IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium最新文献

NPOESS Precipitation Retrievals using the ATMS Passive Microwave Spectrometer 利用ATMS被动微波谱仪反演NPOESS降水

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2010-02-05 DOI: 10.1109/LGRS.2009.2038614

C. Surussavadee, D. Staelin

引用次数: 10

The Impact of Surface Scattering on Ocean Atmospheric Boundary Layer (ABL) Wind Profile Estimates from an Airborne Doppler Radar 地面散射对机载多普勒雷达估算海洋大气边界层风廓线的影响

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779656

T. Chu, S. Frasier, D. Esteban-Fernandez, P. Chang, J. Carswell

{"title":"The Impact of Surface Scattering on Ocean Atmospheric Boundary Layer (ABL) Wind Profile Estimates from an Airborne Doppler Radar","authors":"T. Chu, S. Frasier, D. Esteban-Fernandez, P. Chang, J. Carswell","doi":"10.1109/IGARSS.2008.4779656","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779656","url":null,"abstract":"IWRAP, the Imaging Wind and Rain Airborne Profiler is a conically scanning dual-band (C and Ku), dual-polarized pencil-beam airborne Doppler radar that profiles the volume reflectivity and Doppler velocity from precipitation. It also measures the ocean backscatter response especially during tropical and extra tropical cyclones. IWRAP is designed to measure troposphere winds and surface winds. Of particular importance to the storm forecasting and research community are the winds in the lower part of the hurricane boundary layer near the sea surface (lower ABL). The covariance data processing technique IWRAP traditionally employed assumes a uni-modal and symmetric Doppler spectrum and therefore, it alone is unable to account properly for the influence of the surface scattering on wind profiles in the lower ABL region. In this paper we compare covariance-based approaches and full-spectral approaches utilized to derive the true wind speed for atmospheric vertical profiles. Techniques for removal of the surface contamination and example of wind profiles retrieved from Hurricane Rita are presented.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115167760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Revealing Intra-Urban Features using Optical and SAR Images 利用光学和SAR图像揭示城市内部特征

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779577

Yasuyo K. Makido, Y. Yamagata, S. Dhakal

引用次数: 0

The Integraton of Graph-Based Knowledge Discovery with Image Segmentation Hierarchies for Data Analysis, Data Mining and Knowledge Discovery 基于图的知识发现与图像分割层次的集成，用于数据分析、数据挖掘和知识发现

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779391

J. Tilton, D. Cook, Nikhil S. Ketkar

引用次数: 7

A Study for Near-Shore Characterization Using High-Resolution Hyperspectral and Multispectral Images 基于高分辨率高光谱和多光谱图像的近岸特征研究

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779177

G. Pennucci, R. Grasso, C. Trees

引用次数: 3

Operational Technique in Typhoon Wind Radii Using Satellite Microwave Remote Sensor Data 利用卫星微波遥感数据反演台风风半径的操作技术

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4778864

Jun-Dong Park, J. Byon, E. Sohn, Yoonjae Kim

{"title":"Operational Technique in Typhoon Wind Radii Using Satellite Microwave Remote Sensor Data","authors":"Jun-Dong Park, J. Byon, E. Sohn, Yoonjae Kim","doi":"10.1109/IGARSS.2008.4778864","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4778864","url":null,"abstract":"In this paper, the system will be introduced and explain for the practical techniques might consider and use the typhoon wind radii on near real-time using satellite microwave remote sensor data. The system is created to use Typhoon weather forecast and validation of radii of 15 and 25 m/s (around 30 and 50 kts) gale-force wind over the ocean using satellite data. Korean Meteorological Administration (KMA) is receiving Defense Meteorological Satellite Program (DMSP), AQUA, and QuikSCAT data directly or indirectly via File Transfer Protocol (FTP) over the Global Telecommunication System (GTS) and process the wind speed. Also it receives Satellite Report (SAREP) which reports the position of the center of typhoon and it will be used for radius calculation. The system will calculate the radii of 15 and 25 m/s winds for four quadrants and also plot the each directional winds according to the distance from the center of the typhoon. It will run every 6 hours from the beginning of tropical depression to touch down to the land. With this system, 2006-2007 typhoon cases are processed to compare with the Regional Specialized Meteorological Center (RSMC) - Tokyo Typhoon Center best track and KMA forecasted data as well as the track errors.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115506808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Methodology for Selection of Optimal Viewing Angles for an Accurate Estimation of Leaf Area Index based on Information Theory 基于信息论的叶面积指数最佳视角选择方法

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4780154

Yanjuan Yao, Qiang Liu, Qinhuo Liu, W. Fan, Xiaowen Li

引用次数: 0

Hyperspectral Detection and Identification with Constrained Target Subspaces 约束目标子空间的高光谱检测与识别

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779029

S. Adler-Golden, J. Gruninger, R. Sundberg

引用次数: 10

Neural Network Estimation of Atmospheric Profiles Using AIRS/IASI/AMSU Data in the Presence of Clouds 基于AIRS/IASI/AMSU数据的有云大气廓线神经网络估计

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1117/12.804841

W. Blackwell, F. Chen, L. G. Jairam, M. Pieper

{"title":"Neural Network Estimation of Atmospheric Profiles Using AIRS/IASI/AMSU Data in the Presence of Clouds","authors":"W. Blackwell, F. Chen, L. G. Jairam, M. Pieper","doi":"10.1117/12.804841","DOIUrl":"https://doi.org/10.1117/12.804841","url":null,"abstract":"A novel statistical method for the retrieval of atmospheric temperature and water vapor profiles has been developed and evaluated with sounding data from the Atmospheric InfraRed Sounder (AIRS) and the Advanced Microwave Sounding Unit (AMSU) on the NASA Aqua satellite and the Infrared Atmospheric Sounding Interferometer (IASI) and AMSU on the EUMETSAT MetOp-A satellite. The present work focuses on the cloud impact on the AIRS and IASI radiances and explores the use of the stochastic cloud clearing methodology together with neural network estimation. A stand-alone statistical algorithm will be presented that operates directly on cloud-impacted AIRS/AMSU and IASI/AMSU data, with no need for a physical cloud clearing process. The performance of this method was evaluated using global (ascending and descending) EOS-Aqua orbits collocated with ECMWF fields for a variety of days throughout 2003, 2004, 2005, and 2006. Over 1,000,000 fields of regard (3×3 arrays of footprints) over ocean and land were used in the study. The method requires significantly less computation than traditional variational retrieval methods, while achieving comparable performance. Retrieval accuracy will be evaluated using ECMWF atmospheric fields as ground truth. The accuracy of the neural network retrieval method will be compared to the accuracy of the AIRS Level 2 (Version 5) retrieval method.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

The Potential of Combined Lidar and SAR Data in Retrieving Forest Parameters using Model Analysis 结合激光雷达和SAR数据在利用模型分析检索森林参数中的潜力

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4780149

Zhifeng Guo, G. Sun, K. Ranson, W. Ni, W. Qin

{"title":"The Potential of Combined Lidar and SAR Data in Retrieving Forest Parameters using Model Analysis","authors":"Zhifeng Guo, G. Sun, K. Ranson, W. Ni, W. Qin","doi":"10.1109/IGARSS.2008.4780149","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4780149","url":null,"abstract":"3D Lidar waveform and 3D radar backscatter models based on Radiative Transfer theory were used to simulate waveform and backscattering of various plots with different stand ages and structures, which were generated using forest growth model. The inversion models for estimating forest Above Ground Biomass (AGB) and Average Stand Height (ASH) were derived from the combined simulated database of large footprint Lidar waveforms and L-band polarimetric SAR backscattering using stepwise analysis method. The inversion procedures were then applied to NASA LVIS and ALOS PALSAR data to retrieve forest parameters for the study area. The study area is a 10km by 10km area located at International Paper's Northern Experiments Forest, Maine, USA, where field measurements that include stem coordinate, DBH, species and canopy position were recorded within a 200m by 150 m stand. Heights and AGB of total 7956 trees were estimated by applying species-specific allometric equations to stand measurements. AGB and height were then scaled up to the area according to the LVIS footprint size and location at 149 20m*20m plots, which were used to verify the inversion model developed using simulated database. The study concludes that Lidar waveform indices and SAR backscattering are complementary for forest parameters retrieving, which improved the limitation of signature saturation for regional biomass mapping using SAR data only. The comparison between inversed forest parameters and field measurements shows good consistency.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116648268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9