PROTECTION OF 6-7GHZ BAND SPACEBORNE MICROWAVE RADIOMETER FROM INTERFERENCES TO DERIVE SEA SURFACE TEMPERATURE AND OTHERS July 29,2011 Korehiro MAEDA (the.

Slides:



Advertisements
Similar presentations
Environmental Application of Remote Sensing: CE 6900 Tennessee Technological University Department of Civil and Environmental Engineering Course Instructor:
Advertisements

World Meteorological Organisation Use of Radio Spectrum for Meteorology: Weather, Water and Climate Monitoring and Prediction Jean-Michel Rainer.
Bryan HUNEYCUTT (NASA/JPL) WMO, Geneva, Switzerland 7 October 2002
World Meteorological Organization Working together in weather, climate and water WMO OMM WMO Inventory & Evaluation of Space-based Instruments:
On Estimation of Soil Moisture & Snow Properties with SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa.
The Aquarius Salinity Retrieval Algorithm Frank J. Wentz and Thomas Meissner, Remote Sensing Systems Gary S. Lagerloef, Earth and Space Research David.
WRC-07 AGENDA ITEMS OF INTEREST TO PASSIVE SERVICES WITH PARTICULAR EMPHASIS ON 1.2 AND 1.17 REGULATORY ISSUES REQUIRED ACTIVITIES CURRENT STATUS IN ITU-R.
1 MITSUBISHI ELECTRIC CORPORATION PROPRIETARY INFORMATION ANY AND ALL UNAUTHORIZED REPRODUCTION OR DISCLOSURE STRICTLY PROHIBITED IGARSS2011 Development.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Remote sensing in meteorology
ATS 351 Lecture 8 Satellites
Introduction to Remote Sensing The Electromagnetic (EM) Spectrum.
Monitoring the Arctic and Antarctic By: Amanda Kamenitz.
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
Pat Arnott, ATMS 749 Atmospheric Radiation Transfer Chapter 6: Blackbody Radiation: Thermal Emission "Blackbody radiation" or "cavity radiation" refers.
EECS 823 MACHARIA.  Four-frequency, linearly-polarized, passive microwave radiometric system which measures atmospheric, ocean and terrain microwave.
National Science Foundation 1 Dr. Tomas E. Gergely Electromagnetic Spectrum Manager National Science Foundation Registration of Radio.
Proposed revision of ITU-R Recommendation providing EESS (active) Performance and Interference Criteria May 13, 2015 Committee On Radio Frequencies Thomas.
POWER CONTROL IN COGNITIVE RADIO SYSTEMS BASED ON SPECTRUM SENSING SIDE INFORMATION Karama Hamdi, Wei Zhang, and Khaled Ben Letaief The Hong Kong University.
WMO/ITU Seminar Use of Radio Spectrum for Meteorology Earth Exploration-Satellite Service (EESS)- Active Spaceborne Remote Sensing and Operations Bryan.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Active Microwave Radar.
DOCUMENT OVERVIEW Title: Fully Polarimetric Airborne SAR and ERS SAR Observations of Snow: Implications For Selection of ENVISAT ASAR Modes Journal: International.
Agency, version?, Date 2012 Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Coordination Group.
Princeton University Development of Improved Forward Models for Retrievals of Snow Properties Eric. F. Wood, Princeton University Dennis. P. Lettenmaier,
Technical Seminar Presentation-2004 MICROWAVE REMOTE SENSING Kishore Kumar ParidaEC [1] Microwave Remote Sensing (MRS) Presented by Kishore Kumar.
SMOS+ STORM Evolution Kick-off Meeting, 2 April 2014 SOLab work description Zabolotskikh E., Kudryavtsev V.
Evaluation of Microwave Scatterometers and Radiometers as Satellite Anemometers Frank J. Wentz, Thomas Meissner, and Deborah Smith Presented at: NOAA/NASA.
Jul. 29, 2011IGARSS [3118] RELATION BETWEEN ROCK FAILURE MICROWAVE SIGNALS DETECTED BY AMSR-E AND A DISTRIBUTION OF RUPTURES GENERATED BY SEISMIC.
EXPERIMENTAL STUDY OF RADIO FREQUENCY INTERFERENCE DETECTION ALGORITHMS IN MICROWAVE RADIOMETRY José Miguel Tarongí Bauzá Giuseppe Forte Adriano Camps.
Passive Microwave Remote Sensing Lecture 11. Principals  While dominate wavelength of Earth is 9.7 um (thermal), a continuum of energy is emitted from.
Passive Microwave Remote Sensing
GEOG Fall 2003 Overview of Microwave Remote Sensing (Chapter 9 in Jensen) from Prof. Kasischke’s lecture October 6,2003.
APPLICATIONS OF THE INTEGRAL EQUATION MODEL IN MICROWAVE REMOTE SENSING OF LAND SURFACE PARAMETERS In Honor of Prof. Adrian K. Fung Kun-Shan Chen National.
Roughness Model of Radar Backscattering From Bare Soil Surfaces Amimul Ehsan Electrical Engineering and Computer Science Department, University of Kansas.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
Doc.: IEEE /0013r0 Submission April 2008 Joel Johnson, IEEE GRSSSlide 1 Coexistence Issues for Passive Earth Sensing from GHz Notice: This.
IGARSS 2011 Technical Program Report Yoshio Yamaguchi, Niigata Univ. Jin Ya Qiu, Fudan Univ. Technical Co-Chairs July 25, 2011 Beyond the Frontiers: Expanding.
ITU/WMO Seminar “Use of Radio Spectrum for Meteorology: Weather, Water and Climate Monitoring and Prediction” Session 5: Meteorological Aids Service (Radiosondes)
A Measuring Polygon with a Complex of Polarimetric, Combined Active-Passive Sensors of S-, Ku-, and Ka-band of Frequencies for Soil and Snow Remote Sensing.
Synthetic Aperture Radar Specular or Bragg Scatter? OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001.
1 INTERNATIONAL TOVS STUDY CONFERENCE, 4-10 October 2006, Maratea J. PLA - CNES PASSIVE MICROWAVE PROTECTION: IMPACT OF RFI INTERFERENCE ON SATELLITE PASSIVE.
2011 IEEE International Geoscience And Remote Sensing Symposium IGARSS’11  July 24-29, 2011  Vancouver, C ANADA A synergy between SMOS & AQUARIUS: resampling.
PASSIVE MICROWAVES Figure 5-2 Sensitivity of brightness temperature to geophysical parameters over ocean surface.
MULTI-FREQUENCY, MULTI-POLARIZATION AND ANGULAR MEASUREMENTS OF BARE SOIL, SNOW AND WATER ICE MICROWAVE REFLECTION AND EMISSION BY C-, Ku-, AND Ka-BAND,
Centre de Météorologie Spatiale CORF 08/04/2004 Direction de la Production CMS Lannion Brittany.
Improvement of Cold Season Land Precipitation Retrievals Through The Use of Field Campaign Data and High Frequency Microwave Radiative Transfer Model IPWG.
ITU Symposium on ICTs and the Environment & Climate Change Accra, 7-8 June Essential role of radio-frequencies for Earth observations and meteorology.
The Inter-Calibration of AMSR-E with WindSat, F13 SSM/I, and F17 SSM/IS Frank J. Wentz Remote Sensing Systems 1 Presented to the AMSR-E Science Team June.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
CNSA,, Date Nov Coordination Group for Meteorological Satellites - CGMS The Status of current and future CNSA Earth Observing System Presented.
Doc.: IEEE RR-02/036 Submission March 2002 Rebecca Chan, Industry CanadaSlide 1 Simulation on Aggregate Interference from Wireless Access Systems.
Bryan HUNEYCUTT (NASA/JPL) WMO, Geneva, Switzerland March 2006
SCM x330 Ocean Discovery through Technology Area F GE.
Workshop: “The Role of Remote Sensing in Disaster Management”, ITU, Geneva, December Radiocommunication Sector and Remote Sensing International.
Detection of Wind Speed and Sea Ice Motion in the Marginal Ice Zone from RADARSAT-2 Images Alexander S. Komarov 1, Vladimir Zabeline 2, and David G. Barber.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Active Microwave Radar.
In order to accurately estimate polar air/sea fluxes, sea ice drift and then ocean circulation, global ocean models should make use of ice edge, sea ice.
Passive Microwave Remote Sensing
CEPT position on WRC-12 AI’s 1.3, 1.4, 1.7, 1.12 and 1.25
Spaceborne Polarimetric Microwave Radiometer Brandon Ravenscroft
Cassini Huygens EECS 823 DIVYA CHALLA.
SOLab work description
CMA Working Papers for CGMS-43
THE RESULTS OF WRC-2007 Earth Exploration Satellite PASSIVE Earth Exploration Satellite ACTIVE ILLUSTRATION of the usage of some passive frequency.
Coexistence Issues for Passive Earth Sensing from GHz: Update
WRC-12 A.I. 1.3 Eric ALLAIX DGAC-DSNA.
Satellite Foundational Course for JPSS (SatFC-J)
COSPAR SA 2008, E110 IUCAF session
Remote sensing in meteorology
JDS international seminar
Presentation transcript:

PROTECTION OF 6-7GHZ BAND SPACEBORNE MICROWAVE RADIOMETER FROM INTERFERENCES TO DERIVE SEA SURFACE TEMPERATURE AND OTHERS July 29,2011 Korehiro MAEDA (the University of Tokyo), Akira SHIBATA(JAXA), Keiji IMAOKA(JAXA) IGARSS2011 Session:Frequency Allocation for Remote Sensing and RFI Mitigation for Microwave Radiometry

Contents 1.INTRODUCTION 2.INTERFERENCE SOURCES Direct interference and interference scattered in ocean 3.INTERFERENCE ANALYSIS Interference analysis from mobile satellites to spaceborne microwave radiometer in ocean area The first results in the world. 4. CONCLUSION 2

1.Introduction (1/2) There are several spectrum issues related with remote sensing. Some issues have been resolved thorough WRC, study groups SG7, Working Party of WP7C of ITU-R in collaboration with various space agencies and remote sensing community such as GRSS FARS (Frequency allocation for Remote Sensing). These issues cover not only spaceborne active sensor such as cloud radar, precipitation radar and synthetic aperture radar but also spaceborne passive sensor such as microwave radiometer. Some issues such as protection of 6-7GHz microwave radiometer are still not resolved. Table 1 shows combination of channel to derive geophysical parameter. In this table, Radio Regulations (R.R. ) was modified in WRC-2000 for GHz and in WRC-2007 for GHz, GHz and 36-37GHz. Emission is prohibited by R.R.No for GHz, GHz, GHz. 3

4

5

1.Introduction (2/2) 6-7GHz microwave radiometer is very important and best to observe sea surface temperature and others through clouds. However, this band is not protected in Radio Regulations (R.R.) of ITU-R. Therefore various interference sources to 6-7GHz microwave radiometer are classified and introduced. Sharing analysis in land area is conducted [1]. Aircraft experiment was conducted to measure interference in Japan in 2006 [2]. In the ocean area, there is no analysis to date. In this paper, sharing analysis is shown for the first time in the world. 6

2. INTERFERENCE SOURCES There are the following interference sources to spaceborne microwave radiometer using 6-7 GHz: (1)Interference from radio ground system There are various interferences in the AMSR-E image as shown in Figures 1 and 2. (2)Scattered emission of down link of feeder link of a mobile satellite over the surface of ocean There are line-shape interferences in the AMSR-E image as shown in Figure 3. (3) direct radiation from mobile satellite to horn of microwave radiometer via edge of main reflector. There is interference of part of main dish shape in the AMSR-E image as shown in Figure 4. (4)Interference to cold sky mirror for calibration. Calibration accuracy using cold sky mirror is degraded. 7

2. INTERFERENCE SOURCES (2/2) These interferences cause error in extraction of geophysical parameter such as sea surface temperature, sea surface wind and others. Importance of 6-7GHz in measurement of sea surface temperature and sea surface wind are shown in Ref.[3] and [4]. 8

9

10

11

12

Radio Regulations No GHz band is not protected in R.R. No which shows that in the band MHz, passive microwave sensor measurements are carried out over the oceans. In the band MHz, passive microwave sensor measurements are carried out. Administrations should bear in mind the needs of the Earth exploration-satellite (passive) and space research (passive) services in their future planning of the bands MHz and MHz. Modifications of Radio Regulation may be needed in the future. JAXA is planning to launch AMSR-2 mounted on GCOM-W in November, 2011 which has additional band 7.3GHz (350MHz) to GHz (350MHz) band in order to select channel with lower interference. 13

3. INTERFERENCE ANALYSIS (1/4) 3.1. Technical characteristics Values of parameter of a mobile satellite and spaceborne microwave radiometer and a mobile satellite are shown in Table 2 and 3. 14

15

16

17

18

19

3.2. Interference analysis (2/4) Typical interference in the ocean is caused by scattering at surface of ocean. Interference analysis is conducted by applying radar equations and using Table 2 and 3. Dependence of scattering coefficients on incidence angle are shown in the following figures. 20

21

22 Scattering coefficients (dB)

23 Receiving power Pr of a spaceborne microwave radiometer is given by the following equations:

3.2. Interference analysis (3/4) Back scattering radar cross section of surface of ocean is obtained in Ref.[5]. This can be converted to forward scattering as shown in Ref.[6]. Forward scattering coefficients is assumed to be a function of a single variable, the off-specular angle, where off-specular angle is the angle between the direction of specular reflection and the direction in which the energy is scattered to the receiver of microwave radiometer. 24

3.2. Interference analysis (4/4) In this case, the scattering coefficients is circularly symmetric around the direction of specular angle. When incidence angle at the earth is 55 degree and specular reflection occurs, this is worst case. In this case, Pt is calculated as shown in Table 4. According to Rec.ITU-R RS [8], interference level -166dBW (Reference bandwidth 200MHz) should not exceeded for more than 0.1 percentage of sensor viewing area. In the case of specular reflection, it was found that protection level was exceeded by about 33dB for AMSR-E and AMSR2. 25

26

27

4. CONCLUSION Various interference sources to a 6-7GHz spaceborne microwave radiometer are classified and introduced. These interferences cause degradation of accuracy of sea surface temperature, sea surface wind and others. In particular, interferences from scattering of downlink from mobile satellites to gateways at the ocean are analyzed for the first time in the world. It was found that interference level exceeds protection level by about 33dB in the specular reflection case. Dynamic analysis will be needed to measure interference time percentage. We hope that community of GRSS will make efforts to act to protect 6-7GHz spaceborne microwave band 28

ACKNOWLEDGEMENT The authors would like to thank member of GCOM, JAXA. 29

REFERENCES [1] Korehiro Maeda, “Utilities of Spaceborne Microwave Radiometer and its Protection-sharing studies between AMSR and point-to-point fixed service stations,”IEICE Technical report SANE ,pp.61-66, March, [2] Keiji Imaoka, Yasuhiro Fujimoto, Yoriko Arai, Akira Shibata,Shinichi Morokuma, and Yoshio Sasaki “Radio-frequency interference signals in the AMSR and aircraft C-band measurements,” proceedings of IGARSS2006,pp , [3]Akira Shibata, ”Necessity of frequency 6GHz for observing sea surface temperature, IEICE Technical Report SANE pp , [4]Akira Shibata,”A wind speed retrieval algorithm by combining 6 and 10GHz data from Advanced Microwave Scanning Radiometer: Wind Speed inside Hurricanes,”Journal of Oceangraphy, vol.62, pp ,2006. [5]G.R.Valenzuela,”Theories for the interaction of electromagnetic and oceanic waves-a review,”Boundary-Layer Meteorol, vol.13.pp.61-85,

REFERENCES [6] Rec.ITU-R RS,1449,”Feasibility of sharing between the FSS (space- to-Earth) and the earth exploration-satellite (passive) and space research (passive) services in the band GHz” [7]Rec.ITU-R RS “Interference criteria for satellite passive remote sensing,”2003. [8] K.Maeda and Y.Azuma, ”Outline of SAR-580 data processing method in Japan, “ IGARSS’86 Symposium, pp , Sept., [9]K.Maeda, M.Kojima and Y.Azuma, ”Some results of MOS-1 airborne verification experiment-MESSR,” IGARSS ’ 86 Symposium, pp ,Sept.,1986. [10]K.Maeda, M.Kojima and Y.Azuma,”Some results of a MOS-1 Airborne Verification Experiment –Multispectral Electronic Self- Scanning Radiometer (MESSR),” IEEE Transactions on Geoscience and Remote Sensing Vol.GE-25, No.6, pp ,Nov

REFERENCES [11]K.Maeda, H.Wakabayshi and H.Sato,”Some results of MOS-1 airborne verification experiment-MSR (Microwave Scanning Radiometer),” Proceeding of IGARSS’87 Symposium, pp , May [12]K.Maeda and Y.Azuma, ”Results on processing and evaluation of SAR-580 data in Japan, “Canadian Journal of Remote Sensing Vol.13, No.1, pp.11-18, July [13]K.Maeda,M.Kojima and Y.Azuma, “Geometric and radiometric performance evaluation methods for marine observation satellite-1(MOS- 1) verification program(MVP),”Acta Astronautica, Vol.15, No.6/7, pp , Pergamon Journals, [14] K.Maeda,H.Wakabayashi,K.Tasaki,M.Shimada and H.Satoh,”Verification results of MOS-1 MESSR data,”Proceedings of IGARSS ‘ 88, pp , [15]K.Maeda, H.Wakabayashi, K.Tasaki and H.Sato,”Early Verification Results for MOS-1 VTIR data,, Proceedings of 16th ISTS, pp , 1988, 32

REFERENCES [16] K.Maeda and H.Satoh,”Application of MOS-1 data to earth environment monitoring and future global change monitoring system,” Proceedings of 17 th ISTS, pp , [17] K.Maeda, M.Nakai and O.Ryuguji,”ERS-1/ERS-1 verification program and future verification program,” Adv.Space Res.Vol.12, No.7, COSPAR, pp.(7)327-(7)331, 1992 [18] K.Maeda and H.Maejima, ”Development of ISY environmental data sets,” Proceedings of 18 th ISTS, pp , [19] K.Maeda and H.Maejima, “Development of data sets for the ISY sea surface temperature,”, European ISY Conference, March, [20]K.Maeda, H.Maejima, M.Shimada and T.Tanaka., ”MOS-1/MOS- 1b/ERS-1/JERS-1 data sets of sea surface temperature and polar ice extent for ISY,” Adv.Space Res.Vol.14, No.3,COSPAR, pp(3)167-(3)176,

REFERENCES [21] K.Maeda and O.Ryuguji, ”Japanese contribution to development of earth environment monitoring system by using satellites,” Space technol.Vol.12, No.1, Pergamon Press, pp.83-90, [22] K.Maeda, “Disaster monitoring using multi-satellite system, Proceedings of 19 th ISTS, [23]K.Maeda, Y.Iida and T.Manabe,”Protection of Spaceborne and Terrestrial Passive Sensors to Observe Trace Gasses from 200 to 700GHz,” Proceedings of IEEE IGARSS Symposium,pp , [24] K.Maeda, K.Ohishi and F.Hosonuma, ”Outline of spaceborne sub-millimeter wave sounder with superconductivity,” 20 th International Conference on infrared and millimeter waves Dec.,