Multispectral Scanners for Wildland Fire Assessment NASA Ames Research Center Earth Science Division. Bruce Coffland U.C.
|
|
|
- Cameron Marshall
- 6 years ago
- Views:
Transcription
1 Multispectral Scanners for Wildland Fire Assessment NASA Earth Science Division Bruce Coffland U.C. Santa Cruz Slide Fire Burn Area (MASTER/B200) R 2.2um G 0.87um B 0.65um Airborne Science & Technology Lab
2 NASA Airborne Science Program MISSION Enable Earth science research and applications by providing airborne observational capability to augment space-based systems, and to provide targeted characterizations of regional or localized phenomena at high spatial and temporal resolutions. Support is provided to these six science focus areas: - Carbon cycle and Ecosystems - Atmospheric Composition - Climate Variability and Change - Weather - Earth Surface and Interior (Includes Natural Hazards) - Water and Energy cycle Airborne Science and Technology Lab
3 Yellowstone Fire, 1988 ER-2 TMS (TM 6,7,5 = RGB) Data down linked in real-time with LOS telemetry system
4 Marple Fire, 1996 TMS Data broadcast in real-time via STARLink Ku-band Sat-Com system Oakland Hills Fire, 1989 NS001 Airborne Science and Technology Lab
5 NASA Airborne Platforms & IR Imaging Systems AMS MASTER ER-2 B-200 Airborne Science & Technology Lab
6 AMS Autonomous Modular Sensor System (AMS) 3 Interchangeable Spectrometers for Land/Wildfire; Ocean Color, Atmospheric Dynamics On-board Processors for Real-time Geo-Rectification & PI Algorithms Packaged for Un-Pressurized Operation Compatible with Crewed or UAS aircraft Representative Imagery: TMS AOCI MAMS Airborne Science and Technology Lab
7 UAS AMS WildFire Band Wavelength µm (TM1) (TM2) (TM3) (TM4) (TM5) (TM7) (VIIRS M12) (VIIRS M15) Total Field of View: 85.9 degrees (or 42.5 degrees) IFOV: 2.5mrad (1.25mrad) Altitude: Spatial Resolution: 20m (10m) at sea level Airborne Science & Technology Lab
8 AMS System Components on Pod Tray Two environmental enclosures (data disks & GPS; and power supplies & controllers) Scan Head Data System Enclosure Airborne Science & Technology Lab
9 Airborne Science and Technology Lab AMS Components on Pod Tray
10 UAS Telemetry Link Module A universal Interface for science payloads to broad band telemetry systems (Ku, S, C, L) AMS Data System Inputs for >20 instruments using standard protocols 40 Mbs max. throughput (link speed limited) Experimenter CPU & mass storage for science data reduction & recording Real-time on-board generation of Level-1 & 2 geophysical products (Fire mission config.) Interfaces to ground-based IMM & Collaborative Decision Sensor Web Environment Currently mounted in AMS data system enclosure Airborne Science and Technology Lab Link Module
11 Airborne Element Line Scanner UAS Image Data Flow Diagram POS/AV IMU/DGPS Ground Element Internet End User Functions: Digitizer Image Data Capture (ADC) NAV Data MUX Shared Storage Full Res. 200Hz Data (RS-232) Functions: Web Server GIS User Interface Image Server: Level-2 GEOTIF Thumbnails Track Map Server Shared Storage Flight Computer Functions: Geo-Correction Processing Fire Algorithm Processing On-Demand Image Subsetting Sat Com Link 3 Mbs Ku (Full Res. Image Subsets) 9.6 Kbs Sensor C&C, IMM) Ground Computer Functions: IMM Interface Query Handling Science Algorithm Processing Sensor C&C DEM Database Airborne Science and Technology Lab Product QA/QC
12 Airborne Science and Technology Lab Poomacha Fire, 2007 AMS
13 AMS Coverage Acquired October 28, 2007 (Ikhana)
14 AMS: Moonlight Fire 9/5/07 (Daytime Perspective View) Airborne Science & Technology Lab
15 Castle Rock Fire AMS Airborne Science and Technology Lab Ketchum, Idaho
16 AMS Next Steps Lower gain in 1.6µm bands to avoid saturation Add additional low gain band at 3.7µm, to avoid saturation and retain radiometric calibration Refine IR calibration with high-temperature laboratory blackbody System to be configured for UAS ocean color and hurricane observations in System to remain available for fire mapping on a best-effort basis AMS data website: Airborne Science & Technology Lab
17 MASTER: the MODIS/ASTER Airborne Simulator Simulates the Terra Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) and MODIS Sensors Supports NASA Earth Science and Natural Hazards Research 50 Spectral bands in four spectral regions (visible through thermal infrared) Automated Geo-Referencing Spectral Range Number Bandwidth (µm) of Bands (µm) Airborne Science & Technology Lab MASTER Web Browse Imagery
18 MASTER: So Cal Fire Assessment Ranch / Magic / Buckweed Grass Valley Acquisition Dates November 5 15, 2007 Canyon Cajon Slide 5m Resolution 79 Flight lines 950 Nautical miles 54 Gbytes data Santiago Ammo Rice Poomacha Witch Harris Airborne Science and Technology Lab
19 Mission Parameters B200 Aircraft at 6500 AGL, 190kts 79 flight lines; 950 nm (1,759 km) total 6 Data flights (Nov. 5 15, 2007) 5 meter ground resolution 2 nm (3.7 km) swath width 10:00 14:00L daily flight window (solar elevation > 35 deg) 53.8 Gbytes of data acquired. Airborne Science & Technology Lab
20 Magic Burn Area Acquired November 7,12, 2007
21 Witch Burn Area Acquired November 13-14, 2007
22 Ranch / Magic / Buckweed Burn Areas Acquired November 5, 7, 12, 2007
23 Ranch Burn Area Acquired November 5, 7, 12, 2007
24 Magic Burn Area Acquired November 7,12, 2007
25 Buckweed Burn Area Acquired November 5, 7, 12, 2007
26 Harris Burn Area Acquired 13 November 2007
27 Poomacha Burn Area Acquired 14 November 2007
28 Multispectral Scanners for Wildland Fire Assessment NASA Earth Science Division Slide Fire Burn Area (MASTER/B200) R 2.2um G 0.87um B 0.65um Airborne Science & Technology Lab
29 San Francisco Bay Surface Temperature Airborne Science & Technology Lab ER-2 MAS (50m)
FLIGHT SUMMARY REPORT
FLIGHT SUMMARY REPORT Flight Number: 97-011 Calendar/Julian Date: 23 October 1996 297 Sensor Package: Area(s) Covered: Wild-Heerbrugg RC-10 Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) Southern
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.
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)
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
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
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
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
Using Freely Available. Remote Sensing to Create a More Powerful GIS
Using Freely Available Government Data and Remote Sensing to Create a More Powerful GIS All rights reserved. ENVI, E3De, IAS, and IDL are trademarks of Exelis, Inc. All other marks are the property of
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,
Remote Sensing Aircraft Supports Disaster Response
Remote Sensing Aircraft Supports Disaster Response Mark Foster Computer Sciences Corp. NASA Ames Research Center CENIC 2008 - March 10-12, 2008 CENIC 08: Lightpath to the Stars 1 Outline Disaster Scenarios
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
Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor
Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor Jeffery J. Puschell Raytheon Space and Airborne Systems, El Segundo, California Hung-Lung Huang
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
PEGASUS : a future tool for providing near real-time high resolution data for disaster management. Lewyckyj Nicolas
PEGASUS : a future tool for providing near real-time high resolution data for disaster management Lewyckyj Nicolas nicolas.lewyckyj@vito.be http://www.pegasus4europe.com Overview Vito in a nutshell GI
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
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
3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information
Remote Sensing: The Major Source for Large-Scale Environmental Information Jeff Dozier Observations from space Sun-synchronous polar orbits Global coverage, fixed crossing, repeat sampling Typical altitude
CIRiS: Compact Infrared Radiometer in Space August, 2017
1 CIRiS: Compact Infrared Radiometer in Space August, 2017 David Osterman PI, CIRiS Mission Presented by Hansford Cutlip 10/8/201 7 Overview of the CIRiS instrument and mission The CIRiS instrument is
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
Realtime Airborne Imagery for Emergency GIS Applications
Realtime Airborne Imagery for Emergency GIS Applications Demonstration and Evaluation with Monroe County Office of Emergency Management August - September 2010 Information Products Laboratory for Emergency
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
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
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
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
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,
Outline for today. Geography 411/611 Remote sensing: Principles and Applications. Remote sensing: RS for biogeochemical cycles
Geography 411/611 Remote sensing: Principles and Applications Thomas Albright, Associate Professor Laboratory for Conservation Biogeography, Department of Geography & Program in Ecology, Evolution, & Conservation
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
Detection and Monitoring Through Remote Sensing....The Need For A New Remote Sensing Platform
WILDFIRES Detection and Monitoring Through Remote Sensing...The Need For A New Remote Sensing Platform Peter Kimball ASEN 5235 Atmospheric Remote Sensing 5/1/03 1. Abstract This paper investigates the
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,
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
HICO Status and Operations
HICO Status and Operations HICO Users Group 7-8 May 2014 Mary Kappus, HICO Facility Manager Naval Research Laboratory Washington, DC HICO Transition to NASA Tech Demo Phase 1 In September 2009 HICO began
Lidar stands for light detection and ranging. Lidar imagery is created with a laser beam composed of a very narrow light band.
Lidar stands for light detection and ranging. Lidar imagery is created with a laser beam composed of a very narrow light band. This light can be transmitted over large distances. Normal light is composed
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.
Introduction to Remote Sensing
Introduction to Remote Sensing Dr. Mathias (Mat) Disney UCL Geography Office: 301, 3rd Floor, Chandler House Tel: 7670 4290 Email: mdisney@ucl.geog.ac.uk www.geog.ucl.ac.uk/~mdisney 1 Course outline Format
Current and Future Meteorological Satellite Program of China
Current and Future Meteorological Satellite Program of China ZHANG Wenjian, DONG Chaohua XU Jianmin, YANG Jun China Meteorological Administration May 30, 2005 Beijing, CHINA Outline of the Presentation
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
MR-i. Hyperspectral Imaging FT-Spectroradiometers Radiometric Accuracy for Infrared Signature Measurements
MR-i Hyperspectral Imaging FT-Spectroradiometers Radiometric Accuracy for Infrared Signature Measurements FT-IR Spectroradiometry Applications Spectroradiometry applications From scientific research to
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
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
MR-i. Hyperspectral Imaging FT-Spectroradiometers Radiometric Accuracy for Infrared Signature Measurements
MR-i Hyperspectral Imaging FT-Spectroradiometers Radiometric Accuracy for Infrared Signature Measurements FT-IR Spectroradiometry Applications Spectroradiometry applications From scientific research to
Recent developments in Deep Blue satellite aerosol data products from NASA GSFC
Recent developments in Deep Blue satellite aerosol data products from NASA GSFC Andrew M. Sayer, N. Christina Hsu (PI), Corey Bettenhausen, Myeong-Jae Jeong Climate & Radiation Laboratory, NASA Goddard
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
Compact High Resolution Imaging Spectrometer (CHRIS) siraelectro-optics
Compact High Resolution Imaging Spectrometer (CHRIS) Mike Cutter (Mike_Cutter@siraeo.co.uk) Summary CHRIS Instrument Design Instrument Specification & Performance Operating Modes Calibration Plan Data
1. INTRODUCTION. GOCI : Geostationary Ocean Color Imager
1. INTRODUCTION The Korea Ocean Research and Development Institute (KORDI) releases an announcement of opportunity (AO) to carry out scientific research for the utilization of GOCI data. GOCI is the world
Status of Aqua MODIS Reflective Solar Bands Calibration and Performance
EOS Status of Aqua MODIS Reflective Solar Bands Calibration and Performance Jack Xiong NASA GSFC, Greenbelt, MD 20771, USA A. Angal, H. Chen, X. Geng, D. Link, Y. Li, and A. Wu SSAI, 10210 Greenbelt Road,
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
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
RECONNAISSANCE PAYLOADS FOR RESPONSIVE SPACE
3rd Responsive Space Conference RS3-2005-5004 RECONNAISSANCE PAYLOADS FOR RESPONSIVE SPACE Charles Cox Stanley Kishner Richard Whittlesey Goodrich Optical and Space Systems Division Danbury, CT Frederick
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
Overview of how remote sensing is used by the wildland fire community.
Overview of how remote sensing is used by the wildland fire community. Presented to the ASEN 6210 Remote Sensing Seminar on 2/18/04 by: Jeff Baranyi ESRI Denver Reported by Gary Fager. Images are from
Chapter 8. Remote sensing
1. Remote sensing 8.1 Introduction 8.2 Remote sensing 8.3 Resolution 8.4 Landsat 8.5 Geostationary satellites GOES 8.1 Introduction What is remote sensing? One can describe remote sensing in different
Rochester Institute of Technology. Wildfire Airborne Sensor Program (WASP) Project Overview
Rochester Institute of Technology Wildfire Airborne Sensor Program (WASP) Project Overview Introduction The following slides describe a program underway at RIT The sensor system described herein is being
Japanese Advanced Meteorological Imager: A Next Generation GEO Imager for MTSAT-1R
Japanese Advanced Meteorological Imager: A Next Generation GEO Imager for MTSAT-1R Jeffery J. Puschell 1 Raytheon Electronic Systems, Santa Barbara Remote Sensing ABSTRACT The Japanese Advanced Meteorological
Microwave Remote Sensing
Provide copy on a CD of the UCAR multi-media tutorial to all in class. Assign Ch-7 and Ch-9 (for two weeks) as reading material for this class. HW#4 (Due in two weeks) Problems 1,2,3 and 4 (Chapter 7)
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
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
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.
Textbook, Chapter 15 Textbook, Chapter 10 (only 10.6)
AGOG 484/584/ APLN 551 Fall 2018 Concept definition Applications Instruments and platforms Techniques to process hyperspectral data A problem of mixed pixels and spectral unmixing Reading Textbook, Chapter
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
Microwave Remote Sensing (1)
Microwave Remote Sensing (1) Microwave sensing encompasses both active and passive forms of remote sensing. The microwave portion of the spectrum covers the range from approximately 1cm to 1m in wavelength.
CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Radiometric Resolution
CHARACTERISTICS OF REMOTELY SENSED IMAGERY Radiometric 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.
Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS
Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS Time: Max. Marks: Q1. What is remote Sensing? Explain the basic components of a Remote Sensing system. Q2. What is
John P. Stevens HS: Remote Sensing Test
Name(s): Date: Team name: John P. Stevens HS: Remote Sensing Test 1 Scoring: Part I - /18 Part II - /40 Part III - /16 Part IV - /14 Part V - /93 Total: /181 2 I. History (3 pts. each) 1. What is the name
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
of the Small Satellite Mission Systematic Image Processing Eckehard Lorenz, DLR Berlin Ilmenau, Klaus Briess, TU Berlin 49th IWK
Ilmenau, 27.-30.09. 2004 49th IWK Eckehard Lorenz, DLR Berlin Klaus Briess, TU Berlin Astro- und Feinwerktechnik Adlershof GmbH Systematic Image Processing of the Small Satellite Mission BIRD Optical Information
TRACS A-B-C Acquisition and Processing and LandSat TM Processing
TRACS A-B-C Acquisition and Processing and LandSat TM Processing Mark Hess, Ocean Imaging Corp. Kevin Hoskins, Marine Spill Response Corp. TRACS: Level A AIRCRAFT Ocean Imaging Corporation Multispectral/TIR
Remote Sensing. Division C. Written Exam
Remote Sensing Division C Written Exam Team Name: Team #: Team Members: _ Score: /132 A. Matching (10 points) 1. Nadir 2. Albedo 3. Diffraction 4. Refraction 5. Spatial Resolution 6. Temporal Resolution
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
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 and lost. Beryl Markham (West With the Night, 1946
The Moderate Resolution Imaging Spectroradiometer (MODIS): Potential Applications for Climate Change and Modeling Studies
The Moderate Resolution Imaging Spectroradiometer (MODIS): Potential Applications for Climate Change and Modeling Studies Menas Kafatos, CEOSR, George Mason University Jim McManus, CEOSR, GMU and GES DISC
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)
Project Title: Validation and Correction for the MODIS Spatial Response. NASA Grant #: NAG Period: October 1, May 31, 1999
Project Title: Validation and Correction for the MODIS Spatial Response NASA Grant #: NAG5 6339 Period: October 1, 1997 - May 31, 1999 Robert A. Schowengerdt, Principal Investigator Stuart E. Biggar, Co
NEC s EO Sensors and Data Applications
NEC s EO Sensors and Data Applications Second Singapore Space Symposium 30 September, 2015 Nanyang Technological University, Singapore Shimpei Kondo Space Technologies Department, Space System Division,
ESA UNCLASSIFIED - For Official Use
ESA UNCLASSIFIED - For Official Use A Hyperspectral Mission for Sentinel-2 Data Product Validation of a Northern Ombrotrophic Bog Soffer R. J., Arroyo-Mora J.P., Kalacska M., White, H.P., Ifimov G., Leblanc
Fundamentals of Remote Sensing
Climate Variability, Hydrology, and Flooding Fundamentals of Remote Sensing May 19-22, 2015 GEO-Latin American & Caribbean Water Cycle Capacity Building Workshop Cartagena, Colombia 1 Objective To provide
Remote Sensing 1 Principles of visible and radar remote sensing & sensors
Remote Sensing 1 Principles of visible and radar remote sensing & sensors Nick Barrand School of Geography, Earth & Environmental Sciences University of Birmingham, UK Field glaciologist collecting data
Workshop on Practical Applications of MODIS Data in Australia
Workshop on Practical Applications of MODIS Data in Australia Leeuwin Centre, Floreat WA November 26-29, 2002 Liam Gumley Space Science and Engineering Center University of Wisconsin-Madison Introduction
Ground Truth for Calibrating Optical Imagery to Reflectance
Visual Information Solutions Ground Truth for Calibrating Optical Imagery to Reflectance The by: Thomas Harris Whitepaper Introduction: Atmospheric Effects on Optical Imagery Remote sensing of the Earth
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
746A27 Remote Sensing and GIS
746A27 Remote Sensing and GIS Lecture 1 Concepts of remote sensing and Basic principle of Photogrammetry Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University What
SATELLITE OCEANOGRAPHY
SATELLITE OCEANOGRAPHY An Introduction for Oceanographers and Remote-sensing Scientists I. S. Robinson Lecturer in Physical Oceanography Department of Oceanography University of Southampton JOHN WILEY
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
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
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
Hyperspectral Imagery: A New Tool For Wetlands Monitoring/Analyses
WRP Technical Note WG-SW-2.3 ~- Hyperspectral Imagery: A New Tool For Wetlands Monitoring/Analyses PURPOSE: This technical note demribea the spectral and spatial characteristics of hyperspectral data and
Remote Sensing of the Environment An Earth Resource Perspective John R. Jensen Second Edition
Remote Sensing of the Environment An Earth Resource Perspective John R. Jensen Second Edition Pearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout
Processing Aster Data for Atmospheric Correction Geomatica 2014 Tutorial
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor is part of five sensor systems on board Terra. Terra is a satellite that was launched on December 18, 1999 at Vandenberg
Leica - 3 rd Generation Airborne Digital Sensors Features / Benefits for Remote Sensing & Environmental Applications
Leica - 3 rd Generation Airborne Digital Sensors Features / Benefits for Remote Sensing & Environmental Applications Arthur Rohrbach, Sensor Sales Dir Europe, Middle-East and Africa (EMEA) Luzern, Switzerland,
The Advanced Along-Track Scanning Radiometer (AATSR) Mission Status and Early Results
The Advanced Along-Track Scanning Radiometer (AATSR) Mission Status and Early Results M. C. Edwards (University of Leicester, UK) D. Llewellyn-Jones (University of Leicester, UK) D. L. Smith (Rutherford
detected by Himawari-8 then the location will be uplinked to approaching Cubesats as an urgent location for medium resolution imaging.
Title: Cubesat constellation for monitoring and detection of bushfires in Australia Primary Point of Contact (POC) & email: siddharth.doshi2@gmail.com Co-authors: Siddharth Doshi, David Lam, Himmat Panag
Kazuhiro TANAKA GCOM project team/jaxa April, 2016
Kazuhiro TANAKA GCOM project team/jaxa April, 216 @ SPIE Asia-Pacific 216 at New Dehli, India 1 http://suzaku.eorc.jaxa.jp/gcom_c/index_j.html GCOM mission and satellites SGLI specification and IRS overview
Japanese Advanced Meteorological Imager
Japanese Advanced Meteorological Imager Jeffery J. Puschell Raytheon Space and Airborne Systems 2000 East El Segundo Boulevard, EO/E01/C150 El Segundo, CA 90245-0902 UNITED STATES OF AMERICA Abstract:
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!
Sustained Ocean Color Research and Operations
Sustained Ocean Color Research and Operations What are the minimum requirements to continue the SeaWiFS/MODIS time-series? Based on a National Research Council report by the Ocean Studies Board May 2011
DIGITAL EARTH: BRIDGING THE SCALES FROM GLOBAL TO LOCAL FOR SUSTAINABLE DEVELOPMENT
DIGITAL EARTH: BRIDGING THE SCALES FROM GLOBAL TO LOCAL FOR SUSTAINABLE DEVELOPMENT GUO Huadong WANG Changlin Institute of Remote Sensing Applications Chinese Academy of Sciences P.O. Box 9718, Beijing
Baldwin and Mobile Counties, AL Orthoimagery Project Report. Submitted: March 23, 2016
2015 Orthoimagery Project Report Submitted: Prepared by: Quantum Spatial, Inc 523 Wellington Way, Suite 375 Lexington, KY 40503 859-277-8700 Page i of iii Contents Project Report 1. Summary / Scope...
A broad survey of remote sensing applications for many environmental disciplines
1 2 3 4 A broad survey of remote sensing applications for many environmental disciplines 5 6 7 8 9 10 1. First definition is very general and applies to many types of remote sensing. You use your eyes
Solid Earth Timeline with a smattering of cryosphere technology
Solid Earth Timeline with a smattering of cryosphere technology Muhammed Kabiru Hassan * Rebecca Boon Image from http://www.clipartheaven.com/show/clipart/technology_&_communication/satellites/satellite_23-gif.html
SMEX05 Multispectral Radiometer Data: Iowa
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for
Passive Microwave Sensors LIDAR Remote Sensing Laser Altimetry. 28 April 2003
Passive Microwave Sensors LIDAR Remote Sensing Laser Altimetry 28 April 2003 Outline Passive Microwave Radiometry Rayleigh-Jeans approximation Brightness temperature Emissivity and dielectric constant
Sensor resolutions from space: the tension between temporal, spectral, spatial and swath. David Bruce UniSA and ISU
Sensor resolutions from space: the tension between temporal, spectral, spatial and swath David Bruce UniSA and ISU 1 Presentation aims 1. Briefly summarize the different types of satellite image resolutions