Ppt on remote sensing system
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Remote sensing involves gathering information about an object without direct contact. It has been used since the 1850s for aerial photography from balloons and developed further for military purposes. Satellites now allow remote sensing on a global scale. Common applications include geology, environmental monitoring, forestry, agriculture, and mapping land use. Remote sensing uses sensors that detect reflected electromagnetic radiation to form images. Key concepts include spectral signatures, spatial and spectral resolution, and multispectral imaging. Active sensors like radar and lidar also measure distance using electromagnetic pulses.
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Remote sensing and GIS techniques can be used to map minerals, oil, and groundwater. For minerals, accommodation zones between faults can localize magmatic material and mineralized fluids, and be identified in satellite images showing brecciation and fault patterns. Oil and gas exploration uses airborne magnetic and gravity surveys integrated with high resolution satellite imagery and DEMs for 3D visualization. Groundwater mapping involves literature review, image interpretation to create spatial databases, field reconnaissance, spatial analysis of data, and identifying recommended recharge structures by analyzing IRS satellite images, groundwater table maps, DEM elevation data, and resistivity curve modeling from electrical soundings.
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Remote sensing is the science of acquiring information about objects or areas from a distance, typically from aircraft or satellites. Key points of remote sensing include:
1) It allows observation and analysis of an area without direct contact, using sensors to measure electromagnetic radiation reflected or emitted from the target.
2) Remote sensing has evolved from early aerial photography to include various imaging technologies using different parts of the electromagnetic spectrum.
3) Common types of remote sensing include optical, thermal, and microwave sensors, each suited to different applications depending on wavelength.
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The document discusses remote sensing satellites. It begins by defining remote sensing as obtaining information about an object through analysis of data acquired from a distance without physical contact. There are two broad categories of remote sensing based on platforms: aerial and satellite. Satellite remote sensing has advantages like continuous data acquisition and broad area coverage. Remote sensing systems are classified based on the radiation source as passive or active, and based on spectral regions as optical, thermal infrared, or microwave. Key resolutions for remote sensing include spatial, spectral, temporal, and radiometric. Common applications are land cover mapping, change detection, flood monitoring, and more. Major satellite missions discussed are Landsat, SPOT, and IKONOS.
Remote sensing by Priyanshu kumar, 9608684800
1. The document discusses remote sensing, including its history, types, principles, stages, and applications.
2. Remote sensing involves acquiring information about an object without physical contact using propagated signals like electromagnetic radiation from aerial sensors.
3. It has military, commercial, and scientific uses such as mapping terrain and monitoring the environment.
Types of Remote Sensing.pdf
1. There are several types of remote sensing systems including visual, optical, infrared, microwave, radar, satellite, airborne, and acoustic systems.
2. Visual systems use the human eyes as sensors while optical systems use sensors to detect solar radiation reflected from the Earth to form images. Infrared systems detect infrared radiation emitted from the Earth's surface.
3. Microwave and radar systems can image the Earth day and night through clouds using radio signals, with radar providing highly accurate topographic maps. Satellite systems acquire images using sensors on orbiting platforms.
Remote Sensing.ppt
Remote sensing involves acquiring information about objects through analysis of sensor data without physical contact. The document discusses various aspects of remote sensing including:
- Platforms that carry sensors like satellites, aircraft, and space shuttles at different altitudes.
- Sensors detect electromagnetic radiation in different wavelength bands from ultraviolet to radio. Common sensors include cameras, scanners, and radar.
- Factors like the atmosphere, wavelength, and sensor design impact remote sensing. Atmospheric windows allow transmission of certain wavelengths.
- Imaging systems include push-broom scanners that use linear detector arrays and opto-mechanical scanners that use oscillating mirrors to build up images.
Remote sensing: Its Application & Types
What is remote sensing? what are its application and various types of remote sensing in detail with graphic visuals.
Remote sensing
Remote sensing involves collecting information about objects without physical contact. It was first defined in the 1960s and the first earth observation satellite, Landsat-1, was launched in 1972. Remote sensing uses sensors on airborne and spaceborne platforms to detect electromagnetic radiation reflected or emitted from the object of interest. Common platforms include aircraft, balloons, and satellites. Satellites provide global coverage and frequent revisits. Remote sensing data has various applications such as agriculture, forestry, and soil mapping.
Remote Sensing: Meaning, Concept and Components | Geography
This document provides an overview of remote sensing, including its definition, key concepts, components, and applications. In 3 sentences:
Remote sensing is defined as obtaining information about an object through analysis of data from a device not in contact with the object. It has major components including an energy source, sensors, platforms, and processing systems. Satellite remote sensing provides multispectral images that are utilized across various applications including land management, global change research, mapping, and more.
Basic Understanding of Remote Sensing.pdf
This PPT gives brief knowledge of Remote Sensing technology. It contains the definition, history and types of remote sensing.
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
India is a country that depends on agriculture. Today in this era of technological supremacy, agriculture is also using different new technologies like some robotic machinery to remote sensing and Geographical Information System (GIS) for the betterment of agriculture. It is easy to get the information about that area where human cannot check the condition everyday and help in gathering the data with the help of remote sensing. Whereas GIS helps in preparation of map that shows an accurate representation of data we get through remote sensing. From disease estimation to stress factor due to water, from ground water quality index to acreage estimation in various way agriculture is being profited by the application of remote sensing and GIS in agriculture. The applications of those software or techniques are very new to the agriculture domain still much more exploration is needed in this part. New software’s are developing in different parts of the world and remote sensing. Today farmers understand the beneficiaries of these kinds of techniques to the farm field which help in increasing productivity that will help future generation as technology is hype in traditional system of farming.
rsgis-unitii-160731062950.pdf
Lidar uses laser light to measure distances by illuminating targets. It is an active remote sensing method. The document discusses remote sensing concepts like platforms, sensors, data collection using electromagnetic radiation, and data interpretation techniques. It provides examples of Indian remote sensing satellites like Resourcesat and Cartosat, and describes their sensors and applications in areas like agriculture, mapping, and disaster management. Visual interpretation of remote sensing images involves analyzing tone, shape, size, pattern, texture, shadows, and associations of targets.
Introduction to Remote Sensing
Lidar uses laser light to measure distances by illuminating targets. It is an active remote sensing method. The document discusses remote sensing concepts like platforms, sensors, data collection using electromagnetic radiation, and data interpretation techniques. It provides examples of Indian remote sensing satellites like Resourcesat and Cartosat, and describes their sensors and applications in areas like agriculture, mapping, and disaster management. Visual interpretation of remote sensing images involves analyzing tone, shape, size, pattern, texture, shadows, and associations of targets.
Kannan RS.ppt
This document discusses various remote sensing platforms and sensors. It provides information on:
1. Airborne platforms like balloons and aircraft that are used to acquire aerial imagery and photographs. Aircraft provide regional coverage and flexibility but are affected by weather.
2. Spaceborne platforms like geo-stationary and sun-synchronous satellites. Geo-stationary satellites like GOES and INSAT are used for weather and communication due to low spatial resolution. Sun-synchronous satellites like LANDSAT, SPOT, and IRS provide global coverage with high resolution for resource surveys.
3. Different types of sensors including passive sensors like photographic and multispectral systems, and active sensors like radar. Advanced sensors include push
Remote sensing
Remote sensing involves obtaining information about objects through analysis of sensor data without physical contact. It uses electromagnetic radiation as an information carrier. The key elements of remote sensing are an energy source, interaction with the atmosphere and target, sensor recording, data transmission and processing, interpretation and analysis, and applications. Sensors can be passive, using natural radiation sources like the sun, or active, providing their own electromagnetic radiation. Remote sensing provides regional views of large areas and repetitive monitoring with benefits like multi-spectral data collection and day/night usage.
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