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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)
[article]
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)
[article]
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]Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data / M.A. Diuk-Wasser in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
[article]
Titre : Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data Type de document : Article/Communication Auteurs : M.A. Diuk-Wasser, Auteur ; M. Bagayoko, Auteur ; N. Sogoba, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 359 - 376 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] carte agricole
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image Landsat-ETM+
[Termes IGN] maladie tropicale
[Termes IGN] Mali
[Termes IGN] rizièreRésumé : (Auteur) The aim of this study was to determine whether remotely sensed data could be used to identify rice-related malaria vector breeding habitats in an irrigated rice growing area near Niono, Mali. Early stages of rice growth show peak larval production, but Landsat sensor data are often obstructed by clouds during the early part of the cropping cycle (rainy season). In this study, we examined whether a classification based on two Landsat Enhanced Thematic Mapper (ETM)+ scenes acquired in the middle of the season and at harvesting times could be used to map different land uses and rice planted at different times (cohorts), and to infer which rice growth stages were present earlier in the season. We performed a maximum likelihood supervised classification and evaluated the robustness of the classifications with the transformed divergence separability index, the kappa coefficient and confusion matrices. Rice was distinguished from other land uses with 98% accuracy and rice cohorts were discriminated with 84% accuracy (three classes) or 94% (two classes). Our study showed that optical remote sensing can reliably identify potential malaria mosquito breeding habitats from space. In the future, these 'crop landscape maps' could be used to investigate the relationship between cultivation practices and malaria transmission. Numéro de notice : A2004-055 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001598944 En ligne : https://doi.org/10.1080/01431160310001598944 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26583
in International Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 359 - 376[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04021 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Within-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)
[article]
Titre : Within-field wheat yield prediction from Ikonos data: a new matrix approach Type de document : Article/Communication Auteurs : E.A. Enclona, Auteur ; Prasad S. Thenkabail, Auteur ; D. Celis, Auteur ; J. Diekmann, Auteur Année de publication : 2004 Article en page(s) : pp 377 - 388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture de précision
[Termes IGN] blé (céréale)
[Termes IGN] carte agricole
[Termes IGN] image Ikonos
[Termes IGN] pixel
[Termes IGN] rendement agricoleRésumé : (Auteur) This study demonstrates a unique matrix approach to determine within-field variability in wheat yields using fine spatial resolution 4 m IKONOS data. The matrix approach involves solving a system of simultaneous equations based on IKONOS data and post-harvest yields available at entire field scale. This approach was compared with a regression-based modelling approach involving field-sensor measured yields and the corresponding IKONOS measured indices and wavebands. The IKONOS data explained 74-78% variability in wheat yield. This is a significant result since the finer spatial resolution leads to capturing greater spatial variability and detail in landscape relative to coarser spatial resolution data. A pixel-by-pixel mapping of wheat yield variability highlights the fine spatial detail provided by IKONOS data for precision farming applications. Numéro de notice : A2004-056 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000102485 En ligne : https://doi.org/10.1080/0143116031000102485 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26584
in International Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 377 - 388[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04021 RAB Revue Centre de documentation En réserve L003 Exclu du prêt The 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)
[article]
Titre : The EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces Type de document : Article/Communication Auteurs : K. Saleh, Auteur ; Jean-Pierre Wigneron, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 177 - 194 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] bande L
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] France (administrative)
[Termes IGN] humidité du sol
[Termes IGN] luminance lumineuse
[Termes IGN] masse végétale
[Termes IGN] Pinophyta
[Termes IGN] polarisation
[Termes IGN] réalité de terrain
[Termes IGN] Soil Moisture and Ocean Salinity Mission
[Termes IGN] température de luminance
[Termes IGN] température de surface
[Termes IGN] Valence (Espagne)
[Termes IGN] verger
[Termes IGN] viticultureRésumé : (Auteur) A number of experiments using ground-based and airborne sensors have shown the high potential of L-band passive microwave radiometry for estimating and monitoring surface soil moisture. This has led to the Soil Moisture and Ocean Salinity (SMOS) mission, a European Space Agency (ESA) Earth Explorer Opportunity mission. SMOS has the objective to observe soil moisture over land and sea surface salinity over sea, both key parameters for atmospheric, oceanographic and hydrological predictive models. In preparation of SMOS, the EuroSTARRS airborne campaign was carried out in November 2001. Multi-angular measurements of the surface brightness temperature at L-band (1.4GHz) at vertical polarization were acquired by the 'Salinity Temperature and Roughness Remote Scanner' (STARRS) radiometer from the Naval Research Laboratory (NRL, USA) over several sites in Southern France, the Pyrenees and Eastern Spain. The chosen sites represent specific land conditions and vegetation canopies where microwave surface emission models need further investigation, and include: dense forests, shrubs and scrubland, mixed areas of different vegetation covers and areas with variable topography. This paper gives an overview of the experiment, including a discussion of the objectives, description of the sites, details of the microwave measurements and some first results of the campaign. First, a principal component analysis of the forest brightness temperature measured at different configurations illustrates the sensitivity of brightness temperature to biomass conditions for coniferous trees. Then, the microwave signature of the vegetation covers considered in this study-coniferous forest at Les Landes (France), mixed deciduous/coniferous stands at the Agre forest (France), shrubland, vineyards and orchards at the Valencia site (Spain) - is illustrated, in particular as regards to the dependance of the L-band emissivity to biomass conditions. Numéro de notice : A2004-037 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000116444 En ligne : https://doi.org/10.1080/0143116031000116444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26565
in International Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 177 - 194[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04011 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated subpixel photobathymetry and water quality mapping / R.L. Huguenin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)PermalinkCaractérisation par télédétection des paysages favorables aux culicoides vecteurs de la fièvre catarrhale ovine dans le bassin méditerranéen / H. Guis (2004)PermalinkCartographie des rizières d'une zone des hautes terres centrales de Madagascar pour la détermination des zones à risque du paludisme / F. Thomas (2004)PermalinkConception et réalisation d'un module de cartographie des risques naturels sur ArcView GIS / C. Coquin (2004)PermalinkCouplage d'un logiciel d'aide à la gestion des pollutions diffuses par les phytosanitaires d'origine agricole (AGPA) avec un SIG / S. Meaux (2004)PermalinkDéveloppement d'une aide de mise en forme cartographique pour images satellites dans le cadre du projet METIS Forêts / A. Caen (2004)PermalinkDéveloppement d'une méthode de cartographie de l'occupation du sol le long des cours d'eau à partir de données de télédétection / M. Perez Correa (2004)PermalinkElaboration du fond cartographique départemental des Pyrénées-Atlantiques, Volume 1. Mémoire / Guillaume Touya (2004)PermalinkElaboration du fond cartographique départemental des Pyrénées-Atlantiques, Volume 2. Annexes / Guillaume Touya (2004)PermalinkElaboration d'un nouveau localisant graphique et création de cartes thématiques pour la ville de Besançon / B. Kiene (2004)Permalink