INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor
|
|
|
- Ashlyn Payne
- 8 years ago
- Views:
Transcription
1 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 (MINISTRY OF DEFENCE - SPAIN)
2 Remote Sensing Laboratory Outline Airborne Remote Sensing at INTA Remote Sensing Capabilities Mobile facilities Platforms Sensors IR sensors Multispectral sensors Hyperspectral sensor AHS Attitude & position determination system Ground facilities Maintenance Calibration Remote Sensing Lab projects & applications
3 where is Remote Sensing Lab? General Director General Secretariat General Sub-directorate of Co-ordination & Planning General Sub-directorate of Experimentation & Certification General Sub-directorate of Institutional Relations & Commercial Policy General Sub-directorate of Research & Programmes Earth Observation, Remote Sensing & Atm osphere Department Space Sciences & Electronic Technologies Department Materials & Structures Department Aerodynamics & Propulsion Remote Sensing Laboratory Atmospheric Research Laboratory Earth Observation Systems Laboratory
4 INTA objectives in remote sensing Research, technological development and applications in the aerial and space remote sensing fields Support to civil and military remote sensing users Participation in remote sensing related national and international projects Promotion of the use of this technology
5 Remote Sensing Laboratory: Organization Data Acquisition Laboratory - Acquisition of aerial remote sensed imagery of the Earth's surface through the design, planning and performance of flight campaigns with airborne sensors, operating in the optical spectrum (from VIS to TIR). - Direct geo-referencing is achieved through INS-GPS techniques. Digital Image Processing Laboratory - Processing of the data acquired in the flight campaigns and imagery from space systems. - Image analysis, project engineering, software development and field spectroradiometry. Remote Sensing Data Dissemination and Distribution Laboratory - CREPAD: Centre for the reception, processing, archiving and distribution of products from Earth monitoring data - NPOC: Commercial distribution of observation satellite images
6 Remote Sensing Laboratory: Main activities Remote sensing flight campaigns Field spectro-radiometry campaigns Mobile Infrared Laboratory: Data acquisition campaigns Processing, analysis and interpretation of multispectral images Development of specific software for the digital processing of remote sensing imagery
7 Remote Sensing Laboratory: Users Most of the RSL's projects are co-funded by European Commission Framework Programmes, by the European Space Agency and through co-operation agreements with a wide variety of department s of the Spanish Administration: Ministry of Science & Technology, Ministry of Defence, Ministry of Civil Works, etc. Commercial based operations with private and public companies are carried out as well.
8 Airborne Remote Sensing at INTA: a bit of history 1975 Hasselblad cameras multicamera arrangement 1978 Hawker Siddeley Type 212 Linescanner 1979 Multispectral linescanner Bendix M2S 1991 ATM multispectral scanner / Daedalus New aircraft CASA for remote sensing surveys 2000 Airborne Multispectral Digital Camera - AMDC 2003 Airborne Hyperspectral System - SensyTech AHS
9 Remote Sensing Lab capabilities: platforms + sensors overview CASA Mobile lab AMDC ThermaCam PM595 ATM MKD-400NDP FLIR Airborne Hyperspectral System - AHS
10 Remote Sensing Lab capabilities: aerial platform CASA High-wing twin-turboprop - Modified for remote sensing surveys - STOL performances - Cruising speed: 140 Kts (260 km/h) - Service ceiling: ft (7600 m) - Max. endurance: 6 hours - Un-pressurized cabin - Cabin volume: 22 m 3 (6.5m x 2.10m x 1.8m) - Max pay-load: 2100 kg - Electrical power: 125A/28VDC & 2000VA/220VAC (It is included in EUFAR consortium,
11 Remote Sensing Lab capabilities: aerial platform CASA N/S 270 Detail of cabin arrange ment for R.S. surveys
12 Remote Sensing Lab capabilities: mobile laboratory Mobile laboratory and IR sensors deployment
13 Remote Sensing Lab capabilities: ATM - Daedalus 1268 Airborne Thematic Mapper - ATM Detection technology: linescanner type Spectral band: VIS+NIR+SWIR+MIR+LWIR (11 bands) Optics (FOV/ IFOV): 86º/2.5 mrad & 43º/1.25 mrad Scanning mode: 12.5, 25, 50 and 100 rps, 716 samples per line/line x 280 Typical spatial resolution: from 1 to 10 m Digitised & recorded data at 8 bits
14 Remote Sensing Lab capabilities: ATM - Daedalus 1268 Daedalus 1268 Technical Specifications IFOV (mrad) 2.5 or 1.25 FOV (degrees) or Scan rate (rps) 12.5, 25, 50, 100 Digitization (bits/levels) 8 / 256 Video words per scan line 716 Reference sources Two controllable thermal blackbodies Roll correction + 15º (automatically) ATM Configuration 3-5 µm Configuration CZCS / SeaWiFS Configuration Band Band edges (µm) Band edges (µm) Band edges (µm) TM TM TM TM TM TM7 N/A N/A TM
15 Remote Sensing Lab capabilities: AMDC Airborne Multispectral Digital Camera - AMDC Detection technology: 2D CCD array Spectral range: B+G+R+NIR+P (five bands) Optics (FOV/ IFOV): 37º/0.3 mrad Data output: 2D imagery (2041 x 2024) at 8 bits Typical spatial resolution: from 0.3 to 1 m
16 Remote Sensing Lab capabilities: hyperspectral sensor Airborne Hyperspectral System - AHS 1999 First preliminary contacts for a hyperspectral sensor July 2001 A program starts for upgrading from multi- to hyperspectral operational remote sensing Nov 2001 Contract with SensyTech for a new hyperspectral sensor under INTA spec s Sep 2003 Delivery of the system and first surveys May 2004 Final Commissioning
17 Remote Sensing Lab capabilities: hyperspectral sensor Airborne Hyperspectral System - AHS Detection technology: linescanner type Spectral range: VIS+NIR+SWIR+MWIR+LWIR (80 bands) Optics (FOV/ IFOV): 90º/2.5 mrad Scanning mode: 6.25, 12.5, 18.75, 25, 31,25 and 35 rps 750 samples per line Typical spatial resolution: from 2.5 to kts Digitised & recorded data at 12 bits
18 Remote Sensing Lab capabilities: hyperspectral sensor Airborne Hyperspectral System AHS Spectral configuration (80 channels) Port 1 VIS+NIR nm / 20 channels / λ = 30 nm Port 2A SWIR nm / 1 channel / λ = 200 nm Port 2 SWIR nm / 42 channels / λ = 13 nm Port 3 MIR nm / 7 channels / λ = 300 nm Port 4 LWIR nm / 10 channels / λ = 400 nm
19 Remote Sensing Lab capabilities: hyperspectral sensor Airborne Hyperspectral System AHS Pixel size vs flight parameters Scan rate (rps) GS(kts) AAT(m) AAT(ft) GIFOV (m) Swath (m) 6, , , , , , , , , ,
20 Remote Sensing Lab capabilities: hyperspectral sensor CASA N/S 270 Detail of AHS first installation (Sept. 2003)
21 Remote Sensing Lab capabilities: on-board deployment Future pre-processing quality check Flight management rack Sensors operation Sensor mount control Two openings for nadir vision
22 Remote Sensing Lab capabilities: Attitude & position determination system APPLANIX POS/AV 410 GPS/INS SYSTEM - It provides accurate positioning and attitude measurements in order to geo-reference imagery data through direct methods. - Previous calibration of the whole system (platform + remote sensors + GPS/INS) is required.
23 Remote Sensing Lab capabilities: maintenance facility Maintenance & test facility Test bench: it includes set of lamps and targets to test and check the system - Blackbody target - Calibrated lamps + panel - Telescope + Collimation lamps - S/N measurement tools
24 Remote Sensing Lab capabilities: calibration facility Spectral Calibration facility - 90 cm diam. integrating sphere - Up to ten halogen lamps - Monitoring sensor - VIS + NIR + SWIR range - NIST Traceable
25 Remote Sensing Lab capabilities: infrared aplications Infrared imagery Thermacam PMP595 images of clouds Bird census with FLIR imagery Detection of thermal anomalies in civil construction Aircraft tyre thermography Ships IR signature
26 Remote Sensing Lab capabilities: infrared aplications Forest fire analysis in the TIR spectrum (Thermovision LWB 880)
27 Remote Sensing Lab capabilities: multispectral projects 0,63-0,69 µm 1,55-1,75 µm 3,0-5,0 µm RGB = 3, 7, 12 ATM imagery FUEGO PROGRAMME
28 Remote Sensing Lab capabilities: multispectral projects Almaraz Nuclear Plant 12 channel (8-13.5µm). Daylight 12 channel (8-13.5µm). Night image
29 Remote Sensing Lab capabilities: multispectral projects Parque del Sureste - May 2001 ATM DS-1268 G-R-NIR 3.5 m
30 Remote Sensing Lab capabilities: multispectral projects Parque del Sureste - May 2001 Flight line mosaic ATM DS-1268 G-R-NIR 3.5 m
31 Remote Sensing Lab capabilities: multispectral projects Monasterio de El Escorial - May 2001 AMDC RGB co-registrated image (pixel size = 0,5 x 0,5 m)
32 Remote Sensing Lab capabilities: multispectral projects July 2002 Calibration flight AMDC co-registrated RGB image (pixel size = 0,5 x 0,5 m)
33 Remote Sensing Lab capabilities: multispectral projects July 2002 Calibration flight over a archaeological site AMDC co-registrated real color RGB image (pixel size = 0,5 x 0,5 m)
34 Remote Sensing Lab capabilities: multispectral projects July 2002 Calibration flight over a archaeological site AMDC geo-coded real color RGB image (pixel size = 0,5 x 0,5 m)
35 Remote Sensing Lab capabilities: hyperspectral imagery Guadiloba Basin Horno Basin Cáceres AHS imagery First flight (Sept. 2003) Mérida
36 Remote Sensing Lab capabilities: hyperspectral imagery Cáceres AHS imagery
37 Remote Sensing Lab capabilities: hyperspectral imagery Mérida real color AHS imagery Mérida infrared color AHS imagery
38 Remote Sensing Lab capabilities: hyperspectral imagery Mérida thermal infrared AHS image & temperature profile
39 Remote Sensing Lab capabilities: hyperspectral imagery AHS image of Guadiloba Basin. Hyperspectral cube (80 bands)
40 Remote Sensing Lab capabilities: hyperspectral imagery AHS image of Guadiloba Basin. Hyperspectral variability.
41 Remote Sensing Lab capabilities: hyperspectral imagery AHS image of Guadiloba Basin. Thermal infrared image.
42 Remote Sensing Lab capabilities: hyperspectral imagery Cáceres RGB combination of thermal images. Channels 77, 73, 71.
43 Remote Sensing Lab projects & applications MAIN PROJECTS & APPLICATIONS Environmental assessment studies (JUVESU, BACCHUS, ISLA, etc) Forest fire IR emission analysis (FUEGO program) Geological studies Water quality evaluation Mapping of archaeological sites Heat losses of nuclear plants Imagery simulation of Earth observation space systems Building thermography for energy budget assess
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
Remote Sensing Lab: The Products Point Of View
Remote Sensing Lab: The Products Point Of View Remote Sensing Lab performs processing of the images acquired with its equipment Different products are available to the users: Standard products On-Request
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
UAV Road Surface Monitoring and Traffic Information
UAV Road Surface Monitoring and Traffic Information Czech Road and Motorway Network New capabilities for Unmanned Aerial Systems Current usage (military operation service) Possible civil usage (possible
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
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,
Spectral Response for DigitalGlobe Earth Imaging Instruments
Spectral Response for DigitalGlobe Earth Imaging Instruments IKONOS The IKONOS satellite carries a high resolution panchromatic band covering most of the silicon response and four lower resolution spectral
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
Landsat Monitoring our Earth s Condition for over 40 years
Landsat Monitoring our Earth s Condition for over 40 years Thomas Cecere Land Remote Sensing Program USGS ISPRS:Earth Observing Data and Tools for Health Studies Arlington, VA August 28, 2013 U.S. Department
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
Sky Monitoring Techniques using Thermal Infrared Sensors. sabino piazzolla Optical Communications Group JPL
Sky Monitoring Techniques using Thermal Infrared Sensors sabino piazzolla Optical Communications Group JPL Atmospheric Monitoring The atmospheric channel has a great impact on the channel capacity at optical
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
Selecting the appropriate band combination for an RGB image using Landsat imagery
Selecting the appropriate band combination for an RGB image using Landsat imagery Ned Horning Version: 1.0 Creation Date: 2004-01-01 Revision Date: 2004-01-01 License: This document is licensed under a
MULTIPURPOSE USE OF ORTHOPHOTO MAPS FORMING BASIS TO DIGITAL CADASTRE DATA AND THE VISION OF THE GENERAL DIRECTORATE OF LAND REGISTRY AND CADASTRE
MULTIPURPOSE USE OF ORTHOPHOTO MAPS FORMING BASIS TO DIGITAL CADASTRE DATA AND THE VISION OF THE GENERAL DIRECTORATE OF LAND REGISTRY AND CADASTRE E.ÖZER, H.TUNA, F.Ç.ACAR, B.ERKEK, S.BAKICI General Directorate
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
From Pixel to Info-Cloud News at Leica Geosystems JACIE Denver, 31 March 2011 Ruedi Wagner Hexagon Geosystems, Geospatial Solutions Division.
From Pixel to Info-Cloud News at Leica Geosystems JACIE Denver, 31 March 2011 Ruedi Wagner Hexagon Geosystems, Geospatial Solutions Division What else can I do with my sensor/data? Earth to Image Image
Technical Data. FLIR T620 25 (incl. Wi-Fi)
Technical Data FLIR T620 25 (incl. WiFi) Part number: 559010102 Copyright 2012, FLIR Systems, Inc. All rights reserved worldwide. Names and marks appearing herein are either registered trademarks or trademarks
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).
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
Chapter Contents Page No
Chapter Contents Page No Preface Acknowledgement 1 Basics of Remote Sensing 1 1.1. Introduction 1 1.2. Definition of Remote Sensing 1 1.3. Principles of Remote Sensing 1 1.4. Various Stages in Remote Sensing
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
Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder. School of Civil and Environmental Engineering
Contributions of the geospatial fields to monitoring sustainability of urban environments John Trinder School of Civil and Environmental Engineering 2 IMPACT OF HUMAN DEVELOPMENT Humans are modifying the
How To Make An Orthophoto
ISSUE 2 SEPTEMBER 2014 TSA Endorsed by: CLIENT GUIDE TO DIGITAL ORTHO- PHOTOGRAPHY The Survey Association s Client Guides are primarily aimed at other professionals such as engineers, architects, planners
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
Preface. Ko Ko Lwin Division of Spatial Information Science University of Tsukuba 2008
1 Preface Remote Sensing data is one of the primary data sources in GIS analysis. The objective of this material is to provide fundamentals of Remote Sensing technology and its applications in Geographical
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
Dynamic IR Scene Projector Based Upon the Digital Micromirror Device
Dynamic IR Scene Projector Based Upon the Digital Micromirror Device D. Brett Beasley, Matt Bender, Jay Crosby, Tim Messer, and Daniel A. Saylor Optical Sciences Corporation www.opticalsciences.com P.O.
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
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
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
RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR
RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR A. Maghrabi 1 and R. Clay 2 1 Institute of Astronomical and Geophysical Research, King Abdulaziz City For Science and Technology, P.O. Box 6086 Riyadh 11442,
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
Appendix: Thermal Infrared Vendor Listings. November 2014 Update. Table of Contents
Appendix: Thermal Infrared Vendor Listings November 2014 Update Table of Contents Type 1 Systems Contact Information... 1 Type 2 Systems Contact Information... 3 Type 3a Systems Contact Information...
We bring quality to light. MAS 40 Mini-Array Spectrometer. light measurement
MAS 40 Mini-Array Spectrometer light measurement Features at a glance Cost-effective and robust CCD spectrometer technology Standard USB interface Compatible with all Instrument Systems measuring adapters
The infrared camera NEC Thermo tracer TH7102WL (1) (IR
PERIODICUM BIOLOGORUM UDC 57:61 VOL. 108, No 4,????, 2006 CODEN PDBIAD ISSN 0031-5362 Original scientific paper ThermoWEB-Remote Control and Measurement of Temperature over the Web D. KOLARI] K. SKALA
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
Overview of the IR channels and their applications
Ján Kaňák Slovak Hydrometeorological Institute Jan.kanak@shmu.sk Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation
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
Technical Data FLIR E40bx (incl. Wi-Fi)
Technical Data FLIR E40bx (incl. Wi-Fi) Part number: 64501-0501 Copyright 2013, FLIR Systems, Inc. All rights reserved worldwide. Names and marks appearing herein are either registered trademarks or trademarks
Space Export Controls Update
Space Export Controls Update Since Delivering the 1248 Report to Congress - April 2012 Congress added language into the FY13 National Defense Authorization Act that gave the President the authority to
Example of an end-to-end operational. from heat waves
Example of an end-to-end operational service in support to civil protection from heat waves Paolo Manunta pkt006-11-1.0 1.0_WEBGIS Athens, 8 June 2007 OUTLINE Heat Island definition and causes Heat Island
How To Fuse A Point Cloud With A Laser And Image Data From A Pointcloud
REAL TIME 3D FUSION OF IMAGERY AND MOBILE LIDAR Paul Mrstik, Vice President Technology Kresimir Kusevic, R&D Engineer Terrapoint Inc. 140-1 Antares Dr. Ottawa, Ontario K2E 8C4 Canada paul.mrstik@terrapoint.com
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
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
Effects of Solar Photovoltaic Panels on Roof Heat Transfer
Effects of Solar Photovoltaic Panels on Roof Heat Transfer A. Dominguez, J. Kleissl, & M. Samady, Univ of California, San Diego J. C. Luvall, NASA, Marshall Space Flight Center Building Heating, Ventilation
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
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
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
Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D
Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D Munn V. Shukla and P. K. Thapliyal Atmospheric Sciences Division Atmospheric and Oceanic Sciences Group Space Applications
T-REDSPEED White paper
T-REDSPEED White paper Index Index...2 Introduction...3 Specifications...4 Innovation...6 Technology added values...7 Introduction T-REDSPEED is an international patent pending technology for traffic violation
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
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
Field Techniques Manual: GIS, GPS and Remote Sensing
Field Techniques Manual: GIS, GPS and Remote Sensing Section A: Introduction Chapter 1: GIS, GPS, Remote Sensing and Fieldwork 1 GIS, GPS, Remote Sensing and Fieldwork The widespread use of computers
Status Report on current and future Geostationary Indian Satellites
Status Report on current and future Geostationary Indian Satellites By Dr. Devendra Singh Director Satellite Meteorology India Meteorological Department New Delhi-110003 SATELLITE METEOROLOGY DIVISION
Comparison of Thermal Imaging Systems Used in Thermography as a Non Destructive Testing Method for Composite Parts
ECNDT 26 - Tu.4.6.4 Comparison of Thermal Imaging Systems Used in Thermography as a Non Destructive Testing Method for Composite Parts Nathalie GERLACH, Haute Ecole Rennequin Sualem, Liège, Belgium Abstract:
The X100. Safe and fully automatic. Fast and with survey accuracy. revolutionary mapping. create your own orthophotos and DSMs
The X100 revolutionary mapping Safe and fully automatic create your own orthophotos and DSMs Fast and with survey accuracy operates even in harsh weather conditions (up to 65 km/h wind & light rain) Image
Digital image processing
746A27 Remote Sensing and GIS Lecture 4 Digital image processing Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University Digital Image Processing Most of the common
Methane to Markets Oil and Natural Gas Technology Transfer Workshop
Methane to Markets Oil and Natural Gas Technology Transfer Workshop Airborne Differential Absorption Lidar (DIAL) Detection and Measurement of Fugitive Emissions Steven Stearns ANGEL Service ITT Space
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
Multiangle cloud remote sensing from
Multiangle cloud remote sensing from POLDER3/PARASOL Cloud phase, optical thickness and albedo F. Parol, J. Riedi, S. Zeng, C. Vanbauce, N. Ferlay, F. Thieuleux, L.C. Labonnote and C. Cornet Laboratoire
International coordination for continuity and interoperability: a CGMS perspective
International coordination for continuity and interoperability: a CGMS perspective Peng Zhang, CGMS WG-III Co-Chair NSMC/CMA In Cooperation with Suzanne Hilding, CGMS WG-III Co-Chair OPPA/NESDIS/NOAA 1
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
TUTORIAL Extraction of Geospatial Information from High Spatial Resolution Optical Satellite Sensors
TUTORIAL Extraction of Geospatial Information from High Spatial Resolution Optical Satellite Sensors E. Baltsavias 1,L. Zhang 2, D. Holland 3, P.K. Srivastava 4, B. Gopala Krishna 4, T.P. Srinivasan 4
Deploying DMC in today s workflow
Heier 35 Deploying DMC in today s workflow HELMUT HEIER, Oberkochen ABSTRACT The mission of Z/I Imaging is to bring our customers best-in-class solutions for the entire photogrammetric production process;
The YellowScan system: A test on the oppida of Nages/Roque de Viou (Languedoc, France) Tristan Allouis, PhD Research and Development, L'Avion Jaune
The YellowScan system: A test on the oppida of Nages/Roque de Viou (Languedoc, France) Tristan Allouis, PhD Research and Development, L'Avion Jaune L'Avion Jaune : Earth observation data provider UAVs
Treasure Hunt. Lecture 2 How does Light Interact with the Environment? EMR Principles and Properties. EMR and Remote Sensing
Lecture 2 How does Light Interact with the Environment? Treasure Hunt Find and scan all 11 QR codes Choose one to watch / read in detail Post the key points as a reaction to http://www.scoop.it/t/env202-502-w2
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
Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery
Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery WorldView-2 is the first commercial high-resolution satellite to provide eight spectral sensors in the visible to near-infrared
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
Spanish Earth Observation Programme
Spanish Earth Observation Mónica LópezL Head of SEOSAT / Ingenio ESA s Department - Directorate of Aerospace s CDTI Centre for the Development of Industrial Technology 1 AGENDA 1. Spanish Earth Observation
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,
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
Joint Polar Satellite System (JPSS)
Joint Polar Satellite System (JPSS) John Furgerson, User Liaison Joint Polar Satellite System National Environmental Satellite, Data, and Information Service National Oceanic and Atmospheric Administration
ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.
ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI Imagery Becomes Knowledge ENVI software uses proven scientific methods and automated processes to help you turn geospatial
The Airborne Imaging Spectrometer APEX (Airborne Prism EXperiment)
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,
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
Labs in Bologna & Potenza Menzel. Lab 3 Interrogating AIRS Data and Exploring Spectral Properties of Clouds and Moisture
Labs in Bologna & Potenza Menzel Lab 3 Interrogating AIRS Data and Exploring Spectral Properties of Clouds and Moisture Figure 1: High resolution atmospheric absorption spectrum and comparative blackbody
ENVI Classic Tutorial: Atmospherically Correcting Multispectral Data Using FLAASH 2
ENVI Classic Tutorial: Atmospherically Correcting Multispectral Data Using FLAASH Atmospherically Correcting Multispectral Data Using FLAASH 2 Files Used in this Tutorial 2 Opening the Raw Landsat Image
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
Remote Sensing. Vandaag. Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem
Remote Sensing 1 Vandaag Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem 2 Nederland Vanaf 700 km hoogte Landsat TM mozaïek 3 Europa vanaf 36000 km hoogte 4 5 Mount
ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln
REMOTE SENSING (SATELLITE) SYSTEM TECHNOLOGIES Michael A. Okoye and Greg T. Earth Satellite Corporation, Rockville Maryland, USA Keywords: active microwave, advantages of satellite remote sensing, atmospheric
Full Waveform Digitizing, Dual Channel Airborne LiDAR Scanning System for Ultra Wide Area Mapping
Full Waveform Digitizing, Dual Channel Airborne LiDAR Scanning System for Ultra Wide Area Mapping RIEGL LMS-Q56 high laser pulse repetition rate up to 8 khz digitization electronics for full waveform data
See Lab 8, Natural Resource Canada RS Tutorial web pages Tues 3/24 Supervised land cover classification See Lab 9, NR Canada RS Tutorial web pages
SFR 406 Remote Sensing, Image Interpretation and Forest Mapping EXAM # 2 (23 April 2015) REVIEW SHEET www.umaine.edu/mial/courses/sfr406/index.htm (Lecture powerpoint & notes) TOPICS COVERED ON 2 nd EXAM:
SAMPLE MIDTERM QUESTIONS
Geography 309 Sample MidTerm Questions Page 1 SAMPLE MIDTERM QUESTIONS Textbook Questions Chapter 1 Questions 4, 5, 6, Chapter 2 Questions 4, 7, 10 Chapter 4 Questions 8, 9 Chapter 10 Questions 1, 4, 7
McIDAS-V - A powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data
McIDAS-V - A powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data Thomas Achtor, Thomas Rink, Thomas Whittaker, David Parker and David Santek Space Science
SPOT Satellite Earth Observation System Presentation to the JACIE Civil Commercial Imagery Evaluation Workshop March 2007
SPOT Satellite Earth Observation System Presentation to the JACIE Civil Commercial Imagery Evaluation Workshop March 2007 Topics Presented Quick summary of system characteristics Formosat-2 Satellite Archive
FLIR A655sc 15. Mid- or high-end industrial R&D. Imaging and optical data. Spatial resolution (IFOV) F-number 1.0 50 Hz (100/200 Hz with windowing)
LIR sc 1 P/N: 0010301 opyright 201, LIR Systems, Inc. ll rights reserved worldwide. Names and marks appearing herein are either registered trademarks or trademarks of LIR Systems and/or its subsidiaries.
Generation of Cloud-free Imagery Using Landsat-8
Generation of Cloud-free Imagery Using Landsat-8 Byeonghee Kim 1, Youkyung Han 2, Yonghyun Kim 3, Yongil Kim 4 Department of Civil and Environmental Engineering, Seoul National University (SNU), Seoul,
Sviluppo di componenti per sottosistemi ottici basati su ottiche elettroformate altamente asferiche per applicazioni Spazio e Difesa
EMSOM Sviluppo di componenti per sottosistemi ottici basati su ottiche elettroformate altamente asferiche per applicazioni Spazio e Difesa Workshop Terzo bando P.M.I. Tema Materiali, Componenti e Sensori
Obtaining and Processing MODIS Data
Obtaining and Processing MODIS Data MODIS is an extensive program using sensors on two satellites that each provide complete daily coverage of the earth. The data have a variety of resolutions; spectral,
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
RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY
RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY M. Erdogan, H.H. Maras, A. Yilmaz, Ö.T. Özerbil General Command of Mapping 06100 Dikimevi, Ankara, TURKEY - (mustafa.erdogan;
THE GOCI INSTRUMENT ON COMS MISSION THE FIRST GEOSTATIONARY OCEAN COLOR IMAGER
THE GOCI INSTRUMENT ON COMS MISSION THE FIRST GEOSTATIONARY OCEAN COLOR IMAGER Topic 1 - Optical instruments for Earth / Planets surface and atmosphere study François FAURE, Astrium SAS Satellite, Toulouse,
TAMU-CC UAS Program 1
TAMU-CC UAS Program 1 TAMU-CC Major Research Initiatives Coastal & Marine Economic & environmental sustainability Ecosystem evaluation Shoreline mapping Water supply studies Policy Engineering Science
Position Descriptions. Aerospace
Position Descriptions Aerospace Aerospace Engineering? Aeromechanics / Flight Control / Flight Qualities Engineer Predict, analyze, and verify air vehicle flight dynamics including aircraft aerodynamics,
Point clouds colorized by elevation of downtown Detroit, MI.
Point clouds colorized by elevation of downtown Detroit, MI. Mobile Mapping: Fact, Fiction, or Fad? If the question What is mobile mapping and when did it start? was asked to ten different people in the
EADS-UC3M JOINT CENTER FOR AEROSPACE AND SECURITY SYSTEMS. Image: UC3M photographic files
EADS-UC3M JOINT CENTER FOR AEROSPACE AND SECURITY SYSTEMS Image: UC3M photographic files 2 The Joint Center for Aerospace Systems Integration is a common platform encompassing university, industry and
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
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,
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