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

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

Introduction of Satellite Remote Sensing

Introduction to Satellite Remote Sensing

Satellite Remote Sensing: Earth System Observations

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

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

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

An Introduction to Remote Sensing & GIS. Introduction

IKONOS High Resolution Multispectral Scanner Sensor Characteristics

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

Aral Sea profile Selection of area 24 February April May 1998

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

Remote Sensing Platforms

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

Using Freely Available. Remote Sensing to Create a More Powerful GIS

3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information

Sources of Geographic Information

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

Remote Sensing Platforms

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 Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen

Remote Sensing Exam 2 Study Guide

Earth s Gravitational Pull

CHAPTER 7: Multispectral Remote Sensing

Remote Sensing and GIS

Lecture 13: Remotely Sensed Geospatial Data

1. Theory of remote sensing and spectrum

On the use of water color missions for lakes in 2021

Remote Sensing for Rangeland Applications

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

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

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION

REMOTE SENSING FOR FLOOD HAZARD STUDIES.

Lecture 7 Earth observation missions

A map says to you, 'Read me carefully, follow me closely, doubt me not.' It says, 'I am the Earth in the palm of your hand. Without me, you are alone

Introduction to Remote Sensing

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

Update on Landsat Program and Landsat Data Continuity Mission

Remote Sensing of the Environment An Earth Resource Perspective John R. Jensen Second Edition

REMOTE SENSING INTERPRETATION

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

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition

Sensor resolutions from space: the tension between temporal, spectral, spatial and swath. David Bruce UniSA and ISU

John P. Stevens HS: Remote Sensing Test

GIS Data Collection. Remote Sensing

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

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

Coral Reef Remote Sensing

Remote Sensing. Division C. Written Exam

Interpreting land surface features. SWAC module 3

Fundamentals of Remote Sensing

Remote Sensing in Daily Life. What Is Remote Sensing?

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

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

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING

Earth Observations from Space U.S. Geological Survey

JP Stevens High School: Remote Sensing

Introduction to Remote Sensing

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

Sommersemester Prof. Dr. Christoph Kleinn Institut für Waldinventur und Waldwachstum Arbeitsbereich Fernerkundung und Waldinventur.

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

NASA Missions and Products: Update. Garik Gutman, LCLUC Program Manager NASA Headquarters Washington, DC

US Commercial Imaging Satellites

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

to Geospatial Technologies

Monitoring agricultural plantations with remote sensing imagery

Active and Passive Microwave Remote Sensing

Dr. P Shanmugam. Associate Professor Department of Ocean Engineering Indian Institute of Technology (IIT) Madras INDIA

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

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

NEC s EO Sensors and Data Applications

Solid Earth Timeline with a smattering of cryosphere technology

Abstract Quickbird Vs Aerial photos in identifying man-made objects

Data acquisition and integration 6.

RADAR (RAdio Detection And Ranging)

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

Important Missions. weather forecasting and monitoring communication navigation military earth resource observation LANDSAT SEASAT SPOT IRS

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

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Radiometric Resolution

Environmental and Natural Resources Issues in Minnesota. A Remote Sensing Overview: Principles and Fundamentals. Outline. Challenges.

Ghazanfar A. Khattak National Centre of Excellence in Geology University of Peshawar

ADDITIONAL SATELLITE AND SENSORS

Remote Sensing Techniques

MSB Imagery Program FAQ v1

ASTER ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER

Part I. The Importance of Image Registration for Remote Sensing

APCAS/10/21 April 2010 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION. Siem Reap, Cambodia, April 2010

TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD

Chapter 8. Remote sensing

Lecture Notes Prepared by Prof. J. Francis Spring Remote Sensing Instruments

HYPERSPECTRAL IMAGERY FOR SAFEGUARDS APPLICATIONS. International Atomic Energy Agency, Vienna, Austria

Remote Sensing of Environment (RSE)

RADIOMETRIC CALIBRATION

QuikScat 6/19/ km AM, 6PM. 705 km :00 PM SeaWiFS. 705 km :01 AM. SeaWinds. Aqua (PM) 5/4/02

Precision Remote Sensing and Image Processing for Precision Agriculture (PA)

Lecture 1 Introduction to Remote Sensing

EO Data Today and Application Fields. Denise Petala

A broad survey of remote sensing applications for many environmental disciplines

Chapter 1. Introduction

Introduction to Remote Sensing Part 1

Transcription:

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. The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. The manned Gemini and Apollo Programs (1962-72) led to further consideration of space-age remote sensing for study of Earth. The Earth Resources Technology Satellite, later designated Landsat, provided repetitive multispectral observation of the Earth. Earth rising

Skylab, the largest manned space station placed at low Earth orbit at the time, was lunched in May 14, 1973 and carried into space the Earth Resources Experiment Package (EREP). EREP was designed to view the Earth with sensors that recorded data in the visible, infrared, and microwave spectral regions. EREP became another step in space exploration by testing the high spatial resolution camera systems with film return capability, narrow frequency bandwidth scanner systems in the visible through thermal-infrared spectral region, and initial use of active and passive microwave systems in Earth resources surveys. A significant feature of EREP was the use of man to operate the sensors in a laboratory fashion. Landsat represents the world's longest (since 1972) continuously acquired collection of space-based land remote sensing data. The instruments on the Landsat satellites have acquired millions of images. The images, archived in the United States and at Landsat receiving stations around the world, are a unique resource for global change research and applications in agriculture, geology, forestry, regional planning, education and national security.

Landsat Missions Landsat 1 (07/12/1972-01/06/1978) - RBV, MSS (80m) Landsat 2 (01/22/1975-07/27/1983) - RBV, MSS (80m) Landsat 3 (03/05/1978-09/07/1983) - RBV, MSS (80m) Landsat 4 (07/16/1982 - ) - MSS, TM (30m, 120m TIR) Landsat 5 (03/01/1984 - ) - MSS, TM (30m, 120m TIR) Landsat 6 (10/05/1993): ETM Landsat 7 (04/23/1999 - ) - ETM+ (30m, 60m TIR, 15m Pan) Landsat Data Continuity Mission (LDCM) 2010...?????? RBV = Returned Beam Vidicon camera flown on Landsat 1-3 MSS = Multispectral Scanner (flown on Landsat 1-5) TM = Thematic Mapper (flown on Landsat 4-5) ETM+ = Enhanced Thematic Mapper (flown on Landsat 7) August 17, 2007, The Office of Science and Technology Policy (OSTP) released the National Land Imaging Program (NLIP) strategy. This program is designed to meet U.S. civilian moderate resolution land imaging needs to monitor the changes in land surface, Polar Regions, and coastal zones due to the changes in population growth, development and climate changes. It establishes a program office in the DOI to provide focused leadership and management for the nation s land imaging efforts. NLIP will focus on maintaining a core, operational government commitment and capability to collect moderate-resolution land imagery through the procurement and launch of a series of U.S. owned satellites thereby ensuring the continuity of U.S. collected and managed Landsat-like data, well into future decades.

Spectral Cover of Landsat Sensors Band 1: 0.45-0.52µm (blue). Provide increased penetration of water bodies, as well as supporting analysis of land use, soil, and vegetation characteristics. Band 2: 0.52-0.60µm (green). This band spans the region between the blue and red chlorophyll absorption bands and therefore corresponds to the green reflectance of healthy vegetation. Band 3: 0.63-0.69µm (red). This is the red chlorophyll absorption band of healthy green vegetation and represents one of the most important bands for vegetation discrimination. Spectral Cover of Landsat Sensors Band 4: 0.76-0.90µm (reflective infrared). This band is responsive to the amount of vegetation biomass present in the scene. It is useful for crop identification and emphasizes soil-crop and land-water contrasts. Band 5: 1.55-1.75µm (mid-infrared) This band is sensitive to the amount of moisture in plants and therefore useful in crop draught and in plant vigor studies. Band 6: 2.08-2.35µm (thermal infrared) This band measures the amount of infrared radiant flux emitted from surface. Band 7: 2.08-2.35µm (mid-infrared) This is an important band for the discrimination of geologic rock formation. It is effective in identifying zones of hydrothermal alteration in rocks.

Comparison of Landsat Sensors Spectral Resolution (µm) Spatial Resolution (meter) Temporal Resolution (revisit in days) Spatial coverage (km) Thematic Mapper (TM) Landsat 4 and 5 1. 0.45-0.52 (B) 2. 0.52-0.60 (G) 3. 0.63-0.69 (R) 4. 0.76-0.90 (NIR) 5. 1.55-1.75 (MIR) 6. 2.08-2.35 (MIR) 7. 10.4-12.5 (TIR) 30 x 30 120 x 120 (TIR) Enhanced Thematic Mapper Plus (ETM+) Landsat 7 1. 0.45-0.52 2. 0.53-0.61 3. 0.63-0.69 4. 0.78-0.90 5. 1.55-1.75 6. 2.09-2.35 7. 10.4-12.5 8. 0.52-0.90 (Pan) 15 x 15 (Pan) 30 x 30 60 x 60 (TIR) 16 16 18 Multispectral Scanner (MSS) Landsat 1-5 0.5-0.6 (green) 0.6-0.7 (red) 0.7-0.8 (NIR) 0.8-1.1 (NIR) 79 x 79 185 x 185 183 x 170 185 x 185 Altitude (km) 705 705 915 (Landsat 1,2,3) Landsat-7 ETM+ Data of Providence Landsat-7 Panchromatic Data (15 m) Landsat-7 ETM+ Data (30 m), Bands 3, 2, 1 in RGB Landsat-7 ETM+ Data (30 m), Bands 4, 3, 2 in RGB Landsat-7 ETM+ Data (30 m), Bands 4, 5, 3 in RGB

Rhode Island: Path 12/Row 31

Landsat Ground Stations

Landsat Images of the World https://zulu.ssc.nasa.gov/mrsid/mrsid.pl 1990/2000 Landsat coverage available.

Mangroves in the Niger River Delta: 1990 Landsat Image Over 100 kilometers crisscrossing streams and rivers of the Kibasira Swamp

Stiegler s Gorge section of the Rufiji River Streams and rivers eroding the banks of the Rufiji river

TERRA (EOS AM) - Launched December 18, 1999 The following instruments fly on TERRA: ASTER: MODIS: Advanced Spaceborne Thermal Emission and Reflection Radiometer (15m - 3 bands in VNIR; 30m - 6 bands in SWIR; 90m - 5 bands in TIR) Moderate Resolution Spectroradiometer (0.4-14.4 µm) (250m - 2 bands, 500m - 5 bands, 1000m - 29 bands) CERES: Clouds and the Earth's Radiant Energy System MISR: Multi-angle Imaging Spectroradiometer MOPITT: Measurements of Pollution in the Troposphere. Provisional Land Cover Product June 01 MODIS data from Jul 00 Jan 01 26

The MODIS Global Vegetation Phenology product (MOD12Q2) provides estimates of the timing of vegetation phenology at global scales. As such, MOD12Q2 identifies the vegetation growth, maturity, and senescence marking seasonal cycles. EO-1: successfully launched on November 21, 2000 ALI -Advanced Land Imager consists of a 15 Wide Field Telescope (WFT) and partially populated focal plane occupying 1/5th of the field-of-view, giving a ground swath width of 37 km. Hyperion Hyper-spectral sensors a grating imaging spectrometer having a 30 meter ground sample distance over a 7.5 kilometer swath and providing 10nm (sampling interval) contiguous bands of the solar reflected spectrum from 400-2500nm.

Hyperspectral data Hyperion sensor on board the EO-1 Satellite Spectral profile in a single pixel location from 0.4 to 2.5 µm at 10 nm interval for a continuous coverage over 220 bands EO-1 launched November 21, 2000 EOS AM Constellation / Ground Tracks

SPOT satellites SPOT 5 was successfully launched on May 3, 2002 SPOT 4 - March 24, 1998 SPOT-4 VEGETATION SPOT 3 - Sept. 25, 1993 SPOT 2 - Jan. 22, 1990 SPOT 1 - Feb. 21, 1986 The SPOT Sensor The position of each HRV entrance mirror can be commanded by ground control to observe a region of interest not necessarily vertically beneath the satellite. Thus, each HRV offers an oblique viewing capability, the viewing angle being adjustable through +/- 27degrees relative to the vertical. Two spectral modes of acquisition are employed, panchromatic (P) and multispectral (XS). Both HRVs can operate in either mode, either simultaneously or individually.

SPOT 4-VEGETATION: This program marks a significant advance to monitor crops and the continental biosphere. The VEGETATION instrument flying on Spot 4 provides global coverage on an almost daily basis at a resolution of 1 kilometer, thus making it an ideal tool for observing long-term environmental changes on a regional and worldwide scale. With a swath width of 2,250 kilometers, the VEGETATION instrument covers almost all of the globe's land masses while orbiting the Earth 14 times a day. Only a few zones near the equator are covered every day. Areas above 35 latitude are seen at least once daily. Launched: September 24, 1999 Ground resolution: 1 meter panchromatic (0.45-0.90 µm), 4 meters multispectral (same as Landsat TM bands 1-4) (Band 1: 0.45-0.52 µm Blue) (Band 2: 0.52-0.60 µm Green) (Band 3: 0.63-0.69 µm Red) (Band 4: 0.76-0.90 µm Near IR)

On October 19, 2001 DigitalGlobe launched the QuickBird satellite.

September 3, 2003 QuickBird Satellite Panchromatic Images (0.6-m Spatial Resolution) Concepts of Spatial Resolution September 3, 2003 QuickBird Satellite True-color and Pseudo-color Images 2.5-m Spatial Resolution Concept of Multispectral Or spectral resolution

QuickBird-2 Satellite (Launched: Oct. 19, 2001) Spatial Resolutions: 0.61 meter panchromatic; 2.5 meters multispectral Enhanced Multispectral Multispectral Image Image 2.5 m (0.6 Spatial m Spatial Resolution Resolution) Panchromatic Image 0.6 m Spatial Resolution Resolution Merge?

Enhanced Multispectral Image (0.6 m Spatial Resolution) QuickBird Enhanced Spatial Resolution True Color Satellite Image (0.6 m) (Band 3, 2, 1 in RGB) Comparable Spatial Resolution True Color Orthophoto (0.5 m Spatial Resolution)

QuickBird Enhanced Spatial Resolution Pseudo Color Satellite Image (0.6 m) (Band 4, 2, 1 in RGB) More Spectral Coverage True Color Orthophoto (0.5 m Spatial Resolution) Comparison of Enhanced Spatial Resolution QuickBird Multispectral Image and True Color Orthophoto

DigitalGlobe WorldView I First Images (Houston and Yokohama) WorldView I, launched September 2007, collects 0.5-meter resolution imagery with an average revisit time of 1.7 days. WorldView II, is anticipated to launch in late 2008. 0.5-meter panchromatic resolution and 1.8- meter multispectral resolution, an average revisit time of 1 day. GeoEye-1 0.4-meter Spatial Resolution Data (simulated) vs. 1-meter Data

GeoEye-1, a Google sponsored satellite, was successfully launched September 6, 2008. October 13, 2008, GeoEye released its first image, awaiting NGA (National Geospatial Intelligence Agency, the largest customer of GeoEye-1) approval. GeoEye's next satellite, GeoEye-2, is in a phased development process for an advanced, third-generation satellite capable of discerning objects on the Earth s surface as small as 0.25-meter (9.75 inch) in size. The company expects to contract with a satellite builder in 2008 and launch the satellite approximately three years after work begins under that contract.

Shuttle Radar Topography Mission (SRTM), February 11-22, 2000, obtained the high-resolution digital topographic database of the Earth Mt. Kilimanjaro (5,895 m) Digital Elevation Model (DEM) in GIS Tanzania/ Kenya Coastal Zone SeaWiFS October 2001 SeaWiFS October 1997 Credit line for all images: Provided by the SeaWiFS Project, NASA/Goddard Space Flight Center and ORBIMAGE

Landsat Images of the World The purpose of the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project is to provide quantitative data on global ocean bio-optical properties to the Earth science community. Subtle changes in ocean color signify various types and quantities of marine phytoplankton (microscopic marine plants), the knowledge of which has both scientific and practical applications. SeaWiFS was launched on August 1, 1997. Instrument Bands Band Wavelength 1 402-422 nm 2 433-453 nm 3 480-500 nm 4 500-520 nm 5 545-565 nm 6 660-680 nm 7 745-785 nm 8 845-885 nm Mission Characteristics Orbit Type Equator Crossing Orbital Period Spatial Resolution Revisit Time Digitization Sun Synchronous at 705 km Noon +20 min, descending 99 minutes 1.1 km LAC, 4.5 km GAC 1 day 10 bits

Examples Of SeaWiFS Images