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Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS / D.A. Fuentes in Remote sensing of environment, vol 103 n° 3 (15 August 2006)
[article]
Titre : Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS Type de document : Article/Communication Auteurs : D.A. Fuentes, Auteur ; John A. Gamon, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 312 - 323 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] circulation atmosphérique
[Termes IGN] dioxyde de carbone
[Termes IGN] données de terrain
[Termes IGN] écosystème
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] réflectance spectrale
[Termes IGN] sécheresse
[Termes IGN] vapeur d'eauRésumé : (Auteur) Using simple models derived from spectral reflectance, we mapped the patterns of ecosystem CO2 and water fluxes in a semi-arid site in southern California during a period of extreme disturbance, marked by drought and fire. Employing a combination of low (not, vert, similar 2 km) and high (not, vert, similar 16 km) altitude images from the hyperspectral Airborne Visible Infrared Imaging Spectrometer (AVIRIS), acquired between April 2002 and September 2003, and ground data collected from an automated tram system, several vegetation indices were calculated for Sky Oaks field station, a FLUXNET and SpecNet site located in northern San Diego County (CA, USA). Based on the relationships observed between the fluxes measured by the eddy covariance tower and the vegetation indices, net CO2 and water vapor flux maps were derived for the region around the flux tower. Despite differences in the scale of the images (from not, vert, similar 2 m to 16 m pixel size) as well as marked differences in environmental conditions (drought in 2002, recovery in early 2003, and fire in mid 2003), net CO2 and water flux modeled from AVIRIS-derived reflectance indices (NDVI, PRI and WBI) effectively tracked changes in tower fluxes across both drought and fire, and readily revealed spatial variation in fluxes within this landscape. After an initial period of net carbon uptake, drought and fire caused the ecosystem to lose carbon to the atmosphere during most of the study period. Our study shows the power of integrating optical and flux data in LUE models to better understand factors driving surface-atmosphere carbon and water vapor flux cycles, one of the main goals of SpecNet. Numéro de notice : A2006-333 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.10.028 En ligne : https://doi.org/10.1016/j.rse.2005.10.028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28057
in Remote sensing of environment > vol 103 n° 3 (15 August 2006) . - pp 312 - 323[article]Spectral Network (SpecNet): what is it and why do we need it? / John A. Gamon in Remote sensing of environment, vol 103 n° 3 (15 August 2006)
[article]
Titre : Spectral Network (SpecNet): what is it and why do we need it? Type de document : Article/Communication Auteurs : John A. Gamon, Auteur ; A.F. Rahman, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 227 - 235 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] atmosphère terrestre
[Termes IGN] circulation atmosphérique
[Termes IGN] image optiqueRésumé : (Auteur) Effective integration of optical remote sensing with flux measurements across multiple scales is essential for understanding global patterns of surface-atmosphere fluxes of carbon and water vapor. SpecNet (Spectral Network) is an international network of cooperating investigators and sites linking optical measurements with flux sampling for the purpose of improving our understanding of the controls on these fluxes. An additional goal is to characterize disturbance impacts on surface-atmosphere fluxes. To reach these goals, key SpecNet objectives include the exploration of scaling issues, development of novel sampling tools, standardization and intercomparison of sampling methods, development of models and statistical methods that relate optical sampling to fluxes, exploration of component fluxes, validation of satellite products, and development of an informatics approach that integrates disparate data sources across scales. Examples of these themes are summarized in this review. Copyright Elsevier Numéro de notice : A2006-330 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.003 En ligne : https://doi.org/10.1016/j.rse.2006.04.003 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28054
in Remote sensing of environment > vol 103 n° 3 (15 August 2006) . - pp 227 - 235[article]Efficient regionalization techniques for socio-economic geographical units using minimum spanning trees / Renato Martins Assuncao in International journal of geographical information science IJGIS, vol 20 n° 7 (august 2006)
[article]
Titre : Efficient regionalization techniques for socio-economic geographical units using minimum spanning trees Type de document : Article/Communication Auteurs : Renato Martins Assuncao, Auteur ; M.C. Neves, Auteur ; G. Camara, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 797 - 811 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] algorithme STA
[Termes IGN] arbre (mathématique)
[Termes IGN] données socio-économiques
[Termes IGN] graphe
[Termes IGN] objet géographique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] régionalisation (segmentation)Résumé : (Auteur) Regionalization is a classification procedure applied to spatial objects with an areal representation, which groups them into homogeneous contiguous regions. This paper presents an efficient method for regionalization. The first step creates a connectivity graph that captures the neighbourhood relationship between the spatial objects. The cost of each edge in the graph is inversely proportional to the similarity between the regions it joins. We summarize the neighbourhood structure by a minimum spanning tree (MST), which is a connected tree with no circuits. We partition the MST by successive removal of edges that link dissimilar regions. The result is the division of the spatial objects into connected regions that have maximum internal homogeneity. Since the MST partitioning problem is NP-hard, we propose a heuristic to speed up the tree partitioning significantly. Our results show that our proposed method combines performance and quality, and it is a good alternative to other regionalization methods found in the literature. Copyright Taylor & Francis. Numéro de notice : A2006-295 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810600665111 En ligne : https://doi.org/10.1080/13658810600665111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28022
in International journal of geographical information science IJGIS > vol 20 n° 7 (august 2006) . - pp 797 - 811[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06071 RAB Revue Centre de documentation En réserve L003 Disponible 079-06072 RAB Revue Centre de documentation En réserve L003 Disponible Inter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures / B. Jena in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
[article]
Titre : Inter-comparison of NOAA-AVHRR and IRS-P4 (MSMR) derived sea surface temperatures Type de document : Article/Communication Auteurs : B. Jena, Auteur ; S.K. Sasmal, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3123 - 3130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] image IRS-MSMR
[Termes IGN] image NOAA-AVHRR
[Termes IGN] nébulosité
[Termes IGN] Persique, golfe
[Termes IGN] radiomètre à hyperfréquence
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] température de surface de la merRésumé : (Auteur) Due to the limitations of infrared remote sensing, sea surface temperature (SST) can be derived only under clear sky conditions from the infrared channels like those in National Oceanic and Atmospheric Administration (NOAA) advanced very high resolution radiometer (AVHRR), where as microwave radiometers can provide SST even under cloudy conditions. However, the accuracy of SST derived from the microwave sensor is less with a poor spatial resolution. In this study, SSTs over the Arabian Sea derived from NOAA-AVHRR and Indian Remote Sensing Satellite (IRS-P4) multi-frequency scanning microwave radiometer (MSMR) observations have been compared on weekly basis with a view to blend these two observations, so that SST can be provided continuously even under cloudy conditions. The NOAA-AVHRR derived pathfinder SSTs with spatial resolution of 18 km were averaged to 1.5°*1.5° grid resolutions to match with MSMR observations. The analysis was carried out during 2000. Statistical analysis of the NOAA-AVHRR SST shows that the spatial variation of SST within 1.5° grid is negligible compared with the MSMR accuracy of 1.52°C. Thus the comparison of SST from these two sources with different spatial resolution is reasonable. The RMS difference is 1.55°C with a correlation coefficient of 0.73. After removing the seasonal bias, the RMS difference reduced to 0.66°C and the coefficient of correlation improved to 0.89. The correlation coefficient between the two observations has further improved to 0.90 and the RMS difference reduced to 0.53°C when the averaging was done using 5°*5° grid resolution. The accuracy of satellite derived SSTs are also evaluated with the moored buoy observations over the Arabian Sea. The accuracy of MSMR SST observations have improved if 95% confidence level data is considered. The results indicate the possibility of replacing the data gaps in AVHRR SSTs with MSMR estimations after adjusting for the seasonal biases. Copyright Taylor & Francis Numéro de notice : A2006-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600580608 En ligne : https://doi.org/10.1080/01431160600580608 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28059
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3123 - 3130[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible A patch-based image classification by integrating hyperspectral data with GIS / B. Zhang in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
[article]
Titre : A patch-based image classification by integrating hyperspectral data with GIS Type de document : Article/Communication Auteurs : B. Zhang, Auteur ; Xiuping Jia, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3337 - 3346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] classification pixellaire
[Termes IGN] image hyperspectrale
[Termes IGN] image PHI
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Hyperspectral remote sensing data provide detailed spectral information and are widely used for pixel-based image classification. However, without considering spatial correlation among neighbouring pixels, a generated thematic map may have a ‘salt-and-pepper’ appearance. With the development of the Geographic Information System (GIS), the spatial relationship between a pixel and its neighbours can be recorded readily and used together with remote sensing data. The objective of this study was to integrate hyperspectral data with the GIS for effective thematic mapping. To date, GIS data have been used mainly in field surveys or training field selection for remote sensing data interpretation. Here we propose a patch-classification based on integration of the GIS with remote sensing data. The classification results obtained by using this method can be easily saved in a vector format as used for GIS files. Computational cost is decreased compared with a pixel-by-pixel classification. The issue of how to identify pure or mixed patches is addressed and a three-level simple and effective checking method is developed. A case study is presented with a hyperspectral data set recorded by the Pushbroom Hyperspectral Imager (PHI) and related GIS data. Numéro de notice : A2006-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500409577 En ligne : https://doi.org/10.1080/01431160500409577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28061
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3337 - 3346[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible Temporal influences on Landsat-5 thematic image in visible band / Y. Liu in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)PermalinkThe MetOp satellite: weather information from polar orbit / P.G. Edwards in ESA bulletin, n° 127 (August 2006)PermalinkMODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA / R.H. Waring in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkSoil moisture mapping and AMSR-E validation using the PSR in SMEX02 / R. Bindlish in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkStudy of tectonics in relation to the seismic activity of the Davalt area, Nasik district, Maharashtra, India using remote sensing and GIS techniques / J. Sarup in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkA technique for generating natural colour images from false colour composite images / S.K. Patra in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkAbsolute position estimation using IRS satellite images / Y.S. Oh in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 4 (June - July 2006)PermalinkAssessment and comparison of registration algorithms between aerial images and laser point clouds / A. Pothou in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkCalibration of the optech ALTM-3100 laser scanner intensity data using brightness targets / E. Ahokas in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkClassification of fully polarimetric SAR data for land use cartography / Cédric Lardeux in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)Permalink