Unit - 5
Remote Sensing
The electromagnetic spectrum is made up of following waves such as
All electromagnetic waves can travel through empty space. Unlike sound waves or water waves, EM waves do not require medium to travel through them. This is important, because EM waves could not travel through empty space, then the light and heat from the Sun would not be able to reach in ground surface.
EM waves travel very quickly. In fact, nothing in the universe is faster than electromagnetic wave. The speed at which these waves travel through empty space has been about 3x108 m/s, which means that an EM wave could travel all the way around the Earth about 8 times in a single second. light travels so fast and quick that it reaches the Earth surface at eight minutes after it leaves the Sun.
Electromagnetic waves can be divided and arranged according to their different wavelengths or frequency and this classification is called as the electromagnetic spectrum.
Wavelength and Frequency
all electromagnetic waves travel extremely fast through a vacuum, they differ mainly in their wavelength and frequency.
The frequency of a wave is the number of times it repeats in one second, and frequency is measured in terms of Hertz (1 Hz = 1 cycle/second).
The wavelength is the distance between successive wave peaks. For electromagnetic waves, wavelength is termed in units of nanometres (nm).
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All wave used for remote sensing passes through the atmosphere before and after it has interacted with the Earth's surface. atmosphere changes the wave or radiation's frequency, intensity, and direction. Radiance measured by an air- or space-borne sensor is affected by various factors, not solely diffuse sky irradiance between the sensor and the target on the ground surface. The atmosphere generally affects the visible and infra-red wavelengths and has more minor effects on microwave wavelength.
There are three physical processes involved:
Atmospheric Refraction.
Scattering
Scattering is the changing or redirection of EM radiation by particles present in the atmosphere. The amount of scattering depends upon the size of the particles present over the atmosphere. The abundance of particles, the wavelength of the electromagnetic radiation, and the depth of the atmosphere all are the factor which governs the scattering.
There are four main types of scattering: -
Remote sensing platforms can be defined as the structures on which remote sensing instruments that is sensor are placed. For the applications of remote sensing, sensors should be placed on suitable stable platforms. These platforms can be called as: -
If platform or vehicles height increases then the spatial resolution and observational area also increases. Thus, higher the sensor is place larger is the spatial resolution
The characteristics of platform depend on the type of sensor to be attached and its application.
Types of platforms: -
1.Ground-borneplatforms:
It is used to record detailed information about the ground surface which is compared with information collected from aircraft or satellite sensors. Ground observation includes both the laboratory and field study, used for both in designing sensors and identification and types of land features.
Ground observation platforms include –handheld platform, cherry picker, towers, portable masts and vehicles etc.
Spectroradiometers and Portable handheld photographic cameras are largely used in laboratory
2.Air-borne platforms:
It is used to collect detailed images and to facilitate the collection of data over virtually any portion of the ground surface at any time. Airborne platforms were the main non-ground-based platforms for early remote sensing work application.
Balloon: -
Balloons are used for remote sensing observation generally for the aerial photography and. The first aerial images captured aloft by a balloon in 1859.
Balloon floats at a constant height of about 30 km. The balloon is control by the wind at the floating height. This technique is rarely used today because they are not very stable
Drone: -
Drone is a miniature remotely piloted aircraft. It is designed for a low-cost vehicles or platform.
Drone includes equipment of photography, infrared find ion, radar observation and TV surveillance. Drone uses satellite communication link. An onboard computer controls the payload and stores data from different sensors and instruments. it was developed in Britain during World War-II, now it plays important role in remote sensing.
The different advantage is that it could be easily located above the area and it is capable to provide both night and day data.
Aircraft
Aircraft with cameras and sensors used to capture the aerial photographs and images of ground surface features. While low altitude aerial photography results in large scale images providing detailed information on the terrain, the high-altitude smaller scale images offer advantage to cover a larger area with low spatial resolution.
Multi spectral, hyperspectral and microwave imaging is also done by aircraft.
Aircraft platforms offer an economical method of remote sensing data collection for small to large areas with different tools such as cameras, electronic imagers, across-track and along-track scanners, and scanners.
The AVIRIS hyperspectral imaging is famous and widely used aircraft aerial photographic operation.
High Altitude Sounding Rockets
Balloons have a maximum altitude of approx. 37 km, while satellites cannot orbit below 120 km. High altitude sounding rockets is used to moderate altitude above terrain. Imageries with moderate synoptic view can be obtained from such rockets for areas of some 500,000 square kilometres per frame.
high altitude sounding rocket is controlled from a mobile launcher. During the flight its scanning work is done from a stable altitude.
3.Space-borne platforms:
In this platform, sensors are placed on-board a spacecraft orbiting the earth. Space-borne which is also called as satellite platform are one time cost investment but relatively lower cost per unit area of coverage, can cover imager of entire earth. the imaging ranges for space borne platforms are from altitude 250 km to 36000 km.
Spaceborne remote sensing provides the following advantages:
its coverage large area;
Frequent and repetitive coverage of an area
processing and analysis are done by Semi-automated computerized
cost is low for unit area of coverage.
There are two types of well recognized satellite platforms-manned satellite platform and unmanned satellite platform.
5.3.1 Imaging Systems (Sensors)
Remote Sensing
Remote sensing systems which measure energy that is naturally available are called passive sensors. Passive sensors are only used to find energy when the naturally occurring energy is presently over there.
Active sensors rely on their own sources of radiation for illuminating objects. The sensor emits radiation towards the target to be investigated. Then the reflected energy from that target is find out and measured by sensor.
EM energy may be finding either by photographically or electronically and the images produced by analogy or digital. examples of analogy images are Aerial photographs while examples of digital images are satellite images acquired using electronic sensors
A digital image comprises of a two-dimensional array of individual picture elements (pixels) arranged in columns and rows. Each pixel represents an area on the Earth's surface. The intensity value represents the measured physical quantity such as the solar radiance in a given wavelength band reflected from the ground, emitted infrared radiation or backscattered radar intensity. This value is normally the average value for the whole ground area covered by the pixel. The intensity of a pixel is recorded as a digital number and stored with a finite number of bits (binary digits).
most popular sensors used in passive remote sensing are the, image plane scanning sensors, camera such as TV cameras and multispectral scanners covering both track scanning systems and track scanning sensors, such as multispectral scanners such as optical-mechanical scanner and scanning microwave radiometers. An active scanning and imaging sensor can be a LIDAR or RADAR.
Many remote sensing satellites are currently their providing imagery suitable for different applications. Each sensor is defined by its wavelength bands
Sensors Characteristics: -
In terms of the spatial resolution, the satellite imaging systems can be classified into:
The visual interpretation of satellite images is a complex process. Visual interpretation is the meaning of the image content by considering the spatial and landscape pattern
Element of Remote sensing for visual interpretation and GIS
The various visual elements are as follows:
1) Tone
2) Shape
3) Size
4) Pattern
5) Texture
6) Shadow
7) Association
1) Tone- Tone is the brightness or colour of object in an image. It is the fundamental element to find out different target. Human eye can differentiate 20 to 30 shades of grey tones and more than million colours.
2) Texture-It represents arrangement of and frequency of total variation in a certain area of image.
It is also important for distinguishing features in radar imagery.
Smooth texture example such as fields, grassland.
Rough surface example such as forest.
3) Shapes-It represent outline of an object.
b) Straight edges- agricultural field.
c) Circular shape- rotating sprinkles in land.
4) Size-It is the function of scale.
b) last building represents warehouse and factory.
5)Shadow - Shadow element helps in or give an idea of relative height of target.
6)Pattern-It represents spatial arrangement of visibly discernible objects.
7)Association / site-
DIP is the use of different algorithms to do image processing on digital images. DIP help in manipulation of the digital images by using computers. Three general parts that all types of data have to undergo while using digital technique are
Digital Image: -
Digital Image is an image represented by digitally i.e., in groups of combinations bits or by pixels.
Digital Image Processing is the technology of manipulating these groups of pixels to enhance the quality of the image or to find out info from the image digitally, with the help of computer algorithms.
In simple words Digital Image Processing is called as the processing digital image by means of a digital computer. We can also say that it is a use of computer algorithms, in order to get enhanced image either to extract some useful information.
Image processing mainly include the following steps:
What is an image?
An image is defined as a two-dimensional function, i.e., function of x and y where x and y are spatial coordinates, and the amplitude of F at any pair of coordinates (x, y) is called the intensity of the point. When x, y, and amplitude values of F are finite, it is called as digital image.
Hence image can be defined by a two-dimensional array specifically arranged in rows and columns.
Digital Image is composed of a finite number of elements, these elements are given as below”-
A Pixel is most widely used to denote the elements of a Digital Image
Image processing is a method to perform some operations on an image. It is a type of signal processing with an image as input and output in the form of an image or types of associated with that image. Generally, now a day, image processing, and digital image processing at that is among rapidly growing technologies in world. It forms core research area within engineering and computer science too.
There are two types of methods used for image processing called as: -
Analogue image processing is applicable for hard copies like printouts and photographs.
digital image is a representation of a 2-D image as a finite set of digital values or called pixels.
References:
1 Madhu, N, Sathikumar, R and Satheesh Gobi, Advanced Surveying: Total Station, GIS and Remote
Sensing, Pearson India, 2006.
2 Manoj, K. Arora and Badjatia, Geomatics Engineering, Nem Chand & Bros, 2011
3 Bhavikatti, S.S., Surveying and Levelling, Vol. I and II, I.K. International, 2010 4 Chandra, A.M., Higher
Surveying, Third Edition, New Age International (P) Limited, 2002.
5 Anji Reddy, M., Remote sensing and Geographical information system, B.S.
6 Arora, K.R., Surveying, Vol-I, II and III, Standard Book House, 2015.