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检索条件"任意字段=Conference on Atmospheric and Environmental Remote Sensing Data Processing and Utilization"

共 353 条记录，以下是61-70 订阅

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Long-term trends of atmospheric aerosol concentrations over Western Siberia

Long-term trends of atmospheric aerosol concentrations over ...

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atmospheric and environmental remote sensing data processing and utilization: Numerical atmospheric Prediction and environmental Monitoring

作者： Sudarchikova, Natalia V. Institute of Atmospheric Optics Siberian Branch Russian Academy of Sciences Tomsk Russia Laboratory of Optical Weather Institute of Atmospheric Optics RAS 1 Akademicheskii Avenue Tomsk 634055 Russia

The data on spatial aerosol distribution over Western Siberia are obtained by airborne laboratory during 1983 - 1989 and 1997 - 2003. Analysis of the samples allows us to reveal time variability of the aerosol content in the lower and middle troposphere. The concentrations of Si, Al, Fe, Mg, Ca, Ti, Cu, Mn, Cr, Pb, and Ni elements, K+, Na+, Cl-, SO 42-, NO3-, and NH4 + ions, and their vertical profiles are calculated. The seasonal variability of characteristics of atmospheric aerosol concentration is also estimated.

关键词： atmospheric aerosols

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Detection of industrial gaseous chemical plumes using hyperspectral imagery in the emissive regime

Detection of industrial gaseous chemical plumes using hypers...

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atmospheric and environmental remote sensing data processing and utilization: Numerical atmospheric Prediction and environmental Monitoring

作者： Farrell Jr., Michael D. Mersereau, Russell M. Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA 30332 United States

For the past ten years, much of the research in hyperspectral image data exploitation techniques has been focused on detection of ground targets. As a passive remote sensing technique, hyperspectral imagers have performed reasonably well in detecting the presence of a variety of objects;from crop species to land mines to mineral deposits to vehicles under camouflage. These often promising results have prompted new studies of hyperspectral remote sensing for other applications - including atmospheric monitoring. Should technologies like hyperspectral imaging prove effective in emission source monitoring, organizations interested in environmental assessment could transition from inspection using hand-held analytical instruments to a truly standoff technique. In this paper, we evaluate the utility of a set of hyperspectral exploitation techniques applied to the task of gas detection. This set of techniques is a sampling of approaches that have appeared in the literature, and all of the methods discussed have demonstrated utility in the reflective regime. Specifically, we look at signature-based detection, anomaly detection, transformations (i.e. rotations) of the spectral space, and even dedicated band combinations and scatter plots. Using real LWIR hyperspectral data recently collected on behalf of the US environmental Protection Agency, we compare performance in detecting three different industrial gases.

关键词： remote sensing

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Validation of satellite-based soil moisture algorithms

Validation of satellite-based soil moisture algorithms

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atmospheric and environmental remote sensing data processing and utilization II: Perspective on Calibration/Validation Initiatives and Strategies

作者： Jackson, Thomas J. USDA ARS Hydrology and Remote Sensing Laboratory 104 Bldg. 007 BARC-West Beltsville MD 20705

ISBN: (纸本)0819463809

Validation is an important but particularly challenging task for passive microwave remote sensing of soil moisture from Earth orbit. The key issue is spatial scale;conventional measurements of soil moisture are made at a point whereas satellite sensors provide an integrated area/volume value for a much larger spatial extent. For microwave remote sensing from space it is necessary to consider the kilometer to 40 km scale, which presents new challenges. This issue of spatial scale is common to both current and future satellite missions. Regardless of the degree of difficulty, ground based sampling must remain a core component of validation. An integrated approach using in situ networks, field campaigns and comparison to other satellite products is described.

关键词： environmental engineering

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Soil moisture retrieval from WindSat using the single channel algorithm toward a blended global soil moisture product from multiple microwave sensors

Soil moisture retrieval from WindSat using the single channe...

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conference on atmospheric and environmental remote sensing data processing and utilization IV - Readiness for GEOSS II

作者： Liu, Jicheng Zhan, Xiwu Jackson, Thomas J. NOAA NESDIS STAR IMSG 5200 Auth Rd Camp Springs MD 20746 USA NOAA NESDIS STAR Camp Springs MD 20746 USA USDA ARS Hydrol & Remote Sensing Lab Beltsville MD 20705 USA

ISBN: (纸本)9780819473059

Soil moisture has long been recognized as one of the critical land surface initial conditions for numerical weather, climate hydrological predictions, particularly for transition zones between dry and humid climates. However, none of the currently existing soil moisture products has been used operationally in these models, because of their consistency and reliability issues. A consistent and qualitatively reliable global soil moisture product is thus in desire to make good use of observations from different microwave sensors, such as AMSR-E, WindSat and TMI. This study explores the potential of WindSat data for producing such a product using the single channel algorithm (SCA) for soil moisture retrieval in conjunction with field observations for calibrating the algorithm and for validation. The preliminary results show good agreement between the results from WindSat and NASA AMSR-E product both in terms of spatial pattern and magnitude. The validation results show that the differences between the retrieved soil moisture from WindSat data and the ground measurements are below 0.05 (vol/vol) in most cases, meaning a great potential of WindSat data for producing a blended product. Further cross calibration between the brightness temperatures from different sensors might be needed for producing such a blended product.

关键词： Soil moisture microwave remote sensing single channel retrieval algorithm WindSat AMSR-E TMI

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Overview of NOAA's hyper-spectral sounding data, communication, and compression activities

Overview of NOAA's hyper-spectral sounding data, communicati...

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conference on atmospheric and environmental remote sensing data processing and utilization

作者： Heymann, RW Schmith, TJ NOAA Natl Environm Satellite Data & Informat Serv Off Syst Dev Silver Spring MD 20910 USA

ISBN: (纸本)0819454869

Instruments on the next generation operational GOES will generate an expected 50 times greater amount of data than their predecessors on today's GOES. Part of this increase is due to the high-spectral resolution data from the Hyperspectral environmental Suite (HES). The data increase led to the need to research the impact to the GOES satellite's end-to-end communication system, and research compression of hyper-spectral sounder sensor data. The compression research, in mathematics includes, but is not limited to, wavelets, principal components, adaptive clustering, empirical mode decomposition. The high data rates require additional RF spectrum, in the congested 8025-8400 MRZ band X-band. Congestion in the geo orbit X and L-bands mandate extensive efforts to control out-of-band RF emissions. The need for communication signal data quality with few errors (low BER) is essential for NOAA science use. Limited bandwidth and the need to be efficient in bandwidth use, force the consideration of bandwidth efficient modulations. These communication issues force the use of the latest technologies. The research has shown that GOES will be able to downlink all of the future sensor data, and could continue to be used as a communication satellite to distribute large volumes of its sensor information to U.S. and foreign users.

关键词： GOES communications hyperspectral sounder compression satellite spectrum

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environmental satellite data utilization: Determination of wind vectors by tracking features on sequential moisture analyses derived from hyperspectral IR satellite soundings

Environmental satellite data utilization: Determination of w...

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conference on atmospheric and environmental remote sensing data processing and utilization

作者： Velden, C Univ Wisconsin Cooperat Inst Meteorol Satellite Studies Madison WI 53706 USA

ISBN: (纸本)0819454869

Traditional methods for deriving wind vectors from sequential geostationary satellite imagery involve the tracking of coherent clouds and moisture features in single channels (spectral bands). While this data source has proven to be important to global wind analyses, the approach is limited in two major ways: 1) The heights assigned to the vectors are not precise, leading to problems in data assimilation, and 2) Vertical profiles of the wind at a given geo-location are not provided, adding further stress to objective data assimilation (difficulty with single-level observations). A new approach to deriving winds from sequential satellite observations is being advanced at CIMSS. The method utilizes the same basic automated tracking code developed at CIMSS, however the input to the algorithm is in the form of constant-level moisture analyses derived from hyperspectral sounding information. Since the altitude of the features being tracked are already determined by the soundings/analyses, the height assignment ambiguities associated with the traditional approaches are ameliorated. Furthermore, the hyperspectral infrared (IR) information provides detailed vertical profiles of moisture where there are no clouds. This allows analyses of moisture at multiple vertical levels, which can then be used in an attempt to retrieve vertical profiles of wind. To date, the new scheme has been trialed on simulated data from GIFTS, and on one case of real data from airborne observations provided by the NAST-I instrument. From these first attempts, the "proof of concept" is successfully illustrated, and will be shown in the presentation.

关键词： Satellites Clouds Algorithm development Meteorological satellites Detection and tracking algorithms Device simulation Earth observing sensors Satellite imaging data processing Wind measurement

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In-flight performance of the infrared atmospheric sounding interferometer (IASI) on METOP-A

In-flight performance of the infrared atmospheric sounding i...

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conference on atmospheric and Enviromental remote sensing data processing and utilization III: Readiness for GEOSS

作者： Blumstein, D. Tournier, B. Cayla, F. R. Phulpin, T. Fjortoft, R. Buil, C. Ponce, G. CNES CST 18 Ave Edouard Belin F-31401 Toulouse 9 France NOVELTIS F-31526 Ramonville St Agne France SISCLE F-11000 Felines Termenes France

ISBN: (纸本)9780819468321

The Infrared atmospheric Sounding Interferometer (IASI) is a key element of the payload embarqued on METOP series of European meteorological polar-orbit satellites. IASI will provide very accurate data about the atmosphere, land and oceans for application to weather predictions and climate studies. IASI measurements will allow to derive temperature and humidity profiles with a vertical resolution of one kilometer and an average accuracy of one Kelvin and 10 % respectively. The IASI measurement technique is based on passive IR remote sensing using a precisely calibrated Fourier Transform Spectrometer operating in the 3.7 - 15.5 mu m region and an associated infrared imager operating in the 10.3-12.5 mu m region. The optical configuration of the sounder is based on a Michelson interferometer. Interferograms are processed by the onboard digital processing subsystem which performs the inverse Fourier Transform and the radiometric calibration. The integrated infrared imager allows the coregistration of the IASI soundings with AVHRR imager onboard METOP. The first METOP satellite was successfully launched on 19(th) of October 2006. This paper summarizes the IASI instrument radiometric, spectral and geometric performance as measured in orbit during the Calibration and Validation Phase. Instrument noise, spectral and radiometric calibration stability and spatial pointing accuracy are discussed as well as the performance of the Level 1 processing chain.

关键词： sounder IASI METOP EPS calibration in-flight spectrometer FTS

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Routine detection and mitigation of dust using AIRS

Routine detection and mitigation of dust using AIRS

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atmospheric and environmental remote sensing data processing and utilization: Numerical atmospheric Prediction and environmental Monitoring

作者： De Souza-Machado, S. Larrabee Strow, L. Hannon, S.E. Motteler, H.E. University of Maryland Baltimore County Physics Department Baltimore MD 21228

The atmospheric Infrared Sounder (AIRS) has been operating since Sept. 2002 and AIRS radiance data is being used operationally by several weather centers. A significant fraction of AIRS observations are contaminated by dust blowoff from arid areas. The almost continous spectral coverage of AIRS in both the 10-12 and 3.7 micron atmospheric windows allows excellent detection of the presence of dust. Dust signals can often survive the cloudclearing process used in the retrieval system for AIRS, thereby contaminating the low-altitude temperature and water vapor retrieval products. We present techniques being developed to both operationally detect and mitigate the effects of dust on AIRS retrieval products.

关键词： remote sensing

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Component-oriented design studies for efficient processing of hyperspectral infrared imager data

Component-oriented design studies for efficient processing o...

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conference on atmospheric and environmental remote sensing data processing and utilization

作者： Garcia, RK Smuga-Otto, MJ Univ Wisconsin Ctr Space Sci & Engn Madison WI 53706 USA

ISBN: (纸本)0819454869

Future meteorological sounding instrumentation for aircraft and satellite platforms will include hyperspectral imaging infrared spectrometers with high time and space resolution, capable of providing terabytes of raw data per day. In tandem with the development of the instruments themselves, corresponding software must be architected to be capable of timely, efficient and accurate processing of the raw data produced. Design candidates for such a software architecture must respond to use cases including deployment in large-scale distributed production environments with stringent reliability specifications;phasing of research algorithms through testing and validation into production use;marshalling of data product views to metadata-aware analysis and archival systems;maintenance of software supporting multiple similar instrument systems over the course of decades;and most importantly, delivery of fully annotated datasets to end-users with real-time latencies. Consistent techniques in the specification and propagation of metadata for both algorithm software and data content are of paramount concern in manipulating large quantities of data over long stretches of time. Further, long-term maintainability and cost-effectiveness of the system can be assured by improving reusability of both systems software and science software, through defining well-specified interfaces for software components and implementing automated mechanisms for integration and testing. We illustrate current design work, avenues of research and lessons learned on a software component architecture and corresponding development practices addressing the aforementioned concerns.

关键词： databases Calibration data processing Matrices Control systems Telecommunications Aerospace engineering data archive systems data modeling Satellites

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Using AIRS and IASI data to evaluate absolute radiometric accuracy and stability for climate applications

Using AIRS and IASI data to evaluate absolute radiometric ac...

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conference on atmospheric and environmental remote sensing data processing and utilization IV - Readiness for GEOSS II

作者： Aumann, Hartmut H. Pagano, Thomas S. CALTECH Jet Prop Lab Pasadena CA 91109 USA

ISBN: (纸本)9780819473059

The creation of multi-decadal data sets for climate research requires better than 100 mK absolute calibration accuracy for the full range of spectral temperatures encountered under global conditions. Validation that this accuracy is achieved by the operational hyperspectral sounders from polar orbit is facilitated by comparing data from two instruments. Extreme radiometric calibration stability is critical to allow a long time series of noisy, but presumably long-term accurate truth measurements to be used for the validation of absolute accuracy at the 100 mK level. We use the RTGSST in the tropical oceans as ground truth. The difference between the AIRS derived sst2616 and the RTGSST based on six years of data shows a systematic cold bias of about 250 mK, but better than 4 mK/year stability. The double difference between AIRS and the RTGSST and IASI and the RTGSST with less than one year of data already allows statements at the 100 mK absolute level. It shows a 60 mK difference between the AIRS and the IASI calibration at 2616 cm(-1) and 300 K, with a statistically insignificant 20 mK shift in six months.

关键词： Hyperspectral infrared polar orbiter EOS Aqua Metop-A calibration

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