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Use of high-resolution satellite imagery for investigating acid mine drainage from artisanal coal mining in North-Eastern India / B. Blahwar in Geocarto international, vol 27 n° 3 (June 2012)
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Titre : Use of high-resolution satellite imagery for investigating acid mine drainage from artisanal coal mining in North-Eastern India Type de document : Article/Communication Auteurs : B. Blahwar, Auteur ; S. Srivastav, Auteur ; J. Smeth, Auteur Année de publication : 2012 Article en page(s) : pp 231 - 247 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] fer
[Termes IGN] image à très haute résolution
[Termes IGN] image Cartosat-1
[Termes IGN] image IRS-LISS
[Termes IGN] image IRS-P6
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] Inde
[Termes IGN] mine de charbon
[Termes IGN] pollution des eaux
[Termes IGN] ruissellement
[Termes IGN] sol acideRésumé : (Auteur) Acid mine drainage (AMD) is one of the major environmental problems in coalmining districts. The present study explores the potential of high-resolution satellite (HRS) imagery, combined with field-based geochemical sampling, for investigating the AMD-related issues arising from artisanal coal mining activity in a part of North-Eastern India. The HRS imagery available from Indian remote sensing satellites (CARTOSAT-1 and RESOURCESAT-1) and QuickBird are used for this purpose. The study demonstrates that (1) the artisanal ‘rat-hole' type coal mines prevalent in the study area can be mapped to a fair extent through merged CARTOSAT-1 PAN and RESOURCESAT-1 LISS-IV imagery; (2) coal mining-induced enhanced dissolution of pyrites appears to be the main mechanism for the occurrence of AMD exacerbating the problem of acid rock drainage (ARD); and (3) HRS imagery can be used to detect iron precipitates on streambeds indicating the presence of AMD. Numéro de notice : A2012-248 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.628761 Date de publication en ligne : 05/12/2011 En ligne : https://doi.org/10.1080/10106049.2011.628761 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31694
in Geocarto international > vol 27 n° 3 (June 2012) . - pp 231 - 247[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network / A. Al Bitar in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
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Titre : Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network Type de document : Article/Communication Auteurs : A. Al Bitar, Auteur ; D. Leroux, Auteur ; Yann H. Kerr, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1572 - 1586 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] bande L
[Termes IGN] Etats-Unis
[Termes IGN] humidité du sol
[Termes IGN] image SMOS
[Termes IGN] validation des données
[Termes IGN] zone humideRésumé : (Auteur) The Soil Moisture and Ocean Salinity (SMOS) satellite has opened the era of soil moisture products from passive L-band observations. In this paper, validation of SMOS products over continental U.S. is done by using the Soil Climate Analysis Network (SCAN)/SNOwpack TELemetry (SNOTEL) soil moisture monitoring stations. The SMOS operational products and the SMOS reprocessing products are both used and compared over year 2010. First, a direct node-to-site comparison is performed by taking advantage of the oversampling of the SMOS product grid. The comparison is performed over several adjacent nodes to site, and several representative couples of site-node are identified. The impact of forest fraction is shown through the analysis of different cases across the U.S. Also, the impact of water fraction is shown through two examples in Florida and in Utah close to Great Salt Lake. A radiometric aggregation approach based on the antenna footprint and spatial description is used. A global comparison of the SCAN/SNOTEL versus SMOS is made. Statistics show an underestimation of the soil moisture from SMOS compared to the SCAN/SNOTEL local measurements. The results suggest that SMOS meets the mission requirement of 0.04 m3/m3 over specific nominal cases, but differences are observed over many sites and need to be addressed. Numéro de notice : A2012-208 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2186581 Date de publication en ligne : 04/04/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2186581 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31655
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 5 Tome 1 (May 2012) . - pp 1572 - 1586[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012051A RAB Revue Centre de documentation En réserve L003 Disponible Overview of the first SMOS sea surface salinity products. Part 1: quality assessment for the second half of 2010 / N. Reul in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
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Titre : Overview of the first SMOS sea surface salinity products. Part 1: quality assessment for the second half of 2010 Type de document : Article/Communication Auteurs : N. Reul, Auteur ; J. Tenerelli, Auteur ; J. Boutin, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1636 - 1647 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] eau de mer
[Termes IGN] image SMOS
[Termes IGN] qualité des données
[Termes IGN] salinité
[Termes IGN] température de luminanceRésumé : (Auteur) Multi-angular images of the brightness temperature (TB) of the Earth at 1.4 GHz are reconstructed from the Soil Moisture and Ocean Salinity (SMOS) satellite sensor data since end 2009. Sea surface salinity (SSS) products remote sensing from space is being attempted using these data over the world oceans. The quality of the first version of the European Space Agency operational Level 2 (L2) SSS swath products is assessed in this paper, using satellite/in situ SSS data match-ups that were collected over the second half of 2010. This database reveals that 95% of the SMOS L2 products show a global error standard deviation on the order of ~ 1.3 practical salinity scale. Simple spatiotemporal aggregation of the L2 products to generate monthly SSS maps at 1° x 1° spatial resolution reduces the error down to about 0.6 globally and 0.4 in the tropics for 90% of the data. Several major problems are, however, detected in the products. Systematically, SMOS SSS data are biased within a ~ 1500 km wide belt along the world coasts and sea ice edges, with a contamination intensity and spread varying from ascending to descending passes. Numerous world ocean areas are permanently or intermittently contaminated by radio-frequency interferences, particularly in the northern high latitudes and following Asia coastlines. Moreover, temporal drifts in the retrieved SSS fields are found with varying signatures in ascending and descending passes. In descending passes, a time-dependent strong latitudinal bias is found, with maximum amplitude reached at the end of the year. Errors in the forward modeling of the wind-induced emissivity and of the sea surface scattered galactic sources are as well identified, biasing the SSS retrievals at high and low winds and when the galactic equator sources are reflected toward the sensor. Numéro de notice : A2012-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2188408 Date de publication en ligne : 23/03/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2188408 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31657
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 5 Tome 1 (May 2012) . - pp 1636 - 1647[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012051A RAB Revue Centre de documentation En réserve L003 Disponible Validation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain) / N. Sanchez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
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Titre : Validation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain) Type de document : Article/Communication Auteurs : N. Sanchez, Auteur ; J. Martinez-Fernandez, Auteur ; A. Scaini, Auteur ; C. Perez-Gutierrez, Auteur Année de publication : 2012 Article en page(s) : pp 1602 - 1611 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] Espagne
[Termes IGN] humidité du sol
[Termes IGN] image SMOS
[Termes IGN] réseau de contrôle
[Termes IGN] salinité
[Termes IGN] validation des données
[Termes IGN] zone humideRésumé : (Auteur) The Level 2 soil moisture products from the Soil Moisture and Ocean Salinity (SMOS) mission have been re- leased. The data must be validated under different scenarios of biophysical and climatic conditions. For the current study, the data from January to December 2010 from 20 in situ soil moisture stations from the REMEDHUS soil moisture measurement station network (Spain) were used. A comparison analysis was carried out in terms of the soil moisture content, its spatial variability, and temporal stability. The results show an acceptable level of agreement (R = 0.73, RMSD = 0.069 m3 · m-3, and bias = 0.053 m3 · m-3) between the in situ and satellite data. A slight constant underestimation from the SMOS data set was detected. A centered (bias removed) root-mean-square difference was calculated to account for this persistent bias (RMSDc = 0.044 m3 · m-3). This result is close to the SMOS accuracy objective of 0.04 m3 · m-3. Two conclusions can be drawn: First, SMOS is close to meet the mission accuracy requirements in REMEDHUS, and second, SMOS is able to detect temporal anomalies and the temporal evolution of ground soil moisture, even though the soil moisture was slightly underestimated. Despite a noticeably reduced spatial variability among the SMOS grid cells, the remotely sensed soil moisture shows a spatial pattern of the soil moisture fields on the area scale, in agreement with the site-specific characteristics of REMEDHUS. No differences were found between the use of ascending and descending orbits. In addition, no differences were detected between the use of time-overpass values of in situ soil moisture and that of the daily average. Numéro de notice : A2012-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2170177 Date de publication en ligne : 02/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2170177 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31656
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 5 Tome 1 (May 2012) . - pp 1602 - 1611[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012051A RAB Revue Centre de documentation En réserve L003 Disponible Advancing global marine biogeography research with open-source GIS software and cloud computing / E. Fujioka in Transactions in GIS, vol 16 n° 2 (April 2012)
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Titre : Advancing global marine biogeography research with open-source GIS software and cloud computing Type de document : Article/Communication Auteurs : E. Fujioka, Auteur ; E. Vanden Berghe, Auteur ; B. Donnelly, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 143 - 160 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] biogéographie
[Termes IGN] biologie
[Termes IGN] géoportail
[Termes IGN] GeoServer
[Termes IGN] informatique en nuage
[Termes IGN] mer
[Termes IGN] océan
[Termes IGN] OpenLayers
[Termes IGN] PostGIS
[Termes IGN] PostgreSQLRésumé : (Auteur) Across many scientific domains, the ability to aggregate disparate datasets enables more meaningful global analyses. Within marine biology, the Census of Marine Life served as the catalyst for such a global data aggregation effort. Under the Census framework, the Ocean Biogeographic Information System was established to coordinate an unprecedented aggregation of global marine biogeography data. The OBIS data system now contains 31.3 million observations, freely accessible through a geospatial portal. The challenges of storing, querying, disseminating, and mapping a global data collection of this complexity and magnitude are significant. In the face of declining performance and expanding feature requests, a redevelopment of the OBIS data system was undertaken. Following an Open Source philosophy, the OBIS technology stack was rebuilt using PostgreSQL, PostGIS, GeoServer and OpenLayers. This approach has markedly improved the performance and online user experience while maintaining a standards-compliant and interoperable framework. Due to the distributed nature of the project and increasing needs for storage, scalability and deployment flexibility, the entire hardware and software stack was built on a Cloud Computing environment. The flexibility of the platform, combined with the power of the application stack, enabled rapid re-development of the OBIS infrastructure, and ensured complete standards-compliance. Numéro de notice : A2012-157 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01310.x Date de publication en ligne : 13/04/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01310.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31604
in Transactions in GIS > vol 16 n° 2 (April 2012) . - pp 143 - 160[article]Modeling of landslide-generated tsunamis with GRASS / M. Cannata in Transactions in GIS, vol 16 n° 2 (April 2012)
PermalinkTerrestrial laser scanning for delineating in-stream boulders and quantifying habitat complexity measures / J. Resop in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)
PermalinkUsing GRASS GIS to model solar irradiation on North Carolina aquatic habitats with canopy data / D. Newcomb in Transactions in GIS, vol 16 n° 2 (April 2012)
PermalinkAnalyse en relativité d’échelle du bassin versant du Gardon (Gard, France) : Étude de la variation de la dimension fractale en fonction de l’altitude et de l’échelle / L. Nottale in Revue internationale de géomatique, vol 22 n° 1 (mars - mai 2012)
PermalinkClose range stereophotogrammetry and video imagery analyses in soil ecohydrology modelling / Maria J. Rossi in Photogrammetric record, vol 27 n° 137 (March - May 2012)
PermalinkEvaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain / G. Singh in Geocarto international, vol 27 n° 2 (March 2012)
PermalinkPermalinkCharacterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data / J.W. Kim in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkDétermination de marées par techniques GNSS adaptées pour les opérations d’exploration-production du groupe Total / Frédéric Tisserand (2012)
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