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Coal fire mapping from satellite thermal IR data: a case example in Jharia Coalfield, Jharkhand, India / R.S. Chatterjee in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)
[article]
Titre : Coal fire mapping from satellite thermal IR data: a case example in Jharia Coalfield, Jharkhand, India Type de document : Article/Communication Auteurs : R.S. Chatterjee, Auteur Année de publication : 2006 Article en page(s) : pp 113 - 128 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] charbon
[Termes IGN] exitance spectrale
[Termes IGN] image Landsat-TM
[Termes IGN] impact sur l'environnement
[Termes IGN] incendie
[Termes IGN] Inde
[Termes IGN] pollution atmosphérique
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] température de surfaceRésumé : (Auteur) Coal fire has been found to be a serious problem worldwide in coal mining processes. Coal fire burns valuable coal reserve and prevents access to proven reserve in the affected area. Moreover, it leads to severe environmental degradation of the region by an overall increase of the ambient atmospheric temperature, by the emission of obnoxious gases (e.g., SO2, NO, CO, CH4) along fissures and cracks and by causing land subsidence and collapse. Jharia Coalfield, Jharkhand, India, is known for being the exclusive storehouse of prime coking coal as well as for hosting the maximum number of known coal fires among all the coalfields in the country. In this paper, some of the important issues of coal fire mapping from satellite thermal IR data have been addressed in particular reference to Jharia Coalfield. Namely, these are: retrieval of true spectral radiance from raw digital data using scene-specific calibration coefficients of the detectors, thermal emissivity of surface materials to obtain kinetic temperature at each ground resolution cell of satellite data, field-based modelling of pixel-integrated temperature for differentiating surface and subsurface fire pixels in Landsat TM thermal IR data, identification of surface coal fire locations from reflected IR data and lateral propagation of coal fire. Copyright ISPRS Numéro de notice : A2006-144 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27871
in ISPRS Journal of photogrammetry and remote sensing > vol 60 n° 2 (April 2006) . - pp 113 - 128[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-06021 SL Revue Centre de documentation Revues en salle Disponible 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)
[article]
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 ASTER geometric performance / A. Iwasaki in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)
[article]
Titre : ASTER geometric performance Type de document : Article/Communication Auteurs : A. Iwasaki, Auteur ; Hiroyuki Fujisada, Auteur Année de publication : 2005 Article en page(s) : pp 2700 - 2706 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Advanced Spaceborne Thermal Emission and Reflection Radiometer
[Termes IGN] bande infrarouge
[Termes IGN] corrélation croisée normalisée
[Termes IGN] géométrie de l'image
[Termes IGN] image multibande
[Termes IGN] qualité d'image
[Termes IGN] qualité géométrique (image)
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] validation des donnéesRésumé : (Auteur) The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) system acquires multispectral images ranging from the visible to thermal infrared region. The ASTER system consists of three subsystems: visible and near-infrared (VNIR), short-wave infrared (SWIR) and thermal infrared (TIR) radiometers. The VNIR subsystem has a backward-viewing telescope as well as a nadir one. To deliver data products of high quality from the viewpoint of geolocation and hand-to-hand registration performance, a fundamental program, called Level-1 data processing, has been developed for images obtained using four telescopes with a cross-track pointing function. In this work, the methodology of the geometric validation is first described. Next, the image quality of ASTER data products is evaluated in view of the geometric performance over a period of four years. The hand-to-hand registration accuracy in the subsystem is better than 0.1 pixels and that between subsystems is better than 0.2 pixels. This means that the geometric database is determined accurately and the image matching method based on a cross-correlation function is effective in the operational usage. Numéro de notice : A2005-510 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.849055 En ligne : https://ieeexplore.ieee.org/document/1542340 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27646
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 12 (December 2005) . - pp 2700 - 2706[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05121 RAB Revue Centre de documentation Revues en salle Disponible Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI / L.F. Peres in IEEE Transactions on geoscience and remote sensing, vol 43 n° 8 (August 2005)
[article]
Titre : Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI Type de document : Article/Communication Auteurs : L.F. Peres, Auteur ; C.C. Dacamara, Auteur Année de publication : 2005 Article en page(s) : pp 1834 - 1844 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] bande infrarouge
[Termes IGN] couvert végétal
[Termes IGN] emissivité
[Termes IGN] image MSG-SEVIRI
[Termes IGN] image Terra-MODIS
[Termes IGN] température au solRésumé : (Auteur) Retrieval of land-surface temperature (LST) using data from the METEOSAT Second Generation-1 (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) requires adequate estimates of land-surface emissivity (LSE). In this context, LSE maps for SEVIRI channels IR3.9, IR8.7, IR10.8, and IR12.0 were developed based on the vegetation cover method. A broadband LSE map (3-14 um) was also developed for estimating longwave surface fluxes that may prove to be useful in both energy balance and climate modeling studies. LSE is estimated from conventional static land-cover classifications, LSE spectral data for each land cover, and fractional vegetation cover (FVC) information. Both International Geosphere-Biosphere Program (IGBP) Data and Information System (DIS) and Moderate Resolution Imaging Spectrometer (MODIS) MOD12Q1 land-cover products were used to build the LSE maps. Data on LSE were obtained from the Johns Hopkins University and Jet Propulsion Laboratory spectral libraries included in the Advanced Spaceborne Thermal Emission and Reflection Radiometer spectral library, as well as from the MODIS University of California-Santa Barbara spectral library. FVC data for each pixel were derived based on the normalized differential vegetation index. Depending on land cover, the LSE errors for channels IR3.9 and IR8.7 spatially vary from +0.6% to +24% and +0.1% to +33%, respectively, whereas the broadband spectrum errors lie between +0.3% and +7%. In the case of channels IR10.8 and IR12.0,73% of the land surfaces within the MSG disk present relative errors less than +1.5%, and almost all (26%) of the remaining areas have relative errors of +2.0 %. Developed LSE maps provide a first estimate of the ranges of LSE in SEVIRI channels for each surface type, and obtained results may be used to assess the sensitivity of algorithms where an a priori knowledge of LSE is required. Numéro de notice : A2005-392 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.851172 En ligne : https://doi.org/10.1109/TGRS.2005.851172 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27528
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 8 (August 2005) . - pp 1834 - 1844[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05081 RAB Revue Centre de documentation En réserve L003 Disponible Automated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : Automated road extraction from high resolution multispectral imagery Type de document : Article/Communication Auteurs : P. Doucette, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2004 Article en page(s) : pp 1405 - 1416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] axe médian
[Termes IGN] bande infrarouge
[Termes IGN] banlieue
[Termes IGN] classification dirigée
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] image en couleur
[Termes IGN] image multibande
[Termes IGN] logique floue
[Termes IGN] milieu urbain
[Termes IGN] parallélisme
[Termes IGN] topologieRésumé : (Auteur) This work presents a novel methodology for fully automated road centerline extraction that exploits spectral content from high resolution multispectral images. Preliminary detection of candidate road centerline components is performed with Anti-parallel-edge Centerline Extraction (ACE). This is followed by constructing a road vector topology with a fuzzy grouping model that links nodes from a self-organized mapping of the ACE components. Following topology construction, a Self-Supervised Road Classification (SSRC) feedback loop is implemented to automate the process of training sample selection and refinement for a road class, as well as deriving practical spectral definitions for non-road classes. SSRC demonstrates a potential to provide dramatic improvement in road extraction results by exploiting spectral content. Road centerline extraction results are presented for three 1 m color infrared suburban scenes which show significant improvement following SSRC. Numéro de notice : A2004-502 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1405 En ligne : https://doi.org/10.14358/PERS.70.12.1405 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27019
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