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Mapping coal fires based on OMIS1 thermal infrared band image / Y. Wan in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)
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[article]
Titre : Mapping coal fires based on OMIS1 thermal infrared band image Type de document : Article/Communication Auteurs : Y. Wan, Auteur ; W. Deng, Auteur ; Y. Yan, Auteur Année de publication : 2004 Article en page(s) : pp 593 - 602 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] image hyperspectrale
[Termes IGN] image thermique
[Termes IGN] incendie
[Termes IGN] réalité de terrain
[Termes IGN] température de surfaceRésumé : (Auteur) OMIS1 (Operative Modular Imaging Spectrometer) is a new imaging spectrometer designed by Shanghai Institute of Technical Physics, and has eight thermal infrared bands (nos. 105112). This paper presents the use of images obtained from these thermal infrared bands to detect and map coal fires in northwestern China. According to experiments in the Rujigou area of Ningxia municipality, each thermal infrared band has high correlation (>0.939). Regression analysis of land surface temperature (LST) with the pixel value in each thermal infrared band indicates: (1) for images acquired at daytime (from 11:00 to 13:00 local time), the first four thermal infrared bands have a linear relationship, and the final four bands have an exponential relationship; (2) for images acquired in the early morning (from 06:00 to 07:30), each band has a linear relationship. In conclusion, the ground temperature map is based on the 107th band of morning time. The mapping error is greatly determined by the quantity and precision of ground data measured synchronously. Numéro de notice : A2004-064 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150112 En ligne : https://doi.org/10.1080/0143116031000150112 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26592
in International Journal of Remote Sensing IJRS > vol 25 n° 3 (February 2004) . - pp 593 - 602[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04031 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Mapping the aerodynamic roughness length of desert surfaces from the POLDER/ADEOS bi-directional reflectance product / Béatrice Marticorena in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)
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Titre : Mapping the aerodynamic roughness length of desert surfaces from the POLDER/ADEOS bi-directional reflectance product Type de document : Article/Communication Auteurs : Béatrice Marticorena, Auteur ; Patrick Chazette, Auteur ; G. Bergametti, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 603 - 626 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte thématique
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] image ADEOS
[Termes IGN] POLarization and Directionality of Earth's Reflectances
[Termes IGN] poussière
[Termes IGN] réflectance de surface
[Termes IGN] rugosité
[Termes IGN] Sahara, désert du
[Termes IGN] zone arideRésumé : (Auteur) Surface roughness is a key parameter for computing the emissions and for simulating the atmospheric cycle of mineral dust. However its assessment on the basis of field measurements from source areas scattered round the globe requires much effort. Here we investigate the retrieval of the aerodynamic roughness length of and areas using surface bi-directional reflectance products derived from passive multi-directional measurements in the solar spectrum of the POlarization and Directionality of the Earth's Reflectances (POLDER) sensor. The so-called protrusion coefficient (PC) of the surface derived from the POLDER bidirectional reflectance distribution function (BRDF) is well suited to estimate surface roughness. From an appropriate selection of POLDER data, a composite PC dataset has been established over the Sahara and the Arabian Peninsula. We have investigated the relationship between aerodynamic roughness length and PC, and have derived a statistically significant empirical relationship between these two parameters. This relationship is applied to the POLDER-derived PC to map the aerodynamic roughness length of and areas in northern Africa and the Arabian Peninsula at the spatial resolution of POLDER (- 1/16). When degrading these data for global models, we show that the information is essentially preserved at coarser resolutions up to . This map of roughness length derived from the POLDER instrument, and a corresponding map derived from a geomorphologic classification, have been tested by comparing the predicted dust event frequencies obtained using them to dust indices (IDDI) derived from Meteosat IR observations over the Sahara desert. The agreement using the POLDER derived roughness length is at least as good as using the map of roughness length derived from the geomorphologic approach. Our results show promising new prospects for regional and global scale simulations of mineral dust emissions from and regions. Numéro de notice : A2004-065 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000116976 En ligne : https://doi.org/10.1080/0143116031000116976 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26593
in International Journal of Remote Sensing IJRS > vol 25 n° 3 (February 2004) . - pp 603 - 626[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04031 RAB Revue Centre de documentation En réserve L003 Exclu du prêt
[article]
Titre : Stopping the slaughter Type de document : Article/Communication Auteurs : M.J. Wagner, Auteur Année de publication : 2004 Article en page(s) : pp 42 - 45 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cindynique
[Termes IGN] ENVISAT
[Termes IGN] hydrocarbure
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] pollution des mersRésumé : (Editeur) In the first of a three-part series, Mary Jo Wagner discovers how radar satellites are helping national maritime authorities fight the elusive crime of oil pollution Numéro de notice : A2004-028 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26556
in GEO:connexion > vol 3 n° 2 (february 2004) . - pp 42 - 45[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 062-04021 RAB Revue Centre de documentation En réserve L003 Disponible Approaches to fractional land cover and continuous field mapping: a comparative assessment over the BOREAS [BOReal Ecosystem Atmosphere Study] study region / R. Fernandes in Remote sensing of environment, vol 89 n° 2 (30/01/2004)
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Titre : Approaches to fractional land cover and continuous field mapping: a comparative assessment over the BOREAS [BOReal Ecosystem Atmosphere Study] study region Type de document : Article/Communication Auteurs : R. Fernandes, Auteur ; R. Fraser, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 234 - 251 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification par réseau neuronal
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT-Végétation
[Termes IGN] inversion
[Termes IGN] méthode des moindres carrés
[Termes IGN] précision infrapixellaire
[Termes IGN] régression multiple
[Termes IGN] tâche image d'un point
[Termes IGN] zone boréaleRésumé : (Auteur) Subpixel land cover mapping involves the estimation of surface properties using sensors whose spatial sampling is coarse enough to produce mixtures of the properties within each pixel. This study evaluates five algorithms for mapping subpixel land cover fractions and continuous fields of vegetation properties within the BOREAS study area. The algorithms include a conventional "hard", perpixel classifier, a neural network, a clustering/look-up-table approach, multivariate regression, and linear least squares inversion. A land cover map prepared using a Landsat TM mosaic was adopted as the source of fine scale calibration and validation data. Coarse scale mixtures of five basic land cover classes and continuous vegetation fields, both corresponding to the field of view of SPOT-VEGETATION imagery (1.15-km pixel size), were synthesised from the TM mosaic using a modelled point spread function. Two measures of land cover distribution were used. fractions of fine scale land cover categories and continuous fields of vegetation structural characteristics. The subpixel algorithms were applied using both proximate ( 400 km) separation between training and validation regions. "Hard" classification performed poorly in estimating proportions or continuous fields. The neural network, look-up-table and multivariate regression algorithms produced good matches of spatial patterns and regional land cover composition for the proximate treatment. However, all three methods exhibited substantial biases with the distant treatment due to the characteristics of the training data. Linear least squares inversion offers a relatively unbiased but less precise alternative for subpixel proportion and fraction mapping as it avoids calibration to the a priori distribution of land cover in the training data. In general, a combination of multivariate regression for proximate training data and linear least squares inversion for distant training data resulted in woody fraction estimates within 20% of the Landsat TM classification-based estimates. Numéro de notice : A2004-026 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2002.06.006 En ligne : https://doi.org/10.1016/j.rse.2002.06.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26554
in Remote sensing of environment > vol 89 n° 2 (30/01/2004) . - pp 234 - 251[article]Remote sensing in BOREAS [BOReal Ecosystem Atmosphere Study]: Lessons learned / John A. Gamon in Remote sensing of environment, vol 89 n° 2 (30/01/2004)
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Titre : Remote sensing in BOREAS [BOReal Ecosystem Atmosphere Study]: Lessons learned Type de document : Article/Communication Auteurs : John A. Gamon, Auteur ; K.F. Huemmrich, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 139 - 162 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] bilan du carbone
[Termes IGN] biométrie
[Termes IGN] biosphère
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification
[Termes IGN] climat froid
[Termes IGN] flore locale
[Termes IGN] forêt boréale
[Termes IGN] milieu naturel
[Termes IGN] mode d'occupation du sol
[Termes IGN] zone boréaleRésumé : (Auteur) The Boreal Ecosystem Atmosphere Study (BOREAS) was a large, multiyear internationally supported study designed to improve our understanding of the boreal forest biome and its interactions with the atmosphere, biosphere, and the carbon cycle in the face of global climate change. In the initial phase of this study (early 1990s), remote sensing played a key role by providing products needed for planning and modeling. During and after the main BOREAS field campaigns (1994 and 1996), innovative remote sensing approaches and analyses expanded our understanding of the boreal forest in four key areas: (1) definition of vegetation structure, (2) landcover classification, (3) assessment of the carbon balance, and (4) links between surface properties, weather, and climate. In addition to six BOREAS special issues and over 500 journal papers, a principal legacy of BOREAS is its well-documented and publicly available database, which provides a lasting scientific resource and opportunity to further advance our understanding of this critical northern biome. Numéro de notice : A2004-024 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.08.017 En ligne : https://doi.org/10.1016/j.rse.2003.08.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26552
in Remote sensing of environment > vol 89 n° 2 (30/01/2004) . - pp 139 - 162[article]Evaluation of remote sensing-based active fire datasets in Indonesia / F. Stolle in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
PermalinkEvaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia / T. Ouattara in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
PermalinkWithin-field wheat yield prediction from Ikonos data: a new matrix approach / E.A. Enclona in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
PermalinkImpacts of hydrologic soil properties on drought detection with MODIS thermal data / S. Park in Remote sensing of environment, vol 89 n° 1 (15/01/2004)
PermalinkNarrowband-to-broadband albedo conversion for glacier ice and snow: equations based on modeling and ranges of validity of the equations / W. Greuell in Remote sensing of environment, vol 89 n° 1 (15/01/2004)
PermalinkToward universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements / G. Le Maire in Remote sensing of environment, vol 89 n° 1 (15/01/2004)
PermalinkHyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data / N. Oppelt in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
PermalinkThe EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces / K. Saleh in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
PermalinkAutomated subpixel photobathymetry and water quality mapping / R.L. Huguenin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)
PermalinkAVIRIS measurements of chlorophyll, suspended minerals, dissolved organic carbon, and turbidity in the Neuse River, North Carolina / M.A. Karaska in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)
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