- "Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation."
The study of how to interpret data from remote sensing instruments, such as satellites or rovers, to learn about the geology of planets and moons.
Physics of Remote Sensing: Understanding the physical principles behind remote sensing, including electromagnetic radiation, diffraction, and scattering.
Remote Sensing Platforms and Sensors: Learn about the various platforms, including satellites, aircraft, and unmanned aerial vehicles, and the sensors used to capture remote sensing data.
Spectral Reflectance: Understand the spectrum of materials and how they reflect light, including the visible, infrared, and microwave regions.
Radiometric Calibration and Correction: Learn about how the raw remote sensing data is corrected for distortions caused by the atmosphere, terrain, and sensor characteristics.
Image Processing and Analysis: Get to know the various software tools used to process and analyze remote sensing data, including image enhancement, classification, and feature extraction techniques.
GIS and Remote Sensing Integration: Explore how remote sensing data can be integrated with other geospatial data in a Geographic Information System (GIS) environment to enhance understanding of earth processes.
Remote Sensing Applications: Discover the wide range of applications of remote sensing, including land cover mapping, resource management, environmental monitoring, and disaster management.
Radar Remote Sensing: Learn about the principles and applications of radar remote sensing, including the use of synthetic aperture radar (SAR) for mapping and monitoring.
Lidar Remote Sensing: Understand the principles and applications of Lidar remote sensing, including the use of high-resolution laser measurements for 3D mapping and monitoring.
Hyperspectral Remote Sensing: Get to know the principles and applications of hyperspectral remote sensing, including the use of multiple narrow spectral bands to identify unique features of the earth's surface.
Remote Sensing for Planetary Science: Explore the applications of remote sensing in planetary science, including the use of data from Mars and other planets to study geology and surface features.
Remote Sensing for Climate and Weather: Understand how remote sensing data is used to study climate and weather patterns, including the monitoring of atmospheric greenhouse gases and the prediction of severe weather events.
Machine Learning for Remote Sensing: Learn about the use of machine learning algorithms for analyzing and interpreting remote sensing data, including the identification of features and patterns.
Data Fusion and Multi-Sensor Remote Sensing: Understand the principles and applications of data fusion in remote sensing, including the integration of data from multiple sensors for improved interpretation and analysis.
Remote Sensing Ethics and Social Issues: Explore the social and ethical implications of remote sensing, including issues related to privacy, security, and access to data.
Optical Remote Sensing: It involves the measurement of electromagnetic radiation reflected or emitted from the surface of the earth. Different sensors such as cameras, multispectral and hyperspectral sensors are used to collect these data.
Radar Remote Sensing: Involves the measurement of electromagnetic radiation that is emitted or reflected by the target. Synthetic Aperture Radar (SAR) is used to collect these data.
Lidar Remote Sensing: Involves the measurement of the distance and properties of a target by illuminating it with light and measuring the reflected signal.
Thermal Remote Sensing: Involves the detection and measurement of thermal radiation emitted by the surface of the earth.
Hyperspectral Remote Sensing: Involves the measurement of high-resolution spectral data obtained by breaking down the electromagnetic radiation into many small spectral bands.
Gravity Remote Sensing: Involves the measurement of minute variations in the earth's gravitational field that can be used to create maps of subsurface features.
Magnetic Remote Sensing: Involves the measurement of the earth's magnetic field that can be used to create maps of subsurface features.
Radiometric Remote Sensing: Involves the measurement of the total amount of energy, or radiation, being emitted by a target.
Laser Altimetry: Measures the distance between the satellite and the surface of the earth using laser signals.
Passive Remote Sensing: Involves the measurement of natural energy emitted or reflected by the earth's surface, such as visible light, infrared radiation or thermal radiation.
Active Remote Sensing: Involves the transmission of a signal from a remote sensing platform to the target and the measurement of the reflected or backscattered signal.
Spectral Remote Sensing: Involves the measurement of the relative power or amplitude of electromagnetic radiation in different wavelength intervals.
Microwave Remote Sensing: Uses microwave frequencies to observe the earth's surface and atmosphere, and measure properties such as temperature and moisture content.
InSAR (Interferometric Synthetic Aperture Radar): The technique creates an interference pattern between radar waves to measure surface deformation or movement.
Photogrammetric Remote Sensing: This method involves analyzing photographs of Earth taken from remote sensing satellites in order to create 3D maps of terrain features.
- "Remote sensing is used in numerous fields, including geophysics, geography, land surveying, and most Earth science disciplines."
- "Exploration geophysics, hydrology, ecology, meteorology, oceanography, glaciology, geology"
- "It also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others."
- "The term remote sensing generally refers to the use of satellite- or aircraft-based sensor technologies to detect and classify objects on Earth."
- "It includes the surface and the atmosphere and oceans, based on propagated signals."
- "Active remote sensing is when a signal is emitted by a satellite or aircraft to the object and its reflection detected by the sensor." - "Passive remote sensing is when the reflection of sunlight is detected by the sensor."
- "The term is applied especially to acquiring information about Earth and other planets."
- "It includes the surface and the atmosphere and oceans, based on propagated signals (e.g. electromagnetic radiation)."
- "It may be split into 'active' remote sensing and 'passive' remote sensing."
- "Active remote sensing is when a signal is emitted by a satellite or aircraft to the object and its reflection detected by the sensor." - "Passive remote sensing is when the reflection of sunlight is detected by the sensor."
- "The term remote sensing generally refers to the use of satellite- or aircraft-based sensor technologies to detect and classify objects on Earth."
- "It includes the surface and the atmosphere and oceans, based on propagated signals (e.g. electromagnetic radiation)."
- "Exploration geophysics, hydrology, ecology, meteorology, oceanography, glaciology, geology"
- "It also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others."
- "Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation."
- "The term is applied especially to acquiring information about Earth and other planets."
- "Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object."
- "Remote sensing is used in numerous fields, including geophysics, geography, land surveying and most Earth science disciplines."
- "Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation."