Eyes in the sky and data analysis
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Remote sensing involves collecting data about objects without direct contact using platforms like satellites. It relies on three factors: the platform, energy source, and sensor. Data is collected through passive sensing using reflected energy or active sensing using emitted energy. Aerial photography is an important method that provides overlapping images for stereo viewing. Satellite remote sensing uses sensors on satellites to gather data. Various satellites like LANDSAT and SPOT are used for applications including weather monitoring, agriculture, geology and urban planning. Geographic information systems (GIS) allow analyzing and visualizing spatial data through layers and maps. GIS is used for tasks such as network analysis, overlay analysis and thematic studies. Global satellite navigation systems like GPS provide positioning data worldwide for applications in transportation
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The document provides an introduction to the Global Positioning System (GPS). It discusses the history and components of GPS, including how GPS satellites transmit position and time data to receivers, which then calculate location details. GPS was developed by the US Department of Defense and launched its first satellites in 1978. It became fully operational in 1995 and accessible to all users in 2000. The system includes space, user, and ground control segments. It allows devices to determine their precise location using signals from multiple satellites.
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Remote sensing involves obtaining information about objects without physical contact. It works by recording electromagnetic energy reflected or emitted from objects using sensors on platforms like satellites and aircraft. The data collected is then analyzed to provide information about the object. Common uses of remote sensing include monitoring agriculture, natural resources, and weather patterns from space.
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Remote sensing involves obtaining information about objects through analysis of sensor data without physical contact. It uses electromagnetic radiation as an information carrier. Key elements include an energy source, sensors to record energy interactions with objects, and transmission/processing of sensor data. Platforms can be ground, airborne, or space-based. Remote sensing provides regional views over broad portions of the electromagnetic spectrum and geo-referenced digital data. Applications include weather forecasting, mapping, monitoring vegetation/soils in agriculture, assessing water resources, and disaster control.
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Eyes in the sky and data analysis
- 1. Eyes in the sky &Eyes in the sky & Data analysisData analysis You seeYou see
- 2. Remote sensing is the method of collecting information about an object,place or phenomenon with the aid of satellite without actual physical contact Remote sensingRemote sensing
- 3. Platform The surface on which the camera or scanner for data collection is placed as platform 3 Factors3 Factors 1 Platform 2 Energy 3 Sensor
- 4. Remote Sensing 3 factors3 factors 1 platform 2 energy 3 sensor
- 7. Active Remote Sensing Passive Remote Sensing
- 10. Aerial Remote sensing Overlap Stereo pair Stereoscope Stereo scopic vision
- 12. Limitations of aerial photographs
- 13. Satellite Remote sensing Is the process of gathering information using the sensors mounted on satellites
- 14. Geostationary satellites & Sun synchronous satellites
- 17. LISS- Linear imaging self scanning system PAN -Panchromatic camera Wifs – Wide field sensor MSS- Multi spectral scanner
- 18. METSAT- Meteorological satellite LANDSAT – Land resources technology satellite SPOT – (FRENCH) Satellite pour observation de la Terre MOS – Marine observation satellite ERS – European remote satellite
- 19. Spectral signature The amount of energy reflected by each object is its spectral signature
- 20. Spatial resolution The size of smallest object on earth that can be recognized by the sensor is the spatial resolution Spectral band Radio metric sensitivity
- 22. Uses of remote sensing For weather observations For ocean explorations For oil explorations To locate places with ground water potential
- 24. Geographical Information System UC Vahid
- 26. SIHSS Ummathur 11degree 43'N 75 degree 38'
- 27. 2 kinds of data Spatial data Attributes
- 29. Layers
- 30. Take text book page no; 103 make layers and select
- 31. Analytical capabilities of GIS Network analysis Buffer analysis Overlay analysis
- 34. Uses of GIS WE CAN COMPILE DATA FROM DIFFERENT SOURCES Update and incorporate data easily Conduct thematic studies Represent geographical features spatially Prepare maps,tables,and graphs Generate visual models of future phenomena &process based on the data collected
- 35. Satellite based Navigation System Global Positioning System -GPS-USA
- 36. 1- latitude 2- longitude 3- elevation 4- time
- 37. The Space segment Consists of at least 24 satellites (21 active plus 3 operating spares) 1 Orbit 4 satellites 6 x 4 = 24
- 39. Indian Regional Navigation Satellites System IRNSS 1A Last irnss 1G 2016 APRIL 16 IRNSS(NAVIC) 1A,1B,1C,1D,1E,1F,1G.
- 40. GLONESSS & GALILEO RUSSIA EUROPEAN UNION
- 41. Compares different methods of remote sensing Classifies remote sensing on the basis of platform Explains the importance of overlap in aerial photographs List the merits and demerits of aerial remote sensing Compares the geostationary and sun synchronous satellites List the sectors where the RST is used Explains GIS analysis List the use of Gis EXPLAIN VARIOUS satellite navigation system The Learner U C VAHID 9447820303 ucvahid@gmail.com