SUREHYP: An Open Source Python Package for Preprocessing Hyperion Radiance Data and Retrieving Surface Reflectance
Abstract
:1. Introduction
2. Materials and Methods
2.1. Hyperion Data
2.2. Workflow
2.3. SUREHYP Preprocessing
2.3.1. Desmiling
2.3.2. Destriping
2.3.3. Aligning VNIR and SWIR, Georeferencing
2.4. Atmospheric Correction
2.4.1. Thin Cirrus and Haze Radiance Correction
2.4.2. Image-Based Retrieval of the Water Vapor Concentration
2.4.3. Flat and Rough Terrain Atmospheric Corrections
2.5. Reflectance Retrieval Comparison
3. Results
Comparison between SUREHYP and FLAASH Outputs
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Blue | Green | Red | NIR | SWIR | |
---|---|---|---|---|---|
Spectral Range (nm) | 450–510 | 510–580 | 580–750 | 750–1000 | 1000–2500 |
absolute diff. [0–1] | −0.008 | −0.032 | −0.020 | 0.022 | 0.006 |
relative diff. (%) | −4.4 | −14.6 | −9.7 | 10.7 | 3.76 |
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Miraglio, T.; Coops , N.C. SUREHYP: An Open Source Python Package for Preprocessing Hyperion Radiance Data and Retrieving Surface Reflectance. Sensors 2022, 22, 9205. https://doi.org/10.3390/s22239205
Miraglio T, Coops NC. SUREHYP: An Open Source Python Package for Preprocessing Hyperion Radiance Data and Retrieving Surface Reflectance. Sensors. 2022; 22(23):9205. https://doi.org/10.3390/s22239205
Chicago/Turabian StyleMiraglio, Thomas, and Nicholas C. Coops . 2022. "SUREHYP: An Open Source Python Package for Preprocessing Hyperion Radiance Data and Retrieving Surface Reflectance" Sensors 22, no. 23: 9205. https://doi.org/10.3390/s22239205