aft_4_Luojus_GlobSnow_IGARSS_2011_final.ppt
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The document summarizes the GlobSnow project, which produced hemispherical snow water equivalent (SWE) and snow extent climate data records from 1979 to present using microwave radiometer data. The project achieved a new level of accuracy for SWE retrieval through extensive validation. SWE shows a clear declining trend over 30 years. Near-real time processing is ongoing to transfer to EUMETSAT. Daily, weekly and monthly SWE and snow extent products are freely available at www.globsnow.info.
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CAMS General Assembly EUMETSAT
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EUMETSAT implements Copernicus activities as agreed with the European Commission, including operations of Copernicus dedicated missions and delivery of Copernicus data and product services. Recent activities include successful launches of Jason-3 and Sentinel-3 and approval of Sentinel-3 aerosol and fire products. EUMETSAT provides various aerosol, trace gas, cloud and other atmospheric composition products from current and future missions like Metop, Sentinel-3, -4, and -5 to support CAMS. EUMETSAT is working to develop multi-sensor synergistic products from its instruments to improve monitoring of atmospheric composition.
Strahlendorff - EO and insitu for weather, water and climate
This document discusses in-situ observation, Earth observation (EO) data, and modeling at the Finnish Meteorological Institute (FMI). It notes that FMI has been collecting in-situ weather data at the Sodankylä supersite since 1856, and now also collects various other environmental data. EO and model data volumes are much larger, with raw Sentinel data alone being over 100 TB per year. While FMI climate and station data are openly available, hydrological in-situ data is not shared widely between countries. The document concludes that meaningful compilation and visualization of data is crucial for end-user uptake of weather and climate services.
Spitzer as microlens_parallax_satellite_mass_measurement_for_exoplanet_and_hi...
This document summarizes a study using Spitzer and ground-based observations to measure the microlens parallax vector πE for the first time for a planetary microlensing event, OGLE-2014-BLG-0124L. The πE measurement allows the mass and distance of the planet and its host star to be determined. Spitzer observations provided a 2.5% precision measurement of πE, substantially improving upon the 22% precision from ground data alone. The planet has a mass of about 0.5 Jupiter masses and orbits a star of about 0.7 solar masses at a projected distance of about 3.1 AU.
Development of Methodology for Determining Earth Work Volume Using Combined S...
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
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SBAS-DInSAR processing on the ESA Geohazards Exploitation Platform
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Future guidelines the meteorological view - Isabel Martínez (AEMet)
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Lexie.IGARSS11.v3.pptx
This document presents a method called manifold alignment for classifying hyperspectral images taken at different times. Manifold alignment learns a joint data manifold from multiple images by exploiting similar local geometric structures. It minimizes differences between local geometries of images by aligning them optimally. Experimental results show that manifold alignment using spectral and spatial information improves classification accuracy for temporally nonstationary hyperspectral data, outperforming methods that use the data pooled across time or correspondences alone. Future work includes investigating better ways to integrate spatial and spectral features for manifold alignment of longer image sequences.
IGARSS_Broadcast_Instructions_1_of_3_Final.pdf
This document provides instructions for adding a new presentation to the IGARSS 2011 broadcast website. It describes logging into the website, navigating to the presentations area, and adding a new presentation. When adding a presentation, details must be provided such as the title, authors, presenter, date, time, and room number. Information for the new presentation can be copied from the IGARSS 2011 Technical Program.
TH4.T04.3.ppt
The document discusses estimating air and snow surface temperature evolution in East Antarctica using passive microwave remote sensing. Key points:
- Passive microwave sensors have been monitoring Antarctica since the 1980s, providing multiple images per day, but the continent remains undersampled.
- Correlation analysis between brightness temperature (Tb) measurements from sensors and in situ snow/air temperature data show Tb is closely related to snow temperature at different depths.
- Linear regressions were used to retrieve snow temperatures at depths from 0-10 meters using Tb, achieving good correlation (R2 > 0.9) and standard errors around 2°C.
- Air temperature was also retrieved but with lower accuracy (RMSE 4-
FAST MAP PROJECTION ON CUDA.ppt
This document discusses using CUDA on GPUs to accelerate map projection calculations. It presents a method for implementing the Universal Transverse Mercator projection on a GPU using CUDA. Experiments show the GPU implementation provides a 6-8x speedup over a CPU version when including data transfer times, and a 70-90x speedup when only considering calculation times. Two task assignment approaches are evaluated, with striped partitioning performing slightly better than a matrix distribution method. Future work is proposed to implement other GIS algorithms on GPUs to take advantage of the significant speed increases possible.
Fukao Plenary4.pdf
The document discusses advances in radar remote sensing techniques for observing Earth's atmosphere. It describes the structure of the atmosphere and the basic principles of radar techniques. Recent radar systems like the MU radar in Japan can measure atmospheric parameters like wind velocity with high temporal and altitude resolution. Radars have been used to study dynamics in the upper, middle, and lower atmosphere. Atmospheric gravity waves observed by radar modulate wind profiles and transport momentum, affecting atmospheric structure. Range imaging techniques allow reconstruction of time series and Doppler spectra at any height within the radar observation volume.
TU4.T10.5.ppt
This document analyzes the polarimetric characteristics of mesoscale cellular convection (MCC) seen in Synthetic Aperture Radar (SAR) images over the ocean and how they differ from characteristics of the open ocean surface. MCC areas showed higher values of co-polarization phase difference, entropy (H), and alpha angle (α) compared to typical ocean surface values. The document presents datasets used, Weather Research and Forecasting (WRF) model results confirming signals were MCC, and concludes polarimetric parameters have potential to identify atmospheric convection from open ocean SAR images.
Microwave remote sensing
The document discusses the history and applications of microwave remote sensing. It began with US military research after World War II and studies by NASA in the 1960s to use microwave technology for earth observation. Key developments included airborne and spaceborne sensors to measure surface scattering properties and models to explain microwave interactions with natural targets. Current applications of microwave remote sensing include weather monitoring, navigation, imaging, and mapping for both civilian and military uses.
Optical and Microwave Remote Sensing for Crop Monitoring in Mexico
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
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The document summarizes a study that evaluated EUMETSAT's Multi-sensor Precipitation Estimate (MPE) products from Meteosat-8 and Meteosat-9 satellites in comparison with ground-based radar data over Northwestern Europe. Categorical and continuous verification statistics were used to assess differences in spatial distribution and rainfall values between the MPE products and radar data. The results showed that MPE from Meteosat-9 had higher accuracy scores and was better at estimating rainfall values, though both products tended to overestimate during heavy rainfall events. Recommendations included further validation of MPE products over different regions and timescales.
WHO - V Filotev.ppt
This document discusses the need for a reconciled ozone dataset for trend analysis. It outlines several goals for the dataset including assessing the state of the ozone layer, evaluating trends in ozone-depleting substances, and analyzing interactions between tropospheric and stratospheric ozone. The document also describes challenges with combining ozone profile records from different satellite instruments and the need for a workshop to develop a work plan for creating the reconciled ozone dataset.
NPOESSPreparatoryProjectValidationPlansfortheOzoneMappingandProfilerSuite.ppt
This document outlines validation plans for the Ozone Mapping and Profiler Suite (OMPS) instrument on the NPOESS Preparatory Project satellite. It discusses:
1) The calibration and validation team members and their roles in characterizing instrument performance through comparisons with other satellite and ground-based instruments from launch through long-term monitoring.
2) The schedule of major validation tasks from pre-launch testing through intensive in-orbit validation in the first two years and transition to long-term monitoring.
3) Examples of early tests and comparisons that will be done with internal instrument measurements, early solar views, and single days of Earth view data to evaluate performance.
Solaro_IGARSS_2011.ppt
The document summarizes research using SBAS-DInSAR (Small BAseline Subset differential interferometric synthetic aperture radar) techniques to analyze ground deformation at Mt. Etna volcano in Italy over the last 18 years using ERS and ENVISAT satellite data. The analysis revealed three main deformation processes: inflation of the volcanic edifice, subsidence of sectors on the eastern flank due to gravitational spreading, and deflation-inflation cycles associated with eruptive and post-eruptive activity. More recent analysis using higher resolution COSMO-SkyMed data from 2009-2010 detected deformation related to faults and a 2010 earthquake more precisely than lower resolution ENVISAT data.
Notarnicola_TH2_TO4.2.ppt
The document describes research on using COSMO-SkyMed satellite imagery to monitor snow cover in alpine regions over time. A multi-temporal approach is able to distinguish wet snow from no-snow areas with an accuracy that depends on factors like image thresholds and land cover. Time series of snow maps from COSMO-SkyMed images are compared to optical data, showing good agreement. Future work will analyze additional areas, polarizations, and sensors to improve dry snow detection and reduce uncertainty in the snow mapping.
TH3.TO4.3.ppt
The document describes a new algorithm for producing hemispherical snow water equivalent (SWE) products that assimilates weather station snow depth observations and spaceborne microwave data. The algorithm integrates snow clearance data and auxiliary forest coverage data to improve upon traditional methods. Over a 30-year time series, the assimilation of different data sources provides more accurate SWE estimates than interpolation alone, especially in areas with sparse weather station data. Validation shows the new product typically increases SWE accuracy compared to background kriging interpolation fields. The resulting 30-year SWE dataset for the Northern Hemisphere is available online.
TH4.TO4.2.ppt
This document summarizes a study that used multisensor fusion of altimetry data to monitor changes in ice sheets from 2003 to 2009. The study reconstructed spatial and temporal elevation changes across Greenland by combining satellite laser altimetry from ICESat with airborne laser data. Results showed complex patterns of thickening and thinning, with average rates of 257 km3/yr of ice sheet loss, equivalent to 232 Gt/yr of mass loss.
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model, a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calibrates microwave wetland surface emissivity and land emission model parameters to minimize differences between simulated and observed BT.
- Experiments showed the calibrated wetland emissivities transferred well to another location and improved soil moisture assimilation when used to assimilate AMSR-E BT data.
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model (CLM), a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calculates sub-grid land states from CLM, simulates BT from each patch, and calibrates wetland emissivity to minimize differences from observed BT.
- Results showed the calibrated wetland emissivities transferred well to another location and improved soil moisture estimates when assimilated using an ensemble Kalman filter
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model (CLM), a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calculates sub-grid land states from CLM, simulates BT from these states, and calibrates model parameters and wetland emissivity to minimize differences from observed AMSR-E BT.
- Experiments showed the calibrated wetland emissivities transferred well to another location and improved soil moisture estimates
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model (CLM), a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calculates sub-grid land states from CLM, simulates BT from these states, and calibrates model parameters and wetland emissivity to minimize differences from observed AMSR-E BT.
- Experiments showed the calibrated wetland emissivities transferred well to another location and improved soil moisture estimates
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model, a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calibrates parameters and wetland emissivity to minimize differences between simulated and observed BT. Calibrated wetland emissivities showed good transferability to another location.
- A soil moisture data assimilation system using the simulated BT data produced more accurate soil moisture estimates than the land model alone.
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model (CLM), a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calculates sub-grid land states from CLM, simulates BT from these states, and calibrates model parameters and wetland emissivity to minimize differences from observed AMSR-E BT.
- Experiments showed the calibrated wetland emissivities transferred well to another location and improved soil moisture estimates
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model (CLM), a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calibrates LandEM parameters and microwave wetland emissivity to minimize differences between simulated and observed BTs.
- Experiments showed the calibrated wetland emissivities transferred well to another location, and soil moisture assimilation using the simulated BT data improved estimates.
2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt
The document summarizes research on simulating satellite brightness temperature (BT) data using land surface models and observations. Key points:
- Researchers developed a two-phase system to simulate gridded AMSR-E BT data using the Community Land Model (CLM), a microwave emissivity model, and calibration with SCE-UA algorithm and AMSR-E observations.
- The system calculates sub-grid land states from CLM, simulates BT from these states, and calibrates model parameters and wetland emissivity to minimize differences from observed AMSR-E BT.
- Experiments showed the calibrated wetland emissivities transferred well to another location and improved soil moisture estimates
TU1.L10 - Globwave and applications of global satellite wave observations
The GlobWave project aims to improve the use of satellite-derived wind and wave data. It develops a web portal providing access to multi-sensor satellite wave data in a common format, demonstration products, and tools for comparing satellite and model wave data. The project is led by Logica and involves partners ESA, CNES, Ifremer, SatOC, CLS, and NOC.
WindSight Validation (March 2011)
This document validates the WindSight mesoscale wind modeling system. WindSight uses the WRF model to downscale global weather data and simulate wind conditions without pre-calculated data. Validation against measurements at 34 European sites found average errors below 1 m/s for 80% of sites. Wind roses and histograms also showed good agreement. The results prove WindSight useful for early-stage wind resource assessment and energy estimation when local data is limited.
Joint GWP CEE/DMCSEE training: Drought management by Gregor Gregorič and Andr...
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This document discusses drought monitoring and management in Slovenia and Southeast Europe. It provides an overview of the standardized precipitation index (SPI) used to monitor meteorological drought, as well as the use of numerical weather prediction models and remote sensing data to monitor drought indicators. Agrometeorological models are also used to assess drought risk and impacts on agriculture.TH1.T04.2_MULTI-FREQUENCY MICROWAVE EMISSION OF THE EAST ANTARCTIC PLATEAU_IG...
The document summarizes an experiment called Domex-2 that was conducted at Dome C, Antarctica between 2008-2010 to measure microwave emission from the East Antarctic plateau using ground-based and satellite instruments. Measurements from the Domex-2 radiometers showed high temporal stability of brightness temperatures at vertical polarization but more fluctuation at horizontal polarization as expected. Angular trends from Domex-2 matched well with data from the SMOS satellite. An electromagnetic model was developed and validated against the satellite and ground measurements, demonstrating the mechanisms controlling microwave emission from the ice sheet.
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
The document summarizes the goals and capabilities of the upcoming Global Precipitation Measurement (GPM) mission. GPM will provide next-generation global precipitation data products through a constellation of passive microwave sensors calibrated to the GPM Core Observatory's radar and radiometer. This will improve accuracy for light rain and snow and provide higher resolution and more frequent observations. Ground validation efforts and applications research are important to maximize the scientific and societal benefits of GPM precipitation data.
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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- 7. Daily SWE product: 15 February 2008 Northern Hemisphere
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- 18. Daily, weekly and monthly products April 2003 19 April 2003 10 April 2003 Optical data ~ 1km spatial resolution
- 19. Examples of monthly products, 2003 April 2003 May 2003 June 2003
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