2008 Microwave Radiometry and Remote Sensing of the Environment最新文献

Combined airborne radio-instruments for ocean and land studies (CAROLS) 海洋和陆地研究机载无线电综合仪器(CAROLS)

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779216

M. Zribi, D. Hauser, M. Pardé, P. Fanise, P. Leroy, M. Dechambre, A. Weill, J. Boutin, G. Reverdin, J. Calvet, J. Wigneron, N. Skou, S. Søbjærg, N. Reul, A. Rius, E. Cardellach

{"title":"Combined airborne radio-instruments for ocean and land studies (CAROLS)","authors":"M. Zribi, D. Hauser, M. Pardé, P. Fanise, P. Leroy, M. Dechambre, A. Weill, J. Boutin, G. Reverdin, J. Calvet, J. Wigneron, N. Skou, S. Søbjærg, N. Reul, A. Rius, E. Cardellach","doi":"10.1109/IGARSS.2008.4779216","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779216","url":null,"abstract":"The CAROLS, L band radiometer, is built and designed as a copy of EMIRAD II radiometer of DTU team. It is a Correlation radiometer with direct sampling and fully polarimetric (i.e 4 Stockes). It will be used in conjunction with other airborne instruments (in particular the C-Band scatterometer (STORM) and IEEC GPS system, Infrared CIMEL radiometer, one visible camera), in coordination with in situ field campaigns for SMOS CAL/VAL. The instruments are implemented on board the French research airplane ATR42. A validation campaign with four flights was made over south west of France, Hourtin Lake and Bay of Biscay (Atlantic Ocean) in September 2007. In order to qualify the radiometer data, different types of aircraft movements were realized: circle flights, wing and nose wags. Simultaneously to flights, different ground measurements were made over continental surfaces and ocean. First results show a good quality of data over ocean surfaces. For continental surfaces, important Radio-Frequency Interferences (RFI) were observed over a large part of the studied region.","PeriodicalId":193521,"journal":{"name":"2008 Microwave Radiometry and Remote Sensing of the Environment","volume":"22 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":"125418759","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: 5

Fire detection by low-cost microwave radiometric sensors 低成本微波辐射传感器的火灾探测

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579469

F. Alimenti, T. Kempka, G. Tasselli, S. Bonafoni, P. Basili, L. Roselli, K. Solbach, H.-I. Willms

{"title":"Fire detection by low-cost microwave radiometric sensors","authors":"F. Alimenti, T. Kempka, G. Tasselli, S. Bonafoni, P. Basili, L. Roselli, K. Solbach, H.-I. Willms","doi":"10.1109/MICRAD.2008.4579469","DOIUrl":"https://doi.org/10.1109/MICRAD.2008.4579469","url":null,"abstract":"This paper discuss the possibility to detect a fire exploiting microwave radiometric sensors. In particular the experiences carried-out at the University of Duisburg-Essen, Germany and at the University of Perugia, Italy, are described. At the University of Duisburg-Essen a multi-frequency radiometer, capable of full 2-40 GHz coverage, has been developed. This sensor has been used to characterize the microwave emission of fire as a function of shape and of burning materials. In addition, the response of this microwave radiometer has been compared with those of standard (i.e. CO and CO2) fire sensors. At the University of Perugia, instead, a portable 12.65 GHz radiometric sensor has been developed. This frequency has been chosen in such a way as to balance a good obstacle penetration capability with a reasonable antenna size. To keep low the radiometer cost, commercial TV-SAT components have been adopted along with a noise-adding (switch-less) calibration architecture. Such a sensor is able to detect small fires (filling factor below 1%) while being characterized by a component cost less than $1800.","PeriodicalId":193521,"journal":{"name":"2008 Microwave Radiometry and Remote Sensing of the Environment","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114682423","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: 7

Microwave emission from snowpacks: modeling the effects of volume scattering, surface scattering and layering 积雪的微波发射:模拟体积散射、表面散射和分层的影响

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579495

L. Tsang, D. Liang, Xiaolan Xu, P. Xu

引用次数: 10

Estimation of canopy attenuation for active/passive microwave soil moisture retrieval algorithms 主动/被动微波土壤水分反演算法的冠层衰减估计

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579490

M. Kurum, R. Lang, P. Oneill, A. Joseph, T. Jackson, M. Cosh

引用次数: 5

Arctic polar algorithms for atmospheric water parameter retrievals from satellite passive microwave data 从卫星无源微波数据反演大气水参数的极地算法

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579501

E. Zabolotskikh, L. Mitnik, L. Bobylev, O. Johannessenn

{"title":"Arctic polar algorithms for atmospheric water parameter retrievals from satellite passive microwave data","authors":"E. Zabolotskikh, L. Mitnik, L. Bobylev, O. Johannessenn","doi":"10.1109/MICRAD.2008.4579501","DOIUrl":"https://doi.org/10.1109/MICRAD.2008.4579501","url":null,"abstract":"The new algorithms for retrieval of total atmospheric water vapor content (Q) and total cloud liquid water content (W) from satellite microwave radiometer data, applicable for the Arctic Basin. These algorithms are based on the neural networks (NNs) regression technique employed for the inversion of a radiative transfer equation (RTE). For the algorithm development the numerical integration of RTE was carried out for the channel characteristics of a Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Scanning Radiometer (AMSR-E), and brightness temperatures (TB) were simulated for non-precipitating conditions over the open ocean. Sets of sea surface temperatures (Ts), surface winds and radiosonde reports collected by Russian research vessels served as input data for the integration. Only data with Ts less than 15degC were selected for algorithm development. Simulated radiometer noise was added to the calculated values of TB. Once developed, using theoretically simulated values of TB, the Q algorithms were then validated both for SSM/I and AMSR-E retrievals using satellite radiometric measurements collocated in space and time with polar station radiosonde data. The resulting SSM retrieval error proved to be 1.1 kg/m2, AMSR-E retrieval error -0.9 kg/m2. Considered case study was the polar low in the Norwegian Sea occurred 30-31 January 2008. NOAA AVHRR, Terra and Aqua MODIS images, QuikSCAT-retrieved wind fields, Envisat ASAR images as well as weather maps were used as ancillary data to passive microwave retrievals to study this phenomenon.","PeriodicalId":193521,"journal":{"name":"2008 Microwave Radiometry and Remote Sensing of the Environment","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114682997","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

Use of Pseudo-Random Noise sequences in microwave radiometer calibration 伪随机噪声序列在微波辐射计标定中的应用

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579475

I. Ramos-Pérez, X. Bosch-Lluis, Adriano Camps, J. Marchan-Hernandez, N. Rodriguez-Alvarez, E. Valencia

引用次数: 4

Development of a neural network for precipitable water vapor retrieval over ocean and land 海洋和陆地可降水量反演神经网络的发展

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579503

P. Basili, S. Bonafoni, V. Mattioli, F. Pelliccia, A. Serpolla, E. Bocci, P. Ciotti

引用次数: 5

Microwave radiometry of land, vegetation and water bodies: More than 30 years of modeling, conducting experiments and practical applications 土地、植被和水体的微波辐射测量:30多年的建模、实验和实际应用

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579459

A. Shutko

引用次数: 0

A theoretical analysis on the sensitivity of microwave emission to snow parameters 微波辐射对积雪参数敏感性的理论分析

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579500

M. Brogioni, P. Pampaloni

{"title":"A theoretical analysis on the sensitivity of microwave emission to snow parameters","authors":"M. Brogioni, P. Pampaloni","doi":"10.1109/MICRAD.2008.4579500","DOIUrl":"https://doi.org/10.1109/MICRAD.2008.4579500","url":null,"abstract":"Snow cover represents the major part of the cryosphere and is an important component of the hydrological cycle. Moreover, it is a key indicator of global warming. In the last decades, microwave radiometry has proved to be very powerful for monitoring the snow cover parameters (e.g. the extent area and the water equivalent). By using electromagnetic models, which simulate emission and scattering from natural surfaces it is possible to interpret the electromagnetic measurements and to perform the retrieval of the parameters that characterize the soil and its covers. This work aims at investigating the sensitivity of microwave emission to snow parameters by means of an advanced model called IRIDE (Ifac RadiatIve Dry snow Emission model). The model is obtained by properly coupling the advanced integral equation method and the dense media radiative transfer theory under the quasi-crystalline approximation. The simulations performed by means of IRIDE allowed us to determine the sensitivity of the brightness temperature to the most interesting snow parameters (thickness, water equivalent and wetness of snow) as a function of different observation configurations (frequency, polarization and incidence angle).","PeriodicalId":193521,"journal":{"name":"2008 Microwave Radiometry and Remote Sensing of the Environment","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124753250","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

PAU in SeoSAT: A proposed hybrid L-band microwave radiometer/GPS reflectometer to improve Sea Surface Salinity estimates from space SeoSAT中的PAU:一种混合l波段微波辐射计/GPS反射计，以改善从空间估计海面盐度

2008 Microwave Radiometry and Remote Sensing of the Environment Pub Date : 2008-03-11 DOI: 10.1109/MICRAD.2008.4579467

Adriano Camps, N. Rodriguez-Alvarez, X. Bosch-Lluis, J. F. Marchan, I. Ramos-Pérez, M. Segarra, L. Sagués, D. Tarragó, O. Cunado, R. Vilaseca, A. Tomas, J. Mas, J. Guillamon

引用次数: 15