IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium最新文献_第10页

The sensitivity of a land surface parameterization scheme to the choice of remotely-sensed landcover data sets 地表参数化方案对遥感地表覆盖数据集选择的敏感性

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516286

K. Oleson, K. Driese, J. Maslanik, W. Emery, W. Reiners

{"title":"The sensitivity of a land surface parameterization scheme to the choice of remotely-sensed landcover data sets","authors":"K. Oleson, K. Driese, J. Maslanik, W. Emery, W. Reiners","doi":"10.1109/IGARSS.1996.516286","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516286","url":null,"abstract":"The characteristics of satellite-derived landcover data for climate models vary depending on sensor properties and processing options. To better understand the first order effects of differences in landcover data on a land surface parameterization scheme (VBATS), stand-alone model runs were performed for two adjacent 2.8/spl deg/ by 2.8/spl deg/ GCM gridcells in Wyoming using landcover from two satellite-derived maps (AVHRR, TM) and a global landcover data set commonly used in GCMs. Substantial differences in prescribed landcover were found between the three datasets. Despite these differences, the VBATS simulated surface fluxes were similar in the eastern gridcell for the two satellite data sets. In the western gridcell, the partitioning of net radiation into sensible and latent heat fluxes was affected by the relative proportions of wet cover types (i.e. inland water and irrigated crop) prescribed by the two satellite data sets. This emphasizes the importance of accurately estimating the proportion of wet cover types within a GCM gridcell in arid regions. Spatial aggregation of the satellite data sets reduced the number of cover types used to represent each GCM gridcell. In the western gridcell, a reduction in the number of cover types from 11 to 2 resulted in differences in annual averages of sensible and latent heat fluxes of about 10%. Other simulations involving these data sets suggest that these differences could be reduced if the wet cover types are accounted for. In this respect, fine spatial resolution information is required for some cover types whereas coarser resolution may be adequate for other types. Landcover classifications for land surface modeling need to be based more on model sensitivities than on traditional vegetation-type schemes.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116283141","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: 11

Oceanic wind vector determination using a dual-frequency microwave airborne radiometer theory and experiment 双频微波机载辐射计测定海洋风矢量的理论与实验

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516593

M. Jacobson, W. Emery, E. Westwater

{"title":"Oceanic wind vector determination using a dual-frequency microwave airborne radiometer theory and experiment","authors":"M. Jacobson, W. Emery, E. Westwater","doi":"10.1109/IGARSS.1996.516593","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516593","url":null,"abstract":"Passive ocean-viewing microwave radiometers produce promising results for measuring the near-surface wind vector by measuring the thermal emission from the combined rough surface and atmosphere. The brightness temperature variations of the rough ocean surface provide the necessary information for determining the near ocean surface wind speed and direction. Ocean wind direction measurements have only recently been obtained by microwave radiometers. These recent wind direction measurements showed that ocean brightness temperature variations with respect to azimuth angle (wind direction) varied by a few Kelvin. All these radiometers measured the azimuthal dependence of vertically- and horizontally-polarized ocean brightness temperatures. Brightness temperature measurements at other polarization states (four Stokes parameters) are also sensitive to near surface ocean wind direction. This paper focuses on a nonpolarimetric aircraft-based dual-frequency dual-polarized microwave radiometer that was developed at the Environmental Technology Laboratory (ETL) of the National Oceanic and Atmospheric administration (NOAA). The lower frequency at 23.87 GHz is horizontally-polarized with respect to the aircraft's flight direction and the 31.65 GHz frequency is vertically-polarized to that direction. This radiometer was one of several instruments deployed in ETL's first Advanced Sensor Applications Program (ASAP) experiment. This experiment was named the San Clements Ocean Probing Experiment (SCOPE). The main purpose of the airborne microwave radiometer was to determine if it could measure azimuthal-dependent brightness temperature variations from a rough ocean surface, and thus infer the near-surface wind vector. Furthermore, in order to gain a better understanding on the potential of the NOAA dual-frequency radiometer for near-surface wind vector determination, the SCOPE radiometer measurements are compared with a new combined atmospheric and two-scale ocean surface model.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"32 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116343662","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: 2

On the survey of volcanic sites: the SIR-C/X-SAR interferometry 火山遗址测量:SIR-C/X-SAR干涉测量法

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516337

M. Coltelli, G. Fornaro, G. Franceschetti, R. Lanari, M. Migliaccio, J. Moreira, K. Papathanassiou, G. Puglisi, D. Riccio, M. Schwabisch

引用次数: 1

Remote sensing data availability from the Earth Observation System (EOS) via the Distributed Active Archive Center (DAAC) at NSIDC 通过NSIDC的分布式主动档案中心(DAAC)获取地球观测系统(EOS)的遥感数据

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516432

R. Weaver, V. Troisi

引用次数: 1

Robust restoration of microwave brightness contrasts from the DMSP SSM/I data DMSP SSM/I数据对微波亮度对比的鲁棒恢复

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516379

B. Petrenko

引用次数: 6

Electromagnetic wave scattering from real-life rough surface profiles and profiles based on an averaged spectrum 基于平均频谱的真实粗糙表面剖面和剖面的电磁波散射

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516909

K. Pak, L. Tsang, R. Weeks, J.C. Shi, H. Rott

引用次数: 2

Ecosystem management: a decision support GIS approach 生态系统管理:决策支持GIS方法

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516943

Wayne Wei

引用次数: 2

Parametric estimation of time varying baselines in airborne interferometric SAR 机载干涉SAR时变基线的参数估计

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516440

J. J. Mohr, N. N. Madsen

引用次数: 7

Regional land cover characterization using multiple sources of intermediate-scale data 利用多种来源的中尺度数据进行区域土地覆盖表征

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516305

J. Vogelmann, S. Howard, T. Sohl

引用次数: 5

The Army Research Laboratory ultra wideband BoomSAR 陆军研究实验室的超宽带BoomSAR

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516828

M. Ressler

引用次数: 34