Geometric Correction of the Quickbird High Resolution Panchromatic Images
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Chisinau,Moldova,17-21 May 2010
Chisinau,Moldova,17-21 May 2010 Azerbaijan is an independent country located at the west coast of the Caspian Sea with a population of about 9 million and a territory of 86.6 thousand square kilometers. Azerbaijan is a country of rich mineral resources, including oil and gas and is known as a miraculous country with centuries-old history and ancient culture. As its well known space activities are the priority of as so called super power countries. National Aerospace Agency (NASA) of Azerbaijan was established in 1974. NASA of Azerbaijan is the main organization among the state organizations, which officially deals with aerospace researches in the Republic. NASA of Azerbaijan carries out works in different scientific fields, including Remote Sensing, astrophysics, development of space and air borne apparatus and equipments, designing of scientific devices. NASA of Azerbaijan was established to coordinate and establish scientific and industrial base for conducting fundamental and applied investigations in space researches of the Earth and application of results in the national economy of the country. NASA’s scientific and industrial activities related with the development of theoretical principles and design works and production of the system for gathering, processing, distribution and application of remote sensing data in order to investigate natural resources, land usage, environmental monitoring and forecasting of disaster events. Chisinau,Moldova,17-21 May 2010 InstituteInstitute for for Space Space ResearchResearch Institute Institute -
Remote Sensing for Drought Monitoring & Impact Assessment
1 Remote Sensing for Drought Monitoring & Impact Assessment: Progress, Past 2 Challenges and Future Opportunities 3 4 Harry West, Nevil Quinn & Michael Horswell 5 Centre for Water, Communities & Resilience; Department of Geography & Environmental 6 Management; University of the West of EnglanD, Bristol 7 8 CorresponDing Author: Harry West ([email protected]) 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 1 24 Remote Sensing for Drought Monitoring & Impact Assessment: Progress, Past 25 Challenges and Future Opportunities 26 27 Abstract 28 Drought is a common hydrometeorological phenomenon anD a pervasive global hazarD. As 29 our climate changes, it is likely that Drought events will become more intense anD frequent. 30 Effective Drought monitoring is therefore critical, both to the research community in 31 Developing an unDerstanDing of Drought, anD to those responsible for Drought management 32 anD mitigation. Over the past 50 years remote sensing has shifteD the fielD away from 33 reliance on traditional site-baseD measurements anD enableD observations anD estimates of 34 key drought-relateD variables over larger spatial anD temporal scales than was previously 35 possible. This has proven especially important in Data poor regions with limiteD in-situ 36 monitoring stations. Available remotely senseD Data proDucts now represent almost all 37 aspects of Drought propagation anD have contributeD to our unDerstanDing of the 38 phenomena. In this review we chart the rise of remote sensing for Drought monitoring, 39 examining key milestones anD technologies for assessing meteorological, agricultural anD 40 hyDrological Drought events. We reflect on challenges the research community has faceD to 41 Date, such as limitations associateD with Data recorD length anD spatial, temporal anD 42 spectral resolution. -
A Study of Trajectory Models for Satellite Image Triangulation
265-276_07-096.qxd 2/16/10 3:36 PM Page 265 A Study of Trajectory Models for Satellite Image Triangulation In-seong Jeong and James Bethel Abstract metric camera. In common use, it generally encompasses Many Spaceborne imagery products are provided with both the internal camera geometry as well as any relevant metadata or support data having diverse types, representa- platform motions. For exploitation of a particular image, the tions, frequencies, and conventions. According to the vari- variables and parameters of that model must be assigned ability of metadata, a compatible physical sensor model numerical values, either from calibration, acquisition time approach must be constructed. Among the three components auxiliary sensors, triangulation, or some combination thereof. of the sensor model, i.e., trajectory model, projection equa- Generally, sensor models fall into two categories: models tions, and parameter subset selection, the construction of the based on the explicit physical characteristics of the system, position and attitude trajectory is closely linked with the and replacement models with generic, polynomial form availability and type of support data. In this paper, we show (RPCs), whose numerical values are obtained by means of a how trajectory models can be implemented based on support physical model. For the purposes of this paper, we will data from six satellite image types: QuickBird, Hyperion, exclude from consideration any polynomial based models SPOT-3, ASTER, PRISM, and EROS-A. Triangulation for each (rubber sheet warping) for which numerical parameters are image is implemented to investigate the feasibility and assigned without reference to a physical model. A physi- suitability of the different trajectory models. -
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. -
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 ........ -
Users, Uses, and Value of Landsat Satellite Imagery— Results from the 2012 Survey of Users
Users, Uses, and Value of Landsat Satellite Imagery— Results from the 2012 Survey of Users By Holly M. Miller, Leslie Richardson, Stephen R. Koontz, John Loomis, and Lynne Koontz Open-File Report 2013–1269 U.S. Department of the Interior U.S. Geological Survey i U.S. Department of the Interior SALLY JEWELL, Secretary U.S. Geological Survey Suzette Kimball, Acting Director U.S. Geological Survey, Reston, Virginia 2013 For product and ordering information: World Wide Web: http://www.usgs.gov/pubprod Telephone: 1-888-ASK-USGS For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment: World Wide Web: http://www.usgs.gov Telephone: 1-888-ASK-USGS Suggested citation: Miller, H.M., Richardson, Leslie, Koontz, S.R., Loomis, John, and Koontz, Lynne, 2013, Users, uses, and value of Landsat satellite imagery—Results from the 2012 survey of users: U.S. Geological Survey Open-File Report 2013–1269, 51 p., http://dx.doi.org/10.3133/ofr20131269. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted material contained within this report. Contents Contents ......................................................................................................................................................... ii Acronyms and Initialisms ............................................................................................................................... -
Operational Aspects of Orbit Determination with GPS for Small Satellites with SAR Payloads Sergio De Florio, Tino Zehetbauer, Dr
Deutsches Zentrum Microwave and Radar Institute für Luft und Raumfahrt e.V. Department Reconnaissance and Security Operational Aspects of Orbit Determination with GPS for Small Satellites with SAR Payloads Sergio De Florio, Tino Zehetbauer, Dr. Thomas Neff Phone: +498153282357, [email protected] Abstract Requirements Scientific small satellite missions for remote sensing with Synthetic Taylor expansion of the phase Φ of the radar signal as a Aperture Radar (SAR) payloads or high accuracy optical sensors, pose very function of time varying position, velocity and acceleration: strict requirements on the accuracy of the reconstructed satellite positions, velocities and accelerations. Today usual GPS receivers can fulfill the 4π 233 Φ==++++()t Rtap ()()01kk apttaptt ()(-) 02030 ()(-) k aptt ()(-) k ο () t accuracy requirements of this missions in most cases, but for low-cost- λ missions the decision for a appropriate satellite hardware has to take into Typical requirements, for 0.5 to 1.0 m image resolution, on account not only the reachable quality of data but also the costs. An spacecraft position vector x: analysis is carried out in order to assess which on board and ground equipment, which type of GPS data and processing methods are most −−242 appropriate to minimize mission costs and full satisfying mission payload x≤≤⋅≤⋅ 15 mmsms x 1.5 10 / x 6.0 10 / (3σ ) requirements focusing the attention on a SAR payload. These are requirements on the measurements, not on the real motion of the satellite Required Hardware Typical Position -
Platforms & Sensors
PLATFORMS & SENSORS Platform: the vehicle carrying the remote sensing device Sensor: the remote sensing device recording wavelengths of energy e.g. Aerial photography - the plane and the camera Satellite image example: Platform: Landsat (1, 5, 7 etc..) Sensor: Multispectral Sensor (MSS) or Thematic Mapper (TM) Selected satellite remote sensing systems NASA Visible Earth: long list Wim Bakker's website http://members.home.nl/wim.h.bakker http://earthobservatory.nasa.gov/IOTD/view.php?id=52174 1. Satellite orbits “Sun-synchronous” “Geostationary” Land monitoring Weather satellites ~ 700 km altitude ~ 30,000 km altitude Satellite orbits Geostationary / geosynchronous : 36,000 km above the equator, stays vertically above the same spot, rotates with earth - weather images, e.g. GOES (Geostat. Operational Env. Satellite) Sun-synchronous satellites: 700-900 km altitude, rotates at circa 81-82 degree angle to equator: captures imagery approx the same time each day (10am +/- 30 minutes) - Landsat path: earthnow Sun-synchronous Graphic: http://ccrs.nrcan.gc.ca/resource/tutor/datarecept/c1p2_e.php 700-900 km altitude rotates at ~ 81-82 ° angle to the equator (near polar): captures imagery the same time each day (10.30am +/- 30 minutes) - for earth mapping Orbit every 90-100 minutes produces similar daytime lighting Geostationary satellites capture a (rectangular) scene, sun-synchronous satellites capture a continuous swath, … which is broken into rectangular scenes. 2. Scanner types Whiskbroom (mirror/ cross-track): a small number of sensitive diodes for each band sweep perpendicular to the path or swath, centred directly under the platform, i.e. at 'nadir' e.g. LANDSAT MSS /TM Pushbroom (along-track): an array of diodes (one for each column of pixels) is 'pointed' in a selected direction, nadir or off-nadir, on request, usually 0-30 degrees (max.), e.g. -
Argentine Space Program and Regional Cooperation
Argentine Space Program and Regional Cooperation Felix Menicocci Secretary General, CONAE United Nations/Turquey/European Space Agency Workshop on “Space Technology Applications for Socio-Economic Benefits” 14 – 17 September 2010, Istambul, Turkey CONAE-National Commission on Space Activities • CONAE is a specialized agency created in May 1991 to be in charge of national space activities • It is under the authority of the Ministry of Foreign Affairs, International Trade and Worship It has a Strategic Plan: the National Space Program, issued in 1995 and revised periodically, the latest version is 2008-2015. The National Space Program The Space Program particularly emphasizes the use and scope of the concept of “Space Information Cycle ” The concept comprises the set of information from space which together with information from other sources, will have a relevant impact on certain socioeconomic activities within the country. The National Space Program Six information cycles have been defined in topics such as: agricultural, fishing and forest activities climate, hydrology and oceanography disaster management monitoring of environment and natural resources cartography, geology and mining production health applications Courses of Action Satellite Access to Missions Space CONAE Ground Information Infrastructure Systems Institutional Development Ground Infrastructure : Córdoba Space Center Ground Infrastructure : Córdoba Space Center Córdoba Space Center Córdoba Ground Station and planned antenae footprints Satellite Systems The National -
Radar Earth Observation Imagery for Urban Area Characterisation
Radar Earth Observation Imagery for Urban Area Characterisation Katrin Molch EUR 23780 EN - 2009 The mission of the JRC-IPSC is to provide research results and to support EU policy-makers in their effort towards global security and towards protection of European citizens from accidents, deliberate attacks, fraud and illegal actions against EU policies. European Commission Joint Research Centre Institute for the Protection and Security of the Citizen Contact information Address: Via E. Fermi 2749, TP 267 E-mail: [email protected] Tel.: +39 0332 78 5777 Fax: +39 0332 78 5154 http://isferea.jrc.ec.europa.eu/ http://ses.jrc.it/ http://ipsc.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Free phone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC 50451 EUR 23780 EN ISBN 978-92-79-11731-2 ISSN 1018-5593 DOI 10.2788/8453 Luxembourg: Office for Official Publications of the European Communities © European Communities, 2009 Reproduction is authorised provided the source is acknowledged Printed in Luxembourg Table of Contents Table of Contents.................................................................................................................................................... -
List of Satellite Missions (By Year and Sponsoring
Launch Year EO Satellite Mission (and sponsoring agency) 2008 CARTOSAT-2A (ISRO) 1967 Diademe 1&2 (CNES) 2008 FY-3A (NSMC-CMA / NRSCC) 1975 STARLETTE (CNES) 2008 OSTM (Jason-2) (NASA / NOAA / CNES / EUMETSAT) 1976 LAGEOS-1 (NASA / ASI) 2008 RapidEye (DLR) 1992 LAGEOS-2 (ASI / NASA) 2008 HJ-1A (CRESDA / CAST) 1993 SCD-1 (INPE) 2008 HJ-1B (CRESDA / CAST) 1993 STELLA (CNES) 2008 THEOS (GISTDA) 1997 DMSP F-14 (NOAA / USAF) 2008 COSMO-SkyMed 3 (ASI / MoD (Italy)) 1997 Meteosat-7 (EUMETSAT / ESA) 2008 FY-2E (NSMC-CMA / NRSCC) 1997 TRMM (NASA / JAXA) 2009 GOSAT (JAXA / MOE (Japan) / NIES (Japan)) 1998 NOAA-15 (NOAA) 2009 NOAA-19 (NOAA) 1998 SCD-2 (INPE) 2009 RISAT-2 (ISRO) 1999 Landsat 7 (USGS / NASA) 2009 GOES-14 (NOAA) 1999 QuikSCAT (NASA) 2009 UK-DMC2 (UKSA) 1999 Ikonos-2 2009 Deimos-1 1999 Ørsted (Oersted) (DNSC / CNES) 2009 Meteor-M N1 (ROSHYDROMET / ROSKOSMOS) 1999 DMSP F-15 (NOAA / USAF) 2009 OCEANSAT-2 (ISRO) 1999 Terra (NASA / METI / CSA) 2009 DMSP F-18 (NOAA / USAF) 1999 ACRIMSAT (NASA) 2009 SMOS (ESA / CDTI / CNES) 2000 NMP EO-1 (NASA) 2010 GOES-15 (NOAA) 2001 Odin (SNSB / TEKES / CNES / CSA) 2010 CryoSat-2 (ESA) 2001 QuickBird-2 2010 TanDEM-X (DLR) 2001 PROBA (ESA) 2010 COMS (KARI) 2002 GRACE (NASA / DLR) 2010 AISSat-1 (NSC) 2002 Aqua (NASA / JAXA / INPE) 2010 CARTOSAT-2B (ISRO) 2002 SPOT-5 (CNES) 2010 FY-3B (NSMC-CMA / NRSCC) 2002 Meteosat-8 (EUMETSAT / ESA) 2010 COSMO-SkyMed 4 (ASI / MoD (Italy)) 2002 KALPANA-1 (ISRO) 2011 Elektro-L N1 (ROSKOSMOS / ROSHYDROMET) 2003 CORIOLIS (DoD (USA)) 2011 RESOURCESAT-2 (ISRO) 2003 SORCE (NASA) -
Remote Sensing Satellites
Online Journal of Space Communication Volume 2 Issue 3 Remote Sensing of Earth via Satellite Article 5 (Winter 2003) January 2003 Introduction to Remote Sensing: Remote Sensing Satellites Hugh Bloemer Dale Quattrochi Follow this and additional works at: https://ohioopen.library.ohio.edu/spacejournal Part of the Astrodynamics Commons, Navigation, Guidance, Control and Dynamics Commons, Space Vehicles Commons, Systems and Communications Commons, and the Systems Engineering and Multidisciplinary Design Optimization Commons Recommended Citation Bloemer, Hugh and Quattrochi, Dale (2003) "Introduction to Remote Sensing: Remote Sensing Satellites," Online Journal of Space Communication: Vol. 2 : Iss. 3 , Article 5. Available at: https://ohioopen.library.ohio.edu/spacejournal/vol2/iss3/5 This Articles is brought to you for free and open access by the OHIO Open Library Journals at OHIO Open Library. It has been accepted for inclusion in Online Journal of Space Communication by an authorized editor of OHIO Open Library. For more information, please contact [email protected]. Bloemer and Quattrochi: Introduction to Remote Sensing: Remote Sensing Satellites EROS A & B EROS (Earth Remote Observation System) A1 was launched in December 2000 as the first constellation of eight high-resolution imaging satellites to be launched between year 2001 and 2005. EROS satellites are high performance, low cost, light, and agile and have been designed for low earth orbit (LEO). The satellites are owned and operated by ImageSat International. This Cyprus-based company was established in 1997 by a consortium of leading satellite, sensor and information management companies and information producers around the world. In February 2001, a couple of months after EROS A1 was launched, ImageSat decided to forgo the production and launch of its planned EROS A2 satellite.