introduction to field informatics chapter 1 remote sensing and geographic information system kyoto...
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Introduction to Field InformaticsChapter 1
Remote Sensing and Geographic Information System
Kyoto University
Graduate school of informatics
Tetsuro SAKAI
1/30Copyright (C) 2010 Field Informatics Research Group. Kyoto University. All Rights Reserved.
An Overview of Remote Sensing
• Analyzed techniques of the characteristics and status of a target object without touching directly from the place left.
• Technical term was coined during the space age of the 1960s• Using the reflection and radiation of electromagnetic waves• Based on “All objects, if their types and environmental
conditions differ, have different characteristics in terms of the reflection or emission of electromagnetic waves.”
• Using magnetic or gravitational force instead of electromagnetic waves
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Application field of a remote sensing
• Remote sensing, which covers wide-scale terrestrial, atmospheric and oceanographic data collection as well as the monitoring of global-scale environmental shifts, has applications for a wide variety of fields.
• In terrestrial science, it is used as a means of acquiring and analyzing data about the environment and natural resources; such as data on land use, land cover, changes in vegetation and projections of crop growth and grain harvests.
• In oceanography, it is used to measure sea level, water pollution, the distribution of plant plankton, sea temperature and so on
• In atmospheric science, it is used to examine the composition of minor atmospheric constituents, such as carbon dioxide and ozone, and to analyze cloud formations and other weather phenomena.
• In the global environment age, the importance of the remote sensing becomes increasingly big.
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Conceptual diagram of remote sensing
Reflection of solar radiation
Thermal radiationReflection of microwave
Earth observation satellite
Visible spectrum/reflection infrared remote sensing: reflected sunlight
Thermal infrared remote sensing : heat radiation
Microwave remote sensing : reflection of emitted microwaves
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Visible spectrum/reflection infrared remote sensing
Measuring reflected solar radiation (visible or infrared)
Observation is not possible at night or when clouds cover the sky
The peak of radiation of sunlight is a visible ray area.
Necessary to correct for atmospheric, topographical features and the position of the sun
Example of usageWeather observation satellite : the distribution of the cloud and the water vapor, observation of snow ice and floating ice Earth observation satellite : land coverage, land-use change, vegetation and mineral resource
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Thermal infrared remote sensingMeasuring the thermal radiation which a target object emits
Temperature observation by measuring the thermal radiation
Human social economic activity observation by measurements of night-time artificial light
Observation of discharge of thunder
Example of usage
Measurement of sea water temperature: weather observation and the fishing industry
Observation in a hot spot :discovery of a brushfire and an accident
Observation of night-time artificial light : grasp the extent of damage in areas hit by earthquakes and other disasters
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Microwave remote sensingThe active method using Synthetic Aperture Radar (SAR).
A microwave is emitted and the reflective wave is observed, so it‘s also possible to observe in night.
A microwave which wavelength is long passes cloud, so corresponds to all-weather
A microwave have directionality, so undergoes influence of the topography hard
Example of usageTerrain analysis: the distortion of the topography by the crustal alteration
Land cover: the paddy area, rice growth process and vegetation
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Spectral Reflection Characteristics
Shorter Wave of length Longer
B G R
Visible light
Ultravio
let light
Plant
Soil
Water
Thermal radiation
Reflection of solar radiationS
trength
of the reflection
Stren
gth of th
e radiation
Near infrared Middle infrared Thermal infrared radiation radiation radiation
Microwave
Plant : Reflection characteristic of chlorophyll, blue and red are absorbed, and green and near infrared are reflected.
Soil : There is a reflective peak in a visible area.
Water : reflect in the visible area, but absorb in the infrared area.
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Wavelength range and Characteristic of Remote Sensing
Wave-class Name Wavelength Characteristics Visible Light Blue 0.4μm~ 0.5μm Distinction of the soil and the vegetation
Green 0.5μm~ 0.6μm Vegetation activity
Red 06μm~ 0.7μm Distinction of soil and water, vegetation activity
Infrared Rays Near-Infrared 0.7μm~ 1.3μmVegetation activity and distinction of land water and the topography
SWIR 1.3μm~ 3μmJudgment of the inland water area, geological feature reading, soil moisture content
Mid-infrared 3μm~ 8μm
Thermal infrared8μm~ 14μm Temperature measurement
Far infrared 14μm~ 1mm Microwave X-band 2.4cm~ 3.75cm Reflect by leaves
C-band 3.75cm~ 7.5cm Reflect by leaves and a branches
L-band 15cm~ 30cmPenetrate through leaves, Reflect by trunks and the ground surface
* The name is different depending on the fields, and SWIR is sometimes included in Mid-infrared.
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The process of image data processing
Z
Atmospheric correction is influential correction of scattering in the atmosphere
• Corrections using values that reflection ratio is already known
• Performing comparative calculations between spectral bands
Geometric correction is the distortion of the sensor and correction of a map projection
• Comparing maps and images of the target area and designating several overlapping points
Topography correction is correction of difference in sunlight reflection in sloping ground
• Correction using the angle and inclination of the terrain and the position of the sun
• Ordinary method is ratio calculation between the band
Cla
ssifi
cati
on
p
rocessin
gC
orre
ctio
n
pro
cessin
g
Atmospheric correction
Geometric correction
Image classification
Topography correctionImage enhancement
and feature extraction
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Classification processingImage enhancement and feature
extraction
• Color tone conversion and color composition using brightness histogram
• Spatial filtering• Spectral feature extraction (principal component analysis,
vegetation index,…)• Textural feature extraction Image classification
• Supervised classification (wealth previous information): Using data from selected training areas, the statistical values are calculated and the entire target area is classified. The maximum-likelihood classification method is generally used.
• Unsupervised classification ( little previous information): Using the variables of random sampling pixels, they are classified several classes by cluster analysis. Using these statistical values , the entire target area is classified.
Classification processing
Corre
ctio
n
pro
cessin
g
Atmospheric correction
Geometric correction
Image classification
Topography correction
Image enhancement and feature extraction
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False-color and NDVI
False-color image NDVI image
Natural color : Red, Green, Blue
False color : NIR, Red, Green
Vegetation is shown to red
Normalized Difference Vegetation Index ( NDVI):-1 ~ +1NDVI = (NIR – RED)/(NIR + RED)NIR= the brightness value of the near infrared band.
The activity of the vegetation is so high
that the numerical value is big
Ikonos satellite image showing the Kyoto Prefectural Botanical Garden and the surrounding area 12/30Copyright (C) 2010 Field Informatics Research Group. Kyoto University. All Rights Reserved.
GIS: Geographic Information System
GIS is a system in which map information, along with various additional information, can be displayed and referenced using computers
Application fieldManagement of living infrastructure (house, road, water,…… )Management of productive facility ( agricultural field, …. )
Management of a natural environment ( Forest, Park, watershed,... )
Disaster prevention and military use…..
Four Ms plainly state the qualities of GIS Measurement of environmental variables Mapping of features Monitoring of environmental changes Modeling of plans or contingency plans
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Concept of layers
• A layer is the unit of the data management in GIS
• Management by the respective layers every independent figure
• A conventional map condenses into 1sheet, GIS is made up of many separate sheets
• A layer is managed synthetically by position information
・・・・
RS classification
Aerial photography
ElevationDrainage systems
BuildingsTrain lines
Land use
Roads
Administrative boundary
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Data Structures Concept
Polygon
Point
Line
Vector format data structureRaster format data structure
B B B B B B B BB B B B B B B BB B A A A B B BB B A A A B B B B B B A B B B BB B B B B B B B
A
B
The two representative data structures used in GIS are raster format and vector format. They have a merit and demerit respectively and are often combine used.
Express spatial information by a point, a line and a polygon
Express spatial information by grid
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Acquisition of Positioning Information
There are two types of satellite positioning systems.GPS (Global Positioning System) is managed by the United States. GLONASS (Global Navigation Satellite System) is managed by Russia.GPS is widely generally used.
In order to handle space information in GIS, positioning information is needed
Until recently, positioning information was calculated on maps using a compass or measured from clearly-established locations (such as bridges, crossroads, benchmarks) on maps
Nowadays, with satellite positioning systems, such as GPS, positioning information has become much easier to obtain
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Positioning Methods used in GPS
Single-point positioning Differential method Static method
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Independent positioning method (Single-point positioning)
• Uses only one receiver
• Seeks the position of the observation point by measuring the false distance between that point and the positions of GPS.
• Four GPS satellites are necessary for correction of the receiver’s clock
• This method can position in real time, the accuracy of the measurements is comparatively low, with a margin of error of about ten meters.
Example of usage
• navigation
• simple surveying
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Differential positioning MethodObservation at same time using multiple GPS receivers at the fixed benchmark position and at the measurement point.
Error information is calculated in benchmark point and the position is corrected using the error information.
At both measurement point, positional information is calculated with the same satellite
GPS with a differential function and the corrective information from such as the beacon bureau are needed. The error are about 1 m.
Example of usage
• Navigation support at neighboring seas and a harbor
• Simple measurement highly precise little
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Static method positioning
Using two highly precise GPS receivers
The carrier phase of the GPS radio wave is measured and a base line vector between observation points is calculated.
Need time for observation and analysis, but the measurement precision is high. the error is several mm
Example of usage
• Highly precise control point surveying
• Scientific research activities such as measuring the movement of the earth’s crust
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Processing of GIS
+
=
Overlaying
different themes layers are overlaid to create composite layers
A buffer
extracting target objects within a set radius from a specific point and line
• Data collection : Collection of information in relation to the purpose of analysis
Existing and relevant resources, such as maps, statistical information and field reports
• Pre-processing and data input : Task of inputting collected data into GISRequires the greatest expenditures of time and effort
• Database management : Making and management of GIS databaseThe basis of the GIS software, the general user non-participate
• Information analysis processing : Analysis operation to draw informationInformation retrieval, the making of the new layer, modeling
• Information output : Final results of analysis are outputExample of information analysis
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The standardization of and interrelation between data formats
related to spatial data
Standardization of the map information to support digital earth on the Internet
KML (Keyhole Markup Language)
Most GIS software
GPS
Google Earth
Google MapsNMEA, GPX
GML( Geography Markup
Language )Basis of description of
geographic information
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Example of image transfer
Google Maps
Google Earth
GIS image
KML
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Case Studies of RS and GIS Usage
Land coverage in a basin is analyzed using a satellite image by a ASTER sensor with TERRA satellite (resolution 15m).
Object place : The Ishigaki-jima Island southern part
geometric correction
Land coverage classification
Satellite imageterrain map
basin
Land coverage figure of the basin unit
GIS
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Geometric Correction
Yaeyama Islands
Raw image Image after geometric correction
Corrected using attached positional information for four corners and for the image's center
The upper left of the Figure is Iriomote Island and the upper right is a part of Ishigaki Island. This figures are rendered using false color. the blue areas are shallow seas and the red area are vegetation.
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Classification
False-color image Image after unsupervised classification
Variables: the green band, red band, near-infrared band and the NDVI vegetation index.
Method of classification: Unsupervised classification(15classes)
Result : Forest ( green ) , Farmland and a City area (pink color) , Coral reef and Sea (light blue )
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Display in GIS with classification resultClassification result, map of Geographical Survey Institute and each basin layer are overlaid in GIS.
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Land Cover Classification Result
Extraction of land cover classification result from drainage basin areas
Drainage basin A
Drainage basin B
Drainage basin A
Drainage basin B
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Collection in a behavior track by GPS
The routes traveled by mountain climbers (original image by Yoshimura Tetsuhiko)
People visiting beauty spots including the national park increase, and natural destruction by the overuse is a problem
Visitor's behavior track is collected and the activities and frequency are analyzed.
A blue line and a red line in the figure indicate the difference of entrances and the thickness indicates a number of visitor.
Visitors are concentrating in a part of upper-right and lower-left in this figure.
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3-S TechnologiesRemote sensing (RS)Geographical information systems (GIS) Satellite positioning systems (GPS)
The collecting and analysis of space information and their subsequent results are useful “tools”
The information system with space information is various - from the large-scale tasks of the earth level such as the climate change analysis, to the small-scale tasks of the local level such as a disaster prevention system or the environmental map
For the foreseeable future, the role of space information science, which brings real-world applications to geographic information, and the need for learning about the “3-S Technologies” are expected to continue to grow in importance.
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