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Remote Sensing Image Interpretation in Geological Works
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Transcript of Remote Sensing Image Interpretation in Geological Works
TWC Remote Sensing Image Interpretation in
Geological works
Xiaogang (Marshall) Ma
Tetherless World Constellation
Rensselaer Polytechnic Institute
Geo I course, 2013-11-14
TWC • Acknowledgements
– The majority of this lecture is from Dr. Tsehaie Woldai’s
lecture ‘Image Interpretation - Part 1’ in a course RS &
GIS for Earth Resources Exploration at ITC, Enschede,
The Netherlands, in 2009
2
TWC
1. Geological mapping, remote sensing data and
image interpretation
TWC
North Africa: Landsat MSS (b7,5,4)
Geological mapping is the starting point for all understanding of the earth's crust and hence for
all logically conceived programs of exploration for earth resources
Geological Mapping
Geologists follow paths of exploration and discovery in quest of solutions to some of society's most challenging problems.
4
TWC Printed maps and digital maps
日本語 / English English / Español / Português
TWC Geological map online services
OneGeology
• 116 nations participating by
middle 2010
• 50 of them providing
geodata services online
• Most data are in English
http://www.onegeology.org/portal
TWC • Use of Earth orbiting satellites to capture information about
the surface and atmosphere below
• Satellites vary depending on how much detail can be seen,
what parts of the electromagnetic spectrum are sensed
• Signals transmitted to Earth receiving stations where they
are transformed for dissemination as digital images
Courtesy: http://www.ncgia.ucsb.edu/giscc/units/u002/u002.html
Remote Sensing (RS)
TWC Two main types of RS
• Passive RS:
– detect natural radiation (e.g., sunlight) that is emitted or reflected
by the object or surrounding areas
• Active RS:
– emits energy (e.g., laser light) in order to scan objects and areas
whereupon a sensor then detects and measures the radiation that
is reflected or backscattered from the target
Images from:
http://www.rsgisrs.com/rs_types.htm
TWC A few RS systems
• Airphotos
• Airborne Multispectral/Hyperspectral Scanners
• Airborne Thermal Scanners
• Airborne Radar
• Satellite Photography
• Satellite Digital Imagery
• Side-Scan Sonar
• Laser Altimeters
TWC
Night lights of Australia as observed by the Visible Infrared Imaging Radiometer
Suite (VIIRS) on the Suomi NPP satellite in April and October 2012
TWC
More information: http://earthobservatory.nasa.gov/IOTD/view.php?id=80030&src=fb
Fires
TWC • Composition of earth materials
Detect, identify, measure geological features
• Dynamic processes in the Earth
Monitor and measure geodynamic processes
• Environmental impact
Identify, monitor and assess Rem
ote
S
en
sin
g
RS for geology -
What do geologists want to know?
12
TWC • RS A multifaceted TOOL for
geology
• Analysis of RS data for
Geological applications
– Measure physical characteristics
of geo-bodies
– Geological interpretation
Why the need for remote sensing
data?
13
TWC Why the need for remote sensing
data?
1. Synoptic View
2. Construct regional
geological maps, useful
for small scale analyses
3. Planning field traverses to
sample and verify various
units for detailed mapping
4. Understand the spatial
distribution and surface
relationships between the
units
5. Cost, time
A synoptic view of regional scale is a much different perspective than point ground observations when trying to map lithological or structural elements.
14
TWC
Landsat TM of the Bogda Shan Mts., Xinjiang Uugur Aut. Region, China
Broad Regional Coverage -
Synoptic View
15
TWC Analyzing Complex Areas -
Uniform Accuracy and Precision
Ophiolite
Assemblage
Metavolcano-Sedimentary
Assemblage
Granitoids
Gneissic Terrain
Gneissic Terrain
16
TWC
Digital Terrain Model ASTER data (b3n/3b)
Dataset in hand for Image
Interpretation
Perspective view 17
TWC Creation of DEM’s/Anaglyphs
Algeria Morocco Anaglyphs From: Drury, 2002
Dataset in hand for Image
Interpretation
18
TWC Possibility of
stereo viewing
Southern Image Northern Image
Stereo Pair - New York City USA
SPOT,
Radarsat,
etc.
19
TWC Geoscience knowledge management system
Needs of Geological Surveying Organizations
Priorities of Geological Surveys are changing -
away from publication of maps and related documents
towards maintaining a geoscience knowledge management system of reusable elements
from which users can obtain specific responses to meet their specific needs, with maps seen as illustrative
visualizations, not as end products
Text c. British Geological Survey 20
TWC Geological Survey organizations also cannot afford to send
their staff into the field indefinitely mainly because they
cannot afford it anymore
Hence there is a dire need for image interpretation prior to
fieldwork mapping to reduce cost, time and energy.
Geoscience knowledge management system
Needs of Geological Surveying Organizations
21
Text c. British Geological Survey
TWC Image interpretation can be defined as:
• The study of the imaged objects using the
image/photo interpretation criteria;
• The extraction of those features relevant to the object
of study;
• The analysis of the selected features with the
objective to come to a deduction of their significance
for the specific field of study.
Image interpretation - Definition
22
TWC
2. Principles and steps in RS image interpretation
TWC Knowledge-driven image interpretation -
Leading principles
Capitalizes on use of
available information
Employs qualitative &
quantitative interpretation
methods
Exploits image data from multiple
sensors for interpretation in a GIS
environment
Plays an important role
in fieldwork planning
Traverse 2004-
22
n
3
2
1
X.............
X
X
X
24
TWC What information can be obtained from
RS images
• Topographic pattern
• Drainage pattern
• Landform units
• Lithological/rocks units
• Geological structures
• Mineral deposits location
• Susceptible area for erosion, mass-movement,
earthquake, volcanic, etc.
TWC Geological RS image interpretation
• The aim is to obtain lithological, stratigraphy and
geological structure
• The status is not as an alternative of field geology;
fieldwork always carried out to check the result of
the image interpretation; the results of the image
interpretation are supposed similar with data from
other sources.
TWC Geological map resulting from RS
image interpretation
• Lithological units: may composed of single rock or group
of rocks
• Geologic structures indicators: dip slope, bedding plane
• Continue or discontinue of the bed layers
• Indicators of fault and unconformity
• Landform units
• Drainage pattern, can be used to identify the lithology and
structure
• Control point, important location, ground control
TWC How to upgrade the geoscience
knowledge base through the use of RS?
• How do we actually extract geological information from images?
• What are the criteria?
• Which methods can be employed?
• How can it support mapping?
• What are the success factors?
28
TWC Image characteristics for interpretation
purposes
• Tone
• Texture
• Pattern
• Shape/form
• Site
• Association
• Shadow
TWC How to interpret the lithology
• Lithological units are easily to identify from remote
sensing image (especially aerial photograph):
– Sandstone
– Shale stone
– Limestone
– A certain igneous and metamorphic rocks
– Unconsolidated material, such as: sand, gravel, clay
– Intercalation resistance and non resistance rocks
TWC Igneous rocks
• Based on mineral composition:
– Acidic: light photo tone
– Intermediate: light to medium photo tone
– Basic: dark to dark photo tone
• Extrusive rocks:
– Associate with volcanic landform
– Porosity and permeability: high
– External drainage
– Basic lava: shield volcano, joint are predominate
– Acidic lava: bocca, spatter cone, lava blister
– Intermediate lava: strato volcano
• 3.Intrusive rocks:
– Homogeny
– Topography hummocky (humid) and sharp (arid)
– Joint: frequent
– Drainage pattern with low density
TWC Metamorphic rock
• Massive topography, stratigraphy not clearly appear
• Permeability is low; drainage density high to medium;
drainage pattern: dendritic, trellis or parallel.
• Quartzite: resistant, massive topography, low
permeability, dendritic, trellis; gray photo tone
• Marble: in arid and semi arid resistant, in humid similar to
limestone
• Slates: low resistant, high drainage density, dendritic; dark
to medium gray
• Gneiss: resistant, massive topography, low permeability,
dendritic, trellis; gray photo tone
TWC Geological structure
• FLAT-LAYING BEDS:
– Contrasting tone of different sedimentary rocks
– Break of slope along the contour
– Dendritic drainage pattern
• DIPPING BEDS (FOLDS)
– Topographic surfaces coincide with bedding surface
– Asymmetrical slope can be used to determine the direction of the
dip
– Pattern of outcrop on valley can be used to determine the direction
of the dip
– Major stream usually flow parallel to the strike of the stratified beds.
TWC – Linear features/lineaments, thin rather than short, in regular
direction
– Intersecting joint approximately at right angles (vertically, dipping)
give a blocky pattern of the topography.
– In fine grained clastic rocks joint are generally more closely spaced
• FAULTS
– Linear features/lineament
– Triangle facet
– Alignment of vegetation, straight of river/stream segment,
alignment of lakes, ponds and springs
– Changes of tone, drainage and erosional features on opposite of
linear features
– Alignment of topography
TWC
Let’s take
the Doon Valley (Dehradun Area), India
as an example
TWC
Dehradun
LOCATION
TWC Let’s first review a slide from the lecture ‘Crustal
Deformation & Mountain Building (Orogenesis)’
TWC Plate tectonics:
Continent - Continent
extent, deformation from collision
38
TWC Geology of the Doon Valley –
India collision with Asia
• During the Early Cretaceous (100 to 150 million years ago),
India broke away from Gondwana and began drifting North
– Oceanic lithosphere was consumed at a subduction zone along the
southern margin of Asia
• About 40 to 50 million years ago, India collided with Asia
– But because India was too light to subduct, it thrust under Asia
TWC
Convergent Boundary Continent - Continent
Model for India and Asia Collision
40
TWC Continued Convergence
41
TWC The Doon Valley Geology
42
TWC Landsat
• The Landsat program is the longest running enterprise for acquisition
of satellite imagery of Earth.
– Landsat 1 (originally named Earth Resources Technology Satellite 1): launched July
23, 1972, terminated operations January 6, 1978
– Landsat 2: launched January 22, 1975, terminated January 22, 1981
– Landsat 3: launched March 5, 1978, terminated March 31, 1983
– Landsat 4: launched July 16, 1982, terminated 1993
– Landsat 5: launched March 1, 1984, still functioning, but severe problems since
November 2011. On December 26, 2012, USGS announced that Landsat 5 will be
decommissioned.
– Landsat 6: launched October 5, 1993, failed to reach orbit
– Landsat 7: launched April 15, 1999, still functioning, but with faulty scan line
corrector (May 2003)
– Landsat 8: Landsat Data Continuity Mission was launched February 11, 2013. May
30, 2013 Landsat Data Continuity Mission was turned over to USGS and renamed
Landsat 8.
TWC Landsat ETM+
Band Number Name Spectral Range
(µm)
Ground
Resolution(m)
1 Blue .45 to .515 30
2 Green .525 to .605 30
3 Red .63 to .690 30
4 Near Infrared .75 to .90 30
5 Shortwave IR-1 1.55 to 1.75 30
6 Thermal IR 10.40 to 12.5 60
7 Shortwave IR-2 2.09 to 2.35 30
Pan Panchromatic .52 to .90 15
The main instrument on board Landsat 7 is the Enhanced Thematic
Mapper Plus (ETM+). Landsat 7 and ETM+ Characteristics:
Landsat 7
before
launch
Source: http://igett.delmar.edu/Resources/Remote%20Sensing%20Technology%20Training/Landsat_bands-sm.pdf
TWC
TWC
Note this is a false color image:
an image that depicts an object in colors
that differ from those a photograph (a
"true-color" image) would show.
Band 4: Red
Band 5: Green
Band 3: Blue
Spectral bands are part of optical
spectra of polyatomic systems.
Current Landsat collection is that of
seven bands, including several in the
infra-red spectrum, ranging from a
spectral resolution of 0.07 to 2.1 μm.
the true color image of
an area Band 3: Red
Band 2: Green
Band 1: Blue
TWC Data collection
Georeferencing
Integrated Image Interpretation
Fieldwork, ground truthing
Synthesis and compilation
Image interpretation and project
schedule
47
!!!
Georeferencing is
often underestimated.
If not properly dealt
with from the start it
will be a pain in the
neck throughout the
live cycle of a project.
TWC
Detection
Categorization
Identification
Classification
Discrimination
Information
Data Remotely sensed datasets
Are targets distinguishable from
background? (“separability”)
Selective picking out things of informational value
Partitioning and coding
“Recognition”
Is a discipline-oriented kind of classification
Different Steps in Image
Interpretation
48
TWC Sensor Return
Not diagnostic
Relate to geology
Discriminative
Diagnostic
Identification possible Categorization possible
Categorization not possible
Analysis not possible
Not discriminative
Not related
49
TWC Unknown categories
Spontaneous
Recognition
External
Information
Known classes
Fe
ed
ba
ck Recognition process in visual
analysis
TWC
A
B
C
D
Spontaneous Recognition
• memory
• experience
• “data bank”
• etc.
TWC Unknown categories
Spontaneous
Recognition
External
Information
Known classes
Fe
ed
ba
ck
Recognition process in visual
analysis
52
TWC Logical Inference
“man’s superior
intelligence”
• Knowledge of the
area
• Past experience in
similar terrain
• Image photo
interpretation
characteristics
TWC In the image interpretation process, the objects of our interest are
Measured* in terms of variations in:
TONE **
TEXTURE
PATTERN
SHAPE
ORIENTATION
SIZE
ASSOCIATION
SITE
* Measurements done at
- nominal scale (coding)
- ordinal scale (>,<)
- seldom used: interval, ratio ** Descriptive terms are often used
The more explicit rule for
photo/image interpretation:
54
TWC Drainage pattern
The interpretation element:
PATTERN
5 Annular
Dot
Sinkhole
Knob & Kettle
Internal Draiange
Lacunate
Special Patterns
Deranged
Dichotomic
Anastomotic
Braided
Barbed
Thermokarst
Gilgai
Pinnate Pectinate Dendritic
1
Contorted Angulate Rectangular
2
Sub-parallel
Parallel
3
Radial 4
55
TWC Patterns of folded and faulted rocks
56
Asymmetrical + Thrust Fault
Cross fault through nose
TWC The rule of the ‘V’s
1. Dip direction != slope direction
– “V” of layer in stream points in dip
direction
2. Dip direction = slope direction
&& dip amount of layer > slope angle
– “V” of layer in stream points in dip
direction
3. Dip direction = slope direction
&& dip < slope
– V” of layer in stream points opposite
to dip dir
3 is the anomalous case!
TWC Different types of Faults
TWC Remember these from our recent
lectures?
59
TWC Remember these from our recent
lectures?
60
TWC Remember these from our recent
lectures?
61
TWC Remember these from our recent
lectures?
62
TWC Remember these from our recent
lectures?
63
TWC What is this? Hmm… circular pattern
64
TWC It is a crater!
Manicouagan crater
It is thought to have been
caused by the impact of a 5 km
(3 mi) diameter asteroid about
215.5 million years ago (Triassic
Period).
65
TWC Unknown categories
Spontaneous
Recognition
External
Information
Known classes
Fe
ed
ba
ck
Recognition process in visual
analysis
66
TWC External Information
TWC Different types of images
Flat Irons on
Landsat TM+
TWC
Flat Irons on
Anaglyph
69
TWC
Flat Irons/folding/
lineaments on Shaded
SRTM Data
STRM –
Shuttle Radar
Topography
Mission
TWC Faults on Landsat ETM+
TWC Folding on Landsat TM+
72
TWC Folding on Anaglyph
TWC Fieldwork Representation of
Geological Information
74
TWC Fieldwork Representation of Geological Information
TW, 2000
TW, 2000
TWC Before we end the lecture…
• Landsat is only one of the various sources for
remote sensing images
• And now days there are various RS systems and
various of RS data formats
• And various software programs available
• Yes, geological remote sensing is an active field
of research!
TWC Recognition Processes Self Test 1 -
relevant to the quiz in next week
Analyze a part of the Landsat TM Coverage of
the Doon Valley.
1. What is the first important thing you have to
do in order to interpret this image?
2. Spontaneous delineation of lithological
boundary is possible, but is it evident to do
direct identification of the rock type?
3. Why do we see variations in color?
4. Look into contact A and B. Are they also
geological boundaries?
5. Where do you think is the drainage divide?
6. Is Unit C the same outcrop as Unit D?
7. Compare the image with the “Geological Map
of the Dehradun Area” given in class. Could
you relate the lithological units defined in the
geological map with the image?
8. What can guide you to better definition of the
lithological units?
77
TWC
Thank You
Image c. British Geological Survey