Relevant bibliographies by topics / CALIPSO (satellite de télédétection)

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Academic literature on the topic 'CALIPSO (satellite de télédétection)'

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Published: 25 May 2024

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Journal articles on the topic "CALIPSO (satellite de télédétection)"

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Chiriaco, M., H. Chepfer, P. Minnis, M. Haeffelin, S. Platnick, D. Baumgardner, P. Dubuisson, et al. "Comparison of CALIPSO-Like, LaRC, and MODIS Retrievals of Ice-Cloud Properties over SIRTA in France and Florida during CRYSTAL-FACE." Journal of Applied Meteorology and Climatology 46, no. 3 (March 1, 2007): 249–72. http://dx.doi.org/10.1175/jam2435.1.

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Abstract This study compares cirrus-cloud properties and, in particular, particle effective radius retrieved by a Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO)-like method with two similar methods using Moderate-Resolution Imaging Spectroradiometer (MODIS), MODIS Airborne Simulator (MAS), and Geostationary Operational Environmental Satellite imagery. The CALIPSO-like method uses lidar measurements coupled with the split-window technique that uses the infrared spectral information contained at the 8.65-, 11.15-, and 12.05-μm bands to infer the microphysical properties of cirrus clouds. The two other methods, using passive remote sensing at visible and infrared wavelengths, are the operational MODIS cloud products (using 20 spectral bands from visible to infrared, referred to by its archival product identifier MOD06 for MODIS Terra) and MODIS retrievals performed by the Clouds and the Earth’s Radiant Energy System (CERES) team at Langley Research Center (LaRC) in support of CERES algorithms (using 0.65-, 3.75-, 10.8-, and 12.05-μm bands); the two algorithms will be referred to as the MOD06 and LaRC methods, respectively. The three techniques are compared at two different latitudes. The midlatitude ice-clouds study uses 16 days of observations at the Palaiseau ground-based site in France [Site Instrumental de Recherche par Télédétection Atmosphérique (SIRTA)], including a ground-based 532-nm lidar and the MODIS overpasses on the Terra platform. The tropical ice-clouds study uses 14 different flight legs of observations collected in Florida during the intensive field experiment known as the Cirrus Regional Study of Tropical Anvils and Cirrus Layers–Florida Area Cirrus Experiment (CRYSTAL-FACE), including the airborne cloud-physics lidar and the MAS. The comparison of the three methods gives consistent results for the particle effective radius and the optical thickness but discrepancies in cloud detection and altitudes. The study confirms the value of an active remote sensing method (CALIPSO like) for the study of subvisible ice clouds, in both the midlatitudes and Tropics. Nevertheless, this method is not reliable in optically very thick tropical ice clouds, because of their particular microphysical properties.
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Winker, D. M., J. Pelon, J. A. Coakley, S. A. Ackerman, R. J. Charlson, P. R. Colarco, P. Flamant, et al. "The CALIPSO Mission." Bulletin of the American Meteorological Society 91, no. 9 (September 1, 2010): 1211–30. http://dx.doi.org/10.1175/2010bams3009.1.

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Aerosols and clouds have important effects on Earth's climate through their effects on the radiation budget and the cycling of water between the atmosphere and Earth's surface. Limitations in our understanding of the global distribution and properties of aerosols and clouds are partly responsible for the current uncertainties in modeling the global climate system and predicting climate change. The CALIPSO satellite was developed as a joint project between NASA and the French space agency CNES to provide needed capabilities to observe aerosols and clouds from space. CALIPSO carries CALIOP, a two-wavelength, polarization-sensitive lidar, along with two passive sensors operating in the visible and thermal infrared spectral regions. CALIOP is the first lidar to provide long-term atmospheric measurements from Earth's orbit. Its profiling and polarization capabilities offer unique measurement capabilities. Launched together with the CloudSat satellite in April 2006 and now flying in formation with the A-train satellite constellation, CALIPSO is now providing information on the distribution and properties of aerosols and clouds, which is fundamental to advancing our understanding and prediction of climate. This paper provides an overview of the CALIPSO mission and instruments, the data produced, and early results.
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Lacour, Adrien, Helene Chepfer, Matthew D. Shupe, Nathaniel B. Miller, Vincent Noel, Jennifer Kay, David D. Turner, and Rodrigo Guzman. "Greenland Clouds Observed in CALIPSO-GOCCP: Comparison with Ground-Based Summit Observations." Journal of Climate 30, no. 15 (August 2017): 6065–83. http://dx.doi.org/10.1175/jcli-d-16-0552.1.

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Spaceborne lidar observations from the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations ( CALIPSO) satellite provide the first-ever observations of cloud vertical structure and phase over the entire Greenland Ice Sheet. This study leverages CALIPSO observations over Greenland to pursue two investigations. First, the GCM-Oriented CALIPSO Cloud Product ( CALIPSO-GOCCP) observations are compared with collocated ground-based radar and lidar observations at Summit, Greenland. The liquid cloud cover agrees well between the spaceborne and ground-based observations. In contrast, ground–satellite differences reach 30% in total cloud cover and 40% in cloud fraction below 2 km above ground level, due to optically very thin ice clouds (IWC < 2.5 × 10−3 g m−3) missed by CALIPSO-GOCCP. Those results are compared with satellite cloud climatologies from the GEWEX cloud assessment. Most passive sensors detect fewer clouds than CALIPSO-GOCCP and the Summit ground observations, due to different detection methods. Second, the distribution of clouds over the Greenland is analyzed using CALIPSO-GOCCP. Central Greenland is the cloudiest area in summer, at +7% and +4% above the Greenland-wide average for total and liquid cloud cover, respectively. Southern Greenland contains free-tropospheric thin ice clouds in all seasons and liquid clouds in summer. In northern Greenland, fewer ice clouds are detected than in other areas, but the liquid cloud cover seasonal cycle in that region drives the total Greenland cloud annual variability with a maximum in summer. In 2010 and 2012, large ice-sheet melting events have a positive liquid cloud cover anomaly (from +1% to +2%). In contrast, fewer clouds (−7%) are observed during low ice-sheet melt years (e.g., 2009).
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Ma, X., K. Bartlett, K. Harmon, and F. Yu. "Comparison of AOD between CALIPSO and MODIS: significant differences over major dust and biomass burning regions." Atmospheric Measurement Techniques Discussions 5, no. 6 (November 16, 2012): 8343–67. http://dx.doi.org/10.5194/amtd-5-8343-2012.

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Abstract. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) provide, for the first time, global vertical profiles of aerosol optical properties, but further research is needed to evaluate the CALIPSO products. In this study, we employed about 6 yr (2006–2011) of CALIPSO level-3 monthly mean gridded aerosol optical depth (AOD) products (daytime and nighttime), for cloud free conditions, to compare with the MODIS Terra/Aqua level-3 monthly mean AOD dataset for the same time period. While the spatial distribution and seasonal variability of CALIPSO AOD is generally consistent with that of MODIS, CALIPSO is overall lower than MODIS as much more of the CALIPSO data is smaller than 0.1, while more of the MODIS data is greater than 0.1. We will focus on four regions that have large systematic differences: two over dust regions (the Sahara and Northwest China) and two over biomass burning regions (South Africa and South America). It is found that CALIPSO AOD is significantly lower than MODIS AOD over dust regions during the whole time period, with a maximum low bias of 0.3 over the Saharan region, and 0.25 over Northwest China. For biomass burning regions, CALIPSO AOD is significantly higher than MODIS AOD over South Africa, with a maximum high bias of 0.25. Additionally CALIPSO AOD is slightly higher than MODIS AOD over South America for most of the time period, with a few exceptions in 2006, 2007, and 2010, when biomass burning is significantly stronger than during other years. The results in this study indicate that systematic biases of CALIPSO relative to MODIS are closely associated with aerosol types, which vary by location and season. Large differences over dust and biomass burning regions may suggest that assumptions made in satellite retrievals, such as the assumed lidar ratios for CALIPSO retrievals over dust and biomass burning regions, or the surface reflectance information and/or the aerosol model utilized by MODIS algorithm, are not appropriate. Further research is needed to narrow down the exact source of bias in order to improve the satellite retrievals.
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Ma, X., K. Bartlett, K. Harmon, and F. Yu. "Comparison of AOD between CALIPSO and MODIS: significant differences over major dust and biomass burning regions." Atmospheric Measurement Techniques 6, no. 9 (September 16, 2013): 2391–401. http://dx.doi.org/10.5194/amt-6-2391-2013.

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Abstract. Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) provide global vertical profiles of aerosol optical properties for the first time. In this study, we employed about 6 yr (2006–2011) of CALIPSO level 3 monthly mean gridded aerosol optical depth (AOD) products (daytime and nighttime) for cloud-free conditions, to compare with the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra/Aqua level 3 monthly mean AOD dataset for the same time period. While the spatial distribution and seasonal variability of CALIPSO AOD is generally consistent with that of MODIS, CALIPSO is overall lower than MODIS as MODIS has higher frequency than CALIPSO for most bins of AOD. The correlation between MODIS and CALIPSO is better over ocean than over land. We focused on four regions that have large systematic differences: two over dust regions (the Sahara and Northwest China) and two over biomass burning regions (South Africa and South America). It is found that CALIPSO AOD is significantly lower than MODIS AOD over dust regions during the whole time period, with a maximum difference of 0.3 over the Saharan region and 0.25 over Northwest China. For biomass burning regions, CALIPSO AOD is significantly higher than MODIS AOD over South Africa, with a maximum difference of 0.25. Additionally CALIPSO AOD is slightly higher than MODIS AOD over South America for most of the time period, with a few exceptions in 2006, 2007, and 2010, when biomass burning is significantly stronger than during other years. We analyzed the impact of the satellite spatial and temporal sampling issue by using level 2 CALIPSO and MODIS products, and these systematic differences can still be found. The results of this study indicate that systematic differences of CALIPSO relative to MODIS are closely associated with aerosol types, which vary by location and season. Large differences over dust and biomass burning regions may suggest that assumptions made in satellite retrievals, such as the assumed lidar ratios for CALIPSO retrievals over dust and biomass burning regions or the surface reflectance information and/or the aerosol model utilized by the MODIS algorithm, are not appropriate.
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Charbonneau, Lise, Denis Morin, and Richard Brochu. "Détection des unités d’utilisation et de couverture du sol urbain au moyen d’une simulation SPOT." Cahiers de géographie du Québec 29, no. 76 (April 12, 2005): 29–47. http://dx.doi.org/10.7202/021692ar.

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La méthode utilisée consiste à classifier l'utilisation et la couverture du sol de l'agglomération urbaine de Sherbrooke avec l'aide d'images numériques acquises par un capteur aéroporté. Un survol de simulation du futur satellite SPOT a été effectué sur la région de Sherbrooke à l'aide du balayeur Daedalus multibande (DS1260) du Centre canadien de télédétection. Ce survol nous a permis d'estimer les possibilités du futur satellite SPOT pour la détection des phénomènes urbains. La télédétection des zones urbaines permettra la cartographie de ces unités d'utilisation et de couverture du sol ainsi qu'une remise à jour régulière des documents.
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Zou, Ling, Sabine Griessbach, Lars Hoffmann, Bing Gong, and Lunche Wang. "Revisiting global satellite observations of stratospheric cirrus clouds." Atmospheric Chemistry and Physics 20, no. 16 (August 26, 2020): 9939–59. http://dx.doi.org/10.5194/acp-20-9939-2020.

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Abstract. As knowledge about the cirrus clouds in the lower stratosphere is limited, reliable long-term measurements are needed to assess their characteristics, radiative impact and important role in upper troposphere and lower stratosphere (UTLS) chemistry. We used 6 years (2006–2012) of Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) measurements to investigate the global and seasonal distribution of stratospheric cirrus clouds and compared the MIPAS results with results derived from the latest version (V4.x) of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data. For the identification of stratospheric cirrus clouds, precise information on both the cloud top height (CTH) and the tropopause height is crucial. Here, we used lapse rate tropopause heights estimated from the ERA-Interim global reanalysis. Considering the uncertainties of the tropopause heights and the vertical sampling grid, we define CTHs more than 0.5 km above the tropopause as stratospheric for CALIPSO data. For MIPAS data, we took into account the coarser vertical sampling grid and the broad field of view so that we considered cirrus CTHs detected more than 0.75 km above the tropopause as stratospheric. Further sensitivity tests were conducted to rule out sampling artefacts in MIPAS data. The global distribution of stratospheric cirrus clouds was derived from night-time measurements because of the higher detection sensitivity of CALIPSO. In both data sets, MIPAS and CALIPSO, the stratospheric cirrus cloud occurrence frequencies are significantly higher in the tropics than in the extra-tropics. Tropical hotspots of stratospheric cirrus clouds associated with deep convection are located over equatorial Africa, South and Southeast Asia, the western Pacific, and South America. Stratospheric cirrus clouds were more often detected in December–February (15 %) than June–August (8 %) in the tropics (±20∘). At northern and southern middle latitudes (40–60∘), MIPAS observed about twice as many stratospheric cirrus clouds (occurrence frequencies of 4 %–5 % for MIPAS rather than about 2 % for CALIPSO). We attribute more frequent observations of stratospheric cirrus clouds with MIPAS to the higher detection sensitivity of the instrument to optically thin clouds. In contrast to the difference between daytime and night-time occurrence frequencies of stratospheric cirrus clouds by a factor of about 2 in zonal means in the tropics (4 % and 10 %, respectively) and at middle latitudes for CALIPSO data, there is little diurnal cycle in MIPAS data, in which the difference of occurrence frequencies in the tropics is about 1 percentage point in zonal mean and about 0.5 percentage point at middle latitudes. The difference between CALIPSO day and night measurements can also be attributed to their differences in detection sensitivity. Future work should focus on better understanding the origin of the stratospheric cirrus clouds and their impact on radiative forcing and climate.
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Nagovitsyna, Ekaterina S., Sergey K. Dzholumbetov, Alexander A. Karasev, and Vassily A. Poddubny. "A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements." Atmosphere 15, no. 1 (December 30, 2023): 48. http://dx.doi.org/10.3390/atmos15010048.

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The present work aims to develop a regional Middle Urals Aerosol model (MUrA model) based on the joint analysis of long-term ground-based photometric measurements of the Aerosol Robotic NETwork (AERONET) and the results of lidar measurements of the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) satellite relying on information on the air trajectories at different altitudes calculated using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) software package. The MUrA model contains parameters of normalized volume size distributions (NVSDs) characterizing the tropospheric aerosol subtypes detected by the CALIPSO satellite. When comparing the MUrA model with the global CALIPSO Aerosol Model (CAMel), we found significant differences in NVSDs for elevated smoke and clean continental aerosol types. NVSDs for dust and polluted continental/smoke aerosol types in the global and regional models differ much less. The total volumes of aerosol particles along the atmospheric column reconstructed from satellite measurements of the attenuation coefficient at a wavelength of 532 nm based on the regional MUrA model and global CAMel are compared with the AERONET inversion data. The mean bias error for the regional model is 0.016 μm3/μm2, and 0.043 μm3/μm2 for the global model.
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Hunt, William H., David M. Winker, Mark A. Vaughan, Kathleen A. Powell, Patricia L. Lucker, and Carl Weimer. "CALIPSO Lidar Description and Performance Assessment." Journal of Atmospheric and Oceanic Technology 26, no. 7 (July 1, 2009): 1214–28. http://dx.doi.org/10.1175/2009jtecha1223.1.

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Abstract This paper provides background material for a collection of Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) algorithm papers that are to be published in the Journal of Atmospheric and Oceanic Technology. It provides a brief description of the design and performance of CALIOP, a three-channel elastic backscatter lidar on the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. After more than 2 yr of on-orbit operation, CALIOP performance continues to be excellent in the key areas of laser energy, signal-to-noise ratio, polarization sensitivity, and overall long-term stability, and the instrument continues to produce high-quality data products. There are, however, some areas where performance has been less than ideal. These include short-term changes in the calibration coefficients at both wavelengths as the satellite passes between dark and sunlight, some radiation-induced effects on both the detectors and the laser when passing through the South Atlantic Anomaly, and slow transient recovery on the 532-nm channels. Although these issues require some special treatment in data analysis, they do not seriously detract from the overall quality of the level 2 data products.
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Mona, L., G. Pappalardo, A. Amodeo, G. D'Amico, F. Madonna, A. Boselli, A. Giunta, F. Russo, and V. Cuomo. "One year of CNR-IMAA multi-wavelength Raman lidar measurements in correspondence of CALIPSO overpass: Level 1 products comparison." Atmospheric Chemistry and Physics Discussions 9, no. 2 (March 31, 2009): 8429–68. http://dx.doi.org/10.5194/acpd-9-8429-2009.

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Abstract. At CNR-IMAA, an aerosol lidar system is operative since May 2000 in the framework of EARLINET (European Aerosol Research Lidar Network), the first lidar network for tropospheric aerosol study on continental scale. High quality multi-wavelength measurements make this system a reference point for the validation of data products provided by CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations), the first satellite-borne lidar specifically designed for aerosol and cloud study. Since 14 June 2006, devoted measurements are performed at CNR-IMAA in coincidence of CALIPSO overpasses. For the first time, results on 1-year comparisons between ground-based multi-wavelength Raman lidar measurements and corresponding CALIPSO lidar Level 1 profiles are presented. A methodology for the comparison is presented and discussed into details. Cases with the detection of cirrus clouds in CALIPSO data are separately analysed for taking into account eventual multiple scattering effects. For cirrus cloud cases, few cases are available to draw any conclusions. For clear sky conditions, the comparison shows good performances of the CALIPSO on-board lidar: the mean relative difference between the ground-based and CALIPSO Level 1 measurements is always within its standard deviation at all altitudes, with a mean difference in the 3–8 km altitude range of (−2±12)%. At altitude ranges corresponding to the typical PBL height observed at CNR-IMAA, a mean underestimation of (−24±20)% is observed in CALIPSO data, probably due to the difference in the aerosol content at the location of PEARL and CALIPSO ground-track location. Finally, the mean differences are on average lower for the closest overpasses (at about 40 km), with an increment of the differences at all altitude ranges when the 80 km overpasses are considered.
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Dissertations / Theses on the topic "CALIPSO (satellite de télédétection)"

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Zabukovec, Antonin. "Apport des mesures de la plateforme CALIPSO pour l’étude des sources et des propriétés optiques des aérosols en Sibérie." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS393.

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Les connaissances sur la distribution et les propriétés physico-chimiques des particules aérosols dans la troposphère ont été identifiées par le Groupe d’experts Intergouvernemental sur l’Évolution du Climat (GIEC) comme la principale source d’incertitude dans l’étude de l’évolution du climat. Une caractérisation des types, des propriétés optiques et de la distribution verticale des aérosols à l’échelle régionale est nécessaire pour réduire cette source d’incertitude et certaines zones comme la Sibérie sont encore mal documentées. Les concentrations en aérosol de la Sibérie dépendent de sources naturelles, comme les feux de forêt saisonniers ou le transport vers le nord des poussières désertiques, mais également des sources anthropiques comme celles des zones exploitations d’hydrocarbures ou le transport à longue distance des émissions du Nord de la Chine. Afin de contribuer à l’amélioration de cette caractérisation des sources d’aérosol en Sibérie, nous avons dans un premier temps analysé les mesures de deux campagnes aéroportés réalisées sur des distances de plusieurs milliers de km en juillet 2013 et juin 2017. L’avion était équipé d’un lidar à rétrodiffusion à 532 nm ainsi de mesures in-situ de monoxyde de carbone (CO), de carbone suie (BC) et des distributions en taille des aérosols. Ces observations ont été étudiées en synergie avec celle du lidar spatial CALIOP et des missions MODIS et IASI. La gamme d'altitude des couches d'aérosols et le rôle de l’âge sur les propriétés optiques (épaisseur optique (AOD532), dépolarisation, rapport de couleur) sont discutés pour chaque type d'aérosol. Les résultats d’un vol au-dessus des régions d’extraction du gaz correspond au plus fortes AOD532, et des concentrations en BC supérieure à celle des émissions des zones urbaines et a permis une estimation du rapport lidar de ces panaches d'aérosols mal documentés dans la littérature. La deuxième partie du travail a consisté à proposer une alternative à la restitution indirecte de l’AOD532 par l’instrument CALIOP à partir de l’inversion du signal lidar de rétrodiffusion atténué. Cette méthode utilise la réflectance du signal lidar de CALIOP par la surface et a déjà été utilisée au-dessus des océans ou des nuages d’eau liquide optiquement opaques pour calculer une valeur AOD. Dans ce travail, nous avons ainsi développé et évalué une restitution des AOD à partir de la réflectance CALIOP de surface pour les zones continentales. Deux méthodologies ont été utilisées afin de déterminer la réflectance lidar de surface non atténuée par les aérosols: (i) sélection des observations CALIOP en condition de ciel clair sur 7 ans d’observation (ii) extrapolation de la relation de linéarité entre la réflectance lidar de surface atténuée et la transmission atmosphérique. Si ces deux méthodes donnent de bons résultats dans les zones de faible réflectance lidar de surface (< 0.75 sr-1) la première méthode n’est pas utilisable sur les zones désertiques. L’utilisation de ces AOD lidar mesurées directement au-dessus des surfaces continentales permet d’améliorer le biais (|ME| < 0.034) et la dispersion (< 0.145) en comparaison aux observations MODIS. Ceci améliore beaucoup les résultats des comparaisons CALIOP-MODIS obtenus avec la restitution indirecte des AOD une analyse des profils verticaux de rétrodiffusion lidar atténuée avec un biais < 0.174 et une dispersion < 0.234
Knowledge of the distribution and physico-chemical properties of aerosol particles in the troposphere has been identified by the Intergovernmental Panel on Climate Change (IPCC) as the main source of uncertainty in the study of climate change. Characterization of the types, optical properties and vertical distribution of aerosols at the regional scale is needed to reduce this source of uncertainty and some areas such as Siberia are still poorly documented. Aerosol concentrations in Siberia depend on natural sources, such as seasonal forest fires or northward transport of desert dust, but also on anthropogenic sources such as those from hydrocarbon mining areas or long-range transport of emissions from northern China. In order to contribute to the improvement of this characterization of aerosol sources in Siberia, we first analyzed the measurements of two airborne campaigns carried out over distances of several thousand km in July 2013 and June 2017. The aircraft was equipped with a back-scattering lidar at 532 nm, as well as in-situ measurements of carbon monoxide (CO), black carbon (BC) and aerosol size distributions. These observations were studied in synergy with those of the CALIOP spaceborne lidar and the MODIS and IASI missions. The altitude range of the aerosol layers and the role of age on the optical properties (optical thickness (AOD532), depolarization, color ratio) are discussed for each type of aerosol. The results of a flight over the gas extraction regions corresponded to the highest AOD532 and higher BC concentrations than the emissions from urban areas and allowed an estimation of the lidar ratio of these aerosol plumes poorly documented in the literature. The second part of the work consisted in proposing an alternative to the indirect restitution of the AOD532 by the CALIOP instrument from the inversion of the attenuated back-scattering lidar signal. This method uses the surface reflectance of the CALIOP lidar signal and has already been used over oceans or optically opaque liquid water clouds to calculate an AOD value. In this work, we have thus developed and evaluated an AOD restitution from the CALIOP surface reflectance for continental areas. Two methodologies were used to determine the surface lidar reflectance not attenuated by aerosols: (i) selection of CALIOP observations under clear sky conditions over 7 years of observation (ii) extrapolation of the linearity relationship between attenuated surface lidar reflectance and atmospheric transmission. If these two methods give good results in areas of low surface lidar reflectance (< 0.75sr-1), the first method is not usable in desert areas. The use of these LIDAR AOD measured directly over continental surfaces improves the bias (|ME| < 0.034) and dispersion (< 0.145) compared to MODIS observations. This greatly improves the results of the CALIOP-MODIS comparisons obtained with the indirect restitution of the AODs an analysis of the vertical profiles of attenuated lidar backscatter with a bias < 0.174 and dispersion < 0.234
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Nam, Christine C. W., Johannes Quaas, Roel Neggers, Drian Colombe Siegenthaler-Le, and Francesco Isotta. "Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177343.

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Three different boundary layer cloud models are incorporated into the ECHAM5 general circulation model (GCM) and compared to CloudSat and CALIPSO satellite observations. The first boundary layer model builds upon the standard Tiedtke (1989) parameterization for shallow convection with an adapted convective trigger; the second is a bulk parameterization of the effects of transient shallow cumulus clouds; and lastly the Dual Mass Flux (DMF) scheme adjusted to better represent shallow convection. The three schemes improved (Sub)Tropical oceanic low-level cloud cover, however, the fraction of low-level cloud cover remains underestimated compared to CALIPSO observations. The representation of precipitation was improved by all schemes as they reduced the frequency of light intensity events <0.01 mm d-1, which were found to dominate the radar reflectivity histograms as well as be the greatest source of differences between ECHAM5 and CloudSat radar reflectivity histograms. For both lidar and radar diagnostics, the differences amongst the schemes are smaller than the differences compared to observations. While the DMF approach remains experimental, as its top-of-atmosphere radiative balance has not been retuned, it shows the most promise in producing nonprecipitating boundary layer clouds. With its internally consistent boundary layer scheme that uses the same bimodal joint distribution with a diffusive and an updraft component for clouds and turbulent transport, the ECHAM5_DMF produces the most realistic boundary layer depth as indicated by the cloud field. In addition, it reduced the frequency of large-scale precipitation intensities of <0.01 mm d-1 the greatest.
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Navy, Patrice. "Recalage semi-dense d'images satellite." Antilles-Guyane, 2008. http://www.theses.fr/2008AGUY0186.

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Cette thèse traite du problème du recalage de couples d'images satellite. Notre méthode est basée sur le recalage de clusters de points extraits dans les images. Nous avons donc choisi de recaler globalement ces clusters de points par une approche géométrique. Pour cela, nous définissons une fonction coût qui évalue la qualité d'une homographie puis nous optimisons cette fonction par une méthode de recuit simulé appliquée aux paramètres de l'homographie. La recherche de cette solution n'est pas aisée lorsque ces paramètres sont les coefficients mathématiques de l'homographie. Ainsi, en partant de l'idée qu'un petit déplacement de ces coefficients peut entraîner une variation plus grande des conditions de captures des images, nous avons préféré mettre en place un modèle des homographies basé sur les paramètres de prises de vue des images. Nous montrons que l'utilisation de ces "paramètres physiques" facilite la recherche de l'homographie solution par notre méthode de recalage. Nous caractérisons ensuite notre méthode de recalage sous plusieurs angles. Premièrement, nous étudions le taux de succès que fournit notre méthode en fonction du nombre de points présents dans un cluster et n'ayant pas de correspondant dans l'autre cluster. Cette étude nous donne le pourcentage de ces "points intrus" acceptables pour notre méthode. Deuxièmement, nous recherchons un détecteur de points donnant un tel pourcentage en utilisant les contraintes propres à notre problématique. Pour finir, nous présentons deux exemples de recalage d'images sur des couples réels d'images satellite
This work is about satellite images matching. Our method is based on the matching of the clusters of extracted points in the images. We chose to match these clusters in their globality by a geometrical approach. For that, we define a cost function which evaluates the homography quality and we optimize this function with a simulated annealing method on the homography parameters. The search for this solution is not easy when these parameters are the mathematical coefficients of the homography. Thus, on the idea that a small variation of these coefficients can involve a larger variation of the capture conditions, we preferred to set up an homography model based on the capture parameters. We show that the use of these "physical parameters" facilitates the homography research as a solution to our matching method. Then, we characterize our matching method under several angles. Firstly, we study the success rate of our method according to the number of points present in a cluster without correspondent in the other cluster. This study gives us the percentage of these "outliers points" which is acceptable for our method. Secondly, we search a detector of points giving such a percentage by using our matching problem constraints. To finish, we present two examples of images matching with real couples of satellite images
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Gullström, Cecilia. "Use of Satellite Data for Prediction of Weather Impact on EO-Systems." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152284.

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To predict the performance of an electro-optical sensor system (EO-system) requires taking the weather situation into consideration. The possibility to use weather data from satellites instead of ground – and flight stations has been investigated. Nearly 170 satellites (about 10% of the functional satellites in orbit) were found to have atmosphere and weather monitoring. A method to select satellite data has been created based on three criteria: (1) the satellite should have a least one payload that measure a weather parameter for EO-system, (2) it should be possible to download data, free of charge, from the specified payload and (3) the satellite should cover geographical areas of interest for a potential user. The investigated performance property is the range, which is affected by many weather parameters, and focus has been on aerosols. The mean value for the aerosol extinction coefficient, for day- and nighttime conditions in December 2016, from the satellite CALIPSO’s lidar instrument Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) has been downloaded from www.earthdata.nasa.gov and implemented in a new developed application to predict the range for an EO-system. In the satellite data, from December 2016, it could be seen that the presence of aerosols, on a global scale, appears below 5 km and that the concentration of aerosols for nighttime condition is higher in local areas. For the test wavelength band of 0.9–2.5 µm, the application showed that the aerosol impact reduced the range by nearly 87%, if the EO-system was in a layer with aerosols. The application for the range prediction of EO-systems is on an early stage and need further development, especially its weather and scene parameters, to become a successful tool for a potential user in the future.
Att förutsäga prestandan hos ett elektro-optiskt sensorsystem (EO-system) kräver att man tar hänsyn till bland annat förhållandet i atmosfären. Möjligheten att använda väderdata från satelliter istället för mark- och flygstationer har undersökts. Det hittades nästan 170 satelliter (cirka 10% av de fungerande satelliterna i omloppsbana) med inriktning på atmosfär- och väderövervakning. En metod för att välja ut satellitdata har skapats som baseras på tre kriterier: (1) satelliten ska ha minst ett instrument som mäter en väderparameter för EO-system, (2) man ska, från internet, kunna ladda ner mätdata från det specifika instrumentet och (3) satelliten ska passera över ett område som är av intresse för en potentiell användare. Den prestandaegenskap som har undersökts är räckvidden, som påverkas av flera väderparametrar, där fokus har legat på inverkan från aerosoler. Medelvärdet för extinktionskoefficienten av aerosoler, för dag och natt i december 2016, från satelliten CALIPSO’s lidarinstrument Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) laddades ner från www.earthdata.nasa.gov och användes i en nyutvecklad applikation för att förutsäga räckvidden hos ett EO-system. Från satellitens mätningar i december 2016 kunde man se att förekomsten av aerosoler mestadels befann sig, globalt sett, uppdelat i olika lager under 5 km höjd och att koncentrationen av aerosoler är högre på natten i lokala områden. Applikationens beräkningar visade att förekomsten av aerosoler påverkade räckvidden för exempel våglängdsbandet 0.9–2.5 µm med en försämring upp till 87% när EO-systemet befann sig i ett skikt av aerosoler. Applikationen för att förutsäga räckvidden hos EO-system är i dess begynnelse och kräver vidareutveckling av både väder- och scenparametrar för att det ska bli ett framgångsrikt verktyg.
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Nam, Christine C. W., Johannes Quaas, Roel Neggers, Drian Colombe Siegenthaler-Le, and Francesco Isotta. "Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data." American Geophysical Union (AGU), 2014. https://ul.qucosa.de/id/qucosa%3A13458.

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Three different boundary layer cloud models are incorporated into the ECHAM5 general circulation model (GCM) and compared to CloudSat and CALIPSO satellite observations. The first boundary layer model builds upon the standard Tiedtke (1989) parameterization for shallow convection with an adapted convective trigger; the second is a bulk parameterization of the effects of transient shallow cumulus clouds; and lastly the Dual Mass Flux (DMF) scheme adjusted to better represent shallow convection. The three schemes improved (Sub)Tropical oceanic low-level cloud cover, however, the fraction of low-level cloud cover remains underestimated compared to CALIPSO observations. The representation of precipitation was improved by all schemes as they reduced the frequency of light intensity events <0.01 mm d-1, which were found to dominate the radar reflectivity histograms as well as be the greatest source of differences between ECHAM5 and CloudSat radar reflectivity histograms. For both lidar and radar diagnostics, the differences amongst the schemes are smaller than the differences compared to observations. While the DMF approach remains experimental, as its top-of-atmosphere radiative balance has not been retuned, it shows the most promise in producing nonprecipitating boundary layer clouds. With its internally consistent boundary layer scheme that uses the same bimodal joint distribution with a diffusive and an updraft component for clouds and turbulent transport, the ECHAM5_DMF produces the most realistic boundary layer depth as indicated by the cloud field. In addition, it reduced the frequency of large-scale precipitation intensities of <0.01 mm d-1 the greatest.
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Bernardo, Frédéric. "Télédétection satellite micro-onde de variables atmosphériques et de surface." Paris 6, 2013. http://www.theses.fr/2013PA066051.

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L'objectif de ce travail de thèse est la restitution conjointe de profils atmosphériques et de propriétés de surface, sur l'océan comme sur les continents, à partir des observations satellite micro-ondes. La méthode proposée, à base de réseaux de neurones, est très générale et s'étend donc facilement a�� diverses configurations instrumentales. Ainsi, le développement de l'algorithme pour la préparation de la mission Megha-Tropiques s'est appuyé sur les instruments AMSR-E et HSB sur AQUA, et AMSU/A et MHS sur METOP. L'inversion est paramétrée à partir d'analyses de l'ECMWF et de simulations issues d'un modèle de transfert radiatif. Au-dessus des terres, la forte contribution de la surface rend nécessaire l'utilisation d'un estimateur d'émissivité micro-onde, TELSEM. Celui-ci fut développé à partir des observations SSM/I et intégré en tant que module officiel du modèle de transfert radiatif communautaire RTTOV. Une approche innovante de calibration des observations satellites, nécessaire avant toute inversion, à été élaborée et améliore considérablement les restitutions. Une chaine opérationnelle complète a ainsi pu être proposée pour les plate-formes AQUA, METOP et Megha-Tropiques. La restitution des profils de vapeur d'eau à partir des observations microondes est de bonne qualité, sur terre comme au dessus des océans, pour des situations claires et nuageuses. Une validation approfondie des résultats a été effectuée en utilisant une base globale de radiosondages. Dans un second temps, nous avons exploité notre approche pour l'étude d'un concept instrumental dans les microondes, Microwat. Cet instrument de nouvelle génération a pour objectif de restituer, à haute résolution spatiale, la température et les vents de surface au-dessus des océans. Ce nouvel instrument est en cours d'étude à l'ESA
The objective of this thesis is the joint retrieval of atmospheric profiles and surface properties over land and ocean from satellite microwave observations. Our retrieval method is based on neural networks. This technique is very general and can be easily extended to various instrumental configurations. The development of the algorithm for the preparation of the Megha-Tropiques mission relied on AMSR-E and HSB instrument on Aqua and AMSU/A and MHS on MetOp. The method is parameterized with ECMWF analysis and simulations with a radiative transfer model. Over land, the strong contribution of the surface requires the use of a microwave emissivity estimator, TELSEM. It is developed from SSM/I observations and integrated as an official module in the radiative transfer model RTTOV. An innovative calibration approach for satellite observations, necessary before any inversion, is developed and greatly improves the retrievals. A full operational chain is proposed for AQUA, METOP and Megha-Tropiques platforms. The retrieval of water vapor profiles from microwave observations performs as well over land and ocean, for clear and cloudy conditions. A thorough validation of the results is performed using a global base of radiosondes. In a second phase, a similar approach is used for the study of an instrument concept, Microwat, for the retrieval of ocean surface temperature from microwave observations, under clear and cloudy conditions, with a high spatial resolution. This new instrument is studied by ESA
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Nam, Christine C. W., and Johannes Quaas. "Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177621.

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Observations from Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and CloudSat satellites are used to evaluate clouds and precipitation in the ECHAM5 general circulation model. Active lidar and radar instruments on board CALIPSO and CloudSat allow the vertical distribution of clouds and their optical properties to be studied on a global scale. To evaluate the clouds modeled by ECHAM5 with CALIPSO and CloudSat, the lidar and radar satellite simulators of the Cloud Feedback Model Intercomparison Project’s Observation Simulator Package are used. Comparison of ECHAM5 with CALIPSO and CloudSat found large-scale features resolved by the model, such as the Hadley circulation, are captured well. The lidar simulator demonstrated ECHAM5 overestimates the amount of high-level clouds, particularly optically thin clouds. High-altitude clouds in ECHAM5 consistently produced greater lidar scattering ratios compared with CALIPSO. Consequently, the lidar signal in ECHAM5 frequently attenuated high in the atmosphere. The large scattering ratios were due to an underestimation of effective ice crystal radii in ECHAM5. Doubling the effective ice crystal radii improved the scattering ratios and frequency of attenuation. Additionally, doubling the effective ice crystal radii improved the detection of ECHAM5’s highest-level clouds by the radar simulator, in better agreement with CloudSat. ECHAM5 was also shown to significantly underestimate midlevel clouds and (sub)tropical low-level clouds. The low-level clouds produced were consistently perceived by the lidar simulator as too optically thick. The radar simulator demonstrated ECHAM5 overestimates the frequency of precipitation, yet underestimates its intensity compared with CloudSat observations. These findings imply compensating mechanisms inECHAM5 balance out the radiative imbalance caused by incorrect optical properties of clouds and consistently large hydrometeors in the atmosphere.
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Nam, Christine C. W., and Johannes Quaas. "Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data." American Meteorological Society, 2012. https://ul.qucosa.de/id/qucosa%3A13468.

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Observations from Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and CloudSat satellites are used to evaluate clouds and precipitation in the ECHAM5 general circulation model. Active lidar and radar instruments on board CALIPSO and CloudSat allow the vertical distribution of clouds and their optical properties to be studied on a global scale. To evaluate the clouds modeled by ECHAM5 with CALIPSO and CloudSat, the lidar and radar satellite simulators of the Cloud Feedback Model Intercomparison Project’s Observation Simulator Package are used. Comparison of ECHAM5 with CALIPSO and CloudSat found large-scale features resolved by the model, such as the Hadley circulation, are captured well. The lidar simulator demonstrated ECHAM5 overestimates the amount of high-level clouds, particularly optically thin clouds. High-altitude clouds in ECHAM5 consistently produced greater lidar scattering ratios compared with CALIPSO. Consequently, the lidar signal in ECHAM5 frequently attenuated high in the atmosphere. The large scattering ratios were due to an underestimation of effective ice crystal radii in ECHAM5. Doubling the effective ice crystal radii improved the scattering ratios and frequency of attenuation. Additionally, doubling the effective ice crystal radii improved the detection of ECHAM5’s highest-level clouds by the radar simulator, in better agreement with CloudSat. ECHAM5 was also shown to significantly underestimate midlevel clouds and (sub)tropical low-level clouds. The low-level clouds produced were consistently perceived by the lidar simulator as too optically thick. The radar simulator demonstrated ECHAM5 overestimates the frequency of precipitation, yet underestimates its intensity compared with CloudSat observations. These findings imply compensating mechanisms inECHAM5 balance out the radiative imbalance caused by incorrect optical properties of clouds and consistently large hydrometeors in the atmosphere.
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Pébayle, Josée. "L'Intérêt en géographie des données du satellite Spot (à partir de simulations)." Paris 1, 1986. http://www.theses.fr/1986PA010536.

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Vernier, Jean-Paul. "Les aérosols et le transport dans la haute troposphère et la stratosphère tropicale à partir des mesures du lidar spatial CALIPSO." Versailles-St Quentin en Yvelines, 2010. http://www.theses.fr/2010VERS0006.

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Ce travail de thèse porte sur la description des aérosols stratosphériques et des mécanismes de transport responsables de leur évolution dans le temps à partir des deux premières années d’observations du lidar CALIOP embarqué sur le satellite franco-américain CALIPSO, lancé en mai 2006. Les algorithmes de traitement développés ont permis de montrer : a) l’influence des éruptions volcaniques moyennes qui représentent une source importante d’aérosols dans la moyenne stratosphère jusqu’à maintenant ignorée ; b) le découplage entre la basse et moyenne stratosphère tropicale avec un minimum de vitesse verticale à 20km surmonté par la lente ascension de la circulation de Brewer-Dobson modulée par les phases de l’oscillation quasi-biennale ;c) l’injection d’air propre jusqu’à 20km dans les régions équatoriales en hiver boréal qui coïncide avec la période de convection la plus intense au dessus des continents tropicaux de l’hémisphère sud, et enfin ; d) la présence d’un résidu d’aérosols entre 15 et 18km au dessus des régions de mousson en Afrique de l’Ouest et en Asie qui pourrait correspondre à des poussières minérales transportées par la convection limitrophe aux déserts du Sahara et de Gobi
This PhD work deals with the study of stratospheric aerosols and transport processes responsible for their time evolution from the first two years observations of the CALIOP lidar carried on the French-US CALIPSO satellite launched in May 2006. Aerosols retrieval algorithms developed have shown: a) the impact of medium-scale volcanic eruptions which represent an important source of aerosols in the stratosphere, ignored until now; b) the decoupling of the mid- and lower stratosphere at 20km separated by a region of zero vertical velocity, surmounted by the slow ascent of the Brewer-Dobson circulation modulated by the Quasi-Biennal Oscillation; c) the injection of clean air until 20km in the equatorial region during the boreal winter, likely washed out in the troposphere and rapidly transport in the most convective regions located above the tropical continents of the south hemisphere. D) the occurrence of aerosols between 15 and 18km above West Africa and Asia during their respective monsoon season, which could be small mineral dust lifted by convection from Sahara and Gobi deserts
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Books on the topic "CALIPSO (satellite de télédétection)"

1

Satellite remote sensing: An introduction. London: Routledge & Kegan Paul, 1987.

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Létourneau, Guy. Description des données brutes de télédétection. Montréal, Qué: Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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Regional satellite oceanography. London: Taylor & Francis, 1996.

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La télédétection: Des satellites aux systèmes d'information géographiques. Paris: Nathan, 1995.

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Minvielle, Erwann. L' analyse statistique et spatiale: Statistiques, cartographie, télédétection, SIG. Nantes [France]: Éditions du Temps, 2003.

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Létourneau, Guy. Hydrodynamique et dynamique sédimentaire du lac Saint-François. Montréal, Qué: Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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Létourneau, Guy. Milieux humides du Saguenay, de l'estuaire et du golfe du Saint-Laurent et de la baie des Chaleurs. Montréal, Qué: Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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Hiley, J. A comparison of estimates of agricultural land use using satellite imagery and the census of agriculture inventories. Edmonton, Alta: Centre for Land and Biological Resources Research, Research Branch, Agriculture and Agri-Food Canada, 1995.

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Canada. Dept. of Foreign Affairs and International Trade. Telecommunications : agreement between the Government of Canada and the Government of the United States of America concerning the operation of commercial remote sensing satellite systems (with annex), Washington, June 16, 2000, in force June 16, 2000 =: Télécommunications : accord entre le gouvernement du Canada et le gouvernement des États-Unis d'Amérique concernant l'exploitation de systèmes commerciaux de télédétection par satellite (avec annexe), Washington, le 16 juin 2000, en vigueur le 16 juin 2000. Ottawa, Ont: Minister of Public Works and Government Services Canada = Ministre des travaux publics et services gouvernementaux Canada, 1998.

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Claire, Jolly, and Organisation for Economic Co-operation and Development., eds. Space technologies and climate change: Implications for water management, marine resources and maritime transport. Paris: OECD, 2008.

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Book chapters on the topic "CALIPSO (satellite de télédétection)"

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Georgoulias, A. K., A. Tsikerdekis, V. Amiridis, E. Marinou, A. Benedetti, P. Zanis, and K. Kourtidis. "A 3-D Evaluation of the MACC Reanalysis Dust Product Over Europe Using CALIOP/CALIPSO Satellite Observations." In Perspectives on Atmospheric Sciences, 795–800. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_114.

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GILLET-CHAULET, Fabien. "Assimilation de données en glaciologie." In Inversion et assimilation de données de télédétection, 169–200. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9142.ch5.

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De combien et à quelle vitesse les calottes polaires peuvent contribuer au changement de niveau des mers ? » sont les principales problèmes auxquels tendent actuellement de répondre les modèles de calotte polaire. Avec la multiplication des observations par satellite, l’assimilation de données connaît un fort développement en glaciologie afin de mieux comprendre des processus qui, du fait des conditions, sont difficilement observables directement.
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Conference papers on the topic "CALIPSO (satellite de télédétection)"

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Blouvac, Jean, François Paoli, Philippe Landiech, and Patrick Castillan. "CALIPSO small satellite flight commissioning." In 57th International Astronautical Congress. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.iac-06-b5.4.09.

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Vinh, Tran Tuan, Pham Van Ha, Nguyen Thanh Thuy, and Nguyen Thi Nhat Thanh. "Analysis of CALIPSO satellite imagery for air pollution source identification in Hanoi, Vietnam." In 2020 12th International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2020. http://dx.doi.org/10.1109/kse50997.2020.9287409.

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Porelli, Andrea. "Satellite-based Calibration of the TAIGA-HiSCORE Cerenkov Array by the LIDAR on-board CALIPSO." In 37th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.395.0876.

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Foote, Gregory M., Atreya Acharyya, Colin Adams, Avery Archer, Priyadarshini Bangale, Joshua Bartkoske, Pedro Ivo Batista, et al. "Exploring the Potential of the Pulsed Laser onboard the CALIPSO Satellite to Improve Calibration with VERITAS." In 38th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2023. http://dx.doi.org/10.22323/1.444.1496.

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Dzholumbetov, Sergey, and Ekaterina Nagovitsyna. "Estimation of the atmospheric aerosol concentration over the territory of the Ural Federal District based on CALIPSO satellite data." In XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", edited by Oleg A. Romanovskii. SPIE, 2023. http://dx.doi.org/10.1117/12.2690407.

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Peters, Bryce, Andrew Wardrop, Doyle Lahti, Helen Herzog, Timothy O'Connor, and Robert DeCoursey. "Flight SEU Performance of the Single Board Computer (SBC) Utilizing Hardware Voted Commercial PowerPC Processors On-board the CALIPSO Satellite." In 2007 IEEE Radiation Effects Data Workshop. IEEE, 2007. http://dx.doi.org/10.1109/redw.2007.4342534.

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Mancera, Diana, Marion Schroedter-Homscheidt, Thomas Popp, and Detlev Heinemann. "Vertical aerosol concentrations in the lowest 300m of the troposphere for solar tower plants assessment from CALIPSO satellite and ECMWF-MACC data." In SOLARPACES 2018: International Conference on Concentrating Solar Power and Chemical Energy Systems. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5117708.

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Dhaman, Reji K., Malladi Satyanarayana, G. S. Jayeshlal, V. P. Mahadevan Pillai, and V. Krishnakumar. "Investigation on the monthly variation of cirrus optical properties over the Indian subcontinent using cloud-aerosol lidar and infrared pathfinder satellite observation (Calipso)." In SPIE Asia-Pacific Remote Sensing, edited by Eastwood Im, Raj Kumar, and Song Yang. SPIE, 2016. http://dx.doi.org/10.1117/12.2223653.

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Campbell, James R., Jasper R. Lewis, Ellsworth J. Welton, Yu Gu, Jared Marquis, Fatkhuroyan Fatkhuroyan, Paolo Di Girolamo, and Simone Lolli. "Assessment of cirrus cloud and aerosol radiative effect in South-East Asia by ground-based NASA MPLNET lidar network data and CALIPSO satellite measurements." In Remote Sensing of Clouds and the Atmosphere, edited by Adolfo Comerón, Evgueni I. Kassianov, and Klaus Schäfer. SPIE, 2017. http://dx.doi.org/10.1117/12.2278987.

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Kalinskaya, Darya. "QUALITY ASSESSMENT OF THE AEROSOL OPTICAL DEPTH BY AERONET NETWORK, MODIS AND CALIPSO SATELLITE DATA OVER THE WESTERN PART OF THE BLACK SEA REGION." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/4.1/s19.132.

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