Civilian Satellite Remote Sensing: a Strategic Approach
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OSTM/Jason-2 Products Handbook
OSTM/Jason-2 Products Handbook References: CNES : SALP-MU-M-OP-15815-CN EUMETSAT : EUM/OPS-JAS/MAN/08/0041 JPL: OSTM-29-1237 NOAA : Issue: 1 rev 0 Date: 17 June 2008 OSTM/Jason-2 Products Handbook Iss :1.0 - date : 17 June 2008 i.1 Chronology Issues: Issue: Date: Reason for change: 1rev0 June 17, 2008 Initial Issue People involved in this issue: Written by (*) : Date J.P. DUMONT CLS V. ROSMORDUC CLS N. PICOT CNES S. DESAI NASA/JPL H. BONEKAMP EUMETSAT J. FIGA EUMETSAT J. LILLIBRIDGE NOAA R. SHARROO ALTIMETRICS Index Sheet : Context: Keywords: Hyperlink: OSTM/Jason-2 Products Handbook Iss :1.0 - date : 17 June 2008 i.2 List of tables and figures List of tables: Table 1 : Differences between Auxiliary Data for O/I/GDR Products 1 Table 2 : Summary of error budget at the end of the verification phase 9 Table 3 : Main features of the OSTM/Jason-2 satellite 11 Table 4 : Mean classical orbit elements 16 Table 5 : Orbit auxiliary data 16 Table 6 : Equator Crossing Longitudes (in order of Pass Number) 18 Table 7 : Equator Crossing Longitudes (in order of Longitude) 19 Table 8 : Models and standards 21 Table 9 : CLS01 MSS model characteristics 22 Table 10 : CLS Rio 05 MDT model characteristics 23 Table 11 : Recommended editing criteria 26 Table 12 : Recommended filtering criteria 26 Table 13 : Recommended additional empirical tests 26 Table 14 : Main characteristics of (O)(I)GDR products 40 Table 15 - Dimensions used in the OSTM/Jason-2 data sets 42 Table 16 - netCDF variable type 42 Table 17 - Variable’s attributes 43 List of figures: Figure 1 -
Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter
VOLUME 28 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY APRIL 2011 Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter YVES QUILFEN Space Oceanography Laboratory, IFREMER, Plouzane´, France DOUG VANDEMARK Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire BERTRAND CHAPRON Space Oceanography Laboratory, IFREMER, Plouzane´, France HUI FENG Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire JOE SIENKIEWICZ Ocean Prediction Center, NCEP/NOAA, Camp Springs, Maryland (Manuscript received 21 September 2010, in final form 29 November 2010) ABSTRACT A new model is provided for estimating maritime near-surface wind speeds (U10) from satellite altimeter backscatter data during high wind conditions. The model is built using coincident satellite scatterometer and altimeter observations obtained from QuikSCAT and Jason satellite orbit crossovers in 2008 and 2009. The new wind measurements are linear with inverse radar backscatter levels, a result close to the earlier altimeter high wind speed model of Young (1993). By design, the model only applies for wind speeds above 18 m s21. Above this level, standard altimeter wind speed algorithms are not reliable and typically underestimate the true value. Simple rules for applying the new model to the present-day suite of satellite altimeters (Jason-1, Jason-2, and Envisat RA-2) are provided, with a key objective being provision of enhanced data for near-real- time forecast and warning applications surrounding gale to hurricane force wind events. Model limitations and strengths are discussed and highlight the valuable 5-km spatial resolution sea state and wind speed al- timeter information that can complement other data sources included in forecast guidance and air–sea in- teraction studies. -
Generation of GOES-16 True Color Imagery Without a Green Band
Confidential manuscript submitted to Earth and Space Science 1 Generation of GOES-16 True Color Imagery without a Green Band 2 M.K. Bah1, M. M. Gunshor1, T. J. Schmit2 3 1 Cooperative Institute for Meteorological Satellite Studies (CIMSS), 1225 West Dayton Street, 4 Madison, University of Wisconsin-Madison, Madison, Wisconsin, USA 5 2 NOAA/NESDIS Center for Satellite Applications and Research, Advanced Satellite Products 6 Branch (ASPB), Madison, Wisconsin, USA 7 8 Corresponding Author: Kaba Bah: ([email protected]) 9 Key Points: 10 • The Advanced Baseline Imager (ABI) is the latest generation Geostationary Operational 11 Environmental Satellite (GOES) imagers operated by the U.S. The ABI is improved in 12 many ways over preceding GOES imagers. 13 • There are a number of approaches to generating true color images; all approaches that use 14 the GOES-16 ABI need to first generate the visible “green” spectral band. 15 • Comparisons are shown between different methods for generating true color images from 16 the ABI observations and those from the Earth Polychromatic Imaging Camera (EPIC) on 17 Deep Space Climate Observatory (DSCOVR). 18 Confidential manuscript submitted to Earth and Space Science 19 Abstract 20 A number of approaches have been developed to generate true color images from the Advanced 21 Baseline Imager (ABI) on the Geostationary Operational Environmental Satellite (GOES)-16. 22 GOES-16 is the first of a series of four spacecraft with the ABI onboard. These approaches are 23 complicated since the ABI does not have a “green” (0.55 µm) spectral band. Despite this 24 limitation, representative true color images can be built. -
Editorial for the Special Issue “Remote Sensing of Clouds”
remote sensing Editorial Editorial for the Special Issue “Remote Sensing of Clouds” Filomena Romano Institute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, Italy; fi[email protected] Received: 7 December 2020; Accepted: 8 December 2020; Published: 14 December 2020 Keywords: clouds; satellite; ground-based; remote sensing; meteorology; microphysical cloud parameters Remote sensing of clouds is a subject of intensive study in modern atmospheric remote sensing. Cloud systems are important in weather, hydrological, and climate research, as well as in practical applications. Because they affect water transport and precipitation, clouds play an integral role in the Earth’s hydrological cycle. Moreover, they impact the Earth’s energy budget by interacting with incoming shortwave radiation and outgoing longwave radiation. Clouds can markedly affect the radiation budget, both in the solar and thermal spectral ranges, thereby playing a fundamental role in the Earth’s climatic state and affecting climate forcing. Global changes in surface temperature are highly sensitive to the amounts and types of clouds. Hence, it is not surprising that the largest uncertainty in model estimates of global warming is due to clouds. Their properties can change over time, leading to a planetary energy imbalance and effects on a global scale. Optical and thermal infrared remote sensing of clouds is a mature research field with a long history, and significant progress has been achieved using both ground-based and satellite instrumentation in the retrieval of microphysical cloud parameters. This Special Issue (SI) presents recent results in ground-based and satellite remote sensing of clouds, including innovative applications for meteorology and atmospheric physics, as well as the validation of retrievals based on independent measurements. -
Dear Dr. Saverio Mori, Thank You Very Much for Kindly Inviting Us To
Dear Dr. Saverio Mori, Thank you very much for kindly inviting us to submit a revised manuscript titled “Simulating precipitation radar observations from a geostationary satellite” to Atmospheric Measurement Techniques. We would also appreciate the time and effort you and the reviewers have dedicated to providing insightful feedback on the ways to strengthen our paper. We would like to submit our revised manuscript. We have incorporated changes that reflect the suggestions you and the reviewers have provided. We hope that the revisions properly address the suggestions and comments. Sincerely, A. Okazaki, T. Honda, S. Kotsuki, M. Yamaji, T. Kubota, R. Oki, T. Iguchi, and T. Miyoshi The reviewer comments are in blue and italic and the replies are in black. Anonymous Referee #1 The manuscript presents the usefulness of a “feasible” Ku-band precipitation radar for a geostationary satellite (GeoSat/PR). It is an effort ongoing at JAXA to overcome two limitations of orbiting radar-based systems such as TRMM or GPM, namely, the limited swath and revisit time. A geostationary satellite needs a larger antenna than TRMM PR and GPM KuPR. A 20-m antenna for a 20 km footprint is considered in the study for its feasibility. The scan of the radar is within 6◦ that makes measurements available for a circular disk with a diameter of 8400 km. Effects of Non Uniform Beam Filling (NUBF) and clutter are presented usng an extremely simple cloud model. The impact of coarse resolutions of the GeoSat/PR is quantified on 3-D Typhoon observations obtained with realistic simulations. The subject of is important and the manuscript is, in general, well written. -
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. -
Radar Remote Sensing - S
GEOINFORMATICS – Vol. I - Radar Remote Sensing - S. Quegan RADAR REMOTE SENSING S. Quegan Sheffield Centre for Earth Observation Science, University of Sheffield, U.K. Keywords: Scatterometry, altimetry, synthetic aperture radar, SAR, microwaves, scattering models, geocoding, radargrammetry, interferometry, differential interferometry, topographic mapping, digital elevation model, agriculture, forestry, hydrology, soil moisture, earthquakes, floods, oceanography, sea ice, land ice, snow Contents 1. Introduction 2. Basic Properties of Radar Systems 3. Characteristics of Radar Systems 4. What a Radar Measures 5. Radar Sensors and Their Applications 6. Synthetic Aperture Radar Applications 7. Future Prospects Glossary Bibliography Biographical Sketch Summary Radar sensors transmit radiation at radio wavelengths (i.e. from around 1 cm to several meters) and use the measured return to infer properties of the earth’s surface. The surface properties affecting the return (of which the most important are the dielectric constant and geometrical structure) are very different from those determining observations at optical and infrared frequencies. Hence radar offers distinctive perspectives on the earth. In addition, the transparency of the atmosphere at radar wavelengths means that cloud does not prevent observation of the earth, so radar is well suited to monitoring purposes. Three types of spaceborne radar instrument are particularly important. Scatterometers make very accurate measurements of the backscatter fromUNESCO the earth, their most impor –tant EOLSSuse being to derive wind speeds and directions over the ocean. Altimeters measure the distance between the satellite platform and the surface to centimetric accuracy, from which several important geophysical quantities can be recovered, such as the topography of the ocean surface and its variation, oceanSAMPLE currents, significant wave height, CHAPTERS and the mass balance and dynamics of the major ice sheets. -
Toward 1-Mgal Accuracy in Global Marine Gravity from Cryosat-2, Envisat, and Jason-1
SPECIALGravity SECTION: and G rpotential a v i t y and fieldspotential fields Toward 1-mGal accuracy in global marine gravity from CryoSat-2, Envisat, and Jason-1 DAVID SANDWELL and EMMANUEL GARCIA, Scripps Institution of Oceanography KHALID SOOFI, ConocoPhillips PAUL WESSEL and MICHAEL CHANDLER, University of Hawaii at Mānoa WALTER H. F. SMITH, National Oceanic and Atmospheric Administration ore than 60% of the Earth’s land and shallow contribution to gravity field improvement, especially Mmarine areas are covered by > 2 km of sediments in the Arctic where the closely spaced repeat tracks can and sedimentary rocks, with the thickest accumulations collect data over unfrozen areas as the ice cover changes on rifted continental margins (Figure 1). Free-air marine (Childers et al., 2012). gravity anomalies derived from Geosat and ERS-1 satellite 3) The Jason-1 satellite was launched in 2001 to replace the altimetry (Fairhead et al., 2001; Sandwell and Smith, 2009; aging Topex/Poseidon satellite. To avoid a potential colli- Andersen et al., 2009) outline most of these major basins sion between Jason 1 and Topex, the Jason-1 satellite was with remarkable precision. Moreover, gravity and bathymetry moved into a lower orbit with a long repeat time of 406 data derived from altimetry are used to identify current and days resulting in an average ground-track spacing of 3.9 paleo-submarine canyons, faults, and local recent uplifts. km at the equator. The maneuver was performed in May These geomorphic features provide clues to where to look 2012 and the satellite is collecting a tremendous new data for large deposits of sediments. -
Proceedings of the Nimbus Program Review
X-650-62-226 J, / N63 18601--N 63 18622 _,_-/ PROCEEDINGS OF THE NIMBUS PROGRAM REVIEW OTS PRICE XEROX S _9, ,_-_ MICROFILM $ Jg/ _-"/_j . J"- O NOVEMBER 14-16, 1962 PROCEEDINGS OF THE NIMBUS PROGRAM REVIEW \ November 14-16, 1962 GODDARD SPACE FLIGHT CENTER Greenbelt, Md. NATIONAL AERONAUTICS AND SPACE ADMINISTRATION GODDARD SPACE FLIGHT CENTER PROCEEDINGS OF THE NIMBUS PROGRAM REVIEW FOREWORD The Nimbus program review was conducted at the George Washington Motor Lodge and at General Electric Missiles and Space Division, Valley Forge, Pennsylvania, on November 14, 15, and 16, 1962. The purpose of the review was twofold: first, to present to top management of the Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Headquarters, other NASA elements, Joint Meteorological Satellite Advisory Committee (_MSAC), Weather Bureau, subsystem contractors, and others, a clear picture of the Nimbus program, its organization, its past accomplishments, current status, and remaining work, emphasizing the continuing need and opportunity for major contributions by the industrial community; second, to bring together project and contractor technical personnel responsible for the planning, execution, and support of the integration and test of the spacecraft to be initiated at General Electric shortly. This book is a compilation of the papers presented during the review and also contains a list of those attending. Harry P_ress Nimbus Project Manager CONTENTS FOREWORD lo INTRODUCTION TO NIMBUS by W. G. Stroud, GSFC _o THE NIMBUS PROJECT-- ORGANIZATION, PLAN, AND STATUS by H. Press, GSFC o METEOROLOGICAL APPLICATIONS OF NIMBUS DATA by E.G. Albert, U.S. -
Fundamentals of Remote Sensing
Fundamentals of Remote Sensing A Canada Centre for Remote Sensing Remote Sensing Tutorial Natural Resources Ressources naturelles Canada Canada Fundamentals of Remote Sensing - Table of Contents Page 2 Table of Contents 1. Introduction 1.1 What is Remote Sensing? 5 1.2 Electromagnetic Radiation 7 1.3 Electromagnetic Spectrum 9 1.4 Interactions with the Atmosphere 12 1.5 Radiation - Target 16 1.6 Passive vs. Active Sensing 19 1.7 Characteristics of Images 20 1.8 Endnotes 22 Did You Know 23 Whiz Quiz and Answers 27 2. Sensors 2.1 On the Ground, In the Air, In Space 34 2.2 Satellite Characteristics 36 2.3 Pixel Size, and Scale 39 2.4 Spectral Resolution 41 2.5 Radiometric Resolution 43 2.6 Temporal Resolution 44 2.7 Cameras and Aerial Photography 45 2.8 Multispectral Scanning 48 2.9 Thermal Imaging 50 2.10 Geometric Distortion 52 2.11 Weather Satellites 54 2.12 Land Observation Satellites 60 2.13 Marine Observation Satellites 67 2.14 Other Sensors 70 2.15 Data Reception 72 2.16 Endnotes 74 Did You Know 75 Whiz Quiz and Answers 83 Canada Centre for Remote Sensing Fundamentals of Remote Sensing - Table of Contents Page 3 3. Microwaves 3.1 Introduction 92 3.2 Radar Basic 96 3.3 Viewing Geometry & Spatial Resolution 99 3.4 Image distortion 102 3.5 Target interaction 106 3.6 Image Properties 110 3.7 Advanced Applications 114 3.8 Polarimetry 117 3.9 Airborne vs Spaceborne 123 3.10 Airborne & Spaceborne Systems 125 3.11 Endnotes 129 Did You Know 131 Whiz Quiz and Answers 135 4. -
Civilian Satellite Remote Sensing: a Strategic Approach
Civilian Satellite Remote Sensing: A Strategic Approach September 1994 OTA-ISS-607 NTIS order #PB95-109633 GPO stock #052-003-01395-9 Recommended citation: U.S. Congress, Office of Technology Assessment, Civilian Satellite Remote Sensing: A Strategic Approach, OTA-ISS-607 (Washington, DC: U.S. Government Printing Office, September 1994). For sale by the U.S. Government Printing Office Superintendent of Documents, Mail Stop: SSOP. Washington, DC 20402-9328 ISBN 0-16 -045310-0 Foreword ver the next two decades, Earth observations from space prom- ise to become increasingly important for predicting the weather, studying global change, and managing global resources. How the U.S. government responds to the political, economic, and technical0 challenges posed by the growing interest in satellite remote sensing could have a major impact on the use and management of global resources. The United States and other countries now collect Earth data by means of several civilian remote sensing systems. These data assist fed- eral and state agencies in carrying out their legislatively mandated pro- grams and offer numerous additional benefits to commerce, science, and the public welfare. Existing U.S. and foreign satellite remote sensing programs often have overlapping requirements and redundant instru- ments and spacecraft. This report, the final one of the Office of Technolo- gy Assessment analysis of Earth Observations Systems, analyzes the case for developing a long-term, comprehensive strategic plan for civil- ian satellite remote sensing, and explores the elements of such a plan, if it were adopted. The report also enumerates many of the congressional de- cisions needed to ensure that future data needs will be satisfied. -
Introduction to Remote Sensing
SESSION #2 Introduction to Remote Sensing Presenters: David Hunt and Jenny Hewson Session #2 Outline • Overview of remote sensing concepts • History of remote sensing • Current remote sensing technologies for land management 2 What Is Earth Observation and Remote Sensing? • “Obtaining information from an object without being in direct contact with it.” • More specifically, “obtaining information from the land surface through sensors mounted on aerial or satellite platforms.” Photo credit NAS Photo credit NASA A 3 Earth Observation Data and Tools Are Used to: • Monitor change • Alert to threats • Inform land management decisions • Track progress towards goals (such as REDD+, the UN's Sustainable Development Goals (SDGs), etc.) 4 Significance of Earth Observation Improving sustainable land management using Earth Observation is critical for: • Monitoring ecological threats (deforestation & fires) to territories • Mapping & resolving land tenure conflicts • Increasing knowledge about land use and dynamics • Mapping indigenous land boundaries and understanding their context within surrounding areas • Monitoring biodiversity 5 Deforestation Monitoring ESA video showing deforestation in Rondonia, Brazil from 1986 to 2010 6 Forest Fire Monitoring 7 Monitoring Land Use Changes 8 Monitoring Illegal Logging with Acoustic Alerts 1) Chainsaw noise is detected by 2) Acoustic sensors send alerts via acoustic sensors e-mail 1 km detection radius per sensor 9 Monitoring Biodiversity with Camera Traps • Identify and track species • Discover trends of how populations are changing • Use in ecotourism to raise awareness of conservation • https://www.wildlifeinsights.org/ 10 Land cover Dynamics 11 Mapping Land Boundaries • Participatory Mapping using Satellite imagery • Example from session #1 with the COMUNIDAD NATIVA ALTO MAYO 12 Satellite Remote Sensing What Are the Components of a Remote Sensing Stream? 1.