Sensitivity Analysis Method for Spectral Band Adjustment between Hyperspectral Sensors: A Case Study Using the CLARREO Pathfinder and HISUI
Abstract
:1. Introduction
2. Derivation of Propagated Errors
2.1. Radiance-to-Radiance Conversion
2.2. Reflectance-to-Radiance Conversion
3. Numerical Simulations
3.1. Sensors and Their Spectral Band Adjustment
3.2. RSR and Band Assumptions for Spectral Convolution
3.3. Solar Irradiance Models
3.4. Spectral Parameters Used to Describe the Atmosphere
3.5. Soil Reflectances
3.6. Computation of Standard Deviations and Covariances for the Sensitivity Analysis
3.7. Sensitivity Analysis
3.8. Evaluation of the Derived Equation
4. Results
4.1. Sensitivity Analysis
4.2. Evaluation of the Derived Equation
5. Discussion
6. Conclusions
Funding
Acknowledgments
Conflicts of Interest
Appendix A. Partial Derivatives of the Errors Propagated during the Radiance/Reflectance-to- Radiance Conversion
References
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CLARREO Pathfinder | HISUI | |
---|---|---|
Mission lifetime | 1–2 years | 3 years |
Spectral range | 350–2300 nm | 400–2500 nm |
Spectral resolution | 4 nm sampling and 8 nm bandwidth (baseline) | 10 nm in VNIR |
8 nm sampling and 16 nm bandwidth (threshold) | 12.5 nm in SWIR | |
Spatial resolution | 500 m | 30 m (AT) by 20 m (CT) |
Swath width | 70 km | 20 km |
Radiometric accuracy | 0.3% () at 700–1000 nm (baseline) | 5% |
1% () at 700–1000 nm (threshold) | ||
1% () at 350–2300 nm (baseline) | ||
3% () at 350–2300 nm (threshold) | ||
Spectral accuracy | 1% () (baseline) and 2% () (threshold) | 0.2 nm in VNIR |
0.625 nm in SWIR |
No. | Author | Year | Range (nm) | Interval (nm) | Solar Constant (W/m) |
1 | Arvesen [39] | 1969 | 300–2495 | 0.1 to 5 | - |
2 | Wehrli [40] | 1985 | 200–100,075 | 1 to 25 (≤2642.5) | 1367.0 |
3 | Colina [41] | 1996 | 120–2500 | 1 to 2 | - |
4 | ASTM [42] | 2000 | 120–100,000 | 1 to 2 (≤2500) | 1366.1 |
5 | Thuiller [43] | 2003 | 200–2400 | 0.1 to 1 | - |
6 | Gueymard [44] | 2004 | 0.5–1,000,000 | 1 to 5 (≤4000) | 1366.1 |
7 | Fontenla [45] | 2011 | 201–100,077 | 0.2 | 1379.91 |
8 | Coddington (NRLSSI2) [46] | 2016 | 115–100,000 | 1 | 1360.45 |
9 | Yeo (SATIRE-S) [47] | 2017 | 115–160,000 | 2 to 10 (≤3185) | 1372.3 |
10 | Meftath (SOLAR-ISS) [48] | 2017 | 0.5–3000 | 0.05–0.2 | - |
No. | Product name | Year | Range (cm) | Interval (cm) | Solar constant (W/m) |
11 | SUN01kurucz1997 [49] | 1997 | 50–5000 | 1 | 1368.2 |
12 | SUN01kurukz2005 [49] | 2005 | 0–5000 | 1 | 1400.7 |
13 | SUN01chkur [49] | - | 50–5000 | 1 | 1359.75 |
14 | SUN01thkur [49] | - | 50–5000 | 1 | 1376.73 |
15 | SUN01fontenla [49] | - | 50–5000 | 1 | 1361.0 |
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Obata, K. Sensitivity Analysis Method for Spectral Band Adjustment between Hyperspectral Sensors: A Case Study Using the CLARREO Pathfinder and HISUI. Remote Sens. 2019, 11, 1367. https://doi.org/10.3390/rs11111367
Obata K. Sensitivity Analysis Method for Spectral Band Adjustment between Hyperspectral Sensors: A Case Study Using the CLARREO Pathfinder and HISUI. Remote Sensing. 2019; 11(11):1367. https://doi.org/10.3390/rs11111367
Chicago/Turabian StyleObata, Kenta. 2019. "Sensitivity Analysis Method for Spectral Band Adjustment between Hyperspectral Sensors: A Case Study Using the CLARREO Pathfinder and HISUI" Remote Sensing 11, no. 11: 1367. https://doi.org/10.3390/rs11111367