Steven Pestana (Former Employee)
Science and Products
Non-USGS Publications**
Pestana, S. J., Chickadel, C. C., & Lundquist, J. D. (2024). Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign. The Cryosphere, 18(5), 2257-2276. https://doi.org/10.5194/tc-18-2257-2024
Pestana, S., Bair, E. H., Dozier, J., & Lundquist, J. D. (2023). Observations of Diurnal Midwave Infrared Anisotropy over Snow and Forests with GOES-R ABI. In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 5-8). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282266
Pestana, S., & Lundquist, J. D. (2022). Evaluating GOES-16 ABI surface brightness temperature observation biases over the central Sierra Nevada of California. Remote Sensing of Environment, 281, 113221. https://doi.org/10.1016/j.rse.2022.113221
Pestana, S., Chickadel, C. C., Harpold, A., Kostadinov, T. S., Pai, H., Tyler, S., Webster, C., & Lundquist, J. D. (2019). Bias correction of airborne thermal infrared observations over forests using melting snow. Water Resources Research, 55(12), 11331-11343. https://doi.org/10.1029/2019WR025699
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Non-USGS Publications**
Pestana, S. J., Chickadel, C. C., & Lundquist, J. D. (2024). Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign. The Cryosphere, 18(5), 2257-2276. https://doi.org/10.5194/tc-18-2257-2024
Pestana, S., Bair, E. H., Dozier, J., & Lundquist, J. D. (2023). Observations of Diurnal Midwave Infrared Anisotropy over Snow and Forests with GOES-R ABI. In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 5-8). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282266
Pestana, S., & Lundquist, J. D. (2022). Evaluating GOES-16 ABI surface brightness temperature observation biases over the central Sierra Nevada of California. Remote Sensing of Environment, 281, 113221. https://doi.org/10.1016/j.rse.2022.113221
Pestana, S., Chickadel, C. C., Harpold, A., Kostadinov, T. S., Pai, H., Tyler, S., Webster, C., & Lundquist, J. D. (2019). Bias correction of airborne thermal infrared observations over forests using melting snow. Water Resources Research, 55(12), 11331-11343. https://doi.org/10.1029/2019WR025699
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.