Remote Sensing
An Introduction
Remote Sensing is the science and art of acquiring information (spectral, spatial, temporal) about material objects, area, or phenomenon, without coming into physical contact with the objects, or area, or phenomenon under investigation. Without direct contact, some means of transferring information through space must be utilised. In remote sensing, information transfer is accomplished by use of electromagnetic radiation (EMR). EMR is a form of energy that reveals its presence by the observable effects it produces when it strikes the matter. EMR is considered to span the spectrum of wavelengths from 10-10 mm to cosmic rays up to 1010 mm, the broadcast wavelengths, which extend from 0.30-15 mm.
Types
1. In respect to the type of Energy Resources:
Passive Remote Sensing: Makes use of sensors that detect the reflected or emitted electro-magnetic radiation from natural sources.
Active remote Sensing: Makes use of sensors that detect reflected responses from objects that are irradiated from artificially-generated energy sources, such as radar.
2. In respect to Wavelength Regions:
Remote Sensing is classified into three types in respect to the wavelength regions
* Visible and Reflective Infrared Remote Sensing.
* Thermal Infrared Remote Sensing.
* Microwave Remote Sensing.
Bands Used in Remote Sensing
Emission of EMR (Electo-Magnetic Radiation) from gases is due to atoms and molecules in the gas. Atoms consist of a positively charged nucleus surrounded by orbiting electrons, which have discrete energy states. Transition of electrons from one energy state to the other leads to emission of radiation at discrete wavelengths. The resulting spectrum is called line spectrum. Molecules possess rotational and vibrational energy states. Transition between which leads to emission of radiation in a band spectrum. The wavelengths, which are emitted by atoms/molecules, are also the ones, which are absorbed by them. Emission from solids and liquids occurs when they are heated and results in a continuous spectrum. This is called thermal emission and it is an important source of EMR from the viewpoint of remote sensing.
The Electro-Magnetic Radiation (EMR), which is reflected or emitted from an object, is the usual source of Remote Sensing data. However, any medium, such as gravity or magnetic fields, can be used in remote sensing.
Remote Sensing Technology makes use of the wide range Electro-Magnetic Spectrum (EMS) from a very short wave "Gamma Ray" to a very long 'Radio Wave'.
Wavelength regions of electro-magnetic radiation have different names ranging from Gamma ray, X-ray, Ultraviolet (UV), Visible light, Infrared (IR) to Radio Wave, in order from the shorter wavelengths.
The optical wavelength region, an important region for remote sensing applications, is further subdivided as follows:
Name Wavelength (mm)
Optical wavelength 0.30-15.0
Reflective 0.38-3.00
1. Portion Visible 0.38-0.72
2. Near IR 0.72-1.30
3. Middle IR 1.30-3.00
Far IR (Thermal, Emissive) 7.00-15.0
Microwave region (1mm to 1m) is another portion of EM spectrum that is frequently used to gather valuable remote sensing information.
Spectral Characteristics vis-à-vis different systems.
The sunlight transmission through the atmosphere is effected by absorption and scattering of atmospheric molecules and aerosols. This reduction of the sunlight's intensity s called extinction.
The interrelationship between energy sources and atmospheric absorption characteristics is shown in Figure 3
* Figure 3(a) shows the spectral distribution of the energy emitted by the sun (black body at 58000 K and by earth features black body at 3000 K). These two curve represent the most common sources of energy used in remote sensing.
* Figure 3(b) shows the spectral regions in which the atmosphere blocks the energy are shaded. Remote-sensing data acquisition is limited to the unblocked spectral regions called atmospheric windows.
* Figure 3(c) shows that the spectral sensitivity range of the eye (the 'visible' range) coincides with an 'atmospheric window' and the peak level of energy from the sun.
* Figure3 (d) shows the example of atmospheric transmission characteristics and notes some of the important 'atmospheric windows'. An 'atmospheric window' is a portion of Electro-magnetic spectrum in which the radiation passing through the atmosphere is not significantly altered by reflection, or absorption, or scattered by atmospheric constituents. Some useful atmospheric windows are given in the table.
The important point to note from the figures is the interaction and the interdependence between the primary sources of Electro-magnetic energy, the atmospheric windows through which source energy may be transmitted to and from the earth's surface features, and the spectral sensitivity of the sensors available to detect and record the energy. One cannot select the sensors to be used in any given remote-sensing task arbitrarily; one must instead consider
1. the available spectral sensitivity of the sensors,
2. the presence or absence of atmospheric windows in the spectral range(s) in which one wishes to sense, and
3. the source, magnitude, and spectral composition of the energy availabe in these ranges.
Ultimately, however, the choice of spectral range of the sensor must be based on the manner in which the energy interacts with the features under investigation.
Energy Interactions, Spectral Reflectance and Colour Readability in Satellite Imagery
All matter is composed of atoms and molecules with particular compositions. Therefore, matter will emit or absorb electro-magnetic radiation on a particular wavelength with respect to the inner state. All matter reflects, absorbs, penetrates and emits Electro-magnetic radiation in a unique way. Electro-magnetic radiation through the atmosphere to and from matters on the earth's surface are reflected, scattered, diffracted, refracted, absorbed, transmitted and dispersed. For example, the reason why a leaf looks green is that the chlorophyll absorbs blue and red spectra and reflects the green. The unique characteristics of matter are called spectral characteristics.
Energy Interactions
When electro-magnetic energy is incident on any given earth surface feature, three fundamental energy interactions with the feature are possible. See Figure 4
Spectral Reflectance & Colour Readability
Two points about the above given relationship (expressed in the form of equation) should be noted.
1. The proportions of energy reflected, absorbed, and transmitted will vary for different earth features, depending upon their material type and conditions. These differences permit us to distinguish different features on an image.
2. The wavelength dependency means that, even within a given feature type, the proportion of reflected, absorbed, and transmitted energy will vary at different wavelengths.
Thus, two features may be distinguishable in one spectral range and be very different on another wavelength brand. Within the visible portion of the spectrum, these spectral variations result in the visual effect called COLOUR. For example we call blue objects 'blue' when they reflect highly in the 'green' spectral region, and so on. Thus the eye uses spectral variations in the magnitude of reflected energy to discriminate between various objects.
A graph of the spectral reflectance of an object as a function of wavelength is called a spectral reflectance curve. The configuration of spectral reflectance curves provides insight characteristics of an object and has a strong influence on the choice of wavelength region(s) in which remote sensing data are acquired for a particular application. This is illustrated in figure 5, which shows highly generalized spectral reflectance curves of deciduous and coniferous trees. (In the discussion, we use the terms deciduous and coniferous somewhat loosely, referring to broad-leaved trees, such as Oak and Maple, as deciduous and to needle-bearing trees, such as pine and spruce, as coniferous.). It should be noted that the curve for each of these object types is plotted as a 'ribbon' (or 'envelope') of values, not as a single line. This is because spectral reflectances vary somewhat within a given material class. That is, the spectral reflectance of one deciduous tree species and another will never be identical. Nor will the spectral reflectance of trees of the same species ever be exactly equal.
Figure 6 shows the typical spectral reflectance curves for three basic types of earth feature:
* Green vegetation
* Soil
* Water.
The lines in this figure represent average reflectance curves compiled by measuring large sample features. It should be noted how distinctive the curves are for each feature. In general, the configuration of these curves is an indicator of the type and condition of the features to which they apply. Although the reflectance of individual features will vary considerably above and below the average, these curves demonstrate some fundamental points concerning spectral reflectance.
Colour Discrimination based on Wavelengths of Spectral Reflectances.
(IRS-IA/IB LISS I and LISSII*)
| Band | wavelength (µm) | Principal |
| 1 | 0.45-0.52 | Sensitive to sedimentation, deciduous/coniferous forest cover discrimination, soil vegetation differentiation |
| 2 | 0.52-0.59 | Green reflectance by healthy vegetation, vegetation vigour, rock-soil discrimination, turbidity and bathymetry in shallow waters |
| 3 | 0.62-0.68 | Sensitive to chlorophyll absorption: plant species discrimination, differentiation of soil and geological boundary |
| 4 | 0.77-0.86 | Sensitive to green biomass and moisture in vegetation, land and water contrast, landform/geomorphic studies. |
*Spatial Resolution of Linear imaging self scanning (LISS): LISS-I (72.5 m) and LISS-II (36.25m)
Electro-Magnetic Remote Sensing of Earth's Resources -- Process & Elements
Major Components of Remote Sensing Technology:
The following are major components of Remote sensing System:
1. Energy Source
2. Passive System: sun, irradiance from earth's materials;
3. Active System: irradiance from artificially generated energy sources such as radar.
4. Platforms:(Vehicle to carry the sensor) (truck, aircraft, space shuttle, satellite, etc.)
5. Sensors:(Device to detect electro-magnetic radiation) (camera, scanner, etc.)
6. Detectors: (Handling signal data) (photographic, digital, etc.)
7. Processing:(Handling Signal data) (photographic, digital etc.)
8. Institutionalisation: (Organisation for execution at all stages of remote-sensing technology: international and national orrganisations, centres, universities, etc.).
Platforms
The vehicles or carriers for remote sensors are called the platforms. Typical platforms are satellites and aircraft, but they can also include radio-controlled aeroplanes, balloons kits for low altitude remote sensing, as well as ladder trucks or 'cherry pickers' for ground investigations. The key factor for the selection of a platform is the altitude that determines the ground resolution and which is also dependent on the instantaneous field of view (IFOV) of the sensor on board the platform.
Salient feature of some important satellite platforms.
| Features | Landsat1,2,3 | Landsat 4,5 | SPOT | IRS-IA | IRS-IC |
| Natre | Sun Sys | Sun Sys | Sun Sys | Sun Sys | Sun Sys |
| Altitude (km) | 919 | 705 | 832 | 904 | 817 |
| Orbital period (minutes) | 103.3 | 99 | 101 | 103.2 | 101.35 |
| inclination (degrees | 99 | 98.2 | 98.7 | 99 | 98.69 |
| Temporal resolution (days) | 18 | 16 | 26 | 22 | 24 |
| Revolutions | 251 | 233 | 369 | 307 | 341 |
| Equatorial crossing (AM) | 09.30 | 09.30 | 10.30 | 10.00 | 10.30 |
| Sensors | RBV,MSS | MSS,TM | HRV | LISS-I,LISS-II | LISS-III,PAN,WIFS |
SENSORS
| ACTIVE SENSORS
| PASSIVE SENSORS
|
| Passive Non-Scanning
Scanning
| Active Non-Scanning · Non-Imaging. (They are a type of profile recorder, ex. Microwave Radiometer.Microwave Altimeter.Laser Water Depth Meter.Laser Distance Meter. Scanning · Imaging. (It is a radar ex. Object Plane scanning: 1. Real Aperture Radar. 2. Synthetic Aperture Radar.
3. Passive Phased Array Radar. |
Resolution
In general resolution is defined as the ability of an entire remote-sensing system, including lens antennae, display, exposure, processing, and other factors, to render a sharply defined image. Resolution of a remote-sensing is of different types.
1. Spectral Resolution: of a remote sensing instrument (sensor) is determined by the band-widths of the Electro-magnetic radiation of the channels used. High spectral resolution, thus, is achieved by narrow bandwidths width, collectively, are likely to provide a more accurate spectral signature for discrete objects than broad bandwidth.
2. Radiometric Resolution: is determined by the number of discrete levels into which signals may be divided.
3. Spatial Resolution: in terms of the geometric properties of the imaging system, is usually described as the instantaneous field of view (IFOV). The IFOV is defined as the maximum angle of view in which a sensor can effectively detect electro-magnetic energy.
4. Temporal Resolution: is related ot the repetitive coverage of the ground by the remote-sensing system. The temporal resolution of Landsat 4/5 is sixteen days.
An Ideal Remote Sensing System
Having introduced some basic concepts, we now have the necessary elements to conceptualize an ideal remote sensing system. In doing so, we can then appreciate some of the problems encountered in the design and application of the various real remote-sensing systems examined in subsequent chapters.
The basic components of an ideal remote-sensing system are shown in figure 8. These include the following components.
* A uniform energy source. This source will provide energy over all wavelengths, at a constant, known, high level of output, irrespective of time and place.
* A non-interfering atmosphere. This will be an atmosphere that will not modify the energy from the source in any manner, whether that energy is on its way to earth's surface or coming from it. Again, ideally this will hold irrespective of wavelength, time, place, and sensing altitude involved.
* A series of unique energy/matter interaction at the earth's surface. These interactions will generate reflected and/or emitted signals that are not only selective in respect to wavelengths, but also are known, invariant, and unique to each and every earth surface feature type and subtype of interest.
* A super sensor. This will be a sensor, highly sensitive to all wavelengths, yielding spatially detailed data on the absolute brightness (or radiance) from a scene (a function of wavelength), throughout the spectrum. This super sensor will be simple and reliable, require, virtually no power or space, and be accurate and economical to operate.
* A real-time data handling system. In this system, the instant the radiance versus wavelength response over a terrain element is generated, it will be processed into an interpretable format and recognized as being unique to the particular terrain element from which it comes. This processing will be performed nearly instantaneously (real time), providing timely information. Because of the consistent nature of the energy/matter interactions, there will be no need for reference data in the analytical procedure. The derived data will provide insight into the physical-chemical-biological state of each feature of interest.
* Multiple data users. These people will have comprehensive knowledge of both their respective disciplines and of remote-sensing data acquisition and analysis techniques. The same set of data will become various forms of information for different users, because of their vast knowledge about the particular earth resources being used.
Unfortunately, an ideal remote-sensing system, as described above, does not exist. Real remote-sensing systems fall short of the ideal at virtually every point in the sequence outlined.
Remote Sensing Satellites
A satellite with remote sensors to observe the earth is called a remote-sensing satellite, or earth observation satellite. Remote-Sensing Satellites are characterised by their altitude, orbit and sensor.
TRIOS Series (1960-1965)
The Television and Infrared Observation Satelites.
NOAA It is the first generation of National Oceanic and Atmospheric Administration satellites and was as the first operation operational remote sensing satellite system.
The third generation NOAA satellites are also successfully used for vegetation monitoring, apart from meteorological monitoring. It is equipped with Advanced Very High Resolution Radiometer (AVHRR) sensors, and is established at an altitude of 850 km. In polar orbit.
GMS Geo-synchronous meteorological satellite. It is established at an altitude of 36,000 km, and its main purpose is meteorological observations
Landsat is established at an altitude of 700 Kms is a polar orbit and is used mainly for land area observation.
Other remote sensing satellite series in operations are: SPOT, MOS, JERS, ESR, RADARSAT, IRS etc.
Posts
