Advanced Remote Sensing and Instrumentation
Expert-defined terms from the Postgraduate Certificate in Astrophysical Engineering course at HealthCareCourses (An LSIB brand). Free to read, free to share, paired with a professional course.
Absorption refers to the process by which a substance takes in energy fro… #
In the context of advanced remote sensing, absorption is a critical concept, as it affects the accuracy of data collection and interpretation. For instance, when using hyperspectral imaging to analyze the chemical composition of a target, absorption of certain wavelengths by the atmosphere or the target itself can impact the quality of the data obtained.
Active Remote Sensing involves the emission of energy towards a ta… #
This technique is commonly used in applications such as lidar and radar, where the distance and properties of the target are determined by analyzing the returned signal. Active remote sensing offers several advantages, including the ability to collect data at night or in conditions of low visibility, as well as providing high-resolution images and accurate distance measurements.
Aerial Photography refers to the process of taking photographs from an <b… #
This technique has been widely used in remote sensing applications, such as mapping and monitoring of environmental changes, agricultural management, and urban planning. Aerial photography can provide high-resolution images with excellent spatial detail, but it is often limited by weather conditions and the cost of aircraft operations.
Airborne LiDAR is a type of active remote sensing that uses laser … #
This technique is commonly used in applications such as topographic mapping, forestry management, and urban planning. Airborne LiDAR offers several advantages, including high accuracy and resolution, as well as the ability to collect data in a variety of environmental conditions.
Albedo refers to the measure of the reflectivity of a surface, typically… #
In the context of remote sensing, albedo is an important concept, as it affects the appearance of a target in images and can be used to infer information about the physical properties of the surface. For example, snow and ice have high albedo values, while vegetation and water have lower albedo values.
Anisotropy refers to the property of a surface or material that exhibits… #
In remote sensing, anisotropy can affect the accuracy of data collection and interpretation, particularly when using optical or infrared sensors. For instance, brdf (bidirectional reflectance distribution function) models are used to account for the anisotropic behavior of surfaces in remote sensing applications.
Aperture refers to the opening of a lens or instrument that… #
In remote sensing, aperture is an important parameter, as it affects the resolution and sensitivity of the instrument. For example, a larger aperture can provide higher resolution and sensitivity, but may also increase the size and weight of the instrument.
Atmospheric Correction refers to the process of removing or compensati… #
The atmosphere can absorb or scatter radiation, affecting the accuracy of data collection and interpretation. Atmospheric correction is typically performed using models or algorithms that account for the optical properties of the atmosphere and the wavelength of the radiation being measured.
Backscatter refers to the scattering of radiation back towards the… #
In remote sensing, backscatter can provide valuable information about the properties of a target, such as its texture or composition. For example, radar systems often use backscatter to detect and characterize targets, such as precipitation or vegetation.
Band refers to a specific wavelength or range of wavelengths in th… #
In remote sensing, bands are often used to select specific wavelengths or ranges of wavelengths that are sensitive to particular features or properties of a target. For example, the visible band is often used to detect vegetation or water, while the infrared band is often used to detect temperature or heat signatures.
Binary Thresholding is a technique used in remote sensing to segment</… #
This technique involves converting the image into a binary format, where pixels are assigned a value of 0 or 1 based on whether they are above or below the threshold value. Binary thresholding is often used in applications such as object detection or change detection.
Calibration refers to the process of adjusting or correcting the <… #
Calibration is often performed using reference targets or standards, and involves adjusting parameters such as gain or offset to match the expected response. Calibration is critical in remote sensing, as it affects the accuracy and reliability of the data collected.
Classification refers to the process of assigning a label or ca… #
Classification is often performed using algorithms or models that analyze the spectral or spatial properties of the image. Classification is a critical step in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Convolution refers to the process of applying a kernel or filte… #
Convolution is often used in remote sensing to improve the resolution or quality of an image, or to detect specific features such as edges or textures. Convolution is a powerful tool in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Data Fusion refers to the process of combining or integrating mult… #
Data fusion is often used in remote sensing to combine data from different sensors or platforms, such as optical and radar data. Data fusion can provide a more comprehensive understanding of the environment or target being studied.
Diffuse Reflection refers to the scattering of radiation in multip… #
In remote sensing, diffuse reflection can provide valuable information about the properties of a target, such as its texture or composition. For example, multispectral and hyperspectral imaging often use diffuse reflection to detect and characterize targets, such as vegetation or minerals.
Digital Elevation Model (DEM) refers to a three #
dimensional representation of the terrain or surface of the Earth. DEMs are often created using remote sensing data, such as lidar or stereophotogrammetry, and can provide valuable information about the topography and geometry of the environment. DEMs are widely used in applications such as mapping, planning, and emergency response.
Electromagnetic Spectrum refers to the range of wavelengths of … #
The electromagnetic spectrum is a critical concept in remote sensing, as it provides the framework for understanding the interaction between matter and radiation.
Emitter refers to a source of radiation , such as a lamp or… #
In remote sensing, emitters are often used to illuminate a target or scene, allowing for the detection and characterization of specific features or properties. For example, lidar systems often use a laser emitter to illuminate the terrain or targets.
Feature Extraction refers to the process of identifying and extracting… #
Feature extraction is often performed using algorithms or models that analyze the spectral or spatial properties of the data. Feature extraction is a critical step in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Geocoding refers to the process of assigning geographic coordin… #
Geocoding is often performed using reference data or maps, and involves transforming the image or data into a geographic reference system. Geocoding is critical in remote sensing, as it allows for the integration of data from different sensors or platforms.
Georeferencing refers to the process of assigning geographic co… #
Georeferencing is often performed using reference data or maps, and involves adjusting the image or data to match the geographic coordinates of the area being studied. Georeferencing is critical in remote sensing, as it allows for the integration of data from different sensors or platforms.
Hyperspectral Imaging refers to the process of collecting and analyzin… #
Hyperspectral imaging is often used in remote sensing to detect and characterize specific features or properties of a target, such as minerals or vegetation. Hyperspectral imaging can provide a high level of spectral resolution, allowing for the identification of specific materials or features.
Image Processing refers to the process of enhancing or transforming</b… #
Image processing involves a range of techniques, including filtering, thresholding, and classification. Image processing is a critical step in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Infrared Radiation refers to the range of wavelengths in the el… #
Infrared radiation is often used in remote sensing to detect and characterize temperature or heat signatures, such as those emitted by objects or surfaces. Infrared radiation can be divided into several sub-bands, including near-infrared, short-wave infrared, and thermal infrared.
Lidar (Light Detection and Ranging) refers to a remote sensing techniq… #
Lidar is often used in applications such as topographic mapping, forestry management, and urban planning. Lidar can provide high-resolution data with excellent accuracy and precision, making it a valuable tool in remote sensing.
Microwave Radiation refers to the range of wavelengths in the e… #
Microwave radiation is often used in remote sensing to detect and characterize features or properties of a target, such as precipitation or soil moisture. Microwave radiation can be divided into several sub-bands, including passive microwave and active microwave.
Multispectral Imaging refers to the process of collecting and analyzin… #
Multispectral imaging is often used in remote sensing to detect and characterize specific features or properties of a target, such as vegetation or minerals. Multispectral imaging can provide a moderate level of spectral resolution, allowing for the identification of specific materials or features.
Object #
Based Image Analysis (OBIA) refers to a technique used in remote sensing to analyze and interpret images based on objects or features rather than pixels. OBIA involves segmenting the image into objects or regions, and then analyzing the properties of these objects to extract meaningful information. OBIA is a powerful tool in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Orthorectification refers to the process of correcting a remote sensing <… #
Orthorectification involves transforming the image into a map projection, which provides a more accurate representation of the terrain or features being studied. Orthorectification is critical in remote sensing, as it allows for the integration of data from different sensors or platforms.
Passive Remote Sensing involves the detection of radiation that is… #
Passive remote sensing is often used in applications such as multispectral and hyperspectral imaging, where the reflection or emission of radiation by the target is used to detect and characterize specific features or properties.
Photogrammetry refers to the science and technology of extracti… #
Photogrammetry involves the use of mathematical models and algorithms to analyze the geometry of the image and extract meaningful information. Photogrammetry is widely used in remote sensing, as it allows for the creation of high-resolution maps and models of the terrain or features being studied.
Radiative Transfer refers to the process by which energy is transferre… #
Radiative transfer is a critical concept in remote sensing, as it affects the interaction between matter and radiation. Radiative transfer models are often used to simulate the behavior of radiation as it interacts with the atmosphere or a target.
Radar (RAdio Detection And Ranging) refers to a remote sensing techniq… #
Radar is often used in applications such as weather forecasting, terrain mapping, and target detection. Radar can provide high-resolution data with excellent accuracy and precision, making it a valuable tool in remote sensing.
Reflectance refers to the amount of radiation that is reflected… #
Reflectance is a critical concept in remote sensing, as it affects the appearance of a target in an image and can be used to infer information about the physical properties of the surface or material. For example, multispectral and hyperspectral imaging often use reflectance to detect and characterize specific features or properties of a target.
Remote Sensing refers to the acquisition of information about an <… #
Remote sensing involves the use of sensors or instruments to detect and measure radiation or other phenomena that are emitted or reflected by the object or environment. Remote sensing is widely used in applications such as environmental monitoring, agricultural management, and urban planning.
Resolution refers to the ability of a remote sensing instrument to… #
Resolution is a critical concept in remote sensing, as it affects the quality and accuracy of the data collected. Resolution can be expressed in terms of spatial resolution, spectral resolution, or temporal resolution.
Sensor refers to a device or instrument that is used to detect<… #
Sensors are often used in remote sensing to collect data about an object or environment. Sensors can be classified into different types, including passive sensors, which detect radiation that is emitted or reflected by the object or environment, and active sensors, which emit radiation towards the object or environment and measure the reflected or scattered signal.
Signal Processing refers to the techniques and algorithms used to… #
Signal processing involves a range of techniques, including filtering, transformations, and feature extraction. Signal processing is a critical step in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Spectral Signature refers to the unique pattern of reflectance<… #
Spectral signatures are often used in remote sensing to identify and characterize specific features or properties of a target. For example, vegetation has a unique spectral signature that can be used to detect and map its presence and health.
Spatial Autocorrelation refers to the tendency of values or fea… #
Spatial autocorrelation is a critical concept in remote sensing, as it affects the analysis and interpretation of data. Spatial autocorrelation can be used to identify patterns or trends in the data, and to predict the behavior of features or phenomena.
Spatial Resolution refers to the ability of a remote sensing instrumen… #
Spatial resolution is a critical concept in remote sensing, as it affects the quality and accuracy of the data collected. Spatial resolution can be expressed in terms of the size of the pixel or the distance between samples.
Stereophotogrammetry refers to the technique of creating three #
dimensional models from overlapping images. Stereophotogrammetry involves the use of mathematical models and algorithms to analyze the geometry of the images and extract meaningful information. Stereophotogrammetry is widely used in remote sensing, as it allows for the creation of high-resolution maps and models of the terrain or features being studied.
Supervised Classification refers to a technique used in remote sensing to… #
Supervised classification involves the use of algorithms or models that are trained on a labeled dataset, and then applied to a new dataset to classify the pixels or features. Supervised classification is a powerful tool in remote sensing, as it allows for the extraction of meaningful information from the data collected.
Target refers to the object or feature being studied or observe… #
Targets can be natural or man-made, and can range from small objects to large areas or features. Targets are often characterized by their spectral or spatial properties, which can be used to identify and analyze them.
Thermal Infrared Radiation refers to the range of wavelengths in t… #
Thermal infrared radiation is often used in remote sensing to detect and characterize temperature or heat signatures, such as those emitted by objects or surfaces. Thermal infrared radiation can be used to monitor climate change, track weather patterns, or detect heat signatures from industrial or agricultural activities.
Training Data refers to a dataset that is used to train or cali… #
Training data is often collected in the field or through experimentation, and is used to develop and validate the model or algorithm. Training data is critical in remote sensing, as it affects the accuracy and reliability of the model or algorithm.
Unsupervised Classification refers to a technique used in remote sensing… #
Unsupervised classification involves the use of algorithms or models that can identify patterns or structures in the data without prior knowledge of the classes or labels. Unsupervised classification is a powerful tool in remote sensing, as it allows for the discovery of new patterns or features in the data.
Visible Light refers to the range of wavelengths in the electro… #
Visible Light refers to the range of wavelengths in the electromagnetic