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

共 354 条记录，以下是311-320 订阅

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A modeling approach for aerosol optical depth analysis during forest fire events

A modeling approach for aerosol optical depth analysis durin...

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conference on atmospheric and environmental remote sensing data processing and utilization

作者： Aubé, M O'Neill, NT Royer, A Lavoué, D Univ Sherbrooke CARTEL Sherbrooke PQ J1K 2R1 Canada

ISBN: (纸本)0819454869

Measurements of aerosol optical depth (AOD) are important indicators of aerosol particle behavior. Up to now the two standard techniques used for retrieving AOD are;(i) sun photometry which provides measurements of high temporal frequency and sparse spatial frequency, and (ii) satellite based approaches such as DDV (Dense Dark Vegetation) based inversion algorithms which yield AOD over dark targets in remotely sensed imagery. Although the latter techniques allow AOD retrieval over appreciable spatial domains, the irregular spatial pattern of dark targets and the typically low repeat frequencies of imaging satellites exclude the acquisition of AOD databases on a continuous spatio-temporal basis. We attempt to fill gaps in spatio-temporal AOD measurements using a new assimilation methodology that links AOD measurements and the predictions of a particulate matter Transport Model. This modelling package (AODSEM V2.0 for Aerosol Optical Depth Spatio-temporal Evolution Model) uses a size and aerosol type segregated semi-Lagrangian trajectory algorithm driven by analysed meteorological data. Its novelty resides in the fact that the model evolution may be tied to both ground based and satellite level AOD measurement and all physical processes have been optimized to track this important and robust parameter. We applied this methodology to a significant smoke event that occurred over the eastern part of North America in July 2002.

关键词： aerosol optical depth transport modeling remote sensing forest fires

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Distributed real-time operational products from AIRS

Distributed real-time operational products from AIRS

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conference on atmospheric and environmental remote sensing data processing and utilization

作者： Goldberg, MD Barnet, CD Wolf, W Zhou, L Divakarla, M NOAA NESDIS Off Res & Applicat Camp Springs MD USA

ISBN: (纸本)0819454869

Since October, 2002, NESDIS has provided specially tailored radiance and retrieval products derived from Aqua AIRS and AMSU-A observations operationally (24 hours x 7 days) to a number of Numerical Weather Prediction (NWP) centers, including NCEP, ECMWF and the UK Met. Office. Two types of products are available - thinned radiance data and full resolution retrieval products consisting of atmospheric temperature, moisture and ozone as well as surface parameters of temperature and emissivity. The radiances are thinned because of current limitations in communication bandwidth and computational resources at NWP centers. There are two types of thinning: a) spatial and spectral thinning, and b) data compression using principal component analysis (PCA). PCA is used for a) reconstructing radiances with the properties of reduced noise, b) independent instrument noise estimation, c) quality control, and d) deriving the retrieval first guess used in the AIRS processing software. The radiance products also include cloud cleared radiances. The cloud clearing procedure remove the effect of cloud contamination in partial overcast conditions and have been demonstrated to increase the amount of data that can be treated as clear from 5% to 50%. The AIRS temperature and moisture retrieval are significantly more accurate than AMSU-only retrievals in clear, cloud contaminated and cloud-cleared conditions. Most NWP centers are currently assimilating clear radiances, which we believe severely limits the impact of AIRS data. Fortunately, results presented in this paper have stimulated new upcoming experiments to test the impact of cloud-cleared radiances.

关键词： Clouds Principal component analysis Contamination data modeling MODIS data centers Infrared radiation Ozone Spectral resolution Microwave radiation

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USU global ionospheric data assimilation models

USU global ionospheric data assimilation models

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conference on atmospheric and environmental remote sensing data processing and utilization

作者： Schunk, RW Scherliess, L Sojka, JJ Thompson, DC Utah State Univ Ctr Atmospher & Space Sci Logan UT 84322 USA

ISBN: (纸本)0819454869

The USU global ionospheric data assimilation model is part of the Global Assimilation of Ionospheric Measurements (GAIM). This model uses a physics-based ionosphere-plasmasphere-polar wind model and a Kalman filter as a basis for assimilating a diverse set of real-time (or near real-time) measurements. Some of the data that are assimilated include in situ electron density measurements from the DMSP satellites, bottomside electron density profiles from the Air Force network of digisondes, GPS-TEC data from a network of more than 900 stations, and occultation data. GAIM provides specifications and forecasts on a spatial grid that can be global, regional, or local. The primary GAIM output is in the form of 3-dimensional electron density distributions from 90 kin to the geosynchronous altitude. GAIM also provides auxiliary parameters (NmF2, h(m)F(2), NmE, h(m)E, slant and vertical TEC) and global distributions of the self-consistent ionospheric drivers (neutral winds and densities, electric fields, and particle precipitation). In its specification mode, GAIM provides quantitative estimates for the accuracy of the reconstructed ionospheric densities. In addition to the physics-based, Kalman filter model, we have also developed a Gauss-Markov Kalman filter model. The status of the models and the relevant applications are discussed.

关键词： ionosphere thermosphere data assimilation Kalman filter total electron content UV radiances ionosondes. densities winds GPS/TEC

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Radiative properties of ice crystals within cirrus clouds: Application to remote sensing

Radiative properties of ice crystals within cirrus clouds: A...

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atmospheric and environmental remote sensing data processing and utilization: An End-to-End System Perspective

作者： Yang, Ping Wei, Heli Huang, Hung-Lung Baum, Bryan A. Hu, Yong X. Liou, K.N. Mishchenko, Michael I. Department of Atmospheric Sciences Texas A and M University College Station TX 7784 Coop. Inst. Meteorol. Satellite S. University of Wisconsin-Madison West Dayton Street Madison WI 53706 NASA Langley Research Center Hampton VA 23681 Department of Atmospheric Sciences University of California Los Angeles CA 90095 NASA Goddard Inst. for Space Studies New York NY 10025

Ice clouds have been identified as one of the most uncertain components in atmospheric research. In recent years, the atmospheric radiative transfer and remote sensing community has made a concerted effort to improve the characterization of cirrus clouds. A number of airborne and balloon-borne observations have demonstrated that cirrus clouds are essentially composed of nonspherical ice crystals with various habits (or shapes) and sizes. In this paper, we report on some recent progresses towards the computation of the single-scattering properties nonspherical ice crystals and the relevant applications to remote sensing and radiative transfer simulations. Specifically, we have developed a database of the optical properties of ice crystals at the infrared wavelengths. In conjunction with the application of the scattering database, we also developed a fast infrared transfer model under cirrus cloudy condition, which is applied to the retrieval of ice clouds from satellite-based infrared measurements.

关键词： atmospheric radiation

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Quantifying effects of lossy data compression on animation from geosynchronous imagers

Quantifying effects of lossy data compression on animation f...

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atmospheric and environmental remote sensing data processing and utilization: An End-to-End System Perspective

作者： Puschell, Jeffery J. Miller, Shawn W. Raytheon Space and Airborne Systems 2000 East El Segundo Blvd. El Segundo CA 90245 Raytheon Intell. and Info. Systems Aurora CO 80011 Raytheon Space and Airborne Systems 2000 East El Segundo Blvd. El Segundo CA 90245 United States

Video quality metrics can be used to optimize design of advanced geosynchronous remote sensors by providing a basis for comparing information content of video at different data rates for given video sequences and compression methods and to optimize operation of future remote sensing systems by testing and monitoring quality of data collected by these systems. This paper examines and compares video quality metrics in three broad categories: distortion-based metrics that provide objective performance measures, perception-based metrics that attempt to quantify differences in images that are visible to the human visual system and utility-based metrics that address video quality for specific applications. Candidate figures of merit for describing effects of data compression on quality of video sequences or animation derived from geosynchronous imagers are presented along with recommendations for future work.

关键词： data compression

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Future data requirements of operational space weather systems

Future data requirements of operational space weather system...

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atmospheric and environmental remote sensing data processing and utilization: An End-to-End System Perspective

作者： Crain, David J. ITT Industries A/CD Fort Wayne IN 46801

As Space Weather makes the transition from a research to an operational mode, the need for reliable and relevant datasets will be of paramount importance. Good research data will not necessarily be good operational data, we will discuss some reasons why. The first order data inputs required for the developing suite of Space Weather Forecast models (GAIM, CISM, EPPIM, etc) need to be identified at an early stage so that adequate observational networks (space and ground based) can be put into place. Lessons learned from decades of operational meteorological forecast systems should be applied. Ranking, relevance and cost-benefit decisions need to be performed on each component of the Operational Space Weather system to insure that the maximum amount of capability is obtained at a reasonable cost. We will examine a range of proposed space weather data inputs and attempt to apply these criteria to each of them.

关键词： Space surveillance

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Specificity of use the data of remote sensing AVHRR and MODIS in tasks of detecting of fires.

Specificity of use the data of remote sensing AVHRR and MODI...

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conference on remote sensing for environmental Monitoring, GIS Applications and Geology III

作者： Moiseev, EE Lapukhov, SA Glushkova, NV Dobretsov, NN Russian Acad Sci Siberian Branch Trofimuk United Inst Geol Geophys & Mineral Novosibirsk 630090 Russia

ISBN: (纸本)0819451223

In 1998 it has been organized the service which uses remote sensing data (RSD) processing techniques for monitoring and prediction of the fire situation on the basis of the West-Siberian Regional Centre of Reception and data processing (WS RCRDP), at the participation of the Novosibirsk Regional Center of Geoinformation Technologies (NRCGIT SB RAS). Accuracy of referencing for the Novosibirsk region is up to 1 pixel (satellite NOAA-14, sensor AVHRR, space resolution is 1 km). Thin plate spline is used for received NOAA images georeference correction. Currently the data of the MODIS sensor from the Terra satellite is accessible A hot spot coordinates determination accuracy on images received after the geometrical correction is less then one pixel (up to 1 km) and in the case of higher resolution channels utilization is less then one quarter of the pixel (up to 250m) A whole system of the forest fires monitoring consists of two independent parts: "component of RSD processing" and "GIS-component". The "component of RSD processing" performs: data reprocessing (calibration, image georeferencing) and hotspots detection. The "GIS-component" is intended for secondary data processing. The input data is analyzed by the overlay analysis of the fire seats geometry. Formation of reports and processing results archiving are also performed. End users derive data not in physical coordinates "latitude-longitude", but in their standard forest management system nomenclature-"Forestry-forest area-wood block". This lightens utilization of the derived result of the processing by forest-guards. It is also planned to develop the module which performs an estimation of the damage, inflicted by forest fires.

关键词： MODIS AVHRR forest fire detection

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Predictive partitioned vector quantization for hyperspectral sounder data compression

Predictive partitioned vector quantization for hyperspectral...

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atmospheric and environmental remote sensing data processing and utilization: An End-to-End System Perspective

作者： Huang, Bormin Ahuja, Alok Huang, Hung-Lung Schmit, Timothy J. Heymann, Roger W. CIMSS University of Wisconsin Madison NOAA Natl. Environ. Satellite Data/I.S.

The compression of three-dimensional hyperspectral sounder data is a challenging task given its unprecedented size and nature. Vector quantization (VQ) is explored for the compression of this hyperspectral sounder data. The high dimensional vectors are partitioned into subvectors to reduce codebook search and storage complexity in coding of the data. The partitions are made by use of statistical properties of the sounder data in the spectral dimension. Moreover, the data is decorrelated at first to make it better suited for vector quantization. Due to the data characteristics, the iterative codebook generation procedure converges much faster and also leads to a better reconstruction of the sounder data. For lossless compression of the hyperspectral sounder data, the residual error and the quantization indices are entropy coded. The independent vector quantizers for different partitions make this scheme practical for compression of the large volume 3D hyperspectral sounder data.

关键词： data compression

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AVHRR data processing for near real time applications

AVHRR data processing for near real time applications

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conference on remote sensing for environmental Monitoring, GIS Applications and Geology III

作者： Marçal, ARS Nunes, A Borges, J Univ Porto Fac Ciencias DMA P-4169007 Oporto Portugal

ISBN: (纸本)0819451223

Polar orbiting satellites with low spatial resolution sensors, such as the AVHRR, provide repeated global coverage of the Earth. The data is directly transmitted to ground stations, and in some cases distributed immediately after the data acquisition. Near real time applications can be implemented if the adequate processing tools are available. This paper presents a near real time processing system, developed for NOAA/AVHRR data acquired from the Dundee satellite station. The system performs image calibration, geometric corrections and atmospheric corrections with minimum operator intervention. The geometric corrections consist of an orbital-based correction refined by the automatic identification of Ground Control Points (GCPs) by image matching. The atmospheric correction is based on simulations performed on the 6S radiative transfer code using a set of typical and expected values for the most significant parameters. An attempt to evaluate the error associated with the simplified atmospheric correction method was carried out. As an illustration, 3 AVHRR images from NOAA 16 were processed. The ranges of values encountered for the most relevant parameters were analysed. The range and average values for the reflectance channels 1 and 2 with and without the atmospheric correction are compared. These were used to produce standard Normalized Difference Vegetation Index (NDVI) images and atmospheric corrected NDVI images.

关键词： AVHRR atmospheric corrections 6S geometric corrections automatic processing

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Lossless compression of 3D hyperspectral sounder data using the wavelet and Burrows-Wheeler transforms

Lossless compression of 3D hyperspectral sounder data using ...

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atmospheric and environmental remote sensing data processing and utilization: An End-to-End System Perspective

作者： Wei, Shih-Chieh Huang, Bormin Department of Information Management Tamkang University Tamsui 25137 Taiwan CIMSS University of Wisconsin-Madison Madison WI 53706 United States

Hyperspectral sounder data is used for retrieval of useful geophysical parameters which promise better weather prediction. It features two characteristics. First it is huge in size with 2D spatial coverage and high spectral resolution in the infrared region. Second it allows low tolerance of noise and error in retrieving the geophysical parameters where a mathematically ill-posed problem is involved. Therefore compression is better to be lossless or near lossless for data transfer and archive. Meanwhile medical data from X-ray computerized tomography (CT) or magnetic resonance imaging (MRI) techniques also possesses similar characteristics. It provides motivation to apply lossless compression schemes for medical data to the hyperspectral sounder data. In this paper, we explore the use of a wavelet-based lossless data compression scheme for the 3D hyperspectral data which uses in sequence a forward difference scheme, an integer wavelet transform, a Burrows-Wheeler transform and an arithmetic coder. Compared to previous work, our approach is shown to outperform the CALIC and 3D EZW schemes.

关键词： data compression

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