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Détection de feux de forêt par analyse statistique d'évènements rares à partir d'images infrarouges thermiques / Florent Lafarge in Traitement du signal, vol 24 n° 1 ([01/02/2007])
[article]
Titre : Détection de feux de forêt par analyse statistique d'évènements rares à partir d'images infrarouges thermiques Titre original : Forest fire detection by statistical analysis of rare events from thermical infrared images Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Xavier Descombes, Auteur ; Josiane Zerubia, Auteur ; S. Mathieu-Marni, Auteur Année de publication : 2007 Conférence : GRETSI 2005, 20e Colloque sur le traitement du signal et des images 06/09/2005 09/09/2005 Louvain Belgique OA proceedings Article en page(s) : pp 1 - 12 Note générale : bibliographie Langues : Français (fre) Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] champ aléatoire conditionnel
[Termes IGN] image satellite
[Termes IGN] image thermique
[Termes IGN] incendie de forêtRésumé : (auteur) Le canal IRT (InfraRouge Thermique) contient des longueurs d'onde particulièrement sensibles à l'émission de chaleur. Les feux de forêt peuvent alors être caractérisés par des pics d'intensité sur des images IRT. Nous proposons une méthode automatique de détection des feux de forêt par imagerie satellitaire fondée sur la théorie des champs aléatoires. Pour ce faire, nous cherchons à modéliser dans un premier temps l'image par une réalisation d'un champ gaussien. Les zones de feux, minoritaires et de fortes intensités sont considérées comme des éléments étrangers à ce champ : ce sont des évènements rares. Ensuite, par une analyse statistique, nous déterminons un jeu de probabilités définissant, pour une zone donnée de l'image, un degré d'appartenance au champ gaussien, et par complémentarité aux zones potentiellement en feux. Numéro de notice : A2007-128 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://gretsi.fr/data/ts/pdf/2007_24_1_8905_1.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103326
in Traitement du signal > vol 24 n° 1 [01/02/2007] . - pp 1 - 12[article]Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm Type de document : Article/Communication Auteurs : M. Momeni, Auteur ; M.R. Saradjan, Auteur Année de publication : 2007 Article en page(s) : pp 190 - 198 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande spectrale
[Termes IGN] écart type
[Termes IGN] emissivité
[Termes IGN] erreur systématique
[Termes IGN] image Terra-MODIS
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] occupation du sol
[Termes IGN] régression linéaire
[Termes IGN] seuillage d'image
[Termes IGN] température au sol
[Termes IGN] température de surface
[Termes IGN] variation diurne
[Termes IGN] zone arideRésumé : (Auteur) Surface emissivity estimation is a significant factor for the land surface temperature estimation from remotely sensed data. For fully vegetated surfaces, the emissivity estimation is performed in a simple manner since the emissivity is relatively uniform. However, for arid land with sparse vegetation, the estimation is more complicated since the emissivity of the exposed soil and rock is highly variable. In this study, mean and difference emissivity for bands 31 and 32 of MODIS sensor have been derived based on NDVI values. First, the NDVI thresholds have been determined to separate bare soil, partially vegetated soil and fully vegetated land. Then regression relations have been derived to estimate mean and difference emissivity of the bare soil samples and partially vegetated surfaces. A constant emissivity is also used for fully vegetated area. Along with the correlations, standard deviations of the regression relations have been examined for a set of representative soil types. Standard deviations smaller than 0.003 in mean emissivity and smaller than 0.004 in difference emissivity are resulted in regression linear relations. Evaluation of the NDVI derived regression relations has been performed using the results of MODIS Day/Night Land Surface Temperature (LST) algorithm on a pair of MODIS images. Using around 45,500 pixels with different soil and land cover types, emissivity of each pixel in bands 31 and 32 have been estimated. The calculated emissivities have been compared with emissivities calculated by MODIS Day/Night LST algorithm. Biases and standard deviations of NDVI-based relations show relatively high agreement for mean and difference emissivity relations with Day/Night method results. It may be concluded that the proposed algorithm can be used as a rather simple alternative to complex emissivity estimation algorithms. Copyright Elsevier Numéro de notice : A2007-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.005 En ligne : https://doi.org/10.1016/j.rse.2006.08.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28387
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 190 - 198[article]Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses Type de document : Article/Communication Auteurs : H. Kobayashi, Auteur ; R. Suzuki, Auteur ; S. Kobayashi, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] changement climatique
[Termes IGN] forêt boréale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinophyta
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Russie
[Termes IGN] Sibérie
[Termes IGN] surveillance forestière
[Termes IGN] variation saisonnièreRésumé : (Auteur) Reliable monitoring of seasonality in the forest canopy leaf area index (LAI) in Siberian forests is required to advance the understanding of climate–forest interactions under global environmental change and to develop a forest phenology model within ecosystem modeling. Here, we compare multi-satellite (AVHRR, MODIS, and SPOT/VEGETATION) reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and LAI with aircraft-based spectral reflectance data and field-measured forest data acquired from April to June in 2000 in a larch forest near Yakutsk, Russia. Field data in a 30 x 30-m study site and aircraft data observed around the field site were used. Larch is a dominant forest type in eastern Siberia, but comparison studies that consider multi-satellite data, aircraft-based reflectance, and field-based measurement data are rarely conducted. Three-dimensional canopy radiative transfer calculations, which are based on Antyufeev and Marshak's [Antyufeev, V.S., & Marshak, A.L. (1990). Monte Carlo method and transport equation in plant canopies, Remote Sensing of Environment, 31, 183–191] Monte Carlo photon transport method combined with North's [North, P.R. (1996). Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946–956] geometric-optical hybrid forest canopy scene, helped elucidate the relationship between canopy reflectance and forest structural parameters, including several forest floor conditions. Aircraft-based spectral measurements and the spectral response functions of all satellite sensors confirmed that biases in reflectance seasonality caused by differences in spectral response functions among sensors were small. However, some reflectance biases occur among the near infrared (NIR) reflectance data from satellite products; these biases were potentially caused by absolute calibration errors or cloud/cloud shadow contamination. In addition, reflectance seasonality in AVHRR-based NIR data was very small compared to other datasets, which was partially due to the spring-to-summer increase in the amount of atmospheric water vapor. Radiative transfer simulations suggest that bidirectional reflectance effects were small for the study site and observation period; however, changes in tree density and forest floor conditions affect the absolute value of NIR reflectance, even if the canopy leaf area condition does not change. Reliable monitoring of canopy LAI is achieved by minimizing these effects through the use of NIR reflectance difference, i.e., the difference in reflectance on the observation day from the reflectance on a snow-free/pre-foliation day. This may yield useful and robust parameters for multi-satellite monitoring of the larch canopy LAI with less error from intersensor biases and forest structure/floor differences. Further validation with field data and combined use of other index (e.g. normalized difference water index, NDWI) data will enable an extension of these findings to all Siberian deciduous forests. Copyright Elsevier Numéro de notice : A2007-022 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.011 En ligne : https://doi.org/10.1016/j.rse.2006.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28388
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 238 - 252[article]Advances in mobile mapping technology / C. Vincent Tao (2007)
Titre : Advances in mobile mapping technology Type de document : Monographie Auteurs : C. Vincent Tao, Éditeur scientifique ; Jonathan Li, Éditeur scientifique Editeur : Londres : Taylor & Francis Année de publication : 2007 Collection : ISPRS Book Series Importance : 171 p. Format : 18 x 25 cm ISBN/ISSN/EAN : 978-0-415-42723-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] capteur (télédétection)
[Termes IGN] données multicapteurs
[Termes IGN] géoréférencement direct
[Termes IGN] navigation
[Termes IGN] photogrammétrie numérique
[Termes IGN] SIG nomade
[Termes IGN] système de numérisation mobile
[Termes IGN] télécommunication sans fil
[Termes IGN] télédétection aérienne
[Termes IGN] traitement d'imageIndex. décimale : 35.10 Acquisition d'images Résumé : (Editeur) The growing market penetration of internet mapping, satellite imaging and personal navigation has opened up great research and business opportunities to geospatial communities. Multi-platfom and multi-sensor integrated mapping technology has clearly established a trend towards fast geospatial data aquisition. Sensors can be mounted on various platforms, such as satellites, aircrafts or helicopters, terrestrial vehicules, waterbased vessels, and may even be hand-carried by individuals. Mobile mapping refers to a means of collecting geospatial data using mapping sensors mounted on mobile platform. its development was primarily driven by the advances in digital imaging and direct-geoferencing technologies. With the escalating use of telecommunication networks and increasing availability of low-cost and portable sensors, mobile mapping has become more dynamic, and even pervasive. This book addresses a wide variety of research issues in the mobile mapping community, ranging from system development to sensor integration, imaging algorithms and mobile GIS applications. Advances in Mobile Mapping Technology will provide researchers and practitioners a good overall view of what is being developed in this topical area. Note de contenu : *** Terrestrial and airborne mobile mapping systems
- Digital mobile mapping systems - state of the art and future trends / K.P. Schwarz and N. El-Sheimy
- GEOVAN: The mobile mapping system from the Cartographic Institute of Catalonia / J. Talaya, E. Bosch, R. Alamus, A. Serra and A. Baron
- ORTHOROAD: A low cost mobile mapping system for road mapping / G. Artese
- A mobile mapping system for road data capture via a single camera / H. Gontran, J. Skaloud and P.-Y. Gillieron
- Airborne remote sensing supporting traffic flow estimation / D.A. Grejner-Brzezinska, C.K. Toth and E. Paska
*** Multi-sensor integration
- Performance analysis of integrated IMU/DGPS systems for mobile mapping systems / A. W.L. Ip, N. El-Sheimy and M.M.R. Mostafa
- Appearance based positioning in urban environments using Kalman filtering / L. Paletta, R. Wack, G. Paar, G. Ogris and C. Le Gal
- Multi-sensor systems for pedestrian navigation and guidance services / G. Retscher
- Integrated technologies for augmented reality applications / A. Kealy and S. Scott-Young
*** Image processing and object extraction
- Constrained bundle adjustment of panoramic stereo images for Mars landing site mapping / K. Di, F.Xu and R. Li
- Vehicle classification from LiDAR data to support traffic flow estimates / C.K. Toth and D.A. Grejner-Brzezinska
- Extraction of streets in dense urban areas from segmented LiDAR data / X.Hu, C.V Tao and Y.Hu
- Semi-automated extraction of urban highway intersections from IKONOS imagery / H. Dong, J. Li and M.A. Chapman
*** Mobile GIS and distributed CIS
- Mobile GIS-based navigation guide / B. Huang, C. Xie and S. Y. Loh
- Framework for multi-risk emergency response / S. Zlatanova, D. Holweg and M. StratakisNuméro de notice : 21303 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55740 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 21303-01 35.10 Livre Centre de documentation En réserve M-103 Disponible Classification of biodiversity in Doi Inthanon national parc / H. Draux (2007)
Titre : Classification of biodiversity in Doi Inthanon national parc Type de document : Mémoire Auteurs : H. Draux, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2007 Importance : 37 p. Format : 21 x 30 cm Note générale : Report of multi-field projet, cycle des ingénieurs diplômés de l'ENSG 2ème année (IT2) Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatiale
[Termes IGN] biodiversité
[Termes IGN] carte thématique
[Termes IGN] classification automatique
[Termes IGN] correction d'image
[Termes IGN] image Landsat
[Termes IGN] image SPOT 5
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Normalized Difference Water Index
[Termes IGN] parc naturel national
[Termes IGN] ThaïlandeIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Ce document est le résultat d'un stage de trois mois effectué de Juin à Août 2007 au sein de la GISDTA à Bangkok (Thaïlande), dans le cadre de la seconde année du cycle d'Ingénieur de l'ENSG. Son objectif était de mieux comprendre la biodiversité existante dans le parc national "Doi Inthanon", en réalisant une classification de la zone à partir d'images satellites issues des capteurs des satellites de SPOT-5 et Landsat 5, ainsi que d'écrire un modèle capable de décrire les composantes des différentes classes. Note de contenu : Introduction
1. Inventory of the data
1. Satellite images
2. Data collected into the field
3. Thai forests
3.1. Characteristics
3.2. Distribution
2. Data processing
1. SPOT-5
2. LANDSAT 5
2.1. Geo-referencing
2.2. Model maker
3. Classifications
3.1. Manual classification
3.1.a. Segmentation
3.1.b. Choices
3.2. Automatic classification
3.2.a. Result
3.2.b. Comparison between the visual classification and the model
3. Interpretations
1. Indexes
1.1. Normalized Difference Vegetation Index (NDVI)
1.2. Temperature
1.3. Water Index
1.4. Model
2. Biodiversity
3. Propositions to improve the model
ConclusionNuméro de notice : 19125 Affiliation des auteurs : IGN (1940-2011) Thématique : BIODIVERSITE/IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Geo-Informatics and Space Technology Development Agency (Thailande) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=51064 Réservation
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