Aral Sea profile Selection of area 24 February April May 1998

Size: px
Start display at page:

Download "Aral Sea profile Selection of area 24 February April May 1998"

Transcription

1 250 km Aral Sea profile ? Selection of area Area of interest Kzyl-Orda Dried seabed 185 km Syrdarya river Aral Sea Salt residuals 185 km Cardara water supply reservoir Ajdarkul lake 24 February April May

2 7 June July August September October November

3 Image Processing False colour: Band 6 (thermal) on Red Band 4 (near-) on Green Band 2 (green) on Blue 17 May July 2001 Landsat The era of Landsat satellites started in 1973 with the launch of the first MSS satellite. Since then, the specifications of the Landsat satellites have improved and data from the ETM+ sensor on Landsat 7 provides 15 m panchromatic data and 30 m multispectral data. A huge archive of data is available, making Landsat an ideal and costeffective choice in change detection applications. 21 August September 2001 TM AND ETM+ SPECTRAL BANDWIDTHS FOR LANDSAT 7 ETM+ A single Landsat scene covers app. 185 x 185 km. The revisit time is also good, 16 days between acquisitions. Bandwidth (µm) Sensor Blue Band 1 Green Band 2 Red Band 3 Near Band 4 Mid. Band 5 Therm. Band 6 Mid Band 7 Panchr. Band 8 ETM QuickBird Featuring the highest spatial resolution of any commercial remote sensing satellite, QuickBird offers 60 cm resolution (panchromatic or pansharpened) and 2.4 m multispectral collected in a wide swath of 16.5 km which means that large areas can be acquired in one image. Prices start from as low as app. 500 US $ for a 5 x 5 km area. QuickBird Characteristics Launch Date Orbit Altitude Orbit Inclination Speed Equator Time Orbit Time Revisit Time Swath Width Metric Accuracy Digitization Resolution: Image Bands Crossing October 18, km 97.2 degrees, sun-synchronous 7.1 km/second 10:30 a.m. (descending node) 93.5 minutes days depending on latitude (30 off-nadir) 16.5 km x 16.5 km at nadir 23 meter horizontal (CE90%) 11 bits Pan: 0.61 m (nadir) to 0.72 m (25 off-nadir) MS: 2.44 m (nadir) to 2.88 m (25 off-nadir) Pan: nm Blue: nm Green: nm Red: nm Near IR: nm 3

4 Ikonos Ikonos was launched by SpaceImaging in 1999 and was the first commercial satellite in the world to offer very high resolution satellite data. Ikonos offers spatial resolutions of 1 m panchromatic or pansharpened and 4 m multispectral. Digital elevation models (DEM) can be produced by tilting the camera in the along-flight direction. Tehran, Iran - QuickBird Ikonos Characteristics Launch Date Orbit Altitude Orbit Inclination Speed September 24, km 98.1 degrees, sun-synchronous 7 km/second Equator Crossing 10:30 a.m. (descending node) Time Orbit Time 98 minutes Revisit Time days depending on latitude Swath Width 11 km x 11 km at nadir Metric Accuracy 12 meter horizontal (CE90%) Digitization 11 bits Resolution: Pan: 0.81 m (nadir) to 1.00 m (26 offnadir) MS: 3.2 m (nadir) to 4.00 m (26 off-nadir) Image Bands Pan: nm Blue: nm Green: nm Red: nm Near IR: nm Airport -Frankfurt Ikonos SPOT Characteristics SPOT 2 SPOT 4 SPOT 5 Launch Date 22 Jan Mar May 2005 SPOT Various SPOT sensors are currently in orbit with spatial resolutions from 20 m down to 2.5 metres. The SPOT archive dates back to 1986 when SPOT-1 was launched and this makes SPOT an ideal solution for time series analysis. Like QuickBird and Ikonos, the SPOT satellite can be programmed to acquire new images from any location on Earth. Orbit Altitude Orbit Inclination Speed Equator Crossing Time Orbit Time Revisit Time Swath Width Metric Accuracy Digitization 350 m 60 x 60 km at nadir 350 m 822 km 98.7 degrees 7.4 km/second 10:30 a.m minutes 2-3 days 8 bits 50 m Resolution: Pan: 10 m Pan: 10 m Pan: m Image Bands MS: 20 m Pan: nm Gr: nm Red: nm NIR: nm MS: 20 m Pan: nm Gr: nm Red: nm NIR: nm MS: m Pan: nm Gr: nm Red: nm NIR: nm SW: µm SW: µm 4

5 17 May 2001 Saudi Arabia SPOT 4 July August 2001 Spatial Resolution 22 September

6 Image of Eiffel Tower Paris QuickBird satellite: 0.6m resolution Ikonos satellite: 1m True colour Image of Libya Airport Spot satellite: 2.5m resolution Image of Oman for Geological purposes Landsat satellite: 15m resolution Image of Yemen for Geological purposes Aster satellite: 15m resolution False colour composite: Red: SWIR band; Green: NIR band; Blue: Red band. In this display scheme, vegetation appears in shades of green. Bare soils and clearcut areas appear purplish or magenta. The patch of bright red area on the left is the location of active fires. A smoke plume originating from the active fire site appears faint bluish in colour. 6

7 False colour composite: Red: NIR band; Green: Red band; Blue: Green band. Vegetation appears in shades of red. The smoke plume appears bright bluish white. 2 bit image 4 bit image 8 bit image 16 bit image Thermal image of coast displaying temperatures 7

Abstract Quickbird Vs Aerial photos in identifying man-made objects

Abstract Quickbird Vs Aerial photos in identifying man-made objects Abstract Quickbird Vs Aerial s in identifying man-made objects Abdullah Mah abdullah.mah@aramco.com Remote Sensing Group, emap Division Integrated Solutions Services Department (ISSD) Saudi Aramco, Dhahran

More information

IKONOS High Resolution Multispectral Scanner Sensor Characteristics

IKONOS High Resolution Multispectral Scanner Sensor Characteristics High Spatial Resolution and Hyperspectral Scanners IKONOS High Resolution Multispectral Scanner Sensor Characteristics Launch Date View Angle Orbit 24 September 1999 Vandenberg Air Force Base, California,

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL

More information

Remote Sensing Platforms

Remote Sensing Platforms Types of Platforms Lighter-than-air Remote Sensing Platforms Free floating balloons Restricted by atmospheric conditions Used to acquire meteorological/atmospheric data Blimps/dirigibles Major role - news

More information

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG An Introduction to Geomatics خاص بطلبة مساق مقدمة في علم الجيوماتكس Prepared by: Dr. Maher A. El-Hallaq Associate Professor of Surveying IUG 1 Airborne Imagery Dr. Maher A. El-Hallaq Associate Professor

More information

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning Lecture 6: Multispectral Earth Resource Satellites The University at Albany Fall 2018 Geography and Planning Outline SPOT program and other moderate resolution systems High resolution satellite systems

More information

Spectral Signatures. Vegetation. 40 Soil. Water WAVELENGTH (microns)

Spectral Signatures. Vegetation. 40 Soil. Water WAVELENGTH (microns) Spectral Signatures % REFLECTANCE VISIBLE NEAR INFRARED Vegetation Soil Water.5. WAVELENGTH (microns). Spectral Reflectance of Urban Materials 5 Parking Lot 5 (5=5%) Reflectance 5 5 5 5 5 Wavelength (nm)

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Popular Remote Sensing Sensors & their Selection Michiel Damen (September 2011) damen@itc.nl 1 Overview Low resolution

More information

Introduction of Satellite Remote Sensing

Introduction of Satellite Remote Sensing Introduction of Satellite Remote Sensing Spatial Resolution (Pixel size) Spectral Resolution (Bands) Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands)

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

Remote Sensing Platforms

Remote Sensing Platforms Remote Sensing Platforms Remote Sensing Platforms - Introduction Allow observer and/or sensor to be above the target/phenomena of interest Two primary categories Aircraft Spacecraft Each type offers different

More information

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD WORKSHOP on Best Practices under National Land Records

More information

Sources of Geographic Information

Sources of Geographic Information Sources of Geographic Information Data properties: Spatial data, i.e. data that are associated with geographic locations Data format: digital (analog data for traditional paper maps) Data Inputs: sampled

More information

Data Sharing Issues in SE Asia

Data Sharing Issues in SE Asia Data Sharing Issues in SE Asia Kandasri Limpakom User Service and Business Development Office About GISTDA THEOS & Its Applications GISTDA s Data Sharing Geo-Informatics and Space Technology Development

More information

Satellite Remote Sensing: Earth System Observations

Satellite Remote Sensing: Earth System Observations Satellite Remote Sensing: Earth System Observations Land surface Water Atmosphere Climate Ecosystems 1 EOS (Earth Observing System) Develop an understanding of the total Earth system, and the effects of

More information

Some Basic Concepts of Remote Sensing. Lecture 2 August 31, 2005

Some Basic Concepts of Remote Sensing. Lecture 2 August 31, 2005 Some Basic Concepts of Remote Sensing Lecture 2 August 31, 2005 What is remote sensing Remote Sensing: remote sensing is science of acquiring, processing, and interpreting images and related data that

More information

An Introduction to Remote Sensing & GIS. Introduction

An Introduction to Remote Sensing & GIS. Introduction An Introduction to Remote Sensing & GIS Introduction Remote sensing is the measurement of object properties on Earth s surface using data acquired from aircraft and satellites. It attempts to measure something

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Remote Sensing Platforms Michiel Damen (September 2011) damen@itc.nl 1 Overview Platforms & missions aerial surveys

More information

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014 Satellite Imagery Characteristics, Uses and Delivery to GIS Systems Wayne Middleton April 2014 About Geoimage Founded in Brisbane 1988 Leading Independent company Specialists in satellite imagery and geospatial

More information

Coral Reef Remote Sensing

Coral Reef Remote Sensing Coral Reef Remote Sensing Spectral, Spatial, Temporal Scaling Phillip Dustan Sensor Spatial Resolutio n Number of Bands Useful Bands coverage cycle Operation Landsat 80m 2 2 18 1972-97 Thematic 30m 7

More information

CHAPTER 7: Multispectral Remote Sensing

CHAPTER 7: Multispectral Remote Sensing CHAPTER 7: Multispectral Remote Sensing REFERENCE: Remote Sensing of the Environment John R. Jensen (2007) Second Edition Pearson Prentice Hall Overview of How Digital Remotely Sensed Data are Transformed

More information

Satellite/Aircraft Imaging Systems Imaging Sensors Standard scanner designs Image data formats

Satellite/Aircraft Imaging Systems Imaging Sensors Standard scanner designs Image data formats CEE 6150: Digital Image Processing 1 Satellite/Aircraft Imaging Systems Imaging Sensors Standard scanner designs Image data formats CEE 6150: Digital Image Processing 2 CEE 6150: Digital Image Processing

More information

US Commercial Imaging Satellites

US Commercial Imaging Satellites US Commercial Imaging Satellites In the early 1990s, Russia began selling 2-meter resolution product from its archives of collected spy satellite imagery. Some of this product was down-sampled to provide

More information

Remote Sensing and GIS

Remote Sensing and GIS Remote Sensing and GIS Atmosphere Reflected radiation, e.g. Visible Emitted radiation, e.g. Infrared Backscattered radiation, e.g. Radar (λ) Visible TIR Radar & Microwave 11/9/2017 Geo327G/386G, U Texas,

More information

Geostationary satellites

Geostationary satellites Polar satellites 800 km. 99 relative to the Equator S-N during ascending leg & N-S during descending leg Each orbit 100 minutes 14 orbits a day. Sun-Synchronous provides consistent lighting of Earth-scan

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Introduction to Remote Sensing Michiel Damen (September 2011) damen@itc.nl 1 Overview Some definitions Remote

More information

Update on Landsat Program and Landsat Data Continuity Mission

Update on Landsat Program and Landsat Data Continuity Mission Update on Landsat Program and Landsat Data Continuity Mission Dr. Jeffrey Masek LDCM Deputy Project Scientist NASA GSFC, Code 923 November 21, 2002 Draft LDCM Implementation Phase RFP Overview Page 1 Celebrate!

More information

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing Mads Olander Rasmussen (mora@dhi-gras.com) 01. Introduction to Remote Sensing DHI What is remote sensing? the art, science, and technology

More information

Image interpretation. Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary.

Image interpretation. Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary. Image interpretation Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary. 50 1 N 110 7 W Milestones in the History of Remote Sensing 19 th century

More information

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Remote sensing in archaeology from optical to lidar Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Introduction Optical remote sensing Systems Search for

More information

OPTICAL RS IMAGE INTERPRETATION

OPTICAL RS IMAGE INTERPRETATION 1 OPTICAL RS IMAGE INTERPRETATION Lecture 8 Visible Middle Infrared Image Bands 2 Data Processing Information data in a useable form Interpretation Visual AI (Machine learning) Recognition, Classification,

More information

Remote Sensing Technology for Earthquake Damage Detection

Remote Sensing Technology for Earthquake Damage Detection Workshop on Application of Remote Sensing to Disaster Response September 12, 2003, Irvine, CA, USA Remote Sensing Technology for Earthquake Damage Detection Fumio Yamazaki 1,2, Ken-ichi Kouchi 1, Masayuki

More information

REMOTE SENSING FOR FLOOD HAZARD STUDIES.

REMOTE SENSING FOR FLOOD HAZARD STUDIES. REMOTE SENSING FOR FLOOD HAZARD STUDIES. OPTICAL SENSORS. 1 DRS. NANETTE C. KINGMA 1 Optical Remote Sensing for flood hazard studies. 2 2 Floods & use of remote sensing. Floods often leaves its imprint

More information

FEDERAL SPACE AGENCY SOVZOND JSC компания «Совзонд»

FEDERAL SPACE AGENCY SOVZOND JSC компания «Совзонд» FEDERAL SPACE AGENCY Resurs-DK.satellite SOVZOND JSC SPECIFICATIONS Launch date June 15, 2006 Carrier vehicle Soyuz Orbit Elliptical Altitude 360-604 km Revisit frequency (at nadir) 6 days Inclination

More information

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS REMOTE SENSING Topic 10 Fundamentals of Digital Multispectral Remote Sensing Chapter 5: Lillesand and Keifer Chapter 6: Avery and Berlin MULTISPECTRAL SCANNERS Record EMR in a number of discrete portions

More information

The Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office

The Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office The Normal Baseline Dick Gent Law of the Sea Division UK Hydrographic Office 2 The normal baseline for measuring the breadth of the territorial sea is the low water line along the coast as marked on large

More information

1. Theory of remote sensing and spectrum

1. Theory of remote sensing and spectrum 1. Theory of remote sensing and spectrum 7 August 2014 ONUMA Takumi Outline of Presentation Electromagnetic wave and wavelength Sensor type Spectrum Spatial resolution Spectral resolution Mineral mapping

More information

Introduction to Satellite Remote Sensing

Introduction to Satellite Remote Sensing Introduction to Satellite Remote Sensing Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective

More information

Satellite Imagery and Remote Sensing. DeeDee Whitaker SW Guilford High EES & Chemistry

Satellite Imagery and Remote Sensing. DeeDee Whitaker SW Guilford High EES & Chemistry Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry whitakd@gcsnc.com Outline What is remote sensing? How does remote sensing work? What role does the electromagnetic

More information

Introduction to Remote Sensing

Introduction to Remote Sensing Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices Image classifications Image change detections Accuracy assessment Satellites & Air-Photos

More information

Outline. Introduction. Introduction: Film Emulsions. Sensor Systems. Types of Remote Sensing. A/Prof Linlin Ge. Photographic systems (cf(

Outline. Introduction. Introduction: Film Emulsions. Sensor Systems. Types of Remote Sensing. A/Prof Linlin Ge. Photographic systems (cf( GMAT x600 Remote Sensing / Earth Observation Types of Sensor Systems (1) Outline Image Sensor Systems (i) Line Scanning Sensor Systems (passive) (ii) Array Sensor Systems (passive) (iii) Antenna Radar

More information

746A27 Remote Sensing and GIS. Multi spectral, thermal and hyper spectral sensing and usage

746A27 Remote Sensing and GIS. Multi spectral, thermal and hyper spectral sensing and usage 746A27 Remote Sensing and GIS Lecture 3 Multi spectral, thermal and hyper spectral sensing and usage Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University Multi

More information

Land Cover Analysis to Determine Areas of Clear-cut and Forest Cover in Olney, Montana. Geob 373 Remote Sensing. Dr Andreas Varhola, Kathry De Rego

Land Cover Analysis to Determine Areas of Clear-cut and Forest Cover in Olney, Montana. Geob 373 Remote Sensing. Dr Andreas Varhola, Kathry De Rego 1 Land Cover Analysis to Determine Areas of Clear-cut and Forest Cover in Olney, Montana Geob 373 Remote Sensing Dr Andreas Varhola, Kathry De Rego Zhu an Lim (14292149) L2B 17 Apr 2016 2 Abstract Montana

More information

Interpreting land surface features. SWAC module 3

Interpreting land surface features. SWAC module 3 Interpreting land surface features SWAC module 3 Interpreting land surface features SWAC module 3 Different kinds of image Panchromatic image True-color image False-color image EMR : NASA Echo the bat

More information

Image interpretation I and II

Image interpretation I and II Image interpretation I and II Looking at satellite image, identifying different objects, according to scale and associated information and to communicate this information to others is what we call as IMAGE

More information

PLANET: IMAGING THE EARTH EVERY DAY

PLANET: IMAGING THE EARTH EVERY DAY PLANET: IMAGING THE EARTH EVERY DAY Benjamin Trigona-Harany Mailiao Refinery, Taiwan May 31, 2016 To image the whole world every day, making change visible, accessible and actionable. HONG KONG January

More information

Using IRS Products to Recover 7ETM + Defective Images

Using IRS Products to Recover 7ETM + Defective Images American Journal of Applied Sciences 5 (6): 618-625, 2008 ISSN 1546-9239 2008 Science Publications Using IRS Products to Recover 7ETM + Defective Images 1 Mobasheri Mohammad Reza and 2 Sadeghi Naeini Ali

More information

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition Module 3 Introduction to GIS Lecture 8 GIS data acquisition GIS workflow Data acquisition (geospatial data input) GPS Remote sensing (satellites, UAV s) LiDAR Digitized maps Attribute Data Management Data

More information

Remote Sensing for Rangeland Applications

Remote Sensing for Rangeland Applications Remote Sensing for Rangeland Applications Jay Angerer Ecological Training June 16, 2012 Remote Sensing The term "remote sensing," first used in the United States in the 1950s by Ms. Evelyn Pruitt of the

More information

remote sensing? What are the remote sensing principles behind these Definition

remote sensing? What are the remote sensing principles behind these Definition Introduction to remote sensing: Content (1/2) Definition: photogrammetry and remote sensing (PRS) Radiation sources: solar radiation (passive optical RS) earth emission (passive microwave or thermal infrared

More information

366 Glossary. Popular method for scale drawings in a computer similar to GIS but without the necessity for spatial referencing CEP

366 Glossary. Popular method for scale drawings in a computer similar to GIS but without the necessity for spatial referencing CEP 366 Glossary GISci Glossary ASCII ASTER American Standard Code for Information Interchange Advanced Spaceborne Thermal Emission and Reflection Radiometer Computer Aided Design Circular Error Probability

More information

Remote Sensing Exam 2 Study Guide

Remote Sensing Exam 2 Study Guide Remote Sensing Exam 2 Study Guide Resolution Analog to digital Instantaneous field of view (IFOV) f ( cone angle of optical system ) Everything in that area contributes to spectral response mixels Sampling

More information

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing Introduction to Remote Sensing Definition of Remote Sensing Remote sensing refers to the activities of recording/observing/perceiving(sensing)objects or events at far away (remote) places. In remote sensing,

More information

Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection

Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection Krištof Oštir, Space-SI, Slovenia Contents Natural and technological disasters Current

More information

Final Examination Introduction to Remote Sensing. Time: 1.5 hrs Max. Marks: 50. Section-I (50 x 1 = 50 Marks)

Final Examination Introduction to Remote Sensing. Time: 1.5 hrs Max. Marks: 50. Section-I (50 x 1 = 50 Marks) Final Examination Introduction to Remote Sensing Time: 1.5 hrs Max. Marks: 50 Note: Attempt all questions. Section-I (50 x 1 = 50 Marks) 1... is the technology of acquiring information about the Earth's

More information

Remote Sensing. Measuring an object from a distance. For GIS, that means using photographic or satellite images to gather spatial data

Remote Sensing. Measuring an object from a distance. For GIS, that means using photographic or satellite images to gather spatial data Remote Sensing Measuring an object from a distance For GIS, that means using photographic or satellite images to gather spatial data Remote Sensing measures electromagnetic energy reflected or emitted

More information

PILOTING A DECISION SUPPORT TOOL (DST) FOR MAPPING CYANOBACTERIAL HARMFUL ALGAL BLOOMS (CHABS) TO SUPPORT PUBLIC HEALTH AND RESOURCE MANAGEMENT.

PILOTING A DECISION SUPPORT TOOL (DST) FOR MAPPING CYANOBACTERIAL HARMFUL ALGAL BLOOMS (CHABS) TO SUPPORT PUBLIC HEALTH AND RESOURCE MANAGEMENT. PILOTING A DECISION SUPPORT TOOL (DST) FOR MAPPING CYANOBACTERIAL HARMFUL ALGAL BLOOMS (CHABS) TO SUPPORT PUBLIC HEALTH AND RESOURCE MANAGEMENT. Nathan Torbick, Applied Geosolutions Scott Stoodley, Director,

More information

Introduction to Remote Sensing

Introduction to Remote Sensing Introduction to Remote Sensing Outline Remote Sensing Defined Resolution Electromagnetic Energy (EMR) Types Interpretation Applications Remote Sensing Defined Remote Sensing is: The art and science of

More information

PLANET IMAGERY PRODUCT SPECIFICATIONS PLANET.COM

PLANET IMAGERY PRODUCT SPECIFICATIONS PLANET.COM PLANET IMAGERY PRODUCT SPECIFICATIONS SUPPORT@PLANET.COM PLANET.COM LAST UPDATED JANUARY 2018 TABLE OF CONTENTS LIST OF FIGURES 3 LIST OF TABLES 4 GLOSSARY 5 1. OVERVIEW OF DOCUMENT 7 1.1 Company Overview

More information

Indian Remote Sensing Satellites

Indian Remote Sensing Satellites Resourcesat-1 Cartosat-1 Indian Remote Sensing Satellites -Current & Future Missions - Presented by: Timothy J. Puckorius Chairman & CEO EOTec 1 Presentation Topics Who is EOTec India s Earth Observation

More information

Chapter 3. Data Acquisition Systems. Ayman F. Habib. Remote Sensing

Chapter 3. Data Acquisition Systems. Ayman F. Habib. Remote Sensing Chapter 3 Data Acquisition Systems 1 Overview Utilized portions of the electro-magnetic radiation. Visible band. Infrared band. LIDAR systems. Microwave band (RADAR). Optical sensors (scanning operational

More information

KOMPSAT Constellation. November 2012 Satrec Initiative

KOMPSAT Constellation. November 2012 Satrec Initiative KOMPSAT Constellation November 2012 Satrec Initiative KOMPSAT Constellation KOMPSAT National program Developed and operated by KARI (Korea Aerospace Research Institute) Dual use : Government & commercial

More information

EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000

EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000 EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000 Jacobsen, Karsten University of Hannover Email: karsten@ipi.uni-hannover.de

More information

Lecture 7 Earth observation missions

Lecture 7 Earth observation missions Remote sensing for agricultural applications: principles and methods (2013-2014) Instructor: Prof. Tao Cheng (tcheng@njau.edu.cn). Nanjing Agricultural University Lecture 7 Earth observation missions May

More information

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES H. Topan*, G. Büyüksalih*, K. Jacobsen ** * Karaelmas University Zonguldak, Turkey ** University of Hannover, Germany htopan@karaelmas.edu.tr,

More information

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING K. Jacobsen Leibniz University Hannover, Institute of Photogrammetry and Geoinformation jacobsen@ipi.uni-hannover.de Commission

More information

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION F. Gao a, b, *, J. G. Masek a a Biospheric Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA b Earth

More information

Blacksburg, VA July 24 th 30 th, 2010 Remote Sensing Page 1. A condensed overview. For our purposes

Blacksburg, VA July 24 th 30 th, 2010 Remote Sensing Page 1. A condensed overview. For our purposes A condensed overview George McLeod Prepared by: With support from: NSF DUE-0903270 in partnership with: Geospatial Technician Education Through Virginia s Community Colleges (GTEVCC) The art and science

More information

TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD

TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD Şahin, H. a*, Oruç, M. a, Büyüksalih, G. a a Zonguldak Karaelmas University, Zonguldak, Turkey - (sahin@karaelmas.edu.tr,

More information

Introduction to KOMPSAT

Introduction to KOMPSAT Introduction to KOMPSAT September, 2016 1 CONTENTS 01 Introduction of SIIS 02 KOMPSAT Constellation 03 New : KOMPSAT-3 50 cm 04 New : KOMPSAT-3A 2 KOMPSAT Constellation KOMPSAT series National space program

More information

Image Fusion. Pan Sharpening. Pan Sharpening. Pan Sharpening: ENVI. Multi-spectral and PAN. Magsud Mehdiyev Geoinfomatics Center, AIT

Image Fusion. Pan Sharpening. Pan Sharpening. Pan Sharpening: ENVI. Multi-spectral and PAN. Magsud Mehdiyev Geoinfomatics Center, AIT 1 Image Fusion Sensor Merging Magsud Mehdiyev Geoinfomatics Center, AIT Image Fusion is a combination of two or more different images to form a new image by using certain algorithms. ( Pohl et al 1998)

More information

On the use of water color missions for lakes in 2021

On the use of water color missions for lakes in 2021 Lakes and Climate: The Role of Remote Sensing June 01-02, 2017 On the use of water color missions for lakes in 2021 Cédric G. Fichot Department of Earth and Environment 1 Overview 1. Past and still-ongoing

More information

OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION

OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION DooChun Seo 1, GiByeong Hong 1, ChungGil Jin 1, DaeSoon Park 1, SukWon Ji 1 and DongHan Lee 1 1 KARI(Korea Aerospace Space Institute), 45, Eoeun-dong,

More information

Earth s Gravitational Pull

Earth s Gravitational Pull Satellite & Sensors Space Countries Earth s Gravitational Pull The Earth's gravity pulls everything toward the Earth. In order to orbit the Earth, the velocity of a body must be great enough to overcome

More information

The world s most advanced constellation

The world s most advanced constellation The DigitalGlobe Constellation The world s most advanced constellation of very high-resolution satellites The world s most advanced constellation The DigitalGlobe constellation of high-resolution satellites

More information

29 th Annual Louisiana RS/GIS Workshop April 23, 2013 Cajundome Convention Center Lafayette, Louisiana

29 th Annual Louisiana RS/GIS Workshop April 23, 2013 Cajundome Convention Center Lafayette, Louisiana Landsat Data Continuity Mission 29 th Annual Louisiana RS/GIS Workshop April 23, 2013 Cajundome Convention Center Lafayette, Louisiana http://landsat.usgs.gov/index.php# Landsat 5 Sets Guinness World Record

More information

How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser

How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser Including Introduction to Remote Sensing Concepts Based on: igett Remote Sensing Concept Modules and GeoTech

More information

Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014

Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014 Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014 Contents Introduction GMES Copernicus Six thematic areas Infrastructure Space data An introduction to Remote Sensing In-situ data Applications

More information

Remote Sensing Instruction Laboratory

Remote Sensing Instruction Laboratory Laboratory Session 217513 Geographic Information System and Remote Sensing - 1 - Remote Sensing Instruction Laboratory Assist.Prof.Dr. Weerakaset Suanpaga Department of Civil Engineering, Faculty of Engineering

More information

The DigitalGlobe Constellation. World s Largest Sub-Meter High Resolution Satellite Constellation

The DigitalGlobe Constellation. World s Largest Sub-Meter High Resolution Satellite Constellation The DigitalGlobe Constellation World s Largest Sub-Meter High Resolution Satellite Constellation The DigitalGlobe Constellation The DigitalGlobe constellation of high resolution satellites offers incredible

More information

MRLC 2001 IMAGE PREPROCESSING PROCEDURE

MRLC 2001 IMAGE PREPROCESSING PROCEDURE MRLC 2001 IMAGE PREPROCESSING PROCEDURE The core dataset of the MRLC 2001 database consists of Landsat 7 ETM+ images. Image selection is based on vegetation greenness profiles defined by a multi-year normalized

More information

Image Acquisition Campaign 2008

Image Acquisition Campaign 2008 Madrid, 12-14 November, 2007 Geomatics in Support of the CAP 1 Image Acquisition Campaign 2008 Pär Johan Åstrand, Maria Erlandsson Mihaela Fotin, Cherith Aspinall JRC, CID JRC, CID Madrid, 12-14 November,

More information

RGB colours: Display onscreen = RGB

RGB colours:  Display onscreen = RGB RGB colours: http://www.colorspire.com/rgb-color-wheel/ Display onscreen = RGB DIGITAL DATA and DISPLAY Myth: Most satellite images are not photos Photographs are also 'images', but digital images are

More information

SEA GRASS MAPPING FROM SATELLITE DATA

SEA GRASS MAPPING FROM SATELLITE DATA JSPS National Coordinators Meeting, Coastal Marine Science 19 20 May 2008 Melaka SEA GRASS MAPPING FROM SATELLITE DATA Mohd Ibrahim Seeni Mohd, Nurul Hazrina Idris, Samsudin Ahmad 1. Introduction PRESENTATION

More information

EO Data Today and Application Fields. Denise Petala

EO Data Today and Application Fields. Denise Petala EO Data Today and Application Fields Denise Petala ! IGD GROUP AE "Infotop SA, Geomet Ltd., Dynatools Ltd. "Equipment and know how in many application fields, from surveying till EO data and RS. # Leica,

More information

(Refer Slide Time: 1:28)

(Refer Slide Time: 1:28) Introduction to Remote Sensing Dr. Arun K Saraf Department of Earth Sciences Indian Institute of Technology Roorkee Lecture 10 Image characteristics and different resolutions in Remote Sensing Hello everyone,

More information

typical spectral signatures of photosynthetically active and non-photosynthetically active vegetation (Beeri et al., 2007)

typical spectral signatures of photosynthetically active and non-photosynthetically active vegetation (Beeri et al., 2007) typical spectral signatures of photosynthetically active and non-photosynthetically active vegetation (Beeri et al., 2007) Xie, Y. et al. J Plant Ecol 2008 1:9-23; doi:10.1093/jpe/rtm005 Copyright restrictions

More information

Remote Sensing in Daily Life. What Is Remote Sensing?

Remote Sensing in Daily Life. What Is Remote Sensing? Remote Sensing in Daily Life What Is Remote Sensing? First time term Remote Sensing was used by Ms Evelyn L Pruitt, a geographer of US in mid 1950s. Minimal definition (not very useful): remote sensing

More information

TechTime New Mapping Tools for Transportation Engineering

TechTime New Mapping Tools for Transportation Engineering GeoEye-1 Stereo Satellite Imagery Presented by Karl Kliparchuk, M.Sc., GISP kkliparchuk@mcelhanney.com 604-683-8521 All satellite imagery are copyright GeoEye Corp GeoEye-1 About GeoEye Corp Headquarters:

More information

Summary. Introduction. Remote Sensing Basics. Selecting a Remote Sensing Product

Summary. Introduction. Remote Sensing Basics. Selecting a Remote Sensing Product K. Dalsted, J.F. Paris, D.E. Clay, S.A. Clay, C.L. Reese, and J. Chang SSMG-40 Selecting the Appropriate Satellite Remote Sensing Product for Precision Farming Summary Given the large number of satellite

More information

DigitalGlobe High Resolution Satellite Imagery

DigitalGlobe High Resolution Satellite Imagery DigitalGlobe High Resolution Satellite Imagery KIAN KANG, SALES MANAGER, SOUTH EAST ASIA & TAIWAN See a better world. DigitalGlobe Overview Over 1,300 employees spanning the globe H E A D Q UA R T E R

More information

CALIBRATION OF OPTICAL SATELLITE SENSORS

CALIBRATION OF OPTICAL SATELLITE SENSORS CALIBRATION OF OPTICAL SATELLITE SENSORS KARSTEN JACOBSEN University of Hannover Institute of Photogrammetry and Geoinformation Nienburger Str. 1, D-30167 Hannover, Germany jacobsen@ipi.uni-hannover.de

More information

High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony

High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony K. Jacobsen, G. Konecny, H. Wegmann Abstract The Institute for Photogrammetry and Engineering Surveys

More information

The Global Imager (GLI)

The Global Imager (GLI) The Global Imager (GLI) Launch : Dec.14, 2002 Initial check out : to Apr.14, 2003 (~L+4) First image: Jan.25, 2003 Second image: Feb.6 and 7, 2003 Calibration and validation : to Dec.14, 2003(~L+4) for

More information

INTRODUCTION TO REMOTE SENSING AND ITS APPLICATIONS

INTRODUCTION TO REMOTE SENSING AND ITS APPLICATIONS INTRODUCTION TO REMOTE SENSING AND ITS APPLICATIONS Prof. Dr. Abudeif A. Bakheit Geology Department. Faculty of Science Assiut University This representation was prepared from different power point representations

More information

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution CHARACTERISTICS OF REMOTELY SENSED IMAGERY Spatial Resolution There are a number of ways in which images can differ. One set of important differences relate to the various resolutions that images express.

More information

Introduction to Remote Sensing

Introduction to Remote Sensing Introduction to Remote Sensing Daniel McInerney Urban Institute Ireland, University College Dublin, Richview Campus, Clonskeagh Drive, Dublin 14. 16th June 2009 Presentation Outline 1 2 Spaceborne Sensors

More information

Introduction to Remote Sensing Part 1

Introduction to Remote Sensing Part 1 Introduction to Remote Sensing Part 1 A Primer on Electromagnetic Radiation Digital, Multi-Spectral Imagery The 4 Resolutions Displaying Images Corrections and Enhancements Passive vs. Active Sensors Radar

More information

Lecture 13: Remotely Sensed Geospatial Data

Lecture 13: Remotely Sensed Geospatial Data Lecture 13: Remotely Sensed Geospatial Data A. The Electromagnetic Spectrum: The electromagnetic spectrum (Figure 1) indicates the different forms of radiation (or simply stated light) emitted by nature.

More information