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Precision farming today: role of high-resolution satellite sensors / G. Metternicht in GIM international, vol 18 n° 2 (February 2004)
[article]
Titre : Precision farming today: role of high-resolution satellite sensors Type de document : Article/Communication Auteurs : G. Metternicht, Auteur Année de publication : 2004 Article en page(s) : pp 40 - 43 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] agriculture de précision
[Termes IGN] analyse comparative
[Termes IGN] capteur imageur
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image ORBVIEW
[Termes IGN] image Quickbird
[Termes IGN] production agricoleRésumé : (Auteur) Precision farming is concerned with site-specific treatment of agricultural land. This approach is necessitated by crop production variability resulting from variability in soil and humidity conditions. Today site-specific treatment is enable by modern geo-information technology - GPS, GIS and remote sensing - and communication technology. Resulting action may include differentiation in ploughing depth and seed density, and the application of fertilisers at higher rates on areas of lower production. The first two of these may be based on information valid over a longer time-span. The latter - variable rate application - requires monitoring of crop conditions during the growing season. How can remotly sensed imagery support monitoring ? The author discusses the potential role of high-resolution satellite sensors - Ikonos, Quickbird and comming Orbview - in precision farming. Numéro de notice : A2004-016 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26544
in GIM international > vol 18 n° 2 (February 2004) . - pp 40 - 43[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 061-04021 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)
[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]Systematic corrections of AVHRR image composites for temporal studies / J. Cihlar in Remote sensing of environment, vol 89 n° 2 (30/01/2004)
[article]
Titre : Systematic corrections of AVHRR image composites for temporal studies Type de document : Article/Communication Auteurs : J. Cihlar, Auteur ; R. Latifovic, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 217 - 233 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] correction d'image
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] image en couleur composée
[Termes IGN] image Landsat-TM
[Termes IGN] image NOAA-AVHRR
[Termes IGN] réflectance végétaleRésumé : (Auteur) For quantitative studies of vegetation dynamics, satellite data need to be corrected for spurious effects. In this study, we have applied several changes to an earlier advanced very high resolution radiometer (AVHRR) processing methodology (ABC3; [Remote Sens. Environ. 60 (1997) 35; J. Geophys. Res.Atmos, 102 (1997) 29625; Can. J. Remote Sens. 23 (1997) 163]), to better represent the various physical processes causing contamination of the AVHRR measurements. These included published recent estimates of the NOAA-11 and NOAA-14 AVHRR calibration trajectories for channels 1 and 2; the best available estimates for the water vapour, aerosol and ozone amounts at the time of AVHRR data acquisition; an improved bidirectional reflectance algorithm that also takes into consideration surface topography; and an improved image screening algorithm for contaminated pixels. Unlike the previous study that compared the composite images to a single-date AVHRR image, we employed coincident TM images to approximate the AVHRR pixel field of view during the data acquisition. Compared to ABC3, the modified procedure ABOV2 was found to improve the accuracy of AVHRR pixel reflectance estimates, both in the sensitivity (slope) of the regression and in r2. The improvements were especially significant in AVHRR channel 1. In comparison with reference values derived from two full TM scenes, the corrected AVHRR surface reflectance estimates had average standard errors values of + 0.009 for AVHRR C1, + 0.019 for C2, and + 0.04 for NDVI; the corresponding r2 values were 0.55, 0.80, and 0.50, respectively. The changes in ABC3V2 were not able to completely remove interannual variability for land cover types with little or no vegetation cover, which would be expected to remain stable over time, and they increased the interannual variability of mixed forest and grassland. These results are attributed to a combination of increased sensitivity to interannual dynamics on one hand, and the inability to remove all sources of noise for barren or sparsely vegetated northern land cover types on the other. Numéro de notice : A2004-025 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2002.06.007 En ligne : https://doi.org/10.1016/j.rse.2002.06.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26553
in Remote sensing of environment > vol 89 n° 2 (30/01/2004) . - pp 217 - 233[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)
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Titre : Evaluation of remote sensing-based active fire datasets in Indonesia Type de document : Article/Communication Auteurs : F. Stolle, Auteur ; R.A. Dennis, Auteur ; I. Kurniwan, Auteur ; Eric F. Lambin, Auteur Année de publication : 2004 Article en page(s) : pp 471 - 479 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Along Track Scanning Radiometer
[Termes IGN] analyse comparative
[Termes IGN] détection
[Termes IGN] image DMSP-OLS
[Termes IGN] image NOAA-AVHRR
[Termes IGN] incendie
[Termes IGN] Indonésie
[Termes IGN] jeu de données localisées
[Termes IGN] Moderate Resolution Imaging Spectroradiometer
[Termes IGN] TRMMRésumé : (Auteur) Eight different fire datasets for Indonesia were compared with each other and to fine spatial resolution burnscar maps. Results show that each dataset detects different fires. More than two-thirds of the fires detected by one dataset are not detected by any other dataset. None of the datasets detect fires in all test areas. Fire regime, satellite sensor characteristics and fire detection algorithms all influence which fires are detected. Fire datasets were not complementing each other as they all had commission as well as omission errors. Numéro de notice : A2004-059 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618022 En ligne : https://doi.org/10.1080/01431160310001618022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26587
in International Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 471 - 479[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 Comparison of aerial images, satellites images and laser scanning DSM in a 3D city models production framework / Grégoire Maillet (2004)PermalinkDetection of systematic error areas on a DTM by comparison with a high resolution LIDAR DTM / Frédéric Rousseaux (2004)PermalinkEtude de la généralisation et de la représentation multiple : Application à des bases de données IGN, Vol. 1. Mémoire / Julien Fabing (2004)Permalink[Étude pour une] maquette 3D pour la ville de Chambéry / M. Autissier (2004)PermalinkEvaluation du module MapScript de MapServer pour la mise en place d'un outil de recherches d'informations georéférencées en ligne / S.H. Razafindrakoto (2004)PermalinkInventory of roadside infrastructure assets: new approaches in 3-d mobile mapping and videography / C. Laflamme in Geoinformatics, vol 7 n° 1 (01/01/2004)PermalinkPermalinkLeistungskriterien zur Qualitätskontrolle von Robottachymetern / B. Krikel (2004)PermalinkLocalisation of error areas on a DTM by overlaying altimetric and vector data / Frédéric Rousseaux (2004)PermalinkPredicting missing field boundaries to increase per-field classification accuracy / Paul Aplin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)Permalink