检索结果-内蒙古大学图书馆

conference on atmospheric and environmental remote sensing data processing and utilization

作者： Goodman, HM Regner, K Conover, H Ashcroft, P Wentz, F Conway, D Lobl, E Beaumont, B Hawkins, L Jones, S NASA George C Marshall Space Flight Ctr Huntsville AL 35812 USA

ISBN: (纸本)0819454869

The National Aeronautics and Space Administration established the framework for the Science Investigator-led processing Systems (SIPS) to enable the Earth science data products to be generated by personnel directly associated with the instrument science team and knowledgeable of the science algorithms. One of the first instantiations implemented for NASA was the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) SIPS. The AMSR-E SIPS is a decentralized, geographically distributed ground data processing system composed of two primary components located in California and Alabama. Initial science data processing in the U.S. is conducted at remote sensing Systems (RSS) in Santa Rosa, California. RSS ingests antenna temperature orbit data sets from the Japanese Aerospace Exploration Agency and converts them to calibrated, resampled, geolocated brightness temperatures. The brightness temperatures are sent to the Global Hydrology and Climate Center in Huntsville, Alabama, which generates the geophysical science data products (e.g., water vapor, sea surface temperature, sea ice extent, etc.) suitable for climate research and applications usage. These science products are subsequently sent to the National Snow and Ice data Center Distributed Active Archive Center in Boulder, Colorado for archival and dissemination to the at-large science community. This paper describes the organization, coordination and production techniques employed by the AMSR-E SIPS in implementing, automating and operating the distributed data processing system.

关键词： AMSR-E aqua NASA passive microwave radiometer science data processing SIPS UAH

来源：评论

学校读者我要写书评

暂无评论

Geophysical validation of WINDSAT surface wind data and its impact on numerical weather prediction

Geophysical validation of WINDSAT surface wind data and its ...

引用

conference on atmospheric and environmental remote sensing data processing and utilization II

作者： Atlas, Robert Reale, O. Ardizzone, J. Terry, J. Jusem, J-C. Brin, E. Bungato, D. Woiceshyn, P. NOAA Atlantic Oceanog & Meteorol Lab Miami FL 33149 USA Univ Maryland Baltimore Cty Goddard Earth Sci & Technol Ctr Baltimore MD 21228 USA Sci Applicat Int Corp NASA GSFC Greenbelt MD 22102 USA

ISBN: (纸本)0819463809

A detailed evaluation of the latest version of WINDSAT surface wind data has recently been performed to determine the quality of these data and their usefulness for ocean surface wind analysis and numerical weather prediction. The first component of this evaluation consisted of both subjective and objective comparisons of WINDSAT wind vectors to other sources of ocean surface winds (eg. ship and buoy observations, Quikscat satellite winds, or model derived wind analyses). This was followed by data impact experiments using a variational surface wind analysis, as well as an operational four-dimensional data assimilation system. The results of this evaluation demonstrate the usefulness of WINDSAT data, but also show deficiencies relative to current scatterometer measurements.

关键词： data modeling Satellites Antennas Backscatter atmospheric modeling data centers Microwave radiation Earth observing sensors Meteorology Scatter measurement

来源：评论

学校读者我要写书评

暂无评论

NPOESS Direct Readout Mission

NPOESS Direct Readout Mission

引用

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

作者： Van De Wouw, John A. Overton, John W. Coronado, Patrick Northrop Grumman Space Technology Redondo Beach CA 90728 NPOESS Integrated Program Office Silver Spring MD 20910 NASA Goddard Direct Readout Lab. Greenbelt MD 20771

Preparing for the next generation polar orbiting environmental satellite system, the NPOESS system is currently undergoing the design phase of the Program. The NPOESS Direct Readout Mission will service users in the field providing regional environmental coverage with two direct broadcast links, high rate data (HRD) at 20 Mbps and low rate data (LRD) at 3.88 Mbps. Contained within these two links are the suite of sensor data in order to generate 50 HRD and 29 LRD weather products via the NPOESS Field Terminal Segment software being developed for distribution to the weather community or by value added resellers.

关键词： remote sensing

来源：评论

学校读者我要写书评

暂无评论

Using in-situ satellite data to describe global scale variations in space weather

Using in-situ satellite data to describe global scale variat...

引用

conference on atmospheric and environmental remote sensing data processing and utilization

作者： Heelis, RA Hairston, MR Coley, WR Univ Texas Richardson TX 75083 USA

ISBN: (纸本)0819454869

Quite frequently visible and uv imagery of the ionosphere and upper atmosphere is used to describe the global scale characteristics of ion density and composition. This invaluable data can be obtained from satellites at very high altitude, providing a complete global picture at modest scale sizes, or from low Earth orbit, where a more restricted view with higher spatial resolution is possible. Here we describe how in-situ data obtained from low Earth orbit can be visualized in a manner similar to optical emission data. With this approach global scale variations of key parameters like plasma temperature and ion velocity can be added to those of composition and density to reveal the evolution of the system in response to external drivers. During times of high magnetic activity the links between key parameters over large temporal and spatial scales can be easily visualized and cuts through the images reveal details that can be used in more quantitative descriptions.

关键词： ionosphere thermosphere ion concentration ion velocity

来源：评论

学校读者我要写书评

暂无评论

remote sounding of trace gases with the EOS/AIRS instrument

Remote sounding of trace gases with the EOS/AIRS instrument

引用

conference on atmospheric and environmental remote sensing data processing and utilization

作者： Barnet, CD Goldberg, M McMillin, L Chahine, MT NOAA NESDIS ORA Camp Springs MD 20746 USA

ISBN: (纸本)0819454869

The AIRS instrument was launched on the Aqua satellite in May of 2002. In addition to the core level 2 products, that include cloud cleared radiances;temperature, moisture, and ozone profiles;surface skin temperature;NDVI (from AIRS visible channels);surface spectral emissivity and reflectivity;and cloud products, the AIRS science team is also developing research algorithms for the retrieval of carbon monoxide (CO), methane (CH4), and carbon dioxide (CO2). These algorithms are being tested by the National Oceanographic and Atmosphere Administration (NOAA) National environmental Satellite, data, and Information Service (NESDIS) in simulation and applied to real AIRS radiances. The trace gas retrievals require cloud free infrared radiances. In practice, we observe that AIRS measurements without cloud contamination occur less than 5% of the time. A key feature of the AIRS algorithm is the utilization of cloud cleared radiances that removes the effects of clouds and increases the yield of trace gas products to 50-60%. The increased yield should allow a better assessment of sources and sinks of these gases. Determination of sources and sinks of these trace gas requires an unprecedented precision for a remote sounding measurement. In addition, both the variability and errors in the trace gas products tend to be correlated with variability and errors in other products (e.g., clouds, temperature, moisture, and ozone profile). Multi-spectral, high-resolution measurements can minimize the effects of this correlation. Currently, for the AIRS products, we estimate a precision of 15% for CO, 0.5% for CO2 and 1% for CH4. The remote sounding methodology for these trace gases is discussed in detail. The METOP IASI and NPOESS CrIS instruments can extend the continuity of these trace gas products over the next two decades. Simulation experiments are used to assess the relative performance of the trace gas retrievals from these sounders.

关键词： AIRS IASI CrIS remote sensing

来源：评论

学校读者我要写书评

暂无评论

A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis

引用

INTERNATIONAL JOURNAL OF remote sensing 2017年第8-10期38卷 3101-3112页

作者： Yu, Xiang Liu, Qing Liu, Xin Liu, Xiangyang Wang, Yebao Chinese Acad Sci Key Lab Coastal Zone Environm Proc Yantai Peoples R China Shandong Prov Key Lab Coastal Zone Environm Proc Yantai Peoples R China Chinese Acad Sci Yantai Inst Coastal Zone Res Yantai 264003 Peoples R China Qingdao Agr Univ Coll Resources & Environm Qingdao Peoples R China

Unmanned aerial vehicles (UAVs)-based environmental studies are gaining space in recent years due to their advantages of minimal cost, flexibility, and very high spatial resolution. Researchers can acquire imagery according to their schedule and convenience with the option of alternating the sensors working in visible, infrared, and microwave wavelengths. The recent developments in UAVs and in the associated image-processing techniques extend the fields of UAVs application. Inherent geometric deformation of UAVs images inevitably leads to burgeoning interest in exploring the geographical registration techniques of UAVs images preprocessing. However, atmospheric correction had been generally neglected due to the low altitudes of UAVs platforms. The path radiance of low-latitude atmosphere misleads the reflectance of target objects. Thus, a valid atmospheric correction is essential in the cases where vegetation indices (VIs) are adopted in vegetation monitoring. The off-the-shelf atmospheric correction algorithms adopted in satellite-based remote sensing are typically ill-suited for UAVs-based images due to the distinctly different altitudes and radiation transfer modes. This article identified the effect of atmospheric attenuation for spectral data collected by UAVs sensors of different altitudes and developed a physical-based atmospheric correction algorithm of UAVs images. Field-measured reflectance spectrum was essential in modelling. A sunny and dry day and a flat terrain were the two prerequisites to ensure the general application of the developed algorithm. A case study was subsequently carried out to verify the utility of the developed algorithm, and the results showed that VIs based on the UAVs images of different altitudes had a similar ability in vegetation assessment as groundbased recordings. However, the assessment accuracy could be clearly improved by using the developed atmospheric correction algorithm.

关键词： VEGETATION monitoring remote sensing in environmental monitoring DRONE aircraft IMAGE processing NORMALIZED difference vegetation index atmospheric attenuation REFLECTANCE spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Validation of the on-board radiometric calibration of the GOES I-M visible channel by reflectance-based vicarious methods

Validation of the on-board radiometric calibration of the GO...

引用

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

作者： Leisso, Nathan P. Thome, Kurtis J. Czapla-Myers, Jeffrey S. Univ Arizona Coll Opt Sci Remote Sensing Grp Tucson AZ 85721 USA

ISBN: (纸本)9780819468321

The current generation of the Geostationary Operations environmental Satellite (GOES) platform employs a total of 5 sensors to monitor and record atmospheric conditions used in predictions of upcoming weather events. Included in this package is a 5-band imager that, from the 36,000-km geosynchronous orbit inhabited by GOES platform, enables multiple fixed full-disc surface images of the earth during the course of a 24-hour day. There is currently no on-board radiometric calibration for the visible bands of the imager and radiometric calibration relies on vicarious approaches. The remote sensing Group (RSG) at the University of Arizona uses a vicarious approach that relies on ground-based measurements to determine the radiometric calibration for multiple sun-synchronous and airborne visible and near-infrared sensors. The current work extends the approach to the GOES I-M series of sensor. The paper presents the methods and results of the reflectance-based method applied to the 1-km visible channel of GOES-11 using large North American high-desert test sites. Modifications to the RSG's methods to take into account the location of the test sites at large zenith angles within the full-disk GOES image. The work provides an opportunity to evaluate uncertainties of the spectral BRF of the test sites at large view angles and resulting importance to the accurate radiometric calibration of a sensor. In addition, the impact of increased path length caused by the large view angle is evaluated with an emphasis on the increased effect of the atmospheric characterization.

关键词： GOES-11 vicarious calibration radiometric calibration atmospheric characterization BRDF

来源：评论

学校读者我要写书评

暂无评论

Using IASI Observations to Resolve HIRS Spectral Response Function Induced Intersatellite Biases

Using IASI Observations to Resolve HIRS Spectral Response Fu...

引用

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

作者： Cao, Changyong Goldberg, Mitch Wang, Likun NOAA NESDIS ORA Camp Springs MD 20746 USA

ISBN: (纸本)9780819473059

There are significant challenges in making the observations from HIRS (High Resolution Infrared Radiation Sounder) on the 13+ satellites consistent for climate change detection. It is well known that for HIRS, the inter-satellite biases are significantly affected by differences in the spectral response functions (SRF) between instruments, since they often lead to observations of the atmosphere at different altitudes. The SRF dependent biases are further mixed with other effects such as the diurnal cycle due to observation time differences and orbital drifts, blackbody emissivity, and calibration algorithms. In this study, the IASI (Infrared atmospheric Sounding Interferometer) observations are used to calculate the HIRS radiances by convolving the IASI observed radiances with the SRF of each HIRS model across different climate zones in different seasons, which separates the SRF induced intersatellite biases from other factors. It is found that the calculated radiance ratios using IASI observations for the HIRS satellite pairs form bell shaped curves that vary with the HIRS model, channel, as well as climate zones. Understanding the characteristics of these bell curves are essential for resolving the SRF dependent intersatellite biases and the development of fundamental climate data records from HIRS.

关键词： HIRS IASI Spectral Response historical NOAA satellites Fundamental Climate data Records

来源：评论

学校读者我要写书评

暂无评论

Implementation of a global-scale operational data assimilation system for satellite-based soil moisture retrievals

Implementation of a global-scale operational data assimilati...

引用

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

作者： Bolten, J. Crow, W. Zhan, X. Reynolds, C. USDA ARS Hydrol & Remotes Sensing Lab Bldg 007 BARC W Beltsville MD 20705 USA NOAA NESDIS Ctr Satellite Applicat & Res Camp Springs MD 20746 USA USDA FAS Prod Estimate & Crop Assessment Div Washington DC 20250 USA

ISBN: (纸本)9780819473059

Timely and accurate monitoring of global weather anomalies and drought conditions is essential for assessing global crop conditions. Soil moisture observations are particularly important for crop yield fluctuations provided by the US Department of Agriculture (USDA) Production Estimation and Crop Assessment Division (PECAD). The current system utilized by PECAD estimates soil moisture from a 2-layer water balance model based on precipitation and temperature data from World Meteorological Organization (WMO) and US Air Force Weather Agency (AFWA). The accuracy of this system is highly dependent on the data sources used;particularly the accuracy, consistency, and spatial and temporal coverage of the land and climatic data input into the models. However, many regions of the globe lack observations at the temporal and spatial resolutions required by PECAD. This study incorporates NASA's soil moisture remote sensing product provided by the EOS Advanced Microwave Scanning Radiometer (AMSR-E) into the U.S. Department of Agriculture Crop Assessment and data Retrieval (CADRE) decision support system. A quasi-global-scale operational data assimilation system has been designed and implemented to provide CADRE a daily product of integrated AMSR-E soil moisture observations with the PECAD two-layer soil moisture model forecasts. A methodology of the system design and a brief evaluation of the system performance over the Conterminous United States (CONUS) is presented.

关键词： soil moisture remote sensing passive microwave data assimilation

来源：评论

学校读者我要写书评

暂无评论

Net-centric environmental and weather monitoring: A disruptive concept of operations

Net-centric environmental and weather monitoring: A disrupti...

引用

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

作者： Ardanuy, Philip E. Marley, Stephen R. Flynn, Thomas J. Bossert, David E. Bensman, Edward L. Raytheon Information Solutions 12220 Sunrise Valley Drive Reston VA 20191-3402 Raytheon Net Centric Solutions 6620 Chase Oaks Blvd. Dallas TX 75023 Raytheon Missile Systems Bldg M09 MS5 PO Box 11337 Tucson AZ 85734 Raytheon IIS Space Systems 1620 Wilshire Drive Bellevue NE 68005

In this paper we review the concept of network centricity, and relate it to the evolution that is anticipated in weather and environmental operational remote sensing in the decade ahead. We provide a practical roadmap for implementing concepts that recognize the value of legacy systems, accounting for a spectrum of different interoperability potentials of legacy and future systems, from the perspective of three communities and five levels of integration.

关键词： remote sensing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：