The Airborne Imaging Spectrometer APEX (Airborne Prism EXperiment)
|
|
|
- Gilbert West
- 8 years ago
- Views:
Transcription
1 The Airborne Imaging Spectrometer APEX (Airborne Prism EXperiment) The APEX Team: Klaus Itten, Michael Schaepman, Daniel Schläpfer, Johannes W. Kaiser, Jason Brazile (RSL) Walter Debruyn, Koen Meuleman, Ils Reusen, Pieter Kempeneers, Bart Deronde (VITO) Andreas Neukom, Hans Feusi, Peter Adolph, Renzo Moser, Thomas Schilliger (HTS) Lieve De Vos, Guido Brandt (OIP) Peter Kohler, Markus Meng, Jens Piesbergen (Netcetera) Peter Strobl (DLR) Jose Gavira, Gerd Ulbrich and Roland Meynart (ESA) 1
2 Historical Development Airborne Imaging Spectrometers / Hyperspectral sensors GER Mark II Airborne Infrared Spectroradiometer, HYDICE Arizona Imager Spectrograph, MIVIS, CASI, SASI, ROSIS NASA AIS 1, AIS 2 and AVIRIS; DAIS 7915, SFSI, HyMap Spaceborne Imaging Spectrometers / Hyperspectral sensors Warfighter/OrbView4, Hyperion/EO-1, COIS/ NEMO, CHRIS/PROBA 2
3 Scope of APEX APEX is an airborne instrument to support the development of ESA s future spaceborne imaging spectrometer missions testbed function. APEX will be able to Simulate, Calibrate, and Validate the planned and active European imaging spectrometer and hyperspectral missions (SPECTRA, MERIS, ) logistic function. APEX will foster the use of imaging spectrometer data in Europe and will support the application development of imaging spectroscopy products scientific function. 3
4 APEX Selected Specifications Pushbroom design; total FOV 28 deg IFOV 0.49 mrad (spatial resolution across slit) Operating altitudes between 3-10 km a.s.l.; spatial resolution 2-5 m Total of across-track pixels 1024 for both detectors Spectral range nm Total spectral pixels on chip, prior to binning 312 (VNIR) (SWIR) Total spectral bands supported by the electronics 300, resulting in a spectral sampling interval of 5 (10) nm in VNIR and 10 nm in SWIR Reprogrammable on-chip binning of spectral bands (using software upload) The system will be optimized for coregistration (and smile, frown), polarization (MERIS scrambler inheritance), stray light and ghost images. 4
5 APEX : Spectrometer Design 5
6 APEX Timeline 1/96 7/96 8/96 2/9810/98 3/00 7/02 11/04 1/05 1/10 Pre Phase A Phase A Feasibility Study of APIS and AMIRIS Feasibility Study of APEX and Critical Design Review (CCN2) Phase B Detail Specifications and Breadboards Phase C/D Hardware Construction and Implementation Phase E Post Phase E ESA Operation and Exploitation 6
7 APEX Programmatics Phase C/D ESA Team Science Team Operations Team Industrial Team PRODEX Technical Officer José Gavira Izquierdo Principal Investigator Klaus Itten Co-Investigator Walter Debruyn Industrial Prime HTS AG EO Instrument Pre-Development Office Instrument Manager Gerd Ulbrich Instrument Scientist Michael Schaepman Instrument Operations Koen Meuleman Optical Subsystem OIP Sensor Systems EO Instrument Pre-Development Office Detector Development Roland Meynart Processing Scientist Daniel Schläpfer Processing Operations Pieter Kempeneers Electronic Subsystem Netcetera AG ESA Contracts Officer Ulrich Sterzl Calibration Scientist Johannes Kaiser Flight Operations Bart Deronde SWIR Detectors Sofradir IT Scientist Jason Brazile Calibration Home Base DLR 7
8 Vito & Airborne IS deployments 1998 DAIS 7915-campaign 1999 et sed APEX conception and construction for 2000 CASI campaigns (APEX vicarious calibration site) 2001 CASI campaigns (APEX vicarious calibration site) 2002 CASI-SASI campaigns to support Belgian Universities and Scientific User Groups 2003 CASI-TIR campaigns to support Belgian Universities and Scientific User Groups 2004 CASI-xyz (?) campaigns throughout abc (?) 2005 et sed APEX exploitation 8
9 Airborne Hardware 2002 Deployment GPS Do 228 Applanix POS/AV 210 IMU Shock Mounts CASI Gyro Box SWIR Ground Station GPS 9
10 CASI/SWIR Campaign
11 CASI/SWIR Campaign 2002 Belgian Site details CS1 / Balen (Heavy metals stress in plants) dr Piet Seuntjens CS2 / Lorraine (Soil surface organic matter estimation / Grassland canopy characterisation) prof Bernard Tychon / prof Robert Oger CS4 / Gent (Spatial information extraction, Urban areas) prof Rudi Goossens CS5 / Dijle (Moisture gradients) prof Okke Batelaan CS7 / Pijnven (Plant vitality) / Gorsem (Plant stress in horticulture) prof Pol Coppin CS8 / Schelde (Coastal biogeochemistry) prof Marc Acheroy 11
12 CASI/SWIR Campaign 2002 Data delivery 12 February 2003 : radiometrically & geometrically corrected CASI data sent to all User Groups 14 March 2003 : fully corrected CASI data sent to all User Groups 27 May 2003 : fully corrected SASI data sent to the Users (except SE data) 7 June 2003 : fully corrected SASI data sent to the Schelde team 12
13 Aim of this CASI/SWIR Workshop Give feed-back to campaign organizers (OSTC and Vito) Stimulate interaction between UK/B User Groups Discuss / interchange experiences & results Exchange data cubes Form alliances for future campaigns, calls for proposal, News on CASI/TIR 2003 Campaign 13
INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor
INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor José-Antonio Gómez-Sánchez gomezsj@inta.es Remote Sensing Laboratory INSTITUTO NACIONAL DE TÉCNICA AEROESPACIAL
EnMAP. Environmental Mapping and Analysis Program. Kaufmann et al., 2005 GeoForschungsZentrum Potsdam charly@gfz-potsdam.de
EnMAP Environmental Mapping and Analysis Program Kaufmann et al., 2005 GeoForschungsZentrum Potsdam charly@gfz-potsdam.de 4th ESA Chris Proba Workshop ESA-ESRIN Frascat, Italy Introduction In 2003 DLR-Agency
Towards agreed data quality layers for airborne hyperspectral imagery
Towards agreed data quality layers for airborne hyperspectral imagery M. Bachmann, DLR M. Bachmann, DLR, S. Adar, TAU; E. Ben-Dor, TAU; J. Biesemans, VITO; X. Briottet, ONERA; M. Grant, PML; J. Hanus,
Crop Drought Stress Monitoring by Remote Sensing (DROSMON) Overview. Werner Schneider
Crop Drought Stress Monitoring by Remote Sensing (DROSMON) Overview Werner Schneider Institut of Surveying, Remote Sensing and Land Information Department of Landscape, Spatial and Infrastructure Sciences
Passive Remote Sensing of Clouds from Airborne Platforms
Passive Remote Sensing of Clouds from Airborne Platforms Why airborne measurements? My instrument: the Solar Spectral Flux Radiometer (SSFR) Some spectrometry/radiometry basics How can we infer cloud properties
Introduction to Hyperspectral Image Analysis
Introduction to Hyperspectral Image Analysis Background Peg Shippert, Ph.D. Earth Science Applications Specialist Research Systems, Inc. The most significant recent breakthrough in remote sensing has been
INSPIRE implementation pilot project
INSPIRE implementation pilot project Implementation of INSPIRE directive in Hungarian e-environment sector KEOP-7.6.3.0-2008-0020 Tamás Tomor PhD, project manager Trans-Tisza Environmental Inspectorate
Use of hyperspectral data for deriving vegetation types in Savannahs in Central Namibia
Use of hyperspectral data for deriving vegetation types in Savannahs in Central Namibia Lena Lieckfeld a*, Jens Oldeland b, Bettina Weber, Christoph Schultz c, Andreas Müller a, Michael Schmidt a, Norbert
APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING. Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO***
APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO*** *National Institute for Agro-Environmental Sciences 3-1-3 Kannondai Tsukuba
Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction
Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction Content Remote sensing data Spatial, spectral, radiometric and
LiDAR for vegetation applications
LiDAR for vegetation applications UoL MSc Remote Sensing Dr Lewis plewis@geog.ucl.ac.uk Introduction Introduction to LiDAR RS for vegetation Review instruments and observational concepts Discuss applications
Using Remote Sensing to Monitor Soil Carbon Sequestration
Using Remote Sensing to Monitor Soil Carbon Sequestration E. Raymond Hunt, Jr. USDA-ARS Hydrology and Remote Sensing Beltsville Agricultural Research Center Beltsville, Maryland Introduction and Overview
High Resolution, High Speed, Hyperspectral Cameras for Laboratory, Industrial and Airborne Applications.
High Resolution, High Speed, Hyperspectral Cameras for Laboratory, Industrial and Airborne Applications. Norsk Elektro Optikk AS P.O.Box 384, Solheimveien 62A, N-1471 Lørenskog, NORWAY Phone: +47 67 97
How To Use A Hyperspectral Sensor
Projects MINEO and HyperGreen: airborne hyperspectral data acquisition in East Greenland for environmental monitoring and mineral exploration Tapani Tukiainen In remote sensing terminology the word hyperspectral
THE SPECTRAL DIMENSION IN URBAN LAND COVER MAPPING FROM HIGH - RESOLUTION OPTICAL REMOTE SENSING DATA *
THE SPECTRAL DIMENSION IN URBAN LAND COVER MAPPING FROM HIGH - RESOLUTION OPTICAL REMOTE SENSING DATA * Martin Herold 1, Meg Gardner 1, Brian Hadley 2 and Dar Roberts 1 1 Department of Geography, University
Fig.1. The DAWN spacecraft
Introduction Optical calibration of the DAWN framing cameras G. Abraham,G. Kovacs, B. Nagy Department of Mechatronics, Optics and Engineering Informatics Budapest University of Technology and Economics
Resolutions of Remote Sensing
Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands) 3. Temporal (time of day/season/year) 4. Radiometric (color depth) Spatial Resolution describes how
CROP CLASSIFICATION WITH HYPERSPECTRAL DATA OF THE HYMAP SENSOR USING DIFFERENT FEATURE EXTRACTION TECHNIQUES
Proceedings of the 2 nd Workshop of the EARSeL SIG on Land Use and Land Cover CROP CLASSIFICATION WITH HYPERSPECTRAL DATA OF THE HYMAP SENSOR USING DIFFERENT FEATURE EXTRACTION TECHNIQUES Sebastian Mader
CBERS Program Update Jacie 2011. Frederico dos Santos Liporace AMS Kepler liporace@amskepler.com
CBERS Program Update Jacie 2011 Frederico dos Santos Liporace AMS Kepler liporace@amskepler.com Overview CBERS 3 and 4 characteristics Differences from previous CBERS satellites (CBERS 1/2/2B) Geometric
LANDSAT 7 - GROUND SEGMENT ACTIVITIES AT THE GERMAN REMOTE SENSING DATA CENTER. Deutsches Fernerkundungsdatenzentrum (DFD) DLR (*)
LANDSAT 7 - GROUND SEGMENT ACTIVITIES AT THE GERMAN REMOTE SENSING DATA CENTER Günter Strunz (*), Hans-Dietrich Bettac (**), Jörg Gredel (*), Klaus-Dieter Reiniger (*) & Gunter Schreier (*) Deutsches Fernerkundungsdatenzentrum
Automated Spacecraft Scheduling The ASTER Example
Automated Spacecraft Scheduling The ASTER Example Ron Cohen ronald.h.cohen@jpl.nasa.gov Ground System Architectures Workshop 2002 Jet Propulsion Laboratory The Concept Scheduling by software instead of
Use of OGC Sensor Web Enablement Standards in the Meteorology Domain. in partnership with
Use of OGC Sensor Web Enablement Standards in the Meteorology Domain in partnership with Outline Introduction to OGC Sensor Web Enablement Standards Web services Metadata encodings SWE as front end of
Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes
Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes Naftaly Goldshleger, *Eyal Ben-Dor,* *Ido Livne,* U. Basson***, and R.Ben-Binyamin*Vladimir
Realization of a UV fisheye hyperspectral camera
Realization of a UV fisheye hyperspectral camera Valentina Caricato, Andrea Egidi, Marco Pisani and Massimo Zucco, INRIM Outline Purpose of the instrument Required specs Hyperspectral technique Optical
Integrating Airborne Hyperspectral Sensor Data with GIS for Hail Storm Post-Disaster Management.
Integrating Airborne Hyperspectral Sensor Data with GIS for Hail Storm Post-Disaster Management. *Sunil BHASKARAN, *Bruce FORSTER, **Trevor NEAL *School of Surveying and Spatial Information Systems, Faculty
Proba-V: Earthwatch Mission as part of ESA s Earth Observation Programmes
Proba-V: Earthwatch Mission as part of ESA s Earth Observation Programmes Antwerp 05.07.2013 Bianca Hoersch Proba-V Mission Manager Third Party Mission & Sentinel-2 Mission Manager Earth Observation Directorate,
The Sentinel-4/UVN instrument on-board MTG-S
The Sentinel-4/UVN instrument on-board MTG-S Grégory Bazalgette Courrèges-Lacoste; Berit Ahlers; Benedikt Guldimann; Alex Short; Ben Veihelmann, Hendrik Stark ESA ESTEC European Space Technology & Research
Full spectral imaging: a revisited approach to remote sensing
Full spectral imaging: a revisited approach to remote sensing John F. Bolton * NASA Goddard Space Flight Center EOS Program Office, Code 420 Greenbelt, MD, USA 20771 ABSTRACT Current optical remote sensing
MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA
MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA Li-Yu Chang and Chi-Farn Chen Center for Space and Remote Sensing Research, National Central University, No. 300, Zhongda Rd., Zhongli
Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California
Graham Emde GEOG 3230 Advanced Remote Sensing February 22, 2013 Lab #1 Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California Introduction Wildfires are a common disturbance
2.3 Spatial Resolution, Pixel Size, and Scale
Section 2.3 Spatial Resolution, Pixel Size, and Scale Page 39 2.3 Spatial Resolution, Pixel Size, and Scale For some remote sensing instruments, the distance between the target being imaged and the platform,
Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks
Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer AVHRR Advanced Very High Resolution
Learn From The Proven Best!
Applied Technology Institute (ATIcourses.com) Stay Current In Your Field Broaden Your Knowledge Increase Productivity 349 Berkshire Drive Riva, Maryland 21140 888-501-2100 410-956-8805 Website: www.aticourses.com
NASA s Dawn Mission Journey to the Asteroid Frontier
NASA s Dawn Mission Journey to the Asteroid Frontier Dawn Lucy McFadden, Co-Investigator University of Maryland College Park, MD January 12, 2009 SBAG update 9 th Discovery Mission Dawn Explores the Earliest
High Resolution Information from Seven Years of ASTER Data
High Resolution Information from Seven Years of ASTER Data Anna Colvin Michigan Technological University Department of Geological and Mining Engineering and Sciences Outline Part I ASTER mission Terra
Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images
Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images S. E. Báez Cazull Pre-Service Teacher Program University
Introduction to teledection
Introduction to teledection Formation Sébastien Clerc, ACRI-ST sebastien.clerc@acri-st.fr ACRI-ST Earth Observation Actors and Markets 2 Earth Observation economic importance Earth Observation is one of
A remote sensing instrument collects information about an object or phenomenon within the
Satellite Remote Sensing GE 4150- Natural Hazards Some slides taken from Ann Maclean: Introduction to Digital Image Processing Remote Sensing the art, science, and technology of obtaining reliable information
An Airborne A-Band Spectrometer for Remote Sensing Of Aerosol and Cloud Optical Properties
An Airborne A-Band Spectrometer for Remote Sensing Of Aerosol and Cloud Optical Properties Michael Pitts, Chris Hostetler, Lamont Poole, Carl Holden, and Didier Rault NASA Langley Research Center, MS 435,
Hyperion Data Collection: Performance Assessment and Science Application
Hyperion Data Collection: Performance Assessment and Science Application P. Barry, C. Segal, J. Pearlman, P. Jarecke, M. Folkman N. Nelson, K. Yokoyama, J. Shepanski, S. Casement, S. Carman Electro-Optics
Hyperspectral Satellite Imaging Planning a Mission
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute of Aerospace, Langley, VA Outline Objective
A Future Scenario of interconnected EO Platforms How will EO data be used in 2025?
A Future Scenario of interconnected EO Platforms How will EO data be used in 2025? ESA UNCLASSIFIED For Official Use European EO data asset Heritage missions Heritage Core GS (data preservation, curation
The RapidEye optical satellite family for high resolution imagery
'Photogrammetric Week 01' D. Fritsch & R. Spiller, Eds. Wichmann Verlag, Heidelberg 2001. Scherer, Krischke 139 The RapidEye optical satellite family for high resolution imagery STEFAN SCHERER and MANFRED
OPTICAL SATELLITE. Signal Processing and Enhancement. Shen-En Qian. SPIE PRESS Bellingham, Washington USA
OPTICAL SATELLITE Signal Processing and Enhancement Shen-En Qian SPIE PRESS Bellingham, Washington USA Contents Preface List of Terms and Acronyms xv xix 1 Spaceborne Optical Sensors 1 1.1 Introduction
ADM-Aeolus pre-launch campaigns with an airborne instrument demonstrator
ADM-Aeolus pre-launch campaigns with an airborne instrument demonstrator Oliver Reitebuch Institut für Physik der Atmosphäre Background The ADM-Aeolus instrument ALADIN uses several novel techniques, like
Observing Lake Erie Algae Blooms via. Hyper Spectral Imaging on CubeSat
Observing Lake Erie Algae Blooms via Hyper Spectral Imaging on CubeSat Chris Emr, Department of Physics Advisor: Professor Paul Barnhart, Department of Aerospace Engineering Case Western Reserve University
16 th IOCCG Committee annual meeting. Plymouth, UK 15 17 February 2011. mission: Present status and near future
16 th IOCCG Committee annual meeting Plymouth, UK 15 17 February 2011 The Meteor 3M Mt satellite mission: Present status and near future plans MISSION AIMS Satellites of the series METEOR M M are purposed
China Earth Observation
China High-resolution Earth Observation China Earth Observation System (CHEOS) and its Lastest Development The Earth Observation System and Data Center, CNSA 2014-2 Outlines 1 Introduction 2 The composition
Development of the Extreme Ultraviolet Spectrometer: EXCEED
Development of the Extreme Ultraviolet Spectrometer: EXCEED Go Murakami*, Kazuo Yoshioka, Atsushi Yamazaki, Tomoki Kimura Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency
IMAGINES_VALIDATIONSITESNETWORK ISSUE 1.00. EC Proposal Reference N FP7-311766. Name of lead partner for this deliverable: EOLAB
Date Issued: 26.03.2014 Issue: I1.00 IMPLEMENTING MULTI-SCALE AGRICULTURAL INDICATORS EXPLOITING SENTINELS RECOMMENDATIONS FOR SETTING-UP A NETWORK OF SITES FOR THE VALIDATION OF COPERNICUS GLOBAL LAND
REMOTE MINE SITE REHABILITATION MONITORING USING AIRBORNE HYPERSPECTRAL IMAGING AND LANDSCAPE FUNCTION ANALYSIS (LFA)
REMOTE MINE SITE REHABILITATION MONITORING USING AIRBORNE HYPERSPECTRAL IMAGING AND LANDSCAPE FUNCTION ANALYSIS (LFA) I. C. Lau a *, R. D. Hewson a, C. C. H. Ong a, & D. J. Tongway b a CSIRO Exploration
Input from ESA colleagues on Sentinel-3, -4, and -5 gratefully acknowledged) ICAP AEROSOL OBSERVABILITY MEETING 5/11/2013 8/11/2013, TSUKUBA, JAPAN
Aerosol Measurements from Current and Future EUMETSAT Satellites R. Munro, R. Lang, M. Grzegorski, G. Poli, A. Holdak, A. Kokhanovsky & C. Retscher (Atmospheric Composition Team) T. Marbach (EPS-SG Science
Figure 2. IASI technical expertise center main interfaces
SpaceOps 2010 ConferenceDelivering on the DreamHosted by NASA Mars 25-30 April 2010, Huntsville, Alabama AIAA 2010-2310 The IASI technical expertise center : IASI tuning and performance
Yukikatsu Terada (Saitama Univ, Japan), on behalf of the Astro-H Software Calibration board
Yukikatsu Terada (Saitama Univ, Japan), on behalf of the Astro-H Software Calibration board SKIP (Rob Introduction) The sixth series of the Japanese X-ray satellite. Collaboration with JAXA, NASA, and
SLSTR Breakout Summary - Gary Corlett (22/03/2012)
SLSTR Breakout Summary - Gary Corlett (22/03/2012) [Updated 16/04/2012 with post meeting comments from Gorm Dybkjær, Simon hook and David Meldrum] The breakout session started with a clean slate and identified
Data Processing Developments at DFD/DLR. Stefanie Holzwarth Martin Bachmann, Rudolf Richter, Martin Habermeyer, Derek Rogge
Data Processing Developments at DFD/DLR Stefanie Holzwarth Martin Bachmann, Rudolf Richter, Martin Habermeyer, Derek Rogge EUFAR Joint Expert Working Group Meeting Edinburgh, April 14th 2011 Conclusions
Monitoring a Changing Environment with Synthetic Aperture Radar. Alaska Satellite Facility National Park Service Don Atwood
Monitoring a Changing Environment with Synthetic Aperture Radar Don Atwood Alaska Satellite Facility 1 Entering the SAR Age 2 SAR Satellites RADARSAT-1 Launched 1995 by CSA 5.6 cm (C-Band) HH Polarization
INVESTIGA I+D+i 2013/2014
INVESTIGA I+D+i 2013/2014 SPECIFIC GUIDELINES ON AEROSPACE OBSERVATION OF EARTH Text by D. Eduardo de Miguel October, 2013 Introducction Earth observation is the use of remote sensing techniques to better
ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES
ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES Rainer LAUDIEN*, Georg BARETH**, Reiner DOLUSCHITZ*** Department of Agricultural Economics Division: Agricultural Informatics and
The Optical Design of the High Resolution Imaging Channel for the SIMBIO-SYS experiment on the BepiColombo Mission to Mercury
Mem. S.A.It. Suppl. Vol. 12, 77 c SAIt 2008 Memorie della Supplementi The Optical Design of the High Resolution Imaging Channel for the SIMBIO-SYS experiment on the BepiColombo Mission to Mercury G. Marra
Software requirements * :
Title: Product Type: Developer: Target audience: Format: Software requirements * : Data: Estimated time to complete: Fire Mapping using ASTER Part I: The ASTER instrument and fire damage assessment Part
Retrieval of vertical cloud properties of deepconvective clouds by spectral radiance measurements
Faculty of Physics and Earth Sciences Retrieval of vertical cloud properties of deepconvective clouds by spectral radiance measurements Tobias Zinner Evi Jäkel, Sandra Kanter, Florian Ewald, Tobias Kölling
The empirical line method for the atmospheric correction of IKONOS imagery
INT. J. REMOTE SENSING, 2003, VOL. 24, NO. 5, 1143 1150 The empirical line method for the atmospheric correction of IKONOS imagery E. KARPOUZLI* and T. MALTHUS Department of Geography, University of Edinburgh,
How To Write A Call To Action For Terrasar-X
Doc.: TX-PGS-PL-4127 TerraSAR-X Announcement of Opportunity: Utilization of the TerraSAR-X Archive 1 Page: 2 of 11 TABLE OF CONTENTS TERRASAR-X... 1 ANNOUNCEMENT OF OPPORTUNITY: UTILIZATION OF THE TERRASAR-X
National Performance Evaluation Facility for LADARs
National Performance Evaluation Facility for LADARs Kamel S. Saidi (presenter) Geraldine S. Cheok William C. Stone The National Institute of Standards and Technology Construction Metrology and Automation
NASA 2014 The Hyperspectral Infrared Imager (HyspIRI) Science Impact of Deploying Instruments on Separate Platforms
JPL Publication 14-13 NASA 2014 The Hyperspectral Infrared Imager (HyspIRI) Science Impact of Deploying Instruments on Separate Platforms HyspIRI Group Edited by Simon J. Hook Question Leads: CQ1 - Kevin
Lidar 101: Intro to Lidar. Jason Stoker USGS EROS / SAIC
Lidar 101: Intro to Lidar Jason Stoker USGS EROS / SAIC Lidar Light Detection and Ranging Laser altimetry ALTM (Airborne laser terrain mapping) Airborne laser scanning Lidar Laser IMU (INS) GPS Scanning
The use of Earth Observation technology to support the implementation of the Ramsar Convention
Wetlands: water, life, and culture 8th Meeting of the Conference of the Contracting Parties to the Convention on Wetlands (Ramsar, Iran, 1971) Valencia, Spain, 18-26 November 2002 COP8 DOC. 35 Information
High Resolution Digital Surface Models and Orthoimages for Telecom Network Planning
Renouard, Lehmann 241 High Resolution Digital Surface Models and Orthoimages for Telecom Network Planning LAURENT RENOUARD, S ophia Antipolis FRANK LEHMANN, Berlin ABSTRACT DLR of Germany and ISTAR of
An Introduction to the MTG-IRS Mission
An Introduction to the MTG-IRS Mission Stefano Gigli, EUMETSAT IRS-NWC Workshop, Eumetsat HQ, 25-0713 Summary 1. Products and Performance 2. Design Overview 3. L1 Data Organisation 2 Part 1 1. Products
EChO Ground Segment: Overview & Science Operations Assumptions
EChO Ground Segment: Overview & Science Operations Assumptions Matthias Ehle & the Science Ground Segment Working Group EChO Science Operations Study Manager ESA-ESAC, Madrid Science Operations Department/Division
ENVI Classic Tutorial: Atmospherically Correcting Hyperspectral Data using FLAASH 2
ENVI Classic Tutorial: Atmospherically Correcting Hyperspectral Data Using FLAASH Atmospherically Correcting Hyperspectral Data using FLAASH 2 Files Used in This Tutorial 2 Opening the Uncorrected AVIRIS
Sharing field spectroscopy data within large data sharing systems
GSR_3 Geospatial Science Research 3. School of Mathematical and Geospatial Science, RMIT University December 2014 Sharing field spectroscopy data within large data sharing systems Barbara Rasaiah, Simon
Geography 403 Lecture 7 Scanners, Thermal, and Microwave
Geography 403 Lecture 7 Scanners, Thermal, and Microwave Needs: Lect_403_7.ppt A. Basics of Passive Electric Sensors 1. Sensors absorb EMR and produce some sort of response, such as voltages differences
Selex Galileo Spazio Strumenti per il monitoraggio dell ambiente da piattaforma aerea e satellitare
Selex Galileo Spazio Strumenti per il monitoraggio dell ambiente da piattaforma aerea e satellitare Settimana UNESCO DESS 2009: Città e Cittadinanza Milano, 9 Novembre 2009 Selex Galileo Spazio fnei programmi
Advanced Himawari Imager (AHI) Design and Operational Flexibility Dr. Paul C. Griffith
harris.com Advanced Himawari Imager (AHI) Design and Operational Flexibility Dr. Paul C. Griffith Sixth Asia/Oceania Meteorological Satellite Users' Conference, Tokyo, Japan, 10 November 2015 This document
Remote Sensing in Natural Resources Mapping
Remote Sensing in Natural Resources Mapping NRS 516, Spring 2016 Overview of Remote Sensing in Natural Resources Mapping What is remote sensing? Why remote sensing? Examples of remote sensing in natural
Dawn - Overview, Science Objectives, Mission Progress. Hap McSween For PI Chris Russell
Dawn - Overview, Science Objectives, Mission Progress Hap McSween For PI Chris Russell Presentation to Decadal Survey Primitive Bodies Panel, Washington, DC, Sep 2009 Spacecraft configuration, assembly
Powerful Analytics based on Modern Spectrometers
Powerful Analytics based on Modern Spectrometers Gerhard Schlemmer Analytik Jena AG, Konrad- Zuse- Str. 1, 07745 Jena g.schlemmer@analytik-jena.de 1 1 Powerful Analytics based on Modern Spectrometers Optimizing
RADIOMETRIC GROUND TRUTHING FOR AIRBORNE AND SATELLITE SENSOR TESTS
RADIOMETRIC GROUND TRUTHING FOR AIRBORNE AND SATELLITE SENSOR TESTS J. R. Smith The Boeing Company, P.O. Box 3999, M/C 8F-26, Seattle, WA 98124-2499 john.r.smith@boeing.com KEY WORDS: Radiometry, Hyper
How To Make A High Energy Ion Detector
EPD: Energetic particle Detector Javier Rodríguez guez-pacheco Martín Grupo de Investigación n Espacial Universidad de Alcalá EPD: Energetic particle Detector STEIN (Supra-thermal Electrons, Ions & Neutrals)
Quantification of Suspended Particulate Matter
Quantification of Suspended Particulate Matter from DAIS/ROISIS Images: case-ii waters S. Salama and J. Monbaliu Hydraulics Laboratory, K.U.Leuven Arenberg, 31 Heverlee, Belgium suhyb.salama@bwk.kuleuven.ac.be
Mission Operations and Ground Segment
ESA Earth Observation Info Days Mission Operations and Ground Segment ESA EO Ground Segment and Mission Operations department (EOP-G) May 2013 EOEP 2013 Page 1 ESA Unclassified For Official Use MISSION
How To Measure Solar Spectral Irradiance
Accurate Determination of the TOA Solar Spectral NIR Irradiance Using a Primary Standard Source and the Bouguer-Langley Technique. D. Bolsée, N. Pereira, W. Decuyper, D. Gillotay, H. Yu Belgian Institute
The USGS Landsat Big Data Challenge
The USGS Landsat Big Data Challenge Brian Sauer Engineering and Development USGS EROS bsauer@usgs.gov U.S. Department of the Interior U.S. Geological Survey USGS EROS and Landsat 2 Data Utility and Exploitation
CORAL REEF HABITAT MAPPING USING MERIS: CAN MERIS DETECT CORAL BLEACHING?
CORAL REEF HABITAT MAPPING USING MERIS: CAN MERIS DETECT CORAL BLEACHING? Arnold G. Dekker, Magnus Wettle, Vittorio E. Brando CSIRO Land & Water, P.O. Box 1666, Canberra, ACT, Australia ABSTRACT/RESUME
Chang e-3 s Progress and Achievement 2/2014
Chang e-3 s Progress and Achievement 2/2014 Main content 1. Chinese Lunar Exploration Program 2. Chang e-3 s Progress 3. Chang e-3 s Achievement Chinese Lunar Exploration Program Phase I Orbital missions
Microwaves and Radar Institute
Microwaves and Radar Institute Research and Projects Alberto Moreira German Aerospace Center DLR Oberpfaffenhofen, Germany Microwaves and Radar Institute 30+ years of experience in SAR systems and applications
Hyperspectral prism-grating-prism imaging spectrograph
4 3 5 V T T P U B L I C A T I O N S Mauri Aikio Hyperspectral prism-grating-prism imaging spectrograph TECHNICAL RESEARCH CENTRE OF FINLAND ESPOO 00 VTT PUBLICATIONS 435 Hyperspectral prism-grating-prism
Opportunities for the generation of high resolution digital elevation models based on small format aerial photography
Opportunities for the generation of high resolution digital elevation models based on small format aerial photography Boudewijn van Leeuwen 1, József Szatmári 1, Zalán Tobak 1, Csaba Németh 1, Gábor Hauberger
IAG - Universidade de São Paulo LaboratórioNacional de Astrofísica MCTI European Southern Observatory
CUBES Cassegrain Ultraviolet Brazil-ESO Spectrograph IAG - Universidade de São Paulo LaboratórioNacional de Astrofísica MCTI European Southern Observatory Outline: Consortium: IAG-USP, LNA/MCTI Brief Description
REMOTE SENSING AND ENVIRONMENTAL MONITORING. P. M. Mather School of Geography, The University of Nottingham, U.K.
REMOTE SENSING AND ENVIRONMENTAL MONITORING P. M. Mather School of Geography, The University of Nottingham, U.K. Keywords: Earth observation, image processing, lidar, pattern recognition, radar Contents
Review for Introduction to Remote Sensing: Science Concepts and Technology
Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director ann@baremt.com Funded by National Science Foundation Advanced Technological Education program [DUE
EO Data by using SAP HANA Spatial Hinnerk Gildhoff, Head of HANA Spatial, SAP Satellite Masters Conference 21 th October 2015 Public
Leveraging Geospatial Technologies EO Data by using SAP HANA Spatial Hinnerk Gildhoff, Head of HANA Spatial, SAP Satellite Masters Conference 21 th October 2015 Public Disclaimer This presentation outlines
European Space Agency EO Missions. Ola Gråbak ESA Earth Observation Programmes Tromsø, 17 October 2012
European Space Agency EO Missions Ola Gråbak ESA Earth Observation Programmes Tromsø, 17 October 2012 Europe and Space, A POLICY Article 189 of the Lisbon Treaty (2009) gives the European Union an explicit
The premier software for extracting information from geospatial imagery.
Imagery Becomes Knowledge ENVI The premier software for extracting information from geospatial imagery. ENVI Imagery Becomes Knowledge Geospatial imagery is used more and more across industries because
Remote sensing is the collection of data without directly measuring the object it relies on the
Chapter 8 Remote Sensing Chapter Overview Remote sensing is the collection of data without directly measuring the object it relies on the reflectance of natural or emitted electromagnetic radiation (EMR).
Validating MOPITT Cloud Detection Techniques with MAS Images
Validating MOPITT Cloud Detection Techniques with MAS Images Daniel Ziskin, Juying Warner, Paul Bailey, John Gille National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307 ABSTRACT The
Development of a remote sensing based land barometer for sustainable land use management
Bilateral German-Polish REFINA workshop Research and model projects on suburbanization and land consumption Development of a remote sensing based land barometer for sustainable land use management Thomas
SpectrAIR TM. spectroradiometer for environmental monitoring applications. Copyright 2004-2006 Flyby s.r.l. www.flyby.it
SpectrAIR TM Portable UV-VIS VIS-NIR spectroradiometer for environmental monitoring applications Copyright 2004-2006 Flyby s.r.l. FBY-SPECTRAIR-BRO-002-10 www.flyby.it Why SpectrAIR SpectrAIR is an innovative