- "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 use of satellite imagery and other forms of remote sensing data to study the earth's surface.
Basics of Remote Sensing: Understanding the principles of remote sensing and the electromagnetic spectrum, types of remote sensing platforms, sensors, and data.
Image Interpretation: Techniques required to interpret remote sensing images, including image enhancement, feature extraction, and image classification.
Spectral Signatures: Learning about the spectral signatures of different objects or land covers like vegetation, water bodies, and minerals.
Spatial Resolution: Understanding the impact of spatial resolution on remote sensing data and the interpretation of images with different spatial resolutions.
Temporal Resolution: Understanding the importance of temporal resolution of remote sensing data and extracting useful information regarding vegetation growth, changes in land use, and natural disasters.
Radiometric Calibration: Understanding the importance of radiometric calibration of remote sensing data to enhance the accuracy of image interpretation.
Geographic Information Systems (GIS): Learning about the integration of remote sensing data with GIS software to map, analyse and model geographic phenomena.
Applications of Remote Sensing: From land use planning, environmental monitoring, disaster management, and natural resource management to climate change studies, remote sensing has numerous practical applications.
Digital Elevation Models (DEMs): Understanding how DEMs are used in remote sensing applications, how they are created from Digital Terrain Models (DTMs) and 3D point clouds and how they are used to make topographic maps.
Synthetic Aperture Radar (SAR): Understanding the principles of SAR and its applications in remote sensing to capture images during the day or the night, independently on weather conditions.
Lidar Technology and Applications: Understanding the principles of Lidar technology and its applications in remote sensing to create 3D digital elevation models of the Earth's surface.
Hyperspectral Remote Sensing: Learning about hyperspectral remote sensing, a technique that includes a dozen or more spectral bands and enables fine-scale differentiation between different targets, such as soil types, vegetation species, or mineralogy.
Remote Sensing for Urban and Regional Planning: Understanding how remote sensing data is used in urban and regional planning to map, monitor, and manage urban land use, transportation networks, utilities, etc.
Remote Sensing for Agriculture: Understanding how remote sensing techniques are used in agriculture to monitor crop yields, soil moisture, and vegetation health, among others.
Remote Sensing for Forest and Wildlife Management: Understanding how remote sensing techniques are used for forest resource mapping, wildlife habitat mapping, and wildlife population studies.
Remote Sensing for Coastal and Ocean Studies: Understanding how remote sensing techniques are used in coastal zone mapping, oil spills, monitoring ocean currents, and other marine applications.
Remote Sensing for Climate Change Studies: Understanding how remote sensing data is used in climate change studies to monitor changes in the Earth's surface, atmospheric composition, and the carbon cycle.
Remote Sensing for Mining and Exploration: Understanding how remote sensing can be used in mining and mineral exploration to identify mineral resources, detect environmental impacts and manage post-mining landscapes.
Remote Sensing for Oil and Gas Exploration: Understanding how remote sensing can be used during oil and gas exploration to detect hydrocarbons, identify potential drilling locations, and monitor environmental impacts.
Remote Sensing for Disaster Management: Understanding how remote sensing can be used for disaster management, including emergency response, damage assessment, and post-disaster recovery planning.
Active Remote Sensing: In this type of remote sensing, the sensor emits its own source of energy, such as radar or lidar, and measures the reflection or backscatter of this energy from the targets on the earth's surface.
Passive Remote Sensing: In passive remote sensing, sensors record the natural radiation that is emitted or reflected from the earth's surface or the atmosphere, such as thermal infrared, visible, and ultraviolet light.
Multispectral Remote Sensing: Multispectral remote sensing measures the reflected energy from the earth's surface at multiple wavelengths, usually divided into bands of specific wavelength ranges.
Hyperspectral Remote Sensing: Hyperspectral remote sensing captures and analyzes the reflected energy from the earth's surface at hundreds of narrow and contiguous spectral bands, resulting in detailed and high-resolution data.
Thermal Imaging: Thermal remote sensing uses sensors that measure the amount of heat or radiation energy emitted from the earth's surface, which is used to map thermal properties and detect thermal anomalies.
LiDAR: LiDAR (Light Detection and Ranging) remote sensing uses laser pulses to measure the distance and elevation of features on the earth's surface, which produces high-resolution and 3D maps of landscapes.
Radar Remote Sensing: Radar remote sensing uses radio waves to detect the location, size, and motion of objects on the earth's surface, which can penetrate through clouds and vegetation.
GPS Remote Sensing: GPS (Global Positioning System) remote sensing uses signals from GPS satellites to measure the surface location, elevation, and velocity of objects on the earth's surface.
Photogrammetry: Photogrammetry uses aerial or satellite photographs to measure the size, height, and position of objects on the earth's surface, which can be used for creating maps and 3D models.
Sonar: Sonar remote sensing uses sound waves to measure the depth, shape, and density of features beneath the surface of water bodies, such as ocean floors and riverbeds.
- "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."