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Analysis of simultaneous chlorophyll measurements by lidar fluorosensor, MODIS and SeaWiFS / R. Bardini in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)
[article]
Titre : Analysis of simultaneous chlorophyll measurements by lidar fluorosensor, MODIS and SeaWiFS Type de document : Article/Communication Auteurs : R. Bardini, Auteur ; F. Colao, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2095 - 2110 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] chlorophylle
[Termes IGN] données lidar
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Seawifs
[Termes IGN] océan
[Termes IGN] performanceRésumé : (Auteur) The ENEA (Italian Agency for New Technologies, Energy and the Environment) lidar fluorosensor (ELF), aboard the research vessel Italica, measured continuously surface chlorophyll-a concentrations during the Italy-New Zealand and New Zealand-Italy transects (13 November-18 December 2001 and 28 February-1 April 2002, respectively). The ELF measurements were compared with the data collected by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectroradiometer (MODIS). This study pointed out advantages, disadvantages and possible synergies of lidar fluorosensor and spaceborne radiometers. In particular, the SeaWiFS and MODIS bio-optical algorithms have been calibrated with the ELF measurements. The differences between the performances of the two spaceborne radiometers are also briefly discussed. Numéro de notice : A2004-228 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618086 En ligne : https://doi.org/10.1080/01431160310001618086 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26755
in International Journal of Remote Sensing IJRS > vol 25 n° 11 (June 2004) . - pp 2095 - 2110[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Scaling net primary production to a MODIS footprint in support of Earth observing system product validation / D. Turner in International Journal of Remote Sensing IJRS, vol 25 n° 10 (May 2004)
[article]
Titre : Scaling net primary production to a MODIS footprint in support of Earth observing system product validation Type de document : Article/Communication Auteurs : D. Turner, Auteur ; S. Ollinger, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1961 - 1979 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] erreur de classification
[Termes IGN] erreur de mesure
[Termes IGN] hétérogénéité
[Termes IGN] image Terra-MODIS
[Termes IGN] incertitude géométrique
[Termes IGN] mise à l'échelleRésumé : (Auteur) Release of an annual global terrestrial net primary production (NPP) data layer has begun in association with the Moderate Imaging Spectroradiometer (MODIS) sensor, a component of the NASA Earth Observing System. The task of validating this product will be complicated by the mismatch in scale between groundbased NPP measurements and the coarse resolution (1 km) of the NPP product. In this paper we describe three relevant approaches to scaling NPP from the plot level to the approximately 25km2 footprint of the sensor, and discuss issues associated with operational comparisons to the MODIS NPP product. All approaches revealed considerable spatial heterogeneity in NPP at scales less than the resolution of the MODIS NPP product. The effort to characterize uncertainty in the validation data layers indicated the importance of treating the combination of classification error, sampling error, and measurement error. Generally, the optimal procedure for scaling NPP to a MODIS footprint will depend on local vegetation type, the scale of spatial heterogeneity, and available resources. In all approaches, high resolution remote sensing can play a critical role in characterizing land cover and relevant biophysical variables. Numéro de notice : A2004-145 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150013 En ligne : https://doi.org/10.1080/0143116031000150013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26672
in International Journal of Remote Sensing IJRS > vol 25 n° 10 (May 2004) . - pp 1961 - 1979[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Evaluation of the MODIS LAI at coniferous forest site in Finland / Y. Wang in Remote sensing of environment, vol 91 n° 1 (15/05/2004)
[article]
Titre : Evaluation of the MODIS LAI at coniferous forest site in Finland Type de document : Article/Communication Auteurs : Y. Wang, Auteur ; Curtis E. Woodcock, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 114 - 127 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] bande infrarouge
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] indice foliaire
[Termes IGN] Leaf Area Index
[Termes IGN] Pinophyta
[Termes IGN] segmentation d'imageRésumé : (Auteur) Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14-21, 2000, WA a, used to validate Moderate Resolution Imaging Spectroradionieter (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of empirical approaches indicates that preliminary segmentation of the image followed by empirical modeling with the resulting patches, was an effective approach to developing an LAI validation surface. Comparison of the aggregated high-resolution LAI map and corresponding MODIS LAI retrievals suggests satisfactory behavior of the MODIS LAI algorithm although variation in MODIS LAI product is higher than expected. The MODIS algorithm, adjusted to high resolution, generally overestimates the LAI due to the influence of the understory vegetation. This indicates the need for improvements in the algorithm. An improved correlation between field measurements and the reduced simple ratio (RSR) suggests that the shortwave infrared (SWIR) band may provide valuable information for needle-leaf forests. Numéro de notice : A2004-238 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.007 En ligne : https://doi.org/10.1016/j.rse.2004.02.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26765
in Remote sensing of environment > vol 91 n° 1 (15/05/2004) . - pp 114 - 127[article]Land cover characterization of temperate east Asia using multi-temporal vegetation sensor data / S.H. Boles in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
[article]
Titre : Land cover characterization of temperate east Asia using multi-temporal vegetation sensor data Type de document : Article/Communication Auteurs : S.H. Boles, Auteur ; X. Xiao-Ping, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 477 - 489 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Asie orientale
[Termes IGN] base de données d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] Enhanced vegetation index
[Termes IGN] image Aqua-MODIS
[Termes IGN] image multitemporelle
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] occupation du sol
[Termes IGN] photo-identification
[Termes IGN] zone tempéréeRésumé : (Auteur) Temperate East Asia (TEA) is characterized by diverse land cover types, including forest and agricultural lands, one of the world's largest temperate grasslands, and extensive desert and barren landscapes. In this paper, we explored the potential of SPOT-4 VEGETATION (VGT) data for the classification of land cover types in TEA. An unsupervised classification was performed using multi-temporal (March November 2000) VGT-derived spectral indices (Land Surface Water Index [LSWI] and Enhanced Vegetation Index [EVI]) to generate a land cover map of TEA (called VGT-TEA). Land cover classes from VGT-TEA were aggregated to broad, general class types, and then compared and validated with classifications derived from fine-resolution (Landsat) data. VGT-TEA produced reasonable results when compared to the Landsat products. Analysis of the seasonal dynamics of LSWI and EVI allows for the identification of distinct growth patterns between different vegetation types. We suggest that LSWI seasonal curves can be used to define the growing season for temperate deciduous vegetation, including grassland types. Seasonal curves of EVI tend to have a slightly greater dynamic range than LSWI during the peak growing season and can be useful in discriminating between vegetation types. By using these two complementary spectral indices, VGT data can be used to produce timely and detailed land cover and phenology maps with limited ancillary data needed. Numéro de notice : A2004-191 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.01.016 En ligne : https://doi.org/10.1016/j.rse.2004.01.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26718
in Remote sensing of environment > vol 90 n° 4 (30/04/2004) . - pp 477 - 489[article]Global fire monitoring: use of MODIS near-real-time satellite data / D.J. Davies in GIM international, vol 18 n° 4 (April 2004)
[article]
Titre : Global fire monitoring: use of MODIS near-real-time satellite data Type de document : Article/Communication Auteurs : D.J. Davies, Auteur ; Satish Kumar, Auteur ; J. Descloitres, Auteur Année de publication : 2004 Article en page(s) : pp 41 - 43 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] changement climatique
[Termes IGN] gaz
[Termes IGN] image Terra-MODIS
[Termes IGN] incendie
[Termes IGN] risque naturel
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) Global fire detection, derived from MODIS data, is available on the Internet approximately 4-6 hours after satellite overpass through a partnership between the NASA Goddard Space Flight Centre and the University of Maryland. This active fire data is provided as overlays on MODIS true colour imagery and through a series of searchable, interactive web-mapping sites. This article provides a description of MODIS Rapid Response and Web Fire Mapper, the key components of this collaborative effort. Numéro de notice : A2004-146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26673
in GIM international > vol 18 n° 4 (April 2004) . - pp 41 - 43[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-04041 RAB Revue Centre de documentation Revues en salle Disponible Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors / F. Jacob in Remote sensing of environment, vol 90 n° 2 (30/03/2004)PermalinkTopographic information of sand dunes as extracted from shading effects using Landsat images / N. Levin in Remote sensing of environment, vol 90 n° 2 (30/03/2004)PermalinkCreation of DTM with ASTER data and statistical verification of the accuracy of the model (western Peloponnese, Greece) / N. Konstantinos in Geocarto international, vol 19 n° 1 (March - May 2004)PermalinkEstimating fractional snow cover from MODIS using the normalized difference snow index / V.V. Salomonson in Remote sensing of environment, vol 89 n° 3 (15/02/2004)PermalinkAn autonomous above-water system for the validation of ocean color radiance data / G. Ziborni in IEEE Transactions on geoscience and remote sensing, vol 42 n° 2 (February 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)PermalinkRemote sensing in transition / Rudi Goossens (2004)PermalinkSnow-cover mapping in forest by constrained linear spectral unimixing of MODIS data / D. Vikhamar in Remote sensing of environment, vol 88 n° 3 (15/12/2003)PermalinkMangrove research and coastal ecosystem studies with SPOT-4 HRVIR and TERRA ASTER in the Arabian Gulf / Hideo Saito in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)Permalink