Remote Sensing an der TU München

Karteikarten und Zusammenfassungen für Remote Sensing an der TU München

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Lerne jetzt mit Karteikarten und Zusammenfassungen für den Kurs Remote Sensing an der TU München.

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

Which are the fundamental differences between active and passive RS systems?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What are the main branches in RS? Explain their differences

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What do you understand under the term “resolution” in remote sensing? Briefly describe the different types.

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What is an “atmospheric window”? Why is it important for RS?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

Which is the advantage of a multi spectral data set?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

A) How do you calculate a stripe width ?


B) How do you calculate # pixels necessary to cover an area?


C) How do you calculate image scale?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What are the 5 signatures and how are they ranked?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What are the types of classification?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

Define remote sensing

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

Where does RM has its roots?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What are the main branches of remote sensing?

Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

What is the visible spectrum?

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Beispielhafte Karteikarten für Remote Sensing an der TU München auf StudySmarter:

Remote Sensing

Which are the fundamental differences between active and passive RS systems?

  • Active sensors
    - provide their own energy source for illumination. The sensor emits radiation which is
    directed toward the target to be investigated.
    - possible to obtain measurements any time, regardless of the time of day or season.
    - examining wavelengths that are not sufficiently provided by the sun, such as microwaves
     - better control the way a target is illuminated 
  • Passive Sensors
    - measure energy that is naturally available
    - can be detected day or night, as long as the amount of energy is large enough to be
    recorded
     - not penetrating clouds

Remote Sensing

What are the main branches in RS? Explain their differences

  • Photogrammetry --> object detection
    - object detection and evaluation
    - location, format, size can be reconstructed
     - based on geometrical and mathematical relations between the sensor and the objects
  • Thematic RS --> image interpretation
    - interpretation of composition
    - based on the 5 signatures (spectral, textual, angular, temporal, polarization)
     - objects and object classes should be identified and their structure should be determined 

Remote Sensing

What do you understand under the term “resolution” in remote sensing? Briefly describe the different types.

It's the smallest change that an specific sensor can detect in the quantity that it is measuring.

  1. Spectral resolution:  describes the ability of a sensor to define fine wavelength intervals.
  2. Geometric or spatial resolution: is defined by the smallest detail resolved on the ground

 ->usually understood as “resolution”.  

  1. Radiometric resolution: photon count sensitivity; describe the actual information content in an image
  1. Temporal resolution: repeat frequency at which the sensor can register new images of the same ground segment.

Remote Sensing

What is an “atmospheric window”? Why is it important for RS?

The range of EM energy frequencies/areas of the EM spectrum which are not severely influenced by atmospheric absorption and thus can reach the Earth - the "window" through which the interaction between objects and radiation can be measured. 

  • RS only possible with the wavelength that pass through in the atmospheric window. 
  • By comparing the characteristics of the two most common energy/radiation sources (the sun and the earth) with the atmospheric windows available to us, we can define those wavelengths that we can use most effectively for remote sensing. 

Remote Sensing

Which is the advantage of a multi spectral data set?

- detect and register radiation in multiple wavelengths between the visible till the thermal regions --> each is recorded w/ a diff digital number (DN)

- more DN = higher resolution = more info can be extracted from data

bonus: multispectral data sets are what allow the creation of signatures.

Remote Sensing

A) How do you calculate a stripe width ?


B) How do you calculate # pixels necessary to cover an area?


C) How do you calculate image scale?

A) resolution (in meters) * # detector elements = width (in meters)


B) area/resolution^2 (make sure they have the same units)


C) distance map scale / distance aerial photo

Remote Sensing

What are the 5 signatures and how are they ranked?

There are 5 major signature in remote sensing, ranked from highest information carrier to lowest:
1) Spectral: Spectral signature is the variation of reflectance or emittance of a material with respect to wavelengths
2) Angular: direction dependent signature (plant architecture, canopy structure)
3) Textural: the repetition of a pattern over a limited region.
4) Polarization: polarization is the orientation of the electric field (vertical and horizontal)

5)Temporal:  describe the change in the spectral, direction-dependent (angular), textural and / or polarization-dependent signatures between two or more recording times

Remote Sensing

What are the types of classification?

Unsupervised: pixels are assigned to a class on base of homogeneity criteria (cluster analysis)


Supervised: thematic classes are defined  and training areas are delineated by the operator by visual interpretation

Remote Sensing

Define remote sensing

1978: Acquiring and/or evaluating information on an object or phenomenon without physical contact.

--> restricted to methods that employ electromagnetic energy


2005: the practice of obtaining data on a target, using distantly placed detection devices

Remote Sensing

Where does RM has its roots?

ca. 300 BC: Aristoteles --> philosophic "discurs" about the nature of light

Remote Sensing

What are the main branches of remote sensing?

Photogrammetry = object detection and measurement

  • Main goal: to reconstruct location, form and size 
  • based on geometric and mathematic relation between registration and objects 


Thematic Remote Sensing: image interpretation

  • Main goal: to identify objects and object classes as well as their status
  • based on spectral, textural, angular, temporal, polarisation signatures

Remote Sensing

What is the visible spectrum?

waves that are visible to human eye --> that how we "see" colors


Approx:

  • Blue: 0.4 - 0.5 µm
  • Green: 0.5 - 0.6 µm
  • Red: 0.6 - 0.7 µm

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