Evaluation of Atmospheric Effects on Interferograms Using DEM Errors of Fixed Ground Points
Takashi Nonaka1, Tomohito Asaka2, Keishi Iwashita3
1College of Industrial Technology, Nihon University, Chiba 2758575, Japan. nonaka.takashi@nihon-u.ac.jp.
Sensors (Basel, Switzerland)
|July 20, 2018
Summary
This study quantifies atmospheric effects on synthetic aperture radar (SAR) interferograms. Atmospheric disturbances contribute significantly to phase noise, impacting disaster monitoring accuracy.
Area of Science:
- Geosciences
- Remote Sensing
- Geodesy
Background:
- High-resolution synthetic aperture radar (SAR) data are crucial for disaster monitoring.
- Accurate interpretation of SAR interferograms requires understanding sensor specifications, acquisition conditions, and land cover.
- Previous research established methods for estimating interferogram phase noise using TerraSAR-X and TanDEM-X datasets.
Purpose of the Study:
- To estimate atmospheric effects on SAR interferograms.
- To differentiate atmospheric disturbances from other sources of digital elevation model (DEM) errors.
- To quantify the contribution of atmospheric effects to phase noise in interferometric SAR (InSAR).
Main Methods:
- Comparing digital elevation model (DEM) errors between repeat-pass and single-pass interferometry.
- Utilizing TerraSAR-X and TanDEM-X datasets for analysis.
- Conducting quantitative analysis of DEM errors at fixed ground objects in Tsukuba city.
Main Results:
- Single-pass interferometry exhibits reduced DEM errors due to minimal temporal decorrelation and atmospheric disturbances.
- Atmospheric effects were estimated to account for 75% to 80% of the total phase noise in interferograms.
- The study successfully isolated and quantified atmospheric contributions to phase noise.
Conclusions:
- Atmospheric disturbances are a major source of phase noise in SAR interferograms.
- Understanding and quantifying atmospheric effects is essential for improving the accuracy of disaster monitoring using InSAR.
- The proposed method provides a valuable approach for assessing atmospheric impacts in InSAR applications.
Related Concept Videos
Systematic Error: Methodological and Sampling Errors
11.0K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.0K
Fundamental Attribution Error
13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
Taping Over Different Ground Profiles
398
Taping over varying ground profiles requires careful adaptation to achieve accurate measurements. On smooth, level ground with minimal vegetation, the tape can rest directly on the ground. Here, the taping team, typically consisting of a head and a rear tapeman, coordinates their positions with clear communication. The rear tapeman holds the tape at the starting point and guides the head tapeman toward a range pole placed beyond the endpoint, using hand or voice signals to ensure alignment.On...
398
Random Error
9.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K
Margin of Error
7.6K
The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
7.6K
Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer
43.5K
Gas pressure is caused by force exerted by gas molecules colliding with the surfaces of objects. Although the force of each collision is very small, any surface of an appreciable area experiences a large number of collisions in a short time, which can result in high pressure.
43.5K


