Images and Cartographic Products to Support Lunar Simulations, Training, and Landing Brent A. Archinal U.S. Geological Survey Flagstaff, AZ Go for Lunar.

Slides:



Advertisements
Similar presentations
+ Craters in Younger Lunar Mare Units Seen in LROC NAC Images Hallie Gengl Mark Robinson Ernest Bowan-Ciscneros Reinhold Povilaitis Space Grant Symposium.
Advertisements

Modern Exploration Global Surveyor.  Objectives:  High resolution imaging of the surface  Study the topography and gravity  Study the role of water.
The Lunar Reconnaissance Orbiter NASA’s Next First Step To The Moon Noah E. Petro NASA Goddard Space Flight Center May 12 th, 2009.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
High-Resolution Maps of Outlet Glacier Surface Elevation Change from Combined Laser Altimeter and Digital Elevation Model Data (ID # ) Joanna Fredenslund.
Spencer Anderson Brent Fogleman Daryl Vonhagel.  Objectives:  C-band (w = 3.8 – 7.5 cm) & X-band (w = 2.4 – 3.8 cm) IFSAR to acquire topographic data.
Digital Elevation Models GLY 560: GIS and Remote Sensing for Earth Scientists Class Home Page:
The Lunar Reconnaissance Orbiter (LRO) is the first mission in NASA's Vision for Space Exploration, a plan to return to the moon and then to travel to.
School of Earth and Space Exploration Existing Lunar Datasets M. S. Robinson School of Earth and Space Exploration Arizona State University.
Lunar Reconnaissance Orbiter Camera (LROC) Lunar and Planetary Science Conference LRO Overview Session March 13, 2008 Multispectral Mapping Surface Operations.
National Aeronautics and Space Administration Lunar Mapping and Modeling Project Summary and Status Go for Lunar Landing Conference Tempe,
Autonomous Landing Hazard Avoidance Technology (ALHAT) Page 1 March 2008 Go for Lunar Landing Real-Time Imaging Technology for the Return to the Moon Dr.
Week 10. GIS Data structure II
An Evaluation of Interpolation Methods for MOLA Data Oleg Abramov and Alfred McEwen: Department of Planetary Sciences, University of Arizona INTRODUCTION.
Progress Report on separating topographical and compositional information in the Clementine UVVIS data Paul Withers 22 April 1999 Remote Sensing of Planetary.
GIS Tutorial 1 Lecture 6 Digitizing.
Airborne LIDAR The Technology Slides adapted from a talk given by Mike Renslow - Spencer B. Gross, Inc. Frank L.Scarpace Professor Environmental Remote.
From Topographic Maps to Digital Elevation Models Daniel Sheehan IS&T Academic Computing Anne Graham MIT Libraries.
Carolyn J. Merry NCRST-Flows The Ohio State University.
UNDERSTANDING LIDAR LIGHT DETECTION AND RANGING LIDAR is a remote sensing technique that can measure the distance to objects on and above the ground surface.
March 2010 PDS Imaging Node 1 NASA PDS Imaging Node: NASA PDS Imaging Node: Digital Data Archives and Distribution Archiving and distributing data and.
9 th Small Bodies Assessment Group 11 July 2013 USGS - An Update on Integrated Software for Imagers and Spectrometers (ISIS) as it Applies to Small Bodies.
S D Laser Scanning of Acropolis of ATHENS. 3D scanning of the Wall and the Rock of Acropolis Athens and 3D model creation.
Solar System Physics Group Open Day Manuel Grande Aberystwyth in Space – the Moon ExoMars Chandrayaan STEREO Bepi VEX Solar B SDO LoFAR IHY.
Intelligent Robotics Group NASA Ames Research Center Intelligent Robotics Group NASA Ames Research Center Planning for the Mapping and Exploration of Human.
Polar Topographic Knowledge Prior to LCROSS Impact David E. Smith 1, Maria T. Zuber 2 1 NASA/Goddard Space Flight Center 2 Massachusetts Institute of Technology.
GTOPO30 Global 30-arc-second (1-km) elevation model - “Best available” global DEM - Initial release: March Widely used for climate modeling, land.
Orthorectification using
1 Lunar Reconnaissance Orbiter (LRO) Overview 4/13/2005 Craig Tooley.
NASA/NSTA Web Seminar: Lunar Exploration: Mapping the Moon LIVE INTERACTIVE YOUR DESKTOP.
LiDAR Contour Options Randy Mayden, VP Business Development
Orbital Data Explorer Overview PDS Geosciences March 29 th, 2007 Keith Bennett.
MARS GLOBAL SURVEYOR ASIA TOOKE AND AVERY MORGAN.
USGS DIGITAL TERRAIN MODELS AND MOSAICS FOR LMMP M. R. Rosiek, E. M. Lee, E. T. Howington-Kraus, R. L. Fergason, L. A. Weller, D. M. Galuszka, B. L. Redding,
Lunar Reconnaissance Orbiter Camera (LROC) Mark Robinson, PI Arizona State University School of Earth and Space Exploration Resource Mapping Surface Operations.
Mapping the Moon: Simulating LOLA in the Classroom Introduction to LIDAR Mapping with LOLA. National Aeronautics and Space Administration
USA Select Briefing to The Federal Geographic Data Committee November 6, 2001 Glenn Geoghegan SPOT Image Corporation Reston, VA
Task B-5: Lunar Control Network Improvement USGS Astrogeology Team Brent Archinal Mark Rosiek Flagstaff AZ 26 August 2004.
Generation of a Digital Elevation Model using high resolution satellite images By Mr. Yottanut Paluang FoS: RS&GIS.
U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:
Task B-4: Planetary Geodesy USGS Astrogeology Program Presentation to Planetary Cartography and Geologic Mapping Working Group by Brent Archinal USGS Astrogeology.
Lava Flows of Arsia Mons, Mars Ruben Rivas College of Engineering University of Arizona (Tucson, Az) Space Grant Mentor: David Crown Planetary Science.
12/12/20071 Digital Resource Acquisition John Mootz, APFO Charlotte Vanderbilt, APFO.
Interlude  Viking mission operations ended in the early 1980s  Viking missions gave scientists the most complete picture of Mars to date. What does this.
Age Estimation on Mars: Using Digital Surveying of Impact Craters
Goldstone Radar Support for LCROSS Evaluation of Impact Sites Martin Slade October 16, 2006 National Aeronautics and Space Administration Jet Propulsion.
LRO SRR LRO Mission Overview.
SHOEMAKER CRATER – GOING WHERE WE CAN “SEE” Carlton Allen NASA JSC.
SGM as an Affordable Alternative to LiDAR
Investigating the Moon with the Lunar Mapping and Modeling Portal.
C.M. Rodrigue, 2016 Geography, CSULB Mars: History of Exploration IV Geography 441/541 S/16 Dr. Christine M. Rodrigue.
Modern Exploration Mars Global Surveyor  “The mission will provide a global portrait of Mars as it exists today…This new view will help planetary scientists.
NASA’s Goddard Space Flight Center LRO SRR LRO Mission Level 1 Requirements.
U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:
Contour Mapping from LiDAR Presented by: Dave Bullington Surdex Corporation St. Louis, MO
Integrated spatial data LIDAR Mapping for Coastal Monitoring Dr Alison Matthews Geomatics Manager Environment Agency Geomatics Group.
Satellite Image Pixel Size vs Mapping Scale
Ice At the Moon - How the Moon Mineralogy Mapper on Chandrayaan-1 Will Help Noah E. Petro NASA Goddard Space Flight Center March 4 th, 2009.
Satellite Image Pixel Size vs Mapping Scale
The Lunar Reconnaissance Orbiter
What Made the Doughnuts Inside Lunar Concentric Craters?
Digital Elevation Models (DEM) Digital Terrain Models (DTM) / Digital Surface Models (DSM) Brief Review Applications in image processing: Inclusion in.
Toru Kouyama Supported by SELENE/SP Team HISUI calibration WG
Lunar Reconnaissance Orbiter Camera
Lunar reflectance model based on SELENE/SP data
Warm-up slide Jan : end of The World: Dubai island development sinks back into sea - financial crisis.
IKONOS ~Derived from the Greek term eikōn, meaning image~
NASA Satellite Laser Ranging Moblas 4 Monument Peak, CA LRO and HPWREN Scott Wetzel NASA Satellite Laser Ranging Program Near Earth Networks Programs.
Lunar Reconnaissance Orbiter (LRO)
APOLLO SCENE SETTING.
Presentation transcript:

Images and Cartographic Products to Support Lunar Simulations, Training, and Landing Brent A. Archinal U.S. Geological Survey Flagstaff, AZ Go for Lunar Landing: From Terminal Decent to Touchdown Fiesta Inn Resort, Tempe, AZ 2008 March 4-5 Brent A. Archinal U.S. Geological Survey Flagstaff, AZ Go for Lunar Landing: From Terminal Decent to Touchdown Fiesta Inn Resort, Tempe, AZ 2008 March 4-5

Overview Using imagery and altimetry to create mosaics and topographic models (DEMs or DTMs), for planning, simulation, training, navigation, and operations FExisting and planned data sources <- Just covered by M. Robinson FMost important data sources FMapping product formats – then and now FUSGS landing site mapping examples FApollo 15 site mapping examples FPossible products for Constellation use Using imagery and altimetry to create mosaics and topographic models (DEMs or DTMs), for planning, simulation, training, navigation, and operations FExisting and planned data sources <- Just covered by M. Robinson FMost important data sources FMapping product formats – then and now FUSGS landing site mapping examples FApollo 15 site mapping examples FPossible products for Constellation use

Data Sources – Planned (most important) imagery, altimetry FAltimetry FFrom all upcoming missions (LRO LOLA, Kaguya (SELENE), Chandrayaan-1, Chang’E-1) FLOLA provides highest accuracy (1 m vertical, ~50 m horizontal) and coverage (5 spot pattern) FAll mission data needed for densification FImagery, global FLRO WAC (~70 m resolution, multispectral), M. Robinson presentation FM3 (~100 m, hyperspectral) FImagery, high resolution and stereo FApollo stereo, 16% of Moon (1-15 m res) FLRO NAC (0.5-2 m resolution), stereo on many important sites FChandrayaan-1 (5 m resolution), global stereo, 15 m post spacing FKaguya (10 m resolution), global stereo, 30 m post spacing FGeodetically controlled data required FTied to lunar laser ranging network, with LOLA as base FAll other datasets (past, present, future) need registered to this FAltimetry FFrom all upcoming missions (LRO LOLA, Kaguya (SELENE), Chandrayaan-1, Chang’E-1) FLOLA provides highest accuracy (1 m vertical, ~50 m horizontal) and coverage (5 spot pattern) FAll mission data needed for densification FImagery, global FLRO WAC (~70 m resolution, multispectral), M. Robinson presentation FM3 (~100 m, hyperspectral) FImagery, high resolution and stereo FApollo stereo, 16% of Moon (1-15 m res) FLRO NAC (0.5-2 m resolution), stereo on many important sites FChandrayaan-1 (5 m resolution), global stereo, 15 m post spacing FKaguya (10 m resolution), global stereo, 30 m post spacing FGeodetically controlled data required FTied to lunar laser ranging network, with LOLA as base FAll other datasets (past, present, future) need registered to this LOLA 1 month polar coverage LOLA Spot Pattern LOLA Spot Pattern LRO NAC 1 & 2 LRO WAC LRO WAC Apollo 15 Panoramic Camera image 1 meter resolution (Numerous boulders visible) Apollo 15 Panoramic Camera image 1 meter resolution (Numerous boulders visible)

Mapping Products – Then FPaper LO and Apollo “image maps” and topographic (contour) maps. FBy USGS and DMA FSee e.g. LPI site: ources/ ources/ FStill best data in many areas FPaper LO and Apollo “image maps” and topographic (contour) maps. FBy USGS and DMA FSee e.g. LPI site: ources/ ources/ FStill best data in many areas USGS LO map, used for A17 LRV fender repair LO map of Apollo 15 site, with annotation

Mapping Products, Now – for simulations, training, and landing FDigital products – DEMs (or DTMs) FLend themselves to creating simulations for planning and training FAlso for display and terrain matching navigation during landing and surface operations FIllumination possible from any direction FGlobal and Landing site mapping FGIS systems used for data comparison FDigital products – DEMs (or DTMs) FLend themselves to creating simulations for planning and training FAlso for display and terrain matching navigation during landing and surface operations FIllumination possible from any direction FGlobal and Landing site mapping FGIS systems used for data comparison Examples from USGS “PIGWAD” Planetary Mapping site (

Current Landing Site Mapping Examples - USGS Using commercial photogrammetric workstation and software and USGS ISIS planetary mapping software Recent experience from many missions, including: FMars Landing site mapping from MGS MOC 1.5 to 6 m resolution), MRO HiRISE (30 cm resolution) (A. McEwen, PI), soon CTX (8 m resolution). FTitan surface mapping from Huygens DISR imaging FLunar landing site mapping from Lunar Orbiter, Apollo Metric, and Apollo Panoramic cameras (10 m post spacing, ~3 m possible) (next slides) Via stereo (see M. Broxton presentation) with photoclinometry (shape from shading) for single pixel DEMs – similar to A. McEwen “photometric stereo” Manual editing and QC absolutely essential for mission success compared to fully automatic techniques Using commercial photogrammetric workstation and software and USGS ISIS planetary mapping software Recent experience from many missions, including: FMars Landing site mapping from MGS MOC 1.5 to 6 m resolution), MRO HiRISE (30 cm resolution) (A. McEwen, PI), soon CTX (8 m resolution). FTitan surface mapping from Huygens DISR imaging FLunar landing site mapping from Lunar Orbiter, Apollo Metric, and Apollo Panoramic cameras (10 m post spacing, ~3 m possible) (next slides) Via stereo (see M. Broxton presentation) with photoclinometry (shape from shading) for single pixel DEMs – similar to A. McEwen “photometric stereo” Manual editing and QC absolutely essential for mission success compared to fully automatic techniques USGS Digital Photogrammetric Workstation running Leica SOCET SET USGS Digital Photogrammetric Workstation running Leica SOCET SET Model of ~1 km Victoria Crater on Mars Opportunity Rover From ~30 cm resolution HiRISE stereo images From ~30 cm resolution HiRISE stereo images Model of ~3 km area of surface of Titan

Apollo 15 Site Mapping - Example FLunar Orbiter FApollo Metric Camera FApollo Panoramic camera FLunar Orbiter FApollo Metric Camera FApollo Panoramic camera FUSGS mapped Apollo 15 landing site with scanned Apollo Pan, LO IV global HR, LO V site MR images FFrom 2 to 30 m/pixel FGood sub pixel matching except in shadows, bland areas at highest resolution FNo “cliffs” in LO models but other distortions found F10s % of Moon could be mapped now with 10 to 150 m post spacing FUSGS mapped Apollo 15 landing site with scanned Apollo Pan, LO IV global HR, LO V site MR images FFrom 2 to 30 m/pixel FGood sub pixel matching except in shadows, bland areas at highest resolution FNo “cliffs” in LO models but other distortions found F10s % of Moon could be mapped now with 10 to 150 m post spacing

Apollo 15 Site – Simulation Example Ground truth Mosaic of Apollo 15 photos by David Scott from surface Ground truth Mosaic of Apollo 15 photos by David Scott from surface Simulation from Apollo 15 stereo Pan images 10 m post spacing, 2 m resolution Simulation from Apollo 15 stereo Pan images 10 m post spacing, 2 m resolution

Possible Products For Constellation Use FUse merged altimeter datasets for global DEM FGlobal reference frame FDense coverage FHigh resolution polar coverage FUse global stereo for densifying global DEM FApollo FChandrayaan-1 or Kaguya FLanding site mapping FLROC NAC when available FApollo Panoramic FChandrayaan-1 FUse merged altimeter datasets for global DEM FGlobal reference frame FDense coverage FHigh resolution polar coverage FUse global stereo for densifying global DEM FApollo FChandrayaan-1 or Kaguya FLanding site mapping FLROC NAC when available FApollo Panoramic FChandrayaan-1 FPolar mapping / DEMs FMini-RF (LRO, Chandrayaan-1) for shadowed areas FProduct formats: FControlled global mosaics and DEMs for planning, simulation, terrain following navigation FControlled site mosaics and DEMs for landing and surface planning, simulation, and navigation FDigital products and some hardcopy products FPolar mapping / DEMs FMini-RF (LRO, Chandrayaan-1) for shadowed areas FProduct formats: FControlled global mosaics and DEMs for planning, simulation, terrain following navigation FControlled site mosaics and DEMs for landing and surface planning, simulation, and navigation FDigital products and some hardcopy products FKey is post mission processing and geodetic control (registration) of data FVia Lunar Mapping and Modeling Project? – See Ray French presentation FWhat products are really needed for Constellation? FProcessing beyond that likely needed as well, for resource location and science FKey is post mission processing and geodetic control (registration) of data FVia Lunar Mapping and Modeling Project? – See Ray French presentation FWhat products are really needed for Constellation? FProcessing beyond that likely needed as well, for resource location and science

Backup

Data Sources – Existing (important) imagery, altimetry FLunar Orbiter FStill best coverage for much of Moon FGlobal digital mosaic finally completed last month! FSome areas, 1 m resolution and stereo FApollo (see M. Robinson presentation) FA15-A17, covers ~16% of Moon FMetric camera gives 4 fold stereo, at 7-15 m resolution, 160 x 160 km FPanoramic camera gives stereo at 1-4 m resolution, 339 x 26 km FWill likely _not_ be superseded for some time FClementine FNear global coverage at ~ m resolution FMultispectral, but high sun angle, some stereo info FOnly existing altimetry but sparse (~70,000 points) FBasis for current Unified Lunar Control Network 2005 (~44,000 images, ~273,000 points & topography) FLunar Orbiter FStill best coverage for much of Moon FGlobal digital mosaic finally completed last month! FSome areas, 1 m resolution and stereo FApollo (see M. Robinson presentation) FA15-A17, covers ~16% of Moon FMetric camera gives 4 fold stereo, at 7-15 m resolution, 160 x 160 km FPanoramic camera gives stereo at 1-4 m resolution, 339 x 26 km FWill likely _not_ be superseded for some time FClementine FNear global coverage at ~ m resolution FMultispectral, but high sun angle, some stereo info FOnly existing altimetry but sparse (~70,000 points) FBasis for current Unified Lunar Control Network 2005 (~44,000 images, ~273,000 points & topography) Apollo 15 Panoramic image (A15 landing site) Clementine Global Basemap Mosaic Lunar Orbiter near side view Lunar Orbiter near side view