Exelis Visual Information Solutions
|
|
|
- Charleen Stone
- 5 years ago
- Views:
Transcription
1 Craig Cowan, Defence and Security Business Development Exelis Visual Information Solutions Hyperspectral Imagery Exploitation Sensors Symposium, Stockholm 10 & 11 Sep 14
2 Exelis September 8,
3 Geospatial Systems September 8,
4 Geospatial Intelligence Solutions and Visual Information Solutions GIS Geospatial Intelligence Solutions VIS Visual Information Solutions PROVIDES: Software and product-enabled solutions that span the complete geospatial intelligence chain from ingest to data management, mining, and exploitation out to dissemination. September 8,
5 Exelis Solutions 08-Sep-14 5
6 The HICO Online Processing System (HOPS): A Web-Enabled Coastal Hyperspectral Imagery Processing System
7 HICO Team Members HICO developers: Naval Research Laboratories Washington DC & Stennis Space Centre (funded by ONR ) Operational funding (& data distribution): International Space Station programme Project sponsorship: Center for the Advancement of Science in Space HICO Website: Curtiss Davis Jasmine Nahorniak
8 Hyperspectral Imager for the Coastal Ocean First spaceborne imaging spectrometer uniquely designed to sample the coastal ocean Instrument overview: Launched September 2009 on the HTV Japanese Experiment Module Exposed Facility Samples 50 x 2000 km per scene at 90 m resolution Spectral coverage nm at 5.7 nm resolution Initially sponsored by Office of Naval Research Currently support by NASA (image credits: NASA)
9 ENVI Services Engine Allows deployment of traditional ENVI/IDL desktop capabilities into on-line, on-demand environments
10 HICO Image Pre-Processing Processing steps prior to deployment in ESE include both atmospheric correction and improved geo-location HICO Raw Atmospheric Correction Tafkaa Improved Geo-Location Registration to Landsat L1T HICO Scene
11 Image Processing Workflows Algorithms are being implemented using workflows, whereby sequential processing steps are explicitly linked in the interface HICO Scene Land/Cloud Mask Chl Algorithm Image Difference 3-Band Image Chl_OC4 = OC4 chlorophyll concentration (mg m -3 ) Chl_OCI = OCI chlorophyll concentration (mg m -3 ) Chl_diff = chlorophyll concentration difference (mg m -3 ) OC4 - O Reilly et al. 2000; OCI - Hu et al. 2012
12 Additional Algorithms Additional workflows and algorithms include a land/cloud mask, quasianalytical algorithm, and a semi-analytical inversion model User Input: Threshold HICO Scene Land/Cloud Mask 1-Band Image mask = 0 for land/cloud; 1 for water NDWI - McFeeters 1996 HICO Scene Land/Cloud Mask QAA Algorithm 4-Band Image a438 = total absorption (m -1 ) aph438 = phytoplankton absorption (m -1 ) adg438 = detritus/gelbstoff absorption (m -1 ) bbp438 = particle backscattering (m -1 ) bb438 = total backscattering (m -1 ) QAAv5 - Lee et al. 2009, 2002 HICO Scene Land/Cloud Mask Inversion Model 7-Band Image aph440 = phytoplankton absorption (m -1 ) adg440 = detritus/gelbstoff absorption (m -1 ) bbp440 = particle/angle/sea state absorption (m -1 ) B550 = bottom albedo ( - ) H = water depth (m) a438 = total absorption (m -1 ) bb438 = total backscattering (m -1 ) Goodman et al. 2008; Lee et al. 1999, 1998
13 HICO Data Locations A list of 20 top-priority high-quality scenes have been identified for inclusion in the prototype processing system Columbia River San Francisco Bay Monterey Bay St Joseph Bay Key Largo Martha s Vineyard Chesapeake Bay Onslow Bay Bahamas Acqua Alta Turkish Straits Yellow River Han River Montgomery Reef Darwin Harbor Noumea Shark Bay Heron Island Punta Rasa Christchurch
14 HICO Image Processing System Development of a prototype cloud computing system for the processing, analysis and visualization of HICO imagery
15 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
16 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
17 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
18 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
19 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
20 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
21 HICO Image Processing System Example output for chlorophyll concentration in the Florida Keys
22 Example Chl OC4 Output Processing tool facilitates on-demand implementation of algorithms across a global range of HICO scenes Onslow Bay St Joseph Bay Darwin Harbor Columbia River Acqua Alta
23 Future Development A look ahead at the prototype completion and plans for future development into an operational system Prototype deployment: Scheduled for completion in July 2014 Prototype system to be available for 6 months Science community is encouraged to test/evaluate Operational system: Ideally - Installation on server where data resides Development of data library and data ingest tools Implementation of additional algorithms and analytics
24 Lessons learned: 1. Ability to easily add / field new algorithms is invaluable 2. Development of new processes that can be shared through the cloud can reduce analytical burden 3. Image exploitation can be performed in the cloud through development and deployment of services 4. Processing in the cloud permits the bandwidth efficient transfer / dissemination of the desired analytical product Presentation title Calibri Regular 9 pt September 8,
25 PSG GET THE ANSWERS YOU NEED FROM A TEAM YOU CAN TRUST > Custom Solutions for Complex Problems > Extend COTS > Deployment and Integration Services > Custom Software Solutions
26 Nation building: USGS Surface Materials Maps of Afghanistan US Task Force for Business and Stability Operations Flown at 15,240 meters (roughly 50,000 feet) 218 flight lines of hyperspectral data (>200 bands) collected over 70% Afghanistan Aug Oct 07. National maps produced 08 HyMap data processed, empirically adjusted (using ground-based reflectance measurements) and georeferenced to Landsat base imagery 2 national surface materials maps of Afghanistan produced & 60 x 1:250k Quadrangles (released 2014) 31 classes of materials Iron bearing and other minerals Encourage mineral extraction industry growth from $148m p.a. in 2012 to $1n p.a. by 2020 First of kind vast data sets 26
27 Nation building: USGS Surface Materials Maps of Afghanistan It gave us the opportunity to develop software, develop new calibration methods, it gave us rapid mapping. so the USGS has benefited immensely. Dr Trude King, USGS Presentation title Calibri Regular 9 pt September 8,
28 World View 3 8 x visible & 8 x SWIR bands V5.2 will include 60+ spectral indices computed from multi-band (MSI or HSI) data sets 28
29 Thank You Exelis Visual Information Solutions, Inc.
All rights reserved. ENVI, IDL and Jagwire are trademarks of Exelis, Inc. All other marks are the property of their respective owners.
Services Engine The HICO Online Processing System: A Web-Enabled Coastal Hyperspectral Imagery Processing System All rights reserved. ENVI, IDL and Jagwire are trademarks of Exelis, Inc. All other marks
The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview
The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview Curtiss O. Davis Oregon State University, Corvallis, OR, USA Michael Corson and Robert Lucke Naval Research Laboratory,
(HICO): Sensor and Data Processing Overview
The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview Curtiss O. Davis Oregon State t University, it Corvallis, OR, USA Michael Corson and Robert Lucke Naval Research
The Development of Imaging Spectrometry of the Coastal Ocean
SU_8/2/2006_Davis.1 The Development of Imaging Spectrometry of the Coastal Ocean Curtiss O. Davis College of Oceanic and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331 cdavis@coas.oregonstate.edu
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
Jeffrey H. Bowles, Wesley J. Moses, Gia M. Lamela, Richard Mied, Karen W. Patterson, and Ellen J. Wagner
1 Jeffrey H. Bowles, Wesley J. Moses, Gia M. Lamela, Richard Mied, Karen W. Patterson, and Ellen J. Wagner and, Washington, D.C. from Center for Advanced Land Management Information Technologies (CALMIT),
NRL SSC HICO Article for Oceans 09 Conference
NRL SSC HICO Article for Oceans 09 Conference Title: The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview Abstract M.D. Lewis, R.W. Gould, Jr., R.A. Arnone, P.E. Lyon,
Airborne Hyperspectral Remote Sensing
Airborne Hyperspectral Remote Sensing Curtiss O. Davis Code 7212 Naval Research Laboratory 4555 Overlook Ave. S.W. Washington, D.C. 20375 phone (202) 767-9296 fax (202) 404-8894 email: davis@rsd.nrl.navy.mil
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
Hyperspectral Imaging of the Coastal Ocean
Hyperspectral Imaging of the Coastal Ocean Curtiss O. Davis College of Oceanic and Atmospheric Sciences, 04 COAS Admin, Bldg., Corvallis, OR 9733 phone: (54) 737-5707 fax: (54) 737-2064 email: cdavis@coas.oregonstate.edu
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
Light penetration within a clear water body. E z = E 0 e -kz
THE BLUE PLANET 1 2 Light penetration within a clear water body E z = E 0 e -kz 3 4 5 Pure Seawater Phytoplankton b w 10-2 m -1 b w 10-2 m -1 b w, Morel (1974) a w, Pope and Fry (1997) b chl,loisel and
Remote Sensing Mapping of Turbidity in the Upper San Francisco Estuary. Francine Mejia, Geography 342
Remote Sensing Mapping of Turbidity in the Upper San Francisco Estuary Francine Mejia, Geography 342 Introduction The sensitivity of reflectance to sediment, chlorophyll a, and colored DOM (CDOM) in the
Light penetration within a clear water body. E z = E 0 e -kz
THE BLUE PLANET 1 2 Light penetration within a clear water body E z = E 0 e -kz 3 4 5 6 Pure Seawater Phytoplankton b w 10-2 m -1 b w 10-2 m -1 b w, Morel (1974) a w, Pope and Fry (1997) b chl,loisel and
Wesley J. Moses., Washington, D.C., USA.
Wesley J. Moses, Washington, D.C., USA. Sensor Characteristics 2 Spatial Resolution Spectral Resolution Signal-to-Noise Ratio Temporal Resolution Spatial Resolution 3 What is the dominant spatial scale
REVIEW OF ENMAP SCIENTIFIC POTENTIAL AND PREPARATION PHASE
REVIEW OF ENMAP SCIENTIFIC POTENTIAL AND PREPARATION PHASE H. Kaufmann 1, K. Segl 1, L. Guanter 1, S. Chabrillat 1, S. Hofer 2, H. Bach 3, P. Hostert 4, A. Mueller 5, and C. Chlebek 6 1 Helmholtz Centre
HYPERSPECTRAL IMAGERY FOR SAFEGUARDS APPLICATIONS. International Atomic Energy Agency, Vienna, Austria
HYPERSPECTRAL IMAGERY FOR SAFEGUARDS APPLICATIONS G. A. Borstad 1, Leslie N. Brown 1, Q.S. Bob Truong 2, R. Kelley, 3 G. Healey, 3 J.-P. Paquette, 3 K. Staenz 4, and R. Neville 4 1 Borstad Associates Ltd.,
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.
GOCI Status and Cooperation with CoastColour Project
GOCI Status and Cooperation with CoastColour Project Joo-Hyung RYU Contribution from : KOSC colleaques Nov. 17, 2010 World 1 st GOCI/COMS Launch Campaign Launch Date : June 27 2010 Launch Vehicle : Ariane-V
ISIS TC Meeting. International Spaceborne Imaging Spectroscopy (ISIS) GRSS Technical Committee Meeting, 16/07/2014, IGARSS 2014
ISIS TC Meeting International Spaceborne Imaging Spectroscopy (ISIS) GRSS Technical Committee Meeting, 16/07/2014, IGARSS 2014 Andreas Müller (DLR) Cindy Ong (CSIRO) Uta Heiden (DLR) Agenda Hyperspectral
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
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
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,
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
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
Coastal Benthic Optical Properties Fluorescence Imaging Laser Line Scan Sensor
Coastal Benthic Optical Properties Fluorescence Imaging Laser Line Scan Sensor Dr. Michael P. Strand Naval Surface Warfare Center Coastal Systems Station, Code R22 6703 West Highway 98, Panama City, FL
MERIS instrument. Muriel Simon, Serco c/o ESA
MERIS instrument Muriel Simon, Serco c/o ESA Workshop on Sustainable Development in Mountain Areas of Andean Countries Mendoza, Argentina, 26-30 November 2007 ENVISAT MISSION 2 Mission Chlorophyll case
IDENTIFICATION AND MAPPING OF HAWAIIAN CORAL REEFS USING HYPERSPECTRAL REMOTE SENSING
IDENTIFICATION AND MAPPING OF HAWAIIAN CORAL REEFS USING HYPERSPECTRAL REMOTE SENSING Jessica Frances N. Ayau College of Education University of Hawai i at Mānoa Honolulu, HI 96822 ABSTRACT Coral reefs
Coastal Benthic Optical Properties Fluorescence Imaging Laser Line Scan Sensor
Coastal Benthic Optical Properties Fluorescence Imaging Laser Line Scan Sensor Dr. Michael P. Strand Naval Surface Warfare Center Coastal Systems Station, Code R22 6703 West Highway 98, Panama City, FL
6th Beirut Water Week 27th February - 1st March 2017
Assessment of chlorophyll-a concentration using Landsat Operational Land Imager in Lake Qaraoun, Lebanon Ali Fadel 6th Beirut Water Week 27th February - 1st March 2017 Introduction & problematic Worldwide
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
DEVELOPING AN OCEAN COLOUR SERVICE SUPPORTING GLOBAL CARBON-CYCLE RESEARCH AND OPERATIONAL OCEANOGRAPHY
DEVELOPING AN OCEAN COLOUR SERVICE SUPPORTING GLOBAL CARBON-CYCLE RESEARCH AND OPERATIONAL OCEANOGRAPHY Odile Fanton d'andon 1, Samantha Lavender 2, Antoine Mangin 1 and Simon Pinnock 3 (1) ACRI-ST, France
USGS Welcome. 38 th CEOS Working Group on Calibration and Validation Plenary (WGCV-38)
Landsat 5 USGS Welcome Prepared for 38 th CEOS Working Group on Calibration and Validation Plenary (WGCV-38) Presenter Tom Cecere International Liaison USGS Land Remote Sensing Program Elephant Butte Reservoir
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
The mission concept includes eight visible-to-near-infrared bands,, and a centered at Korea.
eostationary cean olor mager : ommunication cean and eteorological atellite It shall be operated in a mode onboard its COMS. The mission concept includes eight visible-to-near-infrared bands,, and a centered
Coastal Waters Imaging and Proposed Next Steps
SU_2/20/2006_Davis.1 Coastal Waters Imaging and Proposed Next Steps Curtiss O. Davis College of Oceanic and Atmospheric Sciences Oregon State University, Corvallis, Oregon 97331 541-737-4432 cdavis@coas.oregonstate.edu
Reprint (R43) Polarmetric and Hyperspectral Imaging for Detection of Camouflaged Objects. Gooch & Housego. June 2009
Reprint (R43) Polarmetric and Hyperspectral Imaging for Detection of Camouflaged Objects Gooch & Housego June 2009 Gooch & Housego 4632 36 th Street, Orlando, FL 32811 Tel: 1 407 422 3171 Fax: 1 407 648
DISTRIBUTION STATEMENT A Approved for Public Release Distribution Unlimited. High Altitude Hyperspectral Imaging Spectroscopy
DISTRIBUTION STATEMENT A Approved for Public Release Distribution Unlimited High Altitude Hyperspectral Imaging Spectroscopy W. Paul Bissett Florida Environmental Research Institute 4807 Bayshore Blvd.
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)
NASA OBPG Satellite Ocean Color Update
NASA OBPG Satellite Ocean Color Update Bryan Franz and the Ocean Biology Processing Group NASA Goddard Space Flight Center IOCS Meeting Ocean Color Research Team Meeting 18 May 2017, Lisbon, Portugal NASA
Hyperspectral Imager for Coastal Ocean (HICO)
Hyperspectral Imager for Coastal Ocean (HICO) Detlev Even 733 Bishop Street, Suite 2800 phone: (808) 441-3610 fax: (808) 441-3601 email: detlev@nova-sol.com Arleen Velasco 15150 Avenue of Science phone:
Our Quality Promise WHITE PAPER
Our Quality Promise www.digitalglobe.com Corporate (U.S.) +1.303.684.4561 or +1.800.496.1225 London +44.20.8899.6801 Singapore +65.6389.4851 To ensure your success, we put quality at our core At DigitalGlobe,
ACOLITE FOR SENTINEL-2: AQUATIC APPLICATIONS OF MSI IMAGERY
ACOLITE FOR SENTINEL-2: AQUATIC APPLICATIONS OF MSI IMAGERY Quinten Vanhellemont (1) and Kevin Ruddick (1) (1) Royal Belgian Institute for Natural Sciences, Operational Directorate Natural Environment,
Multispectral Scanners for Wildland Fire Assessment NASA Ames Research Center Earth Science Division. Bruce Coffland U.C.
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
Multiplatform Remote Sensing for Coral Reef Community Assessment
Multiplatform Remote Sensing for Coral Reef Community Assessment Quinta Reunión Nacional de Percepción Remota y Sistemas de Información Geográfica en Puerto Rico September 27, 2007 Roy A. Armstrong, Ph.
Hyperspectral Sensor
Hyperspectral Sensor Detlev Even 733 Bishop Street, Suite 2800 Honolulu, HI 96813 phone: (808) 441-3610 fax: (808) 441-3601 email: detlev@nova-sol.com Arleen Velasco 15150 Avenue of Science San Diego,
Application of Satellite Image Processing to Earth Resistivity Map
Application of Satellite Image Processing to Earth Resistivity Map KWANCHAI NORSANGSRI and THANATCHAI KULWORAWANICHPONG Power System Research Unit School of Electrical Engineering Suranaree University
Basic Hyperspectral Analysis Tutorial
Basic Hyperspectral Analysis Tutorial This tutorial introduces you to visualization and interactive analysis tools for working with hyperspectral data. In this tutorial, you will: Analyze spectral profiles
Bringing Hyperspectral Imaging Into the Mainstream
Bringing Hyperspectral Imaging Into the Mainstream Rich Zacaroli Product Line Manager, Commercial Hyperspectral Products Corning August 2018 Founded: 1851 Headquarters: Corning, New York Employees: ~46,000
Hyperspectral Imaging of River Systems
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Hyperspectral Imaging of River Systems Curtiss O. Davis College of Oceanic and Atmospheric Sciences 104 COAS Admin, Bldg
Sea to Sky: The NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission
Sea to Sky: The NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission Jeremy Werdell PACE Project Scientist NASA Goddard Space Flight Center Robert H. Goddard Memorial Symposium 9 March 2017, Greenbelt,
Relationship Between Landsat 8 Spectral Reflectance and Chlorophyll-a in Grand Lake, Oklahoma
Relationship Between Landsat 8 Spectral Reflectance and Chlorophyll-a in Grand Lake, Oklahoma Presented by: Abu Mansaray Research Team Dr. Andrew Dzialowski (PI), Oklahoma State University Dr. Scott Stoodley
Hyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances
Hyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances Arnold Kravitz 8/3/2018 Patent Pending US/62544811 1 HSI and
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
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.
Innovative 3D Visualization of Electro-optic Data for MCM
Innovative 3D Visualization of Electro-optic Data for MCM James C. Luby, Ph.D., Applied Physics Laboratory University of Washington 1013 NE 40 th Street Seattle, Washington 98105-6698 Telephone: 206-543-6854
Spotlight on Hyperspectral
Spotlight on Hyperspectral From analyzing eelgrass beds in the Pacific Northwest to identifying pathfinder minerals for geological exploration, hyperspectral imagery and analysis is proving its worth for
DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, Ray Perkins, Teledyne Brown Engineering
DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, 2016 Ray Perkins, Teledyne Brown Engineering 1 Presentation Agenda Imaging Spectroscopy Applications of DESIS
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
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
INNOVATIVE SPECTRAL IMAGING
INNOVATIVE SPECTRAL IMAGING food inspection precision agriculture remote sensing defense & reconnaissance advanced machine vision product overview INNOVATIVE SPECTRAL IMAGING Innovative diffractive optics
Using multi-angle WorldView-2 imagery to determine ocean depth near the island of Oahu, Hawaii
Using multi-angle WorldView-2 imagery to determine ocean depth near the island of Oahu, Hawaii Krista R. Lee*, Richard C. Olsen, Fred A. Kruse Department of Physics and Remote Sensing Center Naval Postgraduate
Neural Network-Based Hyperspectral Algorithms
Neural Network-Based Hyperspectral Algorithms Walter F. Smith, Jr. and Juanita Sandidge Naval Research Laboratory Code 7340, Bldg 1105 Stennis Space Center, MS Phone (228) 688-5446 fax (228) 688-4149 email;
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
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
Background Adaptive Band Selection in a Fixed Filter System
Background Adaptive Band Selection in a Fixed Filter System Frank J. Crosby, Harold Suiter Naval Surface Warfare Center, Coastal Systems Station, Panama City, FL 32407 ABSTRACT An automated band selection
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
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!
Present and future of marine production in Boka Kotorska
Present and future of marine production in Boka Kotorska First results from satellite remote sensing for the breeding areas of filter feeders in the Bay of Kotor INTRODUCTION Environmental monitoring is
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
Marine Sensor/Autonomous Underwater Vehicle Integration Project
Marine Sensor/Autonomous Underwater Vehicle Integration Project Dr. Thomas L. Hopkins Department of Marine Science University of South Florida St. Petersburg, FL 33701-5016 phone: (727) 553-1501 fax: (727)
Comparing of Landsat 8 and Sentinel 2A using Water Extraction Indexes over Volta River
Journal of Geography and Geology; Vol. 10, No. 1; 2018 ISSN 1916-9779 E-ISSN 1916-9787 Published by Canadian Center of Science and Education Comparing of Landsat 8 and Sentinel 2A using Water Extraction
Jasmine Surya Nahorniak (nee Bartlett)
Jasmine Surya Nahorniak (nee Bartlett) Senior Faculty Research Assistant College of Oceanic and Atmospheric Sciences Oregon State University Corvallis, OR 97331 PH: (541) 737 3022 Education 1996 M.S. (oceanography)
SHALOM: SPACEBORNE HYPERSPECTRAL APPLICATIVE LAND AND OCEAN MISSION: A JOINT PROJECT OF ASI-ISA AN UPDTAE FOR 2014
SHALOM: SPACEBORNE HYPERSPECTRAL APPLICATIVE LAND AND OCEAN MISSION: A JOINT PROJECT OF ASI-ISA AN UPDTAE FOR 2014 Eyal Ben Dor Tel Aviv University Avia Kafri Israel Space Agency (ISA) Giancarlo Varacalli
Geometric Validation of Hyperion Data at Coleambally Irrigation Area
Geometric Validation of Hyperion Data at Coleambally Irrigation Area Tim McVicar, Tom Van Niel, David Jupp CSIRO, Australia Jay Pearlman, and Pamela Barry TRW, USA Background RICE SOYBEANS The Coleambally
Diver-Operated Instruments for In-Situ Measurement of Optical Properties
Diver-Operated Instruments for In-Situ Measurement of Optical Properties Charles Mazel Physical Sciences Inc. 20 New England Business Center Andover, MA 01810 Phone: (978) 983-2217 Fax: (978) 689-3232
DEFENSE APPLICATIONS IN HYPERSPECTRAL REMOTE SENSING
DEFENSE APPLICATIONS IN HYPERSPECTRAL REMOTE SENSING James M. Bishop School of Ocean and Earth Science and Technology University of Hawai i at Mānoa Honolulu, HI 96822 INTRODUCTION This summer I worked
MULTI-TEMPORAL SATELLITE IMAGES WITH BATHYMETRY CORRECTION FOR MAPPING AND ASSESSING SEAGRASS BED CHANGES IN DONGSHA ATOLL
MULTI-TEMPORAL SATELLITE IMAGES WITH BATHYMETRY CORRECTION FOR MAPPING AND ASSESSING SEAGRASS BED CHANGES IN DONGSHA ATOLL Chih -Yuan Lin and Hsuan Ren Center for Space and Remote Sensing Research, National
CLOUD SCREENING METHOD FOR OCEAN COLOR OBSERVATION BASED ON THE SPECTRAL CONSISTENCY
CLOUD SCREENING METHOD FOR OCEAN COLOR OBSERVATION BASED ON THE SPECTRAL CONSISTENCY H. Fukushima a, K. Ogata a, M. Toratani a a School of High-technology for Human Welfare, Tokai University, Numazu, 410-0395
Radiometric Validation of Sentinel-3
Radiometric Validation of Sentinel-3 by Kevin Ruddick, Dimitry Van Der Zande and Quinten Vanhellemont (RBINS, ODNature, REMSEM) Sentinel-2 Radiometric Validation of Sentinel-3 by Kevin Ruddick, Dimitry
SEN3APP Stakeholder Workshop, Helsinki Yrjö Rauste/VTT Kaj Andersson/VTT Eija Parmes/VTT
Optical Products from Sentinel-2 and Suomi- NPP/VIIRS SEN3APP Stakeholder Workshop, Helsinki 19.11.2015 Yrjö Rauste/VTT Kaj Andersson/VTT Eija Parmes/VTT Structure of Presentation High-resolution data
Shallow Water Remote Sensing
Shallow Water Remote Sensing John Hedley, IOCCG Summer Class 2018 Overview - different methods and applications Physics-based model inversion methods High spatial resolution imagery and Sentinel-2 Bottom
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
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,
An NDVI image provides critical crop information that is not visible in an RGB or NIR image of the same scene. For example, plants may appear green
Normalized Difference Vegetation Index (NDVI) Spectral Band calculation that uses the visible (RGB) and near-infrared (NIR) bands of the electromagnetic spectrum NDVI= + An NDVI image provides critical
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
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
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
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,
HF Radar Measurements of Ocean Surface Currents and Winds
HF Radar Measurements of Ocean Surface Currents and Winds John F. Vesecky Electrical Engineering Department, University of California at Santa Cruz 221 Baskin Engineering, 1156 High Street, Santa Cruz
Lab 1 Introduction to ENVI
Remote sensing for agricultural applications: principles and methods (2013-2014) Instructor: Prof. Tao Cheng (tcheng@njau.edu.cn) Nanjing Agricultural University Lab 1 Introduction to ENVI April 1 st,
DIGITALGLOBE SATELLITE IMAGERY AND CLOUD SERVICES FOR SUGARCANE MAPPING
DIGITALGLOBE SATELLITE IMAGERY AND CLOUD SERVICES FOR SUGARCANE MAPPING PRESENTER: DILLON PANIZZOLO (TECHNICAL MANAGER) COMPANY: GEO DATA DESIGN DATE: 18 TH AUGUST 2015 SASTA Congress Sugar Cane Mapping
Study of Chlorophyll-a Distribution of Microalgae at Tasik Aman and Tasik Harapan in Penang Island Malaysia using Landsat Image
ISSN 2407-289 Study of Chlorophyll-a Distribution of Microalgae at Tasik Aman and Tasik Harapan in Penang Island Malaysia using Landsat Image a b c Fairooz Johan, Mohd Zubir Mat Jafri, Lim Hwee San,Wan
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
Vehicle tracking with multi-temporal hyperspectral imagery
Vehicle tracking with multi-temporal hyperspectral imagery John Kerekes *, Michael Muldowney, Kristin Strackerjan, Lon Smith, Brian Leahy Digital Imaging and Remote Sensing Laboratory Chester F. Carlson
WATER SERVICE - COASTAL PRODUCTS PRODUCT DESCRIPTION
WATER SERVICE - COASTAL PRODUCTS PRODUCT DESCRIPTION Delivery 30.01.2015 Kerstin Stelzer, Ana Ruescas, Uwe Lange - Brockmann Consult GmbH Overview The products within the water quality service provide
Application of Remote Sensing in the Monitoring of Marine pollution. By Atif Shahzad Institute of Environmental Studies University of Karachi
Application of Remote Sensing in the Monitoring of Marine pollution By Atif Shahzad Institute of Environmental Studies University of Karachi Remote Sensing "Remote sensing is the science (and to some extent,
Downloading and formatting remote sensing imagery using GLOVIS
Downloading and formatting remote sensing imagery using GLOVIS Students will become familiarized with the characteristics of LandSat, Aerial Photos, and ASTER medium resolution imagery through the USGS
Spatial-Spectral Target Detection. Table 1: Description of symmetric geometric targets
Experiment Spatial-Spectral Target Detection Investigator: Jason Kaufman Support Crew: TBD Short Title: Objectives: Spatial-Spectral Target Detection The aim of this experiment is to detect and distinguish
Survey of a World War II Derelict Minefield with the Fluorescence Imaging Laser Line Scan Sensor
Survey of a World War II Derelict Minefield with the Fluorescence Imaging Laser Line Scan Sensor Dr. Michael P. Strand Naval Surface Warfare Center Coastal Systems Station, Code R22 6703 West Highway 98