Spatially constrained atmosphere and surface retrieval for imaging spectroscopy

Article Environmental Sciences

Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors

Daniel Zilber et al.

Summary: Remote Visible/Shortwave Infrared (VSWIR) imaging spectroscopy is a powerful tool for measuring the composition of Earth's surface. This study proposes an extension to the traditional estimation procedure by introducing atmospheric correlations into the multivariate Gaussian prior, which improves the predicted atmospheric fields and reduces bias in surface reflectance retrievals.

REMOTE SENSING (2022)

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Review Environmental Sciences

NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

Kerry Cawse-Nicholson et al.

Summary: The paper summarizes the Surface Biology and Geology (SBG) as a Designated Targeted Observable (DO) recommended in the 2017-2027 National Academies' Decadal Survey, focusing on agriculture, natural habitats, water use/quality, and urban development. It reviews existing algorithms in each category and synthesizes the findings of over 130 scientists.

REMOTE SENSING OF ENVIRONMENT (2021)

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Article Environmental Sciences

Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals

Philip G. Brodrick et al.

Summary: The sRTMnet method combines fast, reduced-order radiative transfer modeling with neural-network-based emulation to significantly increase computational speed while maintaining high accuracy, and will be utilized for the upcoming Earth Surface Mineral Dust Source Investigation. Its accuracy has been demonstrated through various methods, providing a pathway for high-resolution imaging spectroscopy reflectance retrievals at the global scale.

REMOTE SENSING OF ENVIRONMENT (2021)

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Article Meteorology & Atmospheric Sciences

Spectroscopic imaging of sub-kilometer spatial structure in lower-tropospheric water vapor

David R. Thompson et al.

Summary: This study uses VSWIR imaging spectroscopy to map sub-kilometer spatial structures in total atmospheric column water vapor, validating the accuracy of the inversion approach. By measuring the spatial variability and scaling properties of water vapor at the highest resolution to date, consistent second-order structure function scaling exponents were found, providing information about variability in the convective atmosphere.

ATMOSPHERIC MEASUREMENT TECHNIQUES (2021)

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Article Computer Science, Interdisciplinary Applications