- "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."
Introduction to the use of aerial and satellite imagery to study and analyze geographic phenomena.
Electromagnetic Spectrum: Understanding of the different wavelengths of electromagnetic radiation and their interaction with matter.
Radiometry: Study of the principles of measuring radiation and their application in remote sensing.
Spectral Signatures: The unique spectral response of different land features which can be identified by remote sensing.
Remote Sensing Platforms: Different types of remote sensing platforms such as airborne and satellite platforms, and their advantages and limitations.
Image Interpretation: Methods of analyzing remotely sensed images, including visual and digital interpretation techniques.
Remote Sensing Sensors: Types of remote sensing sensors such as passive and active sensors, and their application in collecting data.
Geometric Correction: The process of aligning and scaling remotely sensed images to their actual location on the Earth's surface.
Classification Techniques: Methods of categorizing and identifying land features using remotely sensed data.
Remote Sensing Applications: Practical applications of remote sensing technology such as environmental monitoring, urban planning, and agriculture.
GIS Integration: Integration of remote sensing data with other spatial data within a Geographical Information System (GIS).
Image Enhancement: Techniques used to improve the quality of remotely sensed images such as contrast adjustment and image sharpening.
Data Analysis: Methods used to analyze and interpret remote sensing data, including statistical techniques and machine learning algorithms.
Terrain Mapping: The use of remote sensing to create detailed topographic maps and to identify features such as slopes, valleys, and ridges.
Hyperspectral Imaging: A advanced variety of remote sensing which collects data across a wider spectrum of wavelengths than basic remote sensing.
Lidar: The use of lasers to measure the distance between the Earth's surface and a sensor, allowing the creation of 3D maps of terrain or structures.
Thermal Imaging: The use of remote sensing to capture and interpret heat energy emitted from the Earth, potentially indicating features like fire or volcanic activity.
Ocean Color Remote Sensing: The use of remote sensing to measure the color of water, indicating the concentration of substances such as chlorophyll or organic material.
Photogrammetry: The use of photography to create maps, measurements or 3D models of a physical subject, often used in combination with remote sensing data.
Accuracy Assessment: Analysis and adjustment of remote sensing results to ensure accuracy in analysis and measurement.
Land Use Land Cover Change: The use of remote sensing to track long-term changes in land use, including factors like deforestation or urbanization.
Passive Remote Sensing: Passive remote sensing refers to the detection of energy emitted or reflected from an object without the use of an additional energy source. It measures radiation from the sun reflected by the earth and its atmosphere. Examples of passive remote sensing include satellite imagery and thermal imaging.
Active Remote Sensing: Active remote sensing involves the use of a radio wave, laser, or radar to transmit a signal towards an object and then measure the return signal that is reflected back. Examples of active remote sensing include radar imagery, sonar, and lidar.
Electromagnetic Spectrum: The Electromagnetic Spectrum refers to the range of frequencies of radiation that can be classified by wavelength. This spectrum includes radio waves, microwaves, infrared, visible light, ultraviolet, X-rays, and gamma rays.
Multispectral Remote Sensing: Multispectral remote sensing involves the use of sensors that measure energy in several discrete bands of the electromagnetic spectrum. This type of remote sensing is useful for measuring the reflectance of different objects, such as vegetation or water, in different spectral bands.
Hyperspectral Remote Sensing: Hyperspectral remote sensing refers to the measurement of energy in hundreds or even thousands of very narrow and contiguous spectral bands.
Thermal Remote Sensing: Thermal remote sensing involves the measurement of the temperature of objects in the environment by detecting the energy they emit in the infrared region of the spectrum.
Lidar: Lidar is an active remote sensing technique that uses laser light to pulse the surface of the earth and measure the time required for the reflected signal to return to the sensor. This technique can be used to measure distances and create three-dimensional models of the environment.
Radar: Radar is an active remote sensing technique that involves the transmission of radio waves to detect objects and measure their position and velocity.
Sonar: Sonar is an active remote sensing technique that uses sound waves to measure the depth and physical characteristics of objects in water.
Photogrammetry: Photogrammetry is a remote sensing technique that involves the use of photographic images to measure distances and create three-dimensional models of objects and landscapes.
- "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."