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vol 111 n° 2-3 - 30 November 2007 - Remote sensing of cryosphere (Bulletin de Remote sensing of environment) / Marco Tedesco
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[n° ou bulletin]
Titre : vol 111 n° 2-3 - 30 November 2007 - Remote sensing of cryosphere Type de document : Périodique Auteurs : Marco Tedesco, Éditeur scientifique Année de publication : 2007 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] altimétrie par radar
[Termes IGN] Antarctique
[Termes IGN] Arctique
[Termes IGN] cryosphère
[Termes IGN] glaciologieNuméro de notice : 110-0721 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://www.sciencedirect.com/science/journal/00344257/111/2-3?sdc=2 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=21559 [n° ou bulletin] Contient
- Using remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent / S. Drobot in Remote sensing of environment, vol 111 n° 2-3 (30 November 2007)
- Polar Radar for Ice Sheet Measurements (PRISM) / S. Gogineni in Remote sensing of environment, vol 111 n° 2-3 (30 November 2007)
Using remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent / S. Drobot in Remote sensing of environment, vol 111 n° 2-3 (30 November 2007)
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[article]
Titre : Using remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent Type de document : Article/Communication Auteurs : S. Drobot, Auteur Année de publication : 2007 Article en page(s) : pp 136 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Arctique
[Termes IGN] Canada
[Termes IGN] épaisseur de la glace
[Termes IGN] glace de mer
[Termes IGN] prévision à court terme
[Termes IGN] régression linéaire
[Termes IGN] variation saisonnièreRésumé : (Auteur) This paper discusses the development of simple multiple linear regression (MLR) models for developing seasonal forecasts of the annual minimum sea-ice extent in the Beaufort/Chukchi Seas, the Laptev/East Siberian Seas, the Kara/Barents Seas, and the Canadian Arctic Archipelago regions. The potential predictor data are based on mean monthly weighted indices of sea-ice concentration, multiyear sea-ice concentration, surface skin temperature, surface albedo, and downwelling longwave radiation flux at the surface. Predictions are developed based on data available in March (spring forecast), to coincide with the National American Ice Service's annual outlooks, and based on data available in June (summer forecast), which would provide a seasonal revision. The final regression equations retain one to three predictors, and each of the MLR models is superior to climatology. The r2 for the MLR models range from a low of 0.44 (for the spring forecast in the Canadian Arctic Archipelago) to a high of 0.80 (for the summer forecast in the Beaufort/Chukchi Seas). Copyright Elsevier Numéro de notice : A2007-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.024 En ligne : https://doi.org/10.1016/j.rse.2007.03.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28849
in Remote sensing of environment > vol 111 n° 2-3 (30 November 2007) . - pp 136 - 147[article]Remote sensing research issues of the national land use change program of China / Jixian Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 6 (November-December 2007)
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[article]
Titre : Remote sensing research issues of the national land use change program of China Type de document : Article/Communication Auteurs : Jixian Zhang, Auteur ; Y. Zhang, Auteur Année de publication : 2007 Article en page(s) : pp 461 - 472 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] aménagement du territoire
[Termes IGN] Chine
[Termes IGN] détection de changement
[Termes IGN] développement agricole
[Termes IGN] développement durable
[Termes IGN] gestion de production
[Termes IGN] traitement d'image
[Termes IGN] urbanisation
[Termes IGN] utilisation du solRésumé : (Auteur) In 1999, the Ministry of Land and Resources (MLR) of China launched the National Land Use Change Program especially to monitor the scale and distribution of urban expansion and the decrease in cultivated land through remote sensing technology. This Program has been carried out annually and continuously for seven years since then and played an important role in the policy-making of MLR about land management and planning. This paper gives an overview about this Program and discusses several research issues. First, the remote sensing data sources and other ancillary data used in this Program are presented. The approaches for image preprocessing, i.e. radiometric normalization, image geometric rectification and image fusion are then introduced with an emphasis on the algorithm development for image registration. Second, land use change detection technique is the most critical and complex aspect of the Program. The methodologies for change detection using either bi-temporal image pair or one existing land use map and one remotely sensed image are detailed. Third, since the data of land use changes derived from remote sensing will be operationally used for local and central government, field validation and accuracy assessment are crucial to ensure the reliability of change detection results. The strategy of field work and the resulting accuracy evaluations is presented. The land use and change information derived from remotely sensed data has wide applications for land management, including land use database updating, verification of land use planning and monitoring of national high-tech parks. Last, suggestions on how to make full use of the images and change detection result, to improve the consistency of land use classification and to develop change detection algorithms for diverse and complex remote sensing data are given. Copyright ISPRS Numéro de notice : A2007-530 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.07.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.07.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28893
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 6 (November-December 2007) . - pp 461 - 472[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07081 SL Revue Centre de documentation Revues en salle Disponible
[article]
Titre : Wildfires and remote sensing Type de document : Article/Communication Auteurs : Ioannis Z. Gitas, Auteur ; A. Polychronaki, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 16 - 19 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] Athènes
[Termes IGN] carte de la végétation
[Termes IGN] dommage matériel
[Termes IGN] image satellite
[Termes IGN] impact sur l'environnement
[Termes IGN] incendie de forêt
[Termes IGN] protection de l'environnement
[Termes IGN] risque naturel
[Termes IGN] sylvicultureRésumé : (Auteur) In the beginning of the summer this year, a large fire in the area of the mount Parnitha National Park near Athens in Greece resulted in the loss of approximately 5 000 ha of forest area, shrublands and agricultural land. Considering the extent and the consequences of the damage caused by the large fire, the Aristotle University of Thessaloniki began to collaborate with national authorities to provide all the necessary information to develop forest protection and restoration plans. Copyright GEOinformatics Numéro de notice : A2007-496 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28859
in Geoinformatics > vol 10 n° 7 (01/11/2007) . - pp 16 - 19[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-07071 SL Revue Centre de documentation Revues en salle Disponible Accuracy of forest mapping based on Landsat TM data and a kNN-based method / K. Gjertsen in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
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Titre : Accuracy of forest mapping based on Landsat TM data and a kNN-based method Type de document : Article/Communication Auteurs : K. Gjertsen, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 420 - 430 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte de la végétation
[Termes IGN] classification barycentrique
[Termes IGN] données multisources
[Termes IGN] forêt
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Norvège
[Termes IGN] précision de la classificationRésumé : (Auteur) A multi-source forest inventory (MSFI) method has been developed for use in the Norwegian National Forest Inventory (NFI). The method is based on a k-nearest neighbour rule and uses field plots from the NFI, land cover maps, and satellite image data from Landsat Thematic Mapper. The inventory method is used to produce maps of selected forest variables and to estimate the selected forest variables for large areas such as municipalities. In this study, focus has been on the qualitative variables ‘dominating species group’ and ‘development class’ because these variables are of central interest to forest managers. A mid-summer Landsat 5 TM scene was used as image data, and all NFI plots inside the scene were used as a reference dataset. The relationship between the spectral bands and the forest variables was analysed, and it was found that the levels of association were low. A leave-one-out method based on the reference dataset was used to estimate the pixel-level accuracies. They were found to be relatively low with 63% agreement for species groups. An independent control survey was available for a municipality and estimates from the MSFI were compared to it. The levels of error were quite high. It was concluded that the large area estimates were biased by the reference dataset. Copyright Elsevier Numéro de notice : A2007-410 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.018 En ligne : https://doi.org/10.1016/j.rse.2006.08.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28773
in Remote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 420 - 430[article]vol 110 n° 4 - 30/10/2007 - Forestsat 2007 (Bulletin de Remote sensing of environment) / Ronald E. McRoberts
PermalinkEstimation of regional evapotranspiration by TM/ETM+ data over heterogeneous surfaces / S. Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 10 (October 2007)
PermalinkLandsat ETM+ image applications to extract information for environmental planning in a Colombian city / L.M. Santana in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkRegenerating boreal forest structure estimation using SPOT-5 pan-sharpened imagery / A.L. Wunderle in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkTemporal change in the landscape erosion pattern in the Yellow River basin / W. Siyuan in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
PermalinkCharacterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations / S. Sadro in Remote sensing of environment, vol 110 n° 2 (28/09/2007)
PermalinkCanada-wide maps of dominant tree species from remotely sensed and ground data / G. Pavlic in Geocarto international, vol 22 n° 3 (September - November 2007)
PermalinkThe effectiveness of richness, diversity and dominance textural indices when applied on digital ground photographs using a GIS for landscape visual analysis purposes / A. Tsouchlaraki in Geocarto international, vol 22 n° 3 (September - November 2007)
PermalinkMonitoring herbaceaous fuel moisture content with Spot-Vegetation times-series for fire risk prediction in savanna ecosystems / Jan Verbesselt in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
PermalinkUse of TRMM in determining the climatic characteristics of rainfall over Bangladesh / M.N. Islam in Remote sensing of environment, vol 108 n° 3 (15/06/2007)
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