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Rafael Space Propulsion
Rafael Space Propulsion CATALOGUE A B C D E F G Proprietary Notice This document includes data proprietary to Rafael Ltd. and shall not be duplicated, used, or disclosed, in whole or in part, for any purpose without written authorization from Rafael Ltd. Rafael Space Propulsion INTRODUCTION AND OVERVIEW PART A: HERITAGE PART B: SATELLITE PROPULSION SYSTEMS PART C: PROPELLANT TANKS PART D: PROPULSION THRUSTERS Satellites Launchers PART E: PROPULSION SYSTEM VALVES PART F: SPACE PRODUCTION CAPABILITIES PART G: QUALITY MANAGEMENT CATALOGUE – Version 2 | 2019 Heritage PART A Heritage 0 Heritage PART A Rafael Introduction and Overview Rafael Advanced Defense Systems Ltd. designs, develops, manufactures and supplies a wide range of high-tech systems for air, land, sea and space applications. Rafael was established as part of the Ministry of Defense more than 70 years ago and was incorporated in 2002. Currently, 7% of its sales are re-invested in R&D. Rafael’s know-how is embedded in almost every operational Israel Defense Forces (IDF) system; the company has a special relationship with the IDF. Rafael has formed partnerships with companies with leading aerospace and defense companies worldwide to develop applications based on its proprietary technologies. Offset activities and industrial co-operations have been set-up with more than 20 countries world-wide. Over the last decade, international business activities have been steadily expanding across the globe, with Rafael acting as either prime-contractor or subcontractor, capitalizing on its strengths at both system and sub-system levels. Rafael’s highly skilled and dedicated workforce tackles complex projects, from initial development phases, through prototype, production and acceptance tests. -
Cassini RADAR Sequence Planning and Instrument Performance Richard D
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 47, NO. 6, JUNE 2009 1777 Cassini RADAR Sequence Planning and Instrument Performance Richard D. West, Yanhua Anderson, Rudy Boehmer, Leonardo Borgarelli, Philip Callahan, Charles Elachi, Yonggyu Gim, Gary Hamilton, Scott Hensley, Michael A. Janssen, William T. K. Johnson, Kathleen Kelleher, Ralph Lorenz, Steve Ostro, Member, IEEE, Ladislav Roth, Scott Shaffer, Bryan Stiles, Steve Wall, Lauren C. Wye, and Howard A. Zebker, Fellow, IEEE Abstract—The Cassini RADAR is a multimode instrument used the European Space Agency, and the Italian Space Agency to map the surface of Titan, the atmosphere of Saturn, the Saturn (ASI). Scientists and engineers from 17 different countries ring system, and to explore the properties of the icy satellites. have worked on the Cassini spacecraft and the Huygens probe. Four different active mode bandwidths and a passive radiometer The spacecraft was launched on October 15, 1997, and then mode provide a wide range of flexibility in taking measurements. The scatterometer mode is used for real aperture imaging of embarked on a seven-year cruise out to Saturn with flybys of Titan, high-altitude (around 20 000 km) synthetic aperture imag- Venus, the Earth, and Jupiter. The spacecraft entered Saturn ing of Titan and Iapetus, and long range (up to 700 000 km) orbit on July 1, 2004 with a successful orbit insertion burn. detection of disk integrated albedos for satellites in the Saturn This marked the start of an intensive four-year primary mis- system. Two SAR modes are used for high- and medium-resolution sion full of remote sensing observations by a dozen instru- (300–1000 m) imaging of Titan’s surface during close flybys. -
Real-Time Spaceborne Synthetic Aperture Radar Float-Point Imaging System Using Optimized Mapping Methodology and a Multi-Node Parallel Accelerating Technique
sensors Article Real-Time Spaceborne Synthetic Aperture Radar Float-Point Imaging System Using Optimized Mapping Methodology and a Multi-Node Parallel Accelerating Technique Bingyi Li 1, Hao Shi 1,2,* ID , Liang Chen 1,*, Wenyue Yu 1, Chen Yang 1 ID , Yizhuang Xie 1, Mingming Bian 3, Qingjun Zhang 3 and Long Pang 4 1 Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China; [email protected] (B.L.); [email protected] (W.Y.); [email protected] (C.Y.); [email protected] (Y.X.) 2 Department of Electronic Engineering, Tsinghua University, Beijing 100084, China 3 Beijing Institute of Spacecraft System Engineering, Beijing 100094, China; [email protected] (M.B.); [email protected] (Q.Z.) 4 School of Information Engineering, Communication University of China, Beijing 100024, China; [email protected] * Correspondence: [email protected] (H.S.); [email protected] (L.C.); Tel.: +86-186-1166-1399 (H.S.) Received: 28 December 2017; Accepted: 5 February 2018; Published: 28 February 2018 Abstract: With the development of satellite load technology and very large-scale integrated (VLSI) circuit technology, on-board real-time synthetic aperture radar (SAR) imaging systems have facilitated rapid response to disasters. A key goal of the on-board SAR imaging system design is to achieve high real-time processing performance under severe size, weight, and power consumption constraints. This paper presents a multi-node prototype system for real-time SAR imaging processing. We decompose the commonly used chirp scaling (CS) SAR imaging algorithm into two parts according to the computing features. -
Sea Surface Wind Retrievals from SIR-C/X-SAR Data: a Revisit
Remote Sens. 2015, 7, 3548-3564; doi:10.3390/rs70403548 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit Yongzheng Ren 1, Xiao-Ming Li 1,* and Guoqing Zhou 2 1 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; E-Mail: [email protected] 2 Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel./Fax: +86-10-8217-8168. Academic Editors: Richard Gloaguen and Prasad S. Thenkabail Received: 22 November 2014 / Accepted: 17 March 2015 / Published: 26 March 2015 Abstract: The Geophysical Model Function (GMF) XMOD1 provides a linear algorithm for sea surface wind field retrievals for the Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar (SIR-C/X-SAR). However, the relationship between the normalized radar cross section (NRCS) and the sea surface wind speed, wind direction and incidence angles is non-linear. Therefore, in this paper, XMOD1 is revisited using the full dataset of X-SAR acquired over the ocean. We analyze the detailed relationship between the X-SAR NRCS, incidence angle and sea surface wind speed. Based on the C-band GMF CMOD_IFR2, an updated empirical retrieval model of the sea surface wind field called SIRX-MOD is derived. In situ buoy measurements and the scatterometer data of ERS-1/SCAT are used to validate the retrieved sea surface wind speeds from the X-SAR data with SIRX-MOD, which respectively yield biases of 0.13 m/s and 0.16 m/s and root mean square (RMS) errors of 1.83 m/s and 1.63 m/s. -
Seasat—A 25-Year Legacy of Success
Remote Sensing of Environment 94 (2005) 384–404 www.elsevier.com/locate/rse Seasat—A 25-year legacy of success Diane L. Evansa,*, Werner Alpersb, Anny Cazenavec, Charles Elachia, Tom Farra, David Glackind, Benjamin Holta, Linwood Jonese, W. Timothy Liua, Walt McCandlessf, Yves Menardg, Richard Mooreh, Eni Njokua aJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States bUniversitaet Hamburg, Institut fuer Meereskunde, D-22529 Hamburg, Germany cLaboratoire d´Etudes en Geophysique et Oceanographie Spatiales, Centre National d´Etudes Spatiales, Toulouse 31401, France dThe Aerospace Corporation, Los Angeles, CA 90009, United States eCentral Florida Remote Sensing Laboratory, University of Central Florida, Orlando, FL 32816, United States fUser Systems Enterprises, Denver, CO 80220, United States gCentre National d´Etudes Spatiales, Toulouse 31401, France hThe University of Kansas, Lawrence, KS 66047-1840, United States Received 10 June 2004; received in revised form 13 September 2004; accepted 16 September 2004 Abstract Thousands of scientific publications and dozens of textbooks include data from instruments derived from NASA’s Seasat. The Seasat mission was launched on June 26, 1978, on an Atlas-Agena rocket from Vandenberg Air Force Base. It was the first Earth-orbiting satellite to carry four complementary microwave experiments—the Radar Altimeter (ALT) to measure ocean surface topography by measuring spacecraft altitude above the ocean surface; the Seasat-A Satellite Scatterometer (SASS), to measure wind speed and direction over the ocean; the Scanning Multichannel Microwave Radiometer (SMMR) to measure surface wind speed, ocean surface temperature, atmospheric water vapor content, rain rate, and ice coverage; and the Synthetic Aperture Radar (SAR), to image the ocean surface, polar ice caps, and coastal regions. -
Applications of Orbital Imaging Radar for Geologic Studies in Arid Regions: the Saharan Testimony
Applications of Orbital Imaging Radar for Geologic Studies in Arid Regions: The Saharan Testimony Mohamed G. Abdelsalam, Cordula Robinson, Farouk Elgaz, and Robert J. Stem Abstract can penetrate dry sand and collect images of shallow sub-sur- The multi-frequency and multi-polarization Shuttle Imaging face features in arid regions such as the eastern Sahara. The arid Radar (SIR)-C/X Synthetic Aperture Radar (SAR) data collected climate prevents development of extensive soil and vegetation in 1994 aboard two flights of the Shuttle Endeavour constitute cover which otherwise obscures the returning radar signal from a milestone in imaging of deserts from space. The data are geologic features. Furthermore, the absence of moisture maxi- here used to explore the eastern Saham, including lithological mizes the depth of radar penetration in the well-sorted sand and structural mapping, geomorphological studies, and min- cover and enables imaging of shallow (up to 2 m) sub-surface eral exploration. The SIR-C/X-SAR images in this environment features. are generally found to be (1) less useful for lithological This presentation discusses the importance of orbital mapping than orbital visible and near infrared (VNLA)images, imaging radar in geologic studies in arid regions based on our except where rock types weather differently to produce varying experience in the eastern Sahara of North Africa. First, we out- roughness levels; (2) superior to orbital vm images for line the evolution of orbital imaging radar systems and summa- structural mapping in areas of subdued relief or where rize concepts that are important in understanding and inter- structures are partially covered by dry sand, as well as in preting radar images. -
Maximizing the Utility of Satellite Remote Sensing for the Management of Global Challenges
UN-GGIM Exchange Forum Maximizing the Utility of Satellite Remote Sensing for the Management of Global Challenges Paulo Bezerra Managing Director MDA Geospatial Services Inc. paulo@mdacorporation . com RESTRICTION ON USE, PUBLICATION OR DISCLOSURE OF PROPRIETARY INFORMATION This document contains information proprietary to MacDonald, Dettwiler and Associates Ltd., to its subsidiaries, or to a third party to which MacDonald, Dettwiler and Associates Ltd. may have a legal obligation to protect such information from unauthorized disclosure, use or duplication. Any disclosure, use or duplication of this document or of any of the information contained herein for other thanUse, the duplication,specific pur orpose disclosure for which of this it wasdocument disclosed or any is ofexpressly the information prohibited, contained except herein as MacDonald, is subject to theDettwiler restrictions and Assoon thciatese title page Ltd. ofmay this agr document.ee to in writing. 1 MDA Geospatial Services Inc. (GSI) Providing Essential Geospatial Products and Services to a global base of customers. SATELLITE DATA DISTRIBUTION DERIVED INFORMATION SERVICES Copyright © MDA ISI GeoCover Regional Mosaic. Generated Top Image - Copyright © 2002 DigitialGlobe from LANDSAT™ data. Bottom Image - RADARSAT-1 Data © CSA (()2001). Received by the Canada Centre for Remote Sensing. Processed and distributed by MDA Geospatial Services Inc. Use, duplication, or disclosure of this document or any of the information contained herein is subject to the restrictions on the title page of this document. MDA GSI - Satellite Data Distribution Worldwide distributor of radar and optical satellite data RADARSAT-2 GeoEye WorldView RapidEye USA Canada Brazil Chile RADARSAT-2 Data and Products © MACDONALD DETTWILER AND Copyright © 2011 GeoEye ASSOCIATES LTD. -
HOWARD ALLAN ZEBKER Curriculum Vitae June, 2005
HOWARD ALLAN ZEBKER Curriculum Vitae June, 2005 CURRENT POSITION: Associate Professor TEL: (650) 723-8067 Departments of Geophysics and Electrical Engineering FAX: (650) 725-7344 Mitchell 360 Email: [email protected] Stanford University Stanford, CA 94305-2215 EDUCATION: Ph.D., Electrical Engineering, Stanford University, 1984. Major Subjects: Radiowave Scattering Theory, Digital Signal Processing Thesis Title: Analysis and Interpretation of the Voyager 1 Radio Occultation Measurements of Saturn's Rings with Emphasis on Particle Size Distribution M.S., Engineering, University of California at Los Angeles, 1979. Major Subjects: Information Theory and Coding, Detection, Estimation Comprehensive Exam Title: A Numerical Method for Evaluating Steady State Probability Distributions B.S., Engineering and Applied Science, California Institute of Technology, 1976. Major Subjects: Circuit Design, Applied Mathematics, Computer Science POSITIONS HELD: 1995-present: Associate Professor Departments of Geophysics and Electrical Engineering (joint appt.) Stanford University Stanford, CA 1984-1995: Assistant Manager Radar Science and Engineering Section Jet Propulsion Laboratory, Radar Science and Engineering Section Major responsibilities: i) management of research and development activity for NASA/JPL radar program activities, specializing in measurement and interpretation of scattered radio signals, ii) section administration, iii) task management for ARPA-supported interferometric radar research task, and iv) advanced planning activities. 1984: Post-doctoral -
Satellite Remote Sensing and GIS Applications in Agricultural Meteorology
Satellite Remote Sensing and GIS Applications in Agricultural Meteorology Proceedings of the Training Workshop 7-11 July, 2003, Dehra Dun, India Editors M.V.K. Sivakumar P.S. Roy K. Harmsen S.K. Saha Sponsors World Meteorological Organization (WMO) India Meteorological Department (IMD) Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP) Indian Institute of Remote Sensing (IIRS) National Remote Sensing Agency (NRSA) and Space Application Centre (SAC) AGM-8 WMO/TD No. 1182 World Meteorological Organisation 7bis, Avenue de la Paix 1211 Geneva 2 Switzerland 2004 Published by World Meteorological Organisation 7bis, Avenue de la Paix 1211 Geneva 2, Switzerland World Meteorological Organisation All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written consent of the copyright owner. Typesetting and Printing : M/s Bishen Singh Mahendra Pal Singh 23-A New Connaught Place, P.O. Box 137, Dehra Dun -248001 (Uttaranchal), INDIA Ph.: 91-135-2715748 Fax- 91-135-2715107 E.mail: [email protected] Website: http://www.bishensinghbooks.com FOREWORD CONTENTS Satellite Remote Sensing and GIS Applications in Agricultural .... 1 Meteorology and WMO Satellite Activities – M.V.K. Sivakumar and Donald E. Hinsman Principles of Remote Sensing ......... 23 Shefali Aggarwal Earth Resource Satellites ......... 39 – Shefali Aggarwal Meteorological Satellites ......... 67 – C.M. Kishtawal Digital Image Processing ......... 81 – Minakshi Kumar Fundamentals of Geographical Information System ......... 103 – P.L.N. Raju Fundamentals of GPS ......... 121 – P.L.N. Raju Spatial Data Analysis ........ -
Mmm India Quarterly #17 January 2013
MMM INDIA QUARTERLY #17 JANUARY 2013 Will we return to the Moon under one flag? - That is the goal of the International Lunar Research Park Project MAJOR ARTICLES in this issue - (Full Index on last page) p. 19 Breakthrough Demonstration of 3D Printing With Moon Rocks (in News Section) p. 32 Hellas: a glimpse of the past, a tease of Basoomian mythology, and the future of Mars - Peter Kokh p. 34 The Planetary Society’s Bold “PlanetVac” Mars Sample Return Project - Peter Kokh p. 35 Moon & Mars - two Monochrome Worlds - Peter Kokh p. 36 Could we put an Outpost on Mercury? If so, why would we? - Peter Kokh p. 38 National Space Society’s Road Map to Space, Part IV: To the Moon - NSS website p. 41 Building Networks of Support for an International Lunar Geophysical Year - David Dunlop p. 44 Lori Garver - “NASA has not abandoned the Moon” - David Dunlop p. 45 Getting Indian Astronauts on the Moon - David Dunlop p. 47 Competition and Resolving Potential Conflicts in “the Asteroid Business” - David Dunlop Innovation: L>R: Spanish Titan Lake Boat, a 3D Printer, Planetary Society’s lightweight Mars Sample Return Probe 1 MMM INDIA QUARTERLY #17 JANUARY 2013 About The Moon Society - http://www,moonsociety.org Our Vision says Who We Are - We envision a future in, which the free enterprise human economy has expanded to include settlements on the Moon and elsewhere, contributing products and services that will foster a better life for all humanity on Earth and beyond, inspiring our youth, and fostering hope in an open-ended positive future for humankind. -
Cronología De Lanzamientos Espaciales
Cronología de lanzamientos espaciales Cronología de Lanzamientos Espaciales Año 2011 Copyright © 2009 by Eladio Miranda Batlle. All rights reserved. Los textos, imágenes y tablas que se encuentran en esta cronología cuentan con la autorización de sus propietarios para ser publicadas o se hace referencia a la fuente de donde se obtuvieron los mismos. Eladio Miranda Batlle [email protected] Cronología de lanzamientos espaciales Contenido 2011 Enero 20.05.2011 Telstar 14R (Estrela do Sul 2) 20.01.11 KH-12 USA224 20.05.2011 ST 2 / GSat 8 (Insat 4G) 20.01.11 Elektro-L 22.01.11 HTV 2 /Kounotori-2. Junio 28.01.11 Progress-M 09M/ARISSat 07.06.2011 Soyuz TMA-02M/27S Febrero 10.06.2011 Aquarius (SAC D, ESSP 6) 15.06.2011 Rasad 1 01.02.11 Cosmos 2470 Geo-lk-2 20.06.2011 ZX 10 (ChinaSat 10) 06.02.11 RPP (USA 225,NROL 66) 21.06.2011 Progress-M 11M 16.02.11 ATV 2 (Johannes Kepler) 27.06.2011 Kosmos 2472 (Yantar- 24.02.11 Discovery F39(STS133) 4K2M #7) /PMM(Leonardo)/ELC 4 30.06.2011 ORS 1 26.02.11 Kosmos 2471(Urangan-K1) Julio Marzo 06.07.2011 SJ 11-03 04.03.11 Glory/ E1P/ KySat 1/ 08.07.2011 Atlantis F33 (STS-135) Hermes MPLM 2-04 (Raffaello 05.03.11 X-37B OTV-2 (USA 226) F4) PSSC-Testbed 2 11.03.11 SDS-3 6(USA 227, NROL 11.07.2011 TL 1B (Tianlian) 27) 13.07.2011 Globalstar MO81/83/85/88/89/91 15.07.2011 GSat 12 Abril 15.07.2011 SES 3 / Kazsat 2 16.07.2011 GPS-2F 2 (Navstar 66, 04.04.11 Soyuz TMA 21 USA 231) 09.04.11 BD-2 13 18.07.2011 Spektr-R (Radio-Astron) 15.04.11 NOSS-35A (USA 229, 26.07.2011 BD-2 I4 NROL 34) 29.07.2011 SJ 11-02 20.04.11 -
Global Forest Monitoring from Earth Observation
16 Future Perspectives (Way Forward) Alan Belward and Frédéric Achard Joint Research Centre of the European Commission Matthew C. Hansen University of Maryland Olivier Arino European Space Agency CONTENTS 16.1 Introduction ..............................................................................................299 16.2 Future Earth Observation Technology ................................................. 301 16.3 Perspectives ..............................................................................................302 About the Contributors ......................................................................................303 References .............................................................................................................304 16.1 Introduction Satellites in polar orbits, like Landsat, image the entire planet’s surface every day or every couple of weeks, depending on the swath of the satellite overpass; images with detailed spatial measurements (1–30 m) are usually only available once or twice a month—for example Landsat 5 and 7 (image every 16 days at 30 m resolution)—while coarser resolution imagery (e.g., the MODIS sensor on Terra at 250 m or the SPOT satellites’ Vegetation sensor at 1 km) are provided nearly daily. Because the information is captured digitally, computers can be used to process, store, analyze, and distribute the data in a systematic manner. And because the same sensor on the same platform is gathering images for all points on the planet’s surface, these measurements are globally consistent