Remote sensing involves obtaining information about objects through analysis of sensor data without physical contact. It has its origins in aerial photography from tethered balloons in the 1840s. Modern remote sensing uses platforms like satellites carrying active sensors that emit energy or passive sensors that record natural energy like sunlight. Sensors collect data on environmental factors that is processed and can be applied to fields like agriculture, geology, oceanography and more.
This is all about remote sensing. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth.Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance from the targeted area. Special cameras collect remotely sensed imagesof the Earth, which help researchers "sense" things about the Earth.
Types of Platforms
1. Airbrone Platforms
2. Spacebrone Platforms
Platforms are Vital Role in remote sensing data acquisition
Necessary to correct the position the remote sensors that collect data from the objects of interest
This is all about remote sensing. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth.Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance from the targeted area. Special cameras collect remotely sensed imagesof the Earth, which help researchers "sense" things about the Earth.
Types of Platforms
1. Airbrone Platforms
2. Spacebrone Platforms
Platforms are Vital Role in remote sensing data acquisition
Necessary to correct the position the remote sensors that collect data from the objects of interest
What is Remote Sensing?
Process of Remote Sensing
Electromagnetic Radiations
Electromagnetic Spectrum
Interaction with Atmosphere
Radiations-Target Interactions
Passive Vs Active Sensing
A remote sensing system uses a detector to sense the reflected or emitted energy from the earth's surface, perhaps modified by the intervening atmosphere. The sensor can be on a satellite, aircraft, or drone. The sensor turns the energy into a voltage, which an analog to digital converter turns into a single integer value (called the Digital Number, or DN) for the energy. Alternatively a digital detector can store the DN directly. We can then display this value with an appropriate color to build up an image of the region sensed by the system. The DN represents the energy sensed by the sensor in a particular part of the electromagnetic spectrum, emitted or reflected from a particular region. The principles can also be applied to sonar imagery, especially useful in water where sound penetrates readily whereas electromagnetic energy attenuates rapidly.
Definitions,
Remote sensing systems can be active or passive: active systems put out their own source of energy (a large "flash bulb") whereas passive systems use solar energy reflected from the surface or thermal energy emitted by the surface. Active systems can achieve higher resolution.
Satellite resolution considers four things: spatial, spectral, radiometric, and temporal resolution.
Electromagnetic radiation and the atmosphere control many aspects of a remote sensing system.
Satellite orbits determine many characteristics of the imagery, what the satellite sees, and how often it revisits an area.
The signal to noise ratio is important for the design of remote sensing systems.
Satellite band tradeoffs.
Interpreting satellite reflectance patterns and images uses various statistical measures to assess surface properties in the image.
The colors used on the display are gray shading for single bands, and RGB for multi-band composites. We can also perform image merge and sharpening to combine the advantages of both panchromatic (higher spatial resolution) and color imagery (better differentiation of surface materials).
Keys for image analysis
Hyperspectral imagery
Spectral reflectance library--different materials reflect radiation differently
What is Remote Sensing?
Process of Remote Sensing
Electromagnetic Radiations
Electromagnetic Spectrum
Interaction with Atmosphere
Radiations-Target Interactions
Passive Vs Active Sensing
A remote sensing system uses a detector to sense the reflected or emitted energy from the earth's surface, perhaps modified by the intervening atmosphere. The sensor can be on a satellite, aircraft, or drone. The sensor turns the energy into a voltage, which an analog to digital converter turns into a single integer value (called the Digital Number, or DN) for the energy. Alternatively a digital detector can store the DN directly. We can then display this value with an appropriate color to build up an image of the region sensed by the system. The DN represents the energy sensed by the sensor in a particular part of the electromagnetic spectrum, emitted or reflected from a particular region. The principles can also be applied to sonar imagery, especially useful in water where sound penetrates readily whereas electromagnetic energy attenuates rapidly.
Definitions,
Remote sensing systems can be active or passive: active systems put out their own source of energy (a large "flash bulb") whereas passive systems use solar energy reflected from the surface or thermal energy emitted by the surface. Active systems can achieve higher resolution.
Satellite resolution considers four things: spatial, spectral, radiometric, and temporal resolution.
Electromagnetic radiation and the atmosphere control many aspects of a remote sensing system.
Satellite orbits determine many characteristics of the imagery, what the satellite sees, and how often it revisits an area.
The signal to noise ratio is important for the design of remote sensing systems.
Satellite band tradeoffs.
Interpreting satellite reflectance patterns and images uses various statistical measures to assess surface properties in the image.
The colors used on the display are gray shading for single bands, and RGB for multi-band composites. We can also perform image merge and sharpening to combine the advantages of both panchromatic (higher spatial resolution) and color imagery (better differentiation of surface materials).
Keys for image analysis
Hyperspectral imagery
Spectral reflectance library--different materials reflect radiation differently
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2. REMOTE SENSING
• Remote sensing is defined as the technique of obtaining
information about objects through the analysis of data
collected by special instruments that are not in physical
contact with the objects of investigation.
• Collection of information about an object without coming into
physical contact.
• The information needs a physical carrier to travel from the
objects/events to the sensors through an intervening medium.
• The electromagnetic radiation is normally used as an
information carrier in remote sensing.
• The output of a remote sensing system is usually an image
representing the scene being observed.
3. HISTORY
• The technology of modern remote sensing began with the
invention of the camera more than 150 years ago.
• The idea and practice of looking down at the Earth's surface
emerged in the 1840s when pictures were taken from
cameras secured to tethered balloons for purposes of
topographic mapping.
• Satellite remote sensing can be traced to the early days of
the space age (both Russian and American programs) and
actually began as a dual approach to imaging surfaces using
several types of sensors from spacecraft.
• The term "remote sensing," first used in the United States in
the 1950s by Ms. Evelyn Pruitt of the U.S.
5. ELEMENTS INVOLVED IN
REMOTE SENSING
1. Energy Source or Illumination (A)
2. Radiation and the Atmosphere (B)
3. Interaction with the Object (C)
4. Recording of Energy by the Sensor (D)
5. Transmission, Reception and Processing (E)
6. Interpretation and Analysis (F)
7. Application (G)
7. ACTIVE REMOTE
SENSORS
• Active remote sensing uses an artificial source
for energy.
• For example the satellite itself can send a pulse
of energy which can interact with the target.
• In active remote sensing, humans can control
the nature (wavelength, power, duration) of the
source energy. Active remote sensing can be
carried out during day and night and in all
weather conditions.
8. PASSIVE REMOTE SENSORS
• Passive remote sensing depends on a
natural source to provide energy.
• For example sun is the most powerful and
commonly used source of energy for passive
remote sensing.
• The satellite sensor in this case records
primarily the radiation that is reflected from the
target.
10. PLATFORMS
•The base on which remote sensors
are placed to acquire information
about the Earth surface is called
platforms.
• Ground based
• Airborne
• Space borne
11.
12. PLATFORMS USED FOR
REMOTE SENSING
• Ground-based platforms: ground, vehicles and/or towers
=> up to 50 m
• Airborne platforms: airplanes, helicopters, high-altitude
aircrafts, balloons => up to 50 km
• Space borne: rockets, satellites, shuttle => from about
100 km to 36000 km
1. Space shuttle: 250-300 km
2. Space station: 300-400 km
3. Low-level satellites: 700-1500 km
4. High-level satellites: about 36000 km
13. ADVANTAGES OF REMOTE
SENSING
• Provides a regional view (large areas).
• Provides repetitive looks at the same area.
• Remote sensors "see" over a broader.
portion of the spectrum than the human
eye.
• Provides geo-referenced, digital, data.
• Some remote sensors operate in all
seasons, at night, and in bad weather
15. REMOTE SENSING
• Meteorology
Profiling of atmospheric temp. and water vapor
Measuring wind velocity
• Oceanography
Measurements of sea surface temperature
Mapping ocean currents
• Glaciology
Mapping motion of sea ice and ice sheets
Determining the navigability of the sea
• Geology
Identification of rock types
Location of geological faults and anomalies
16. APPLICATIONS OF REMOTE
SENSING
• Agriculture
Monitoring the extend and type of vegetation
Mapping soil types
• Hydrology
Assessing water resources
Forecasting melt water run-off from snow
• Disaster control
Warning of sand and dust storms, flooding
Monitoring of pollution