INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor

Size: px
Start display at page:

Download "INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor"

Transcription

1 INTA AIRBORNE REMOTE SENSING FACILITY from the Hasselblad s cameras to the SensyTech-AHS sensor José-Antonio Gómez-Sánchez 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

Lectures Remote Sensing

Lectures Remote Sensing Lectures Remote Sensing OPTICAL REMOTE SENSING dr.ir. Jan Clevers Centre of Geo-Information Environmental Sciences Wageningen UR EM Spectrum and Windows reflection emission 0.3 0.6 1.0 5.0 10 50 100 200

More information

Types of Scanning. Different radiation principles Same operating principles Same image geometry. Multispectral scanning Thermal scanning

Types of Scanning. Different radiation principles Same operating principles Same image geometry. Multispectral scanning Thermal scanning Types of Scanning Multispectral scanning Thermal scanning Different radiation principles Same operating principles Same image geometry Hyperspectral scanning Multispectral Scanners Advantages over multiband

More information

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. 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

More information

Remote Sensing Lab: The Products Point Of View

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

More information

Overview of the EarthCARE Multi-Spectral Imager and Results from the Development of the MSI Engineering Model

Overview of the EarthCARE Multi-Spectral Imager and Results from the Development of the MSI Engineering Model Changing the economics of space Overview of the EarthCARE Multi-Spectral Imager and Results from the Development of the MSI Engineering Model October 2012 ICSO 2012 SSTL, TNO, ASD, ESA Overview The EarthCARE

More information

Resolutions of Remote Sensing

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

More information

The Z/I DMC II Imaging Revolution

The Z/I DMC II Imaging Revolution Photogrammetric Week '11 Dieter Fritsch (Ed.) Wichmann/VDE Verlag, Belin & Offenbach, 2011 Neumann 97 The Z/I DMC II Imaging Revolution KLAUS J. NEUMANN, Aalen ABSTRACT It had always been the philosophy

More information

UAV Road Surface Monitoring and Traffic Information

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

More information

High Resolution Information from Seven Years of ASTER Data

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

More information

THE HYMAP TM AIRBORNE HYPERSPECTRAL SENSOR: THE SYSTEM, CALIBRATION AND PERFORMANCE

THE HYMAP TM AIRBORNE HYPERSPECTRAL SENSOR: THE SYSTEM, CALIBRATION AND PERFORMANCE THE HYMAP TM AIRBORNE HYPERSPECTRAL SENSOR: THE SYSTEM, CALIBRATION AND PERFORMANCE T. Cocks, R. Jenssen, A. Stewart, I. Wilson* and T. Shields* Integrated Spectronics Pty Ltd, P.O. Box 437, Baulkham Hills,

More information

Preprocessing in Remote Sensing. Introduction Geo Information (GRS 10306)

Preprocessing in Remote Sensing. Introduction Geo Information (GRS 10306) Preprocessing in Remote Sensing Lammert Kooistra Contact: Lammert.Kooistra@wur.nl Introduction Geo Information (GRS 10306) The art of remote sensing source: ASTER satellite (earthobservatory.nasa.gov)

More information

Spectral Response for DigitalGlobe Earth Imaging Instruments

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

More information

2.3 Spatial Resolution, Pixel Size, and Scale

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,

More information

Radiometric Calibration of a Modified DSLR for NDVI

Radiometric Calibration of a Modified DSLR for NDVI Radiometric Calibration of a Modified DSLR for NDVI Christian Taylor Carlson Center for Imaging Science, Rochester Institute of Technology ABSTRACT Silicon CCD detectors found in commercial DSLR cameras

More information

Optech Titan Multispectral Lidar System

Optech Titan Multispectral Lidar System Optech Titan Multispectral Lidar System High Precision Environmental Mapping Applications Topographic Ø mapping Land Ø cover classification Seamless Ø shallow water bathymetry Environmental Ø modeling

More information

INTRODUCTION REMOTE SENSING

INTRODUCTION REMOTE SENSING INTRODUCTION REMOTE SENSING dr.ir. Jan Clevers Centre for Geo-Information Dept. Environmental Sciences Wageningen UR Remote Sensing --> RS Sensor at a distance EARTH OBSERVATION EM energy Earth RS is a

More information

Precision viticulture: The future of cameras and drones. Dr. Paul Dare Spatial Scientific Pty. Ltd.

Precision viticulture: The future of cameras and drones. Dr. Paul Dare Spatial Scientific Pty. Ltd. Precision viticulture: The future of cameras and drones Dr. Paul Dare Spatial Scientific Pty. Ltd. My background Spatial Scientific provides airborne remotely sensed imagery to the viticulture industry

More information

Hyperspectral Satellite Imaging Planning a Mission

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

More information

Landsat Monitoring our Earth s Condition for over 40 years

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

More information

Remote Sensing Satellite Information Sheets Geophysical Institute University of Alaska Fairbanks

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

More information

Availability and Potential Use of Low Resolution Satellite Imagery for Peacekeeping and Disaster Management. Mryka Hall-Beyer

Availability and Potential Use of Low Resolution Satellite Imagery for Peacekeeping and Disaster Management. Mryka Hall-Beyer Availability and Potential Use of Low Resolution Satellite Imagery for Peacekeeping and Disaster Management Mryka Hall-Beyer Spatial resolution: The ability to see detail Expectations people have: to be

More information

High Resolution, High Speed, Hyperspectral Cameras for Laboratory, Industrial and Airborne Applications.

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

More information

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 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

More information

Remote sensing is the collection of data without directly measuring the object it relies on the

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).

More information

Getting the Most from Your IR Camera

Getting the Most from Your IR Camera Getting the Most from Your IR Camera Our thanks to FLIR for allowing us to reprint the following article. Understanding IR camera calibration and corrections help ensure accurate temperature measurements

More information

An Introduction to the MTG-IRS Mission

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

More information

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 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

More information

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 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

More information

CLIENT GUIDE TO DIGITAL ORTHO- PHOTOGRAPHY

CLIENT GUIDE TO DIGITAL ORTHO- PHOTOGRAPHY 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

More information

Selecting the appropriate band combination for an RGB image using Landsat imagery

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

More information

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. 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

More information

Technical Data. FLIR T620 25 (incl. Wi-Fi)

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

More information

Chapter Contents Page No

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

More information

High Resolution Digital Surface Models and Orthoimages for Telecom Network Planning

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

More information

Geomorphology G322 Introduction to Aerial Photographs

Geomorphology G322 Introduction to Aerial Photographs Geomorphology G322 Introduction to Aerial Photographs I. Introduction to Air Photos A. Aerial photographs are acquired by airpcraft especially equipped with cameras and view ports. 1. Early Work... Balloon-based

More information

Satellite Orbits. Satellites & Orbits. Satellite Orbits. Geo-stationary Orbit. Satellite Orbits. Prof. D. Nagesh Kumar.

Satellite Orbits. Satellites & Orbits. Satellite Orbits. Geo-stationary Orbit. Satellite Orbits. Prof. D. Nagesh Kumar. Satellites & Orbits Prof. D. Nagesh Kumar Dept. of Civil Engg. IISc, Bangalore 560 012, India URL: http://www.civil.iisc.ernet.in/~nagesh Orbit will be elliptical or near circular Time taken by a satellite

More information

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. 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

More information

How to Purchase a Thermal Imaging Camera

How to Purchase a Thermal Imaging Camera How to Purchase a Thermal Imaging Camera Interested in buying an infrared thermal imaging camera but not sure where to start or what to look for when purchasing? Perhaps you want to start an infrared inspection

More information

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 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

More information

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 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

More information

METimage a multi-spectral imaging radiometer for the EUMETSAT Polar System follow-on satellite mission

METimage a multi-spectral imaging radiometer for the EUMETSAT Polar System follow-on satellite mission METimage a multi-spectral imaging radiometer for the EUMETSAT Polar System follow-on satellite mission F. Schmülling, I. Zerfowski 1, A. Pillukat 2, R. Bonsignori 3 1 DLR Space Agency, Königswinterer Str.

More information

Technical Data FLIR E40bx (incl. Wi-Fi)

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

More information

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 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

More information

REAL TIME 3D FUSION OF IMAGERY AND MOBILE LIDAR INTRODUCTION

REAL TIME 3D FUSION OF IMAGERY AND MOBILE LIDAR INTRODUCTION 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

More information

Realization of a UV fisheye hyperspectral camera

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

More information

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 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

More information

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 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

More information

Appendix: Thermal Infrared Vendor Listings. November 2014 Update. Table of Contents

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...

More information

Status Report on current and future Geostationary Indian Satellites

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

More information

Example of an end-to-end operational. from heat waves

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

More information

A remote sensing instrument collects information about an object or phenomenon within the

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

More information

Remote Sensing of Global Climate Change

Remote Sensing of Global Climate Change of Global Climate Change 2009 TECHNICAL STUFF... WHERE ON THE EARTH IS THAT??? Students should understand various geographic coordinate systems used to locate images, and how to translate these into distances

More information

Preface. Ko Ko Lwin Division of Spatial Information Science University of Tsukuba 2008

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

More information

Dynamic IR Scene Projector Based Upon the Digital Micromirror Device

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.

More information

We bring quality to light. MAS 40 Mini-Array Spectrometer. light measurement

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

More information

Review for Introduction to Remote Sensing: Science Concepts and Technology

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

More information

Space Export Controls Update

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

More information

Projects MINEO and HyperGreen: airborne hyperspectral data acquisition in East Greenland for environmental monitoring and mineral exploration

Projects MINEO and HyperGreen: airborne hyperspectral data acquisition in East Greenland for environmental monitoring and mineral exploration 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

More information

RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR

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,

More information

Emerging remote environmental monitoring techniques. Remote Sensing

Emerging remote environmental monitoring techniques. Remote Sensing Emerging remote environmental monitoring techniques Remote Sensing Satellite and airborne Remote Sensing techniques Emerging trends in remote sensing are occurring largely in four broad areas: 1. advances

More information

The X100. Safe and fully automatic. Fast and with survey accuracy. revolutionary mapping. create your own orthophotos and DSMs

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

More information

The infrared camera NEC Thermo tracer TH7102WL (1) (IR

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

More information

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 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

More information

Access and Use of Imagery and Data from MODIS, Landsat, and Commercial Satellites

Access and Use of Imagery and Data from MODIS, Landsat, and Commercial Satellites Access and Use of Imagery and Data from MODIS, Landsat, and Commercial Satellites Forrest Melton Ecological Forecasting Lab CSU Monterey Bay & NASA Ames Research Center Moffett Field, CA MODIS Rapid Response

More information

Overview of the IR channels and their applications

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

More information

SPOT 6 SPOT 7 Technical Sheet

SPOT 6 SPOT 7 Technical Sheet Technical Features With SPOT 6 and SPOT 7, Astrium secures the mission continuity of the SPOT series, which has collected an archive of more than 30 million scenes since 1986. This new generation of optical

More information

Goldeye G-033. Description. Goldeye G High-speed short-wave infrared camera

Goldeye G-033. Description. Goldeye G High-speed short-wave infrared camera Goldeye G-033 Fastest GigE Vision SWIR camera Power over Ethernet Compact industrial design, no fan Description Goldeye G-033 - High-speed short-wave infrared camera The new Goldeye G-033 high-speed camera

More information

GIS for Educators. Overview:

GIS for Educators. Overview: GIS for Educators Topic 5: Raster Data Objectives: Keywords: Understand what raster data is and how it can be used in a GIS. Raster, Pixel, Remote Sensing, Satellite, Image, Georeference Overview: In the

More information

T-REDSPEED White paper

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

More information

Fig.1. The DAWN spacecraft

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

More information

Calculating surface temperature using Landsat thermal imagery

Calculating surface temperature using Landsat thermal imagery Calculating surface temperature using Landsat thermal imagery Abduwasit Ghulam, PhD Department of Earth & Atmospheric Sciences, and Center for Environmental Sciences Saint Louis University St. Louis, MO

More information

INVESTIGA I+D+i 2013/2014

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

More information

Electromagnetic Radiation (including visible light)

Electromagnetic Radiation (including visible light) An expert is a man who has made all the mistakes, which can be made in a narrow field. Neils Bohr Electromagnetic Radiation (including visible light) Behaves like a particle. light particles are called

More information

Field Techniques Manual: GIS, GPS and Remote Sensing

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

More information

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 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

More information

The USGS Landsat Big Data Challenge

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

More information

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery

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

More information

NASA s Dawn Mission Journey to the Asteroid Frontier

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

More information

Effects of Solar Photovoltaic Panels on Roof Heat Transfer

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

More information

Multiangle cloud remote sensing from

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

More information

SR Series Traffic Camera. Architect & Engineering Specifications

SR Series Traffic Camera. Architect & Engineering Specifications SR Series Traffic Camera Architect & Engineering Specifications This document is controlled to FLIR Technology Level 1. The information contained in this document pertains to a dual use product controlled

More information

Methane to Markets Oil and Natural Gas Technology Transfer Workshop

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

More information

Retrieval of vertical cloud properties of deepconvective clouds by spectral radiance measurements

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

More information

Thermal imaging system for drones

Thermal imaging system for drones Thermal imaging system for drones Data in JPEG, AVI and radiometric JPEG Resolution up to 640 x 512 pixels Transmission wirelessly to UAV controller Brochure Workswell Thermal Vision Pro Workswell s.r.o.

More information

The Airborne Imaging Spectrometer APEX (Airborne Prism EXperiment)

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,

More information

The Moon as a Common Reference for Sensor Cross-Comparison

The Moon as a Common Reference for Sensor Cross-Comparison The Moon as a Common Reference for Sensor Cross-Comparison Thomas C. Stone U.S. Geological Survey, Flagstaff AZ, USA CEOS IVOS Workshop JRC Ispra, Italy 18 20 October 2010 The Moon as a source lunar calibration

More information

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 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

More information

TUTORIAL Extraction of Geospatial Information from High Spatial Resolution Optical Satellite Sensors

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

More information

ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.

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

More information

Remote Sensing. Vandaag. Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem

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

More information

The use of infrared radiation in measurement and non-destructive testing.

The use of infrared radiation in measurement and non-destructive testing. The use of infrared radiation in measurement and non-destructive testing. M. Hain, J. Bartl, V. Jacko Institute of Measurement Science Slovak Academy of Sciences, Bratislava, Slovakia e-mail: Miroslav.Hain@savba.sk

More information

THAILAND EARTH OBSERVATION SYSTEM : MISSION AND PRODUCTS

THAILAND EARTH OBSERVATION SYSTEM : MISSION AND PRODUCTS THAILAND EARTH OBSERVATION SYSTEM : MISSION AND PRODUCTS M. Kaewmanee a, T. Choomnoommanee a, R. Fraisse b a Geo Infomatics and Space Technology Development Agency (GISTDA), 10900, Bangkok, Thailand (morakotk,

More information

MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA

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

More information

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 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

More information

NEMO-HD HIGH-RESOLUTION MICROSATELLITE FOR EARTH MONITORING AND OBSERVATION FREDDY PRANAJAYA. Head of Research and Development

NEMO-HD HIGH-RESOLUTION MICROSATELLITE FOR EARTH MONITORING AND OBSERVATION FREDDY PRANAJAYA. Head of Research and Development NEMO-HD HIGH-RESOLUTION MICROSATELLITE FOR EARTH MONITORING AND OBSERVATION FREDDY PRANAJAYA Head of Research and Development Space Flight Laboratory Microsatellite Science and Technology Center University

More information

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*** 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

More information

ENVI Classic Tutorial: Atmospherically Correcting Hyperspectral Data using FLAASH 2

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

More information

Digital image processing

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

More information

Generation of Cloud-free Imagery Using Landsat-8

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,

More information

Spanish Earth Observation Programme

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

More information