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Fr34k

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S(r)=ln(P(r)r^2/(P(r0)r0^2)), where r is distance in atmosphere and P is intensity of detected light.

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- Thread starter Fr34k
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In summary, the conversation is about a formula, S(r), which is defined as ln(P(r)r^2/(P(r0)r0^2)), where r represents distance in the atmosphere and P is the intensity of detected light. The formula is commonly used in atmospheric research and lidar. However, none of the speakers in the conversation are able to fully explain the meaning and purpose of the formula. The Electro-Optic handbook, volume 6, is recommended as a resource for further understanding. The equation is suspected to relate to the propagation loss and spread of a Gaussian beam through the atmosphere, but it is not mentioned in the book. The conversation ends with one speaker mentioning that the formula is often seen in research papers, but

- #1

Fr34k

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S(r)=ln(P(r)r^2/(P(r0)r0^2)), where r is distance in atmosphere and P is intensity of detected light.

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- #2

Fr34k

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Anyone know of a good book on the subject (lidar, atmosphere research ...) where this might be explained.

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Fr34k

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- #5

pmacias

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Lidar (Light Detection and Ranging) is a remote sensing technology that measures the distance to an object or surface by emitting a laser pulse and measuring the time it takes for the pulse to return. This s-Function is a mathematical representation of the lidar signal and is used to calculate the intensity of the detected light at a certain distance in the atmosphere.

The s-Function is defined as S(r)=ln(P(r)r^2/(P(r0)r0^2)), where r is the distance in the atmosphere and P is the intensity of the detected light. This function takes into account the distance traveled by the laser pulse and the attenuation of the light as it travels through the atmosphere.

The s-Function is important because it allows scientists to accurately measure the intensity of the detected light at different distances in the atmosphere. This information is crucial for various applications, such as atmospheric research, weather forecasting, and environmental monitoring.

In atmospheric research, lidar is used to study the properties of the atmosphere, such as aerosol particles, clouds, and gases. The s-Function helps to calculate the concentration and distribution of these atmospheric components, providing valuable insights into atmospheric processes.

In weather forecasting, lidar is used to measure wind speed and direction, as well as to detect and track severe weather events such as hurricanes and tornadoes. The s-Function is used to determine the intensity of the laser pulse, which is affected by the wind and can provide valuable information about atmospheric conditions.

Additionally, lidar is used in environmental monitoring to measure air pollution, monitor vegetation health, and map the Earth's surface. The s-Function is essential in these applications as it allows for accurate measurements of the reflected light, which can be used to create detailed maps and models of the environment.

In conclusion, the s-Function is a crucial component of lidar technology, providing scientists with valuable information about the intensity of detected light at different distances in the atmosphere. Its uses span across a wide range of fields, making it a versatile and essential tool for scientific research and applications.

A Lidar s-Function is a mathematical representation of the relationship between the input and output signals of a Lidar system. It is used to describe the behavior of a Lidar device and its components, such as the laser, detector, and optics.

The Lidar s-Function provides a quantitative understanding of how the Lidar system operates and how it responds to different inputs. It also helps in the design, calibration, and optimization of Lidar systems for various applications.

Lidar s-Functions are used in a wide range of fields, including remote sensing, atmospheric sciences, geology, and engineering. They are used to analyze Lidar data, develop algorithms for data processing, and evaluate the performance of Lidar systems.

A Lidar s-Function is typically created through experimental measurements and data analysis. The behavior of a Lidar system is studied by varying its inputs and measuring the corresponding outputs. The resulting data is then used to develop a mathematical model that represents the Lidar s-Function.

Yes, the Lidar s-Function can change over time due to various factors such as environmental conditions, system aging, and component degradation. Therefore, it is important to regularly calibrate and update the Lidar s-Function to ensure accurate and consistent measurements.

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