Lesson 1 Flashcards
Sensor and Platform
- Sensor: the instrument use to record data
- every sensor is designed with a unique field of view defining the size of are instantaneously imaged on the ground.
- Platform: the vehicle use to deploy the sensor
Sensor Footprint
The sensor field of view combined with the height of the sensor platform above the ground determines the sensor footprint. A sensor with a very wide field of view on a high-altitude platform may have an instantaneous footprint of hundreds of square kilometers; a sensor with a narrow field of view at a lower altitude may have an instantaneous footprint of ten of square kilometers.
Resolution
- refers to the degree of fineness with which an image can be produced and the degree of detail that can be discerned.
- 4 kinds of resolution: Spatial, Temporal, Spectral, and Radiometric
Spatial resolution
- A measure of the finest detail distinguishable in an image.
- Depends on the sensor design and is often inversely related to the size of the image footprint.
- Sensors with very large footprints = low spatial resolution
- Sensors with very small footprints = high spatial resolution
- Varies from tens of kilometers per pixel to sub-meter. Spatial resolution is closely tied to Ground Sample Distance (GSD) which is the nominal dimension of a single side of a square pixel in ground units.
Temporal resolution
- Refers to the frequency at which data are captured for a specific place on the earth.
- The more frequently data they are captured by a particular sensor, the better or finer is the temporal resolution of that sensor.
- Often quoted as a “revisit time” or “repeat cycle.” Temporal resolution is relevant when using imagery or elevations datasets captured successively over time to detect changes to the landscape.
Spectral resolution
- Describes the way an optical sensor responds to various wavelengths of light.
- High spectral resolution =
- Records multiple, very narrow bands of wavelengths.
- “hyperspectral” sensor can discern and distinguish between many shades of a color, recording many gradations of color across the infrared, visible, and ultraviolet wavelengths.
- Low spectral resolution =
- the sensor records the energy in a wide band of wavelengths as a single measurement
- most common “multispectral” sensors divide the electromagnetic spectrum from infrared to visible wavelengths into four generalized bands: infrared, red, green, and blue.
Spectral signature
- The way a particular object or surface reflects incoming light can be characterized as and can be used to classify objects or surfaces within a remotely sensed scene.
- example, an asphalt parking lot, a corn field, and a stand of pine trees will have all have different spectral signatures.
- Automated techniques can be used to separate various types of objects within a scene.
- Can be misleading because it implies that distinctiveness and consistency that seldom can be observed in nature.
Radiometric resolution
- Refers to the ability of a sensor to detect differences in energy magnitude.
- Low radiometric resolution sensors - can detect only relatively large differences in the amount of energy received.
- High radiometric resolution sensor - can detect relatively small differences.
- The range of possible values of brightness that can be assigned to a pixel an image file or band is determined by the file format and is also related to radiometric resolution. In an 8-bit image, values can range from 0 - 255; in a 12-bit image, values can range from 0 - 4096; in a 16-bit image, values can range from 0 - 65536; and so on.
Difference between remote sensing images and everyday experience
- Image presentation
- Unfamiliar scales and resolutions
- Overhead views from aircraft or satellites
- Use of several regions of the electromagnetic spectrum
Remote Sensing Definition
The practice of deriving information about the earth’s land and water surfaces using images acquired from a n overhead perspective, using electromagnetic radiation in one or more regions of the electromagnetic spectrum, reflected or emitted from the earth’s surface.
Overview of Remote Sensing Process
Physical Objects - TO - Sensor Data - TO - Extracted Information - TO - Applications
Spectral Response Patterns
- Same idea as spectral signature, but less rigid of a concept.
Spectral Differentiation
- Depends on the difference in the energy reflected or emitted from feature of interested.
Multispectral Remote Sensing
- The science of observing features at varied wavelengths in an effort to derive information about these features and their distributions.
Radiometric Differentiation
- The differentiation of objects based on the brightness of the object and the feature. The scene should have contrasting brightness and the remote sensing instrument must be capable of recording this contrast.
- Backgrounds can cause a problem if the background and object don’t have high contrasting brightness.
Spatial Differentiation
- The ability to record spatial detail is influenced primarily by the choice of sensor and the altitude at which it is used to record images of the Earth.
- Landscapes vary greatly in their spatial complexity. Some may be represented clearly at coarse levels of detail and some are so complex that the finest level of detail is required to record their essential characteristics.
Pixels
The smallest areal units identifiable on the imaged.
Temporal Dimension
- The use of many images of the same region acquired over time.
- There has been a long history of using temporal dimension using sequential aerial photography, but its full value was discovered when satellite systems could systematically observe the same regions on a repetitive basis. This provided aerial images on the same platform at regular intervals which lead to temporal dimensions full potential.
Geometric Transformation
- Ideal remote sensing instrument would be able to create an image with accurate and consistent geometric relationships between points on the ground and their corresponding representations on the image. Such image could form the basis for accurate measurements of areas and distances.
Positional errors often occur caused by:
- The perspective of the sensor optics
- Motion of scanning optics
- Terrain relief
- Earth Curvature
- Some instances the locational error can be removed, but the integrity of the image can be jeopardized if it is use for measuring areas and distances and must be considered.
Role of the Atmosphere
- The sensors from the satellite must pass through a large depth of the Earth’s atmosphere to be received. This can alter the intensity and wavelength by particles and gases in the atmosphere. These changes appear on the image in ways that degrade image quality and the accuracy of interpretations.
Employers report that they seek employees who:
- Have a good background in at least one traditional discipline
- Are reliable and able to follow instructions without detailed supervision
- Can write and speak effectively
- Work effectively in teams with other in other disciplines
- Are familiar with common business practices
The American Society for photogrammetry and Remote Sensing – ASPRS
- Founded in 1934 by a small group of like-minded pioneers in a unique and emerging field.
- Today, over 7000 individuals worldwide are members.
- There are many other ways that ASPRS membership can support professional development and career advancement.
International Society for Photogrammetry and Remote Sensing - (ISPRS)
- founded in 1910
- devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications.
- National organizations, such as ASPRS, are the voting members; individuals can take part in activities, conferences, technical Working Groups, and Commissions through affiliation with one of the Member organizations.
- The ISPRS Congress, an international conference dedicated to photogrammetry and remote sensing, takes place every four years and is hosted by the home country of the elected President.
What forms the basis for photographs?
- The sun provides a source of radiation that passes through the atmosphere before reaching the earth’s surface. Some radiation is reflected upward from earth’s surface which forms the basis for photographs and similar images. Other radiation is absorbed at the surface and is then reradiated as thermal energy.
- Man-mad radiation generated by imaging radars is also used for remote sensing
Wavelength of ER
- The distance from one wave crest to the next.
- Can be measured in everyday units of length, although very short wavelengths have such small wave crest that extremely short measurement units are required.
Frequency of ER
- Measured as the number of crests passing a fixed point in a given period of time.
- Often measured in hertz, units each equivalent to one cycle per second.
Amplitude of ER
- The height of each peak.
- Often measured as energy levels (spectral irradiance), expressed as watts per square meter per micrometer.
Phase of a waveform
- The extent to which the peaks of one waveform align with those of another.
- If two waves are aligned, they oscillate together and are said to be “in phase” (phase shift of 0 degrees).
- If a pair of waves are aligned such that the crests match with the troughs, they are said to be “out of phase” (phase shift of 180 degrees)
- Measured in angular units (degrees or radians)
Ultraviolet Spectrum
- A zone of short-wavelength radiation that lies between the X-ray and the limit of human vision regions.
- Sometimes is subdivided into near ultraviolet, far ultraviolet, and extreme ultraviolet.
- Region discovered in 1801 by German scientist Johann Wilhelm Ritter.
- Ultraviolet means “beyond the violet” designating it as the region just outside of violet region, the shortest wavelengths visible to human eye.
- Near ultraviolet is known to induce fluorescence, emission of visible radiation, in some materials.
- Ultraviolet radiation is easily scattered by the Earth’s atmosphere, so it is not generally used for remote sensing of earth’s materials.