Optimal Band Analysis of a Space-Based Multispectral Sensor for Urban Air Pollutant Detection
Abstract
:1. Introduction
2. Band Selection Driven by Background and Target Characteristics
- The geographic coordinates of the observed region can be studied at the specific moment, since satellite orbits are generally preset and known;
- The variation of the ground covers is much slower than the variation of the atmospheric condition.
3. Calculation Model for Atmospheric Radiative Transfer Characteristic
3.1. Total Background Radiance
3.2. Impact of Gaseous Molecules
3.3. Impact of Aerosol Particles
4. Analysis on Optimal Band for Pollutant Detection
4.1. Contrast Analysis
4.2. Signal-to-Noise Ratio
5. Results and Discussion
5.1. Gaseous Pollutants
5.1.1. Carbon Monoxide (CO)
5.1.2. Sulfur Dioxide (SO2)
5.1.3. Nitrogen Dioxide (NO2)
5.1.4. Ozone (O3)
5.2. Aerosol Particles
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Description | Value | |
---|---|---|
Sensor System | IFOV | 70.896 μrad |
Detector integration time | 0.5 ms | |
Effective focal length | 380.86 mm | |
Effective pupil diameter | 17.78 cm | |
Temperature of optical train | 99 K | |
Temperature of shield | 99 K | |
Temperature of focal plane array | 223 K | |
Quantization | 12 bits | |
Voltage of analog-to-digital conversion | 1 V |
Description | Value | ||
---|---|---|---|
Atmosphere | Atmospheric model | Mid-latitude summer | |
Boundary Aerosol Type | Rural | ||
Relative humidity | 90% | ||
Visibility | 23 km | ||
Temperature of surface | 290 K | ||
Geometry | Solar zenith angle | 30° | |
Viewing zenith angle | 0.1° | ||
Relative azimuth angle | 50° | ||
Height of surface | 0.001 km | ||
Height of sensor | 705 km | ||
Band selection | Central wavelength of spectral filter | CO [38] | 2.0–5.0 μm in step of 1 nm |
SO2 [36] | 7.0–10.0 μm in step of 1 nm | ||
NO2 [70] | 6.0–7.0 μm in step of 1 nm | ||
O3 [71] | 9.0–10.0 μm in step of 1 nm | ||
Shape of spectral filter | Blackman Window | ||
Bandwidth of spectral filter | 0.01–0.2 μm in step of 1 nm | ||
SNR Threshold (γ) | 6 |
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He, X.; Xu, X.; Zheng, Z. Optimal Band Analysis of a Space-Based Multispectral Sensor for Urban Air Pollutant Detection. Atmosphere 2019, 10, 631. https://doi.org/10.3390/atmos10100631
He X, Xu X, Zheng Z. Optimal Band Analysis of a Space-Based Multispectral Sensor for Urban Air Pollutant Detection. Atmosphere. 2019; 10(10):631. https://doi.org/10.3390/atmos10100631
Chicago/Turabian StyleHe, Xiaoyu, Xiaojian Xu, and Zheng Zheng. 2019. "Optimal Band Analysis of a Space-Based Multispectral Sensor for Urban Air Pollutant Detection" Atmosphere 10, no. 10: 631. https://doi.org/10.3390/atmos10100631