A New Definition of Geography:

A New Definition of Geography:

The science of analyzing the   spatial distribution of Geospatial phenomena  in a point to point fashion  and discovering the hidden behavior of phenomena through transforming the polygon to points.

 

Saeed Javizadeh,2019

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The quality of digital elevation models

The quality of digital elevation models

The high digital qualities are attributed to its ability to adapt to the natural terrain. In fact, the greater the adaptation, the better the digital model. Often the quality of digital models is measured by measuring the accuracy of the elevation and its flatness, while other parameters such as the degree of timing also play a major role in the quality of the digital elevation models.

There are three categories of errors to consider in a DTM:

Random errors
Systematic errors
Big mistakes) mistakes)
Each of these errors could be due to one of the following: Shi et. AL, 2014))

Errors in the primary data from which the DEM originated.
Errors related to the devices from which this data was collected.
Human errors that occur during the process of obtaining primary data.
Errors arising from the models used in the various stages of processing performed on the primary data to convert them to DEM
Random Errors

These errors are due to the observational error of a single quantity that does not follow any specific law and follows the normal distribution. Low pass filters are often used to reduce their impact

Systematic errors

These errors often follow a specific pattern and are due to the lack of adjustment of the measuring instruments or the climatic and climatic conditions of the measurements. To eliminate the effects of these errors, most error patterns are identified and completely eliminated using specific mathematical models. Since a wide range of tools and methods can be employed in gathering the information needed to prepare a DEM, it is important to have a thorough knowledge of the methods and tools used in the process of preparing it.

Big mistakes (mistakes)

These errors, which occur in small quantities, are often caused by human error in the measurement or recording of information and can be identified and resolved by computational algorithms. Numerous methods for error detection have been presented so far, one of the most effective being proposed by Li (1990) based on the definition of a threshold for slope variations at each point. Li et.AL, 2004))

 

Read more in Leidar Data Processing Book

Authors Saeid Joyzadeh, Manijeh Brahimi, Mojgan Sadeghat

Phone Book Order: 09382252774 - 07132341477

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