080/01431160500099444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27658
in International Journal of Remote Sensing IJRS > vol 26 n° 24 (December 2005) . - pp 5475 - 5492[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05241 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA / L. Li in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)
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Titre : Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA Type de document : Article/Communication Auteurs : L. Li, Auteur ; S.L. Ustin, Auteur ; M. Lay, Auteur Année de publication : 2005 Article en page(s) : pp 5193 - 5207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] analyse discriminante
[Termes IGN] analyse multibande
[Termes IGN] bande infrarouge
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte de la végétation
[Termes IGN] image AVIRIS
[Termes IGN] littoral
[Termes IGN] marais salé
[Termes IGN] plante halophileRésumé : (Auteur) Multiple endmember spectral mixture analysis (MESMA) was applied to the Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) imagery of a salt marsh in China Camp at San Pablo Bay, California, A nine-endmember set representing materials within the scene was used including: two Salicornia and two soils, and Grindelia, Spartina, dry grass, water and shade. The resultant abundance maps were used to investigate the spatial distribution of the marsh vegetation species, Salicornia virginica, Grindelia Stricta and Spartinafoliosa. The Spartina abundance map exhibited a well-defined zone bordering the water and the lower marsh, which is in good agreement with the field observations made in 2002. Comparison of the Salicornia map with all six field global positional system (GPS) polygons indicates Salicornia was classified with high accuracy. The proposed approach did a good job in classifying Spartina and Salicornia which cover 93.81% of the total marsh. The Grindelia fraction image underestimates in some areas, while in other areas it shows false detection. This misclassification is attributed to the spectral similarity between Grindelia and Salicornia and to the small patch size of Grindelia. Further work is required to solve this confusion. Numéro de notice : A2005-514 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500218911 En ligne : https://doi.org/10.1080/01431160500218911 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27650
in International Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5193 - 5207[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05231 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Mapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data / P.T. Wolter in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)
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Titre : Mapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data Type de document : Article/Communication Auteurs : P.T. Wolter, Auteur ; C.A. Johnston, Auteur ; G.J. Niemi, Auteur Année de publication : 2005 Article en page(s) : pp 5255 - 5274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte de la végétation
[Termes IGN] données bathymétriques
[Termes IGN] écosystème
[Termes IGN] Etats-Unis
[Termes IGN] Grands Lacs
[Termes IGN] image multitemporelle
[Termes IGN] image Quickbird
[Termes IGN] macrophyte
[Termes IGN] photo-interprétationRésumé : (Auteur) Submergent aquatic vegetation (SAV) is a powerful indicator of environmental conditions in both marine and fresh water ecosystems. Quickbird imagery was used to map SAV at three sites across the Great Lakes. Unsupervised classifications were performed at each site using summer Quickbird sensor data. At one site, a multi-temporal classification approach was added, combining visible red difference (May August) with August red and green visible band data. Multi-temporal SAV classification was superior to single-date results at this site. Muck bottom was not seriously confused with SAV, which was unexpected. Multi-temporal classification results showed less confusion between deep water and SAV, although spectral variability due to sub-surface sandbar structure was a source of error in both single-and multi-date classifications. Nevertheless, some of the confounding effects of water column on SAV classification appear to have been mitigated using this multi-temporal approach. Future efforts would be well served by incorporating detailed, continuous, bathymetry data in the classification process. Quickbird sensor data are very useful for classifying SAV under US Great Lakes conditions. However, regional classification efforts using these data may be impractical at this time, as high cost, rigid tasking parameters and impredictable water conditions limit availability of suitable imagery. Numéro de notice : A2005-516 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500219208 En ligne : https://doi.org/10.1080/01431160500219208 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27652
in International Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5255 - 5274[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05231 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Using satellite imagery and GIS for land-use and land-cover change mapping in an estuarine watershed / X. Yang in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)
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Titre : Using satellite imagery and GIS for land-use and land-cover change mapping in an estuarine watershed Type de document : Article/Communication Auteurs : X. Yang, Auteur ; Z. Liu, Auteur Année de publication : 2005 Article en page(s) : pp 5275 - 5296 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] baie
[Termes IGN] bassin hydrographique
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte thématique
[Termes IGN] changement d'occupation du sol
[Termes IGN] classification
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] croissance urbaine
[Termes IGN] dégradation de l'environnement
[Termes IGN] écosystème
[Termes IGN] estuaire
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] littoral
[Termes IGN] Mexique (golfe du)
[Termes IGN] précision de la classification
[Termes IGN] protection de l'environnement
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The degradation of world-wide estuarine ecosystems as a result of accelerated human population growth accompanied by agricultural, industrial and urban development justifies a strong need to find efficient ways to manage and protect these sensitive environments. Starting from 2001. the authors have been involved in an interdisciplinary research project aiming to develop environmental indicators for integrated estuarine ecosystem assessment in the Gulf of Mexico. As part of this project, a study was conducted to characterize land-use and land-cover changes with the Pensacola estuarine drainage area as a case. The Pensacola bay was targeted because it is one of few exemplary large river-driven estuarine systems across the northern Gulf of Mexico. The study had two major sections. The first part was dedicated to the development of an improved method for coastal land-use and land-cover mapping, which was built upon hierarchical classification and spatial reclassification. An image scene was separated into urban and rural regions early in the classification, with a 'mask' defined by road intersection density slices combined with road buffers. Each part was classified independently in its most effective context and, later, both were merged to form a complete map. In spatial reclassification, image interpretation procedures, auxiliary vector data and a variety of Geographical Information System (GIS) functions were synthesized to resolve spectral confusion and improve mapping accuracy. This method was used to map land use and land cover from Landsat Thematic Mapper/Enhanced Thernatic Mapper Plus (TM/ETM +) imagery for 1989, 1996 and 2002, respectively. The accuracy assessment shows that the overall classification errors were less than 10%. The second part focused on the analysis of the spatio-temporal dynamics of estuarine land-use and land-cover changes by using post-classification comparison and GIS overlay techniques. The project has revealed that a substantial growth of low-density urban land occurred in the lower drainage basin in connection with population and housing growth, as well as a significant increase of mixed forest land in the upper watershed as a result of active logging and harvesting operations. These growths were achieved at the cost of evergreen forest and wetlands, thus compromising safeguards for water quality, biodiversity of aquatic systems, habitat structure and watershed health in the Pensacola estuarine drainage area. Numéro de notice : A2005-517 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500219224 En ligne : https://doi.org/10.1080/01431160500219224 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27653
in International Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5275 - 5296[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05231 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Utilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture / E. Tonye in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)
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Titre : Utilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture Type de document : Article/Communication Auteurs : E. Tonye, Auteur ; A. Akono, Auteur ; Jean-Paul Rudant , Auteur ; et al., Auteur
Année de publication : 2005 Article en page(s) : pp 3 - 17 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse discriminante
[Termes IGN] analyse texturale
[Termes IGN] bande C
[Termes IGN] Cameroun
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] littoral
[Termes IGN] mangrove
[Termes IGN] marais
[Termes IGN] matrice de co-occurrence
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] polarisation
[Termes IGN] signature texturale
[Termes IGN] texture d'imageRésumé : (Auteur) Dans ce travail, on montre l'avantage des paramètres de texture d'ordre supérieur à 2 pour la discrimination des classes d'occupation du sol sur une image radar à synthèse d'ouverture (RSO). En effet, plusieurs études de classification texturales d'images RSO ont été effectuées jusqu'à maintenant, mais la plupart de ces études utilisent la technique des matrices de co-occurrence de niveaux de gris, qui est elle-même basée sur les paramètres de texture d'ordre 2. Dans cette étude, on mesure les signatures texturales aux ordres 2, 3 et 4 en quatre points distincts représentant quatre classes d'occupation du sol sur une image RSO ERS-1 de la côte Atlantique du Cameroun. Les signatures texturales mesurées sont établies à base de 17 paramètres de texture suffisamment discriminants. Une comparaison des signatures est ensuite effectuée et on constate que les signatures d'ordre supérieur produisent le meilleur taux de discrimination des classes d'occupation du sol. Numéro de notice : A2005-554 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27690
in Revue Française de Photogrammétrie et de Télédétection > n° 179 (Décembre 2005) . - pp 3 - 17[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-05031 RAB Revue Centre de documentation En réserve L003 Disponible Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)
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