onshore remote sensing applications: an...
TRANSCRIPT
Onshore remote sensing applications: an overview
www.port.ac.uk/sees
Dr. Richard Teeuw and Dr. Malcolm Whitworth
School of Earth and Environmental Sciences, University of Portsmouth, UK.
Overview
� Presentation on the applications of earth observation data for onshore oil and gas applications:
• Current satellite systems and applications
• Moderate and high resolution systems
• Geological and geomorphological applications
www.port.ac.uk/sees
• Geological and geomorphological applications
• Opportunities from new earth observation platforms
• Geological and terrain evaluation
Established sensors and applications
� Access to data
• Free data sources (such as GLCF), low cost ASTER imagery.
• Online 2D and 3D spatial tools (Google Maps, Bing Maps and Flash Earth).
• Suitable for preliminary stages of exploration.
� Established sensors
www.port.ac.uk/sees
� Established sensors
• Spatial ranges: 90-100m / 15-30m / 0.5-5m
• Spectral ranges: Visible / NIR / SWIR / TIR / SAR
• Temporal ranges: monthly to daily
• DEM ranges: 90m / 30m / 5-1m
(visualisation and 3-D geological modelling)
Current optical satellites
� Moderate and high resolution optical sensors.
� Choice of satellites is a balance of spectral and spatial resolution.
www.port.ac.uk/sees
� All sensors provide imagery in the visible and near infrared.
� Moderate resolution sensors offer imagery acquired in the short ware infrared or thermal infrared.
� Many have DEM capabilities.
‘Silica’
‘Advanced Argillic’
‘Iron’ ‘Argillic / Phyllic’
‘Carbonate’
www.port.ac.uk/sees
Hydroxyl Minerals ‘Clay’‘Red Iron’‘Yellow Iron’
Courtesy of Dan Taranik / AngloAmerican
ASTER vs. Landsat for stratigraphic mapping
www.port.ac.uk/sees
Hyperspectral
Mineral mapping and lithological
discrimination
via airborne hyperspectral
sensors (eg AVIRIS
www.port.ac.uk/sees
sensors (eg AVIRIS
HyMap) – now well established
BUT still lacking satellite hyperspectral systems
(except Hyperion)
www.port.ac.uk/sees
www.port.ac.uk/sees
Geomorphological applications
www.port.ac.uk/seesNichol et al, 2006, Geomorphology
Terrain evaluation applications
� Role of optical remote sensing in the concept, design and operation stages of surface installations and pipelines.
www.port.ac.uk/sees
Improvements in scale of landforms visible from imagery
www.port.ac.uk/sees
Opportunities
www.port.ac.uk/sees
Recent developments in remote sensing
� Developments in remote sensing platforms include:
Developments Applications
Increased spatial resolution 1. Improved interpretation and classification of landforms.
2. Improved reliability in classification.
www.port.ac.uk/sees
2. Improved reliability in classification.
3. Increased image complexity.
Greater temporal resolution 1. Ability to monitor ground behaviour
2. Fewer gaps in data coverage.
High resolution topographic data 1. Geo and topographic correction.
2. Improved interpretation and classification of landforms.
3. Improved visualisations.
Recent developments in remote sensing
� Developments in remote sensing platforms include:
Developments Applications
Stereo capabilities 1. Stereo viewing capabilities for visualisation.
2. Improved surface mapping.
www.port.ac.uk/sees
InSAR constellations 1. Identification and measurement of ground movement.
Optical constellations 1. Regular repeat surveys.
2. Ground monitoring capabilities.
3. Environmental monitoring.
Recent developments in remote sensing
� Developments in remote sensing platforms include:
Developments Applications
Optical and DEM data acquisition
1. Three dimensional mapping capabilities
2. Surface monitoring possible in x, y and z.
www.port.ac.uk/sees
Hyperspectral imagery 1. Surface land cover mapping.2. Surface geological mapping. 3. Environmental applications (pollution).
Recent developments in remote sensing
� Developments in remote sensing platforms include:
Developments Applications
Low cost imagery 1. Initial terrain evaluation. 2. Optical data includes Landsat and ASTER. 3. DEM data includes SRTM and ASTER data.
www.port.ac.uk/sees
3. DEM data includes SRTM and ASTER data.4. Free Sentinel imagery
Online resources 1. Increased availability of spatial data.2. Portals such as Google Earth and FlashEarth.com.3. Improved desk top visualisations.4. Online access to Sentinel imagery.
Free regional mapping , via global DEMs (SRTM, ASTER G-DEM) & Google Earth
Commercial DEM dataImproved global DEM coverage,
www.port.ac.uk/sees
Improved global DEM coverage, with Tandem-X 12m grid data now
being compiled.
DEMs with 2m pixels & 1m contours available from WorldView
and GeoEye stereopairs
Online global data sources
www.port.ac.uk/sees
www.port.ac.uk/sees
www.port.ac.uk/sees
www.port.ac.uk/sees
Geological mapping applications
� Requirements from industry for surface mapping capabilities
• High resolution
• Hyperspectral band ranges
• Increased number/resolution thermal bands
• Success of the ASTER sensor
• Satellite constellations
www.port.ac.uk/sees
• Satellite constellations
Gravity: GRACE (NASA/DLR) and GOCE (ESA)
� Regional gravity-field data from these gravimeter satellites could lead to better modelling of rift systems and basins .
� Agreement for support through until 2015.
www.port.ac.uk/sees
Right: GRACE –monitoring of groundwater volumes in NE India, 2002-2008
Global digital elevation data
� TanDEM-X global Digital Elevation Model (DEM)
• 12 m DEM data (relative z accuracy = 2 m, absolute z accuracy = 10 m).
• Twin satellite system orbiting alongside TerraSAR-X for terrain data collection.
www.port.ac.uk/sees
Shaded relief
ASTER GDEM
Kyrgyzstan.
High resolution optical and DEM data
� Current and new satellites provide high resolution optical imagery and digital elevation data (DEM).
� Satellites such as Worldview and Geoeye provide high resolution DEM data and new satellites will continue this trend.
www.port.ac.uk/sees
High resolution optical and DEM data
� New opportunities for monitoring:
• Subsidence monitoring through DEM comparison.
• Surface displacement using image
www.port.ac.uk/sees
• Surface displacement using image matching applied to two sets of images from different dates.
• Change detection involves analysis of two or more image scenes from different dates.
• Hazard assessment and monitoring applications.
Image processing and geo-information developments
� Image complexity
• Increase in image resolution results in greater image complexity.
• Image segmentation, object based image analysis.
• Multivariate remote sensing approach using combination of different datasets (uncorrelated).
• Importance of spatial image analysis (texture).
www.port.ac.uk/sees
� DEM data analysis
• Morphomometric indices are
sensitive to data quality.
• Applications from basin scale
(for geological applications)
through to detailed site level
geomorphological applications.
• Anaglyph, stereogram and
three dimensional visualisations.
Summary table
www.port.ac.uk/sees
Thank you – any questions?
Dr. Malcolm [email protected]
Dr. Richard [email protected]
www.port.ac.uk/sees