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Langley Automated Sensor Inter-calibration System (LASICS): Open Access Tools for Satellite Imager Inter-CalibrationSatellite imager calibration teams are tasked with maintaining stable measurement records to facilitate reliable monitoring of geophysical parameters and ensure dependable input for weather forecast models. Satellite imagers are neither uniformly calibrated nor radiometrically scaled to a common reference. Consistent inter-calibration between various earth-orbiting satellite imager pairs is a critical step in the creation of seamless earth-scene reflectance data records over time for input to higher level algorithms that retrieve earth system climate-sensitive properties.

Each imager inherently by virtue of its optics (and associated properties like Spectral Response etc.) will have a unique measurement of the same earth-scene reflected signal. A key part of this is the identification and prediction of events where the imager pairs from their respective earth-orbits view the same stable terrestrial targets with nearly identical viewing and solar geometry.

Langley Automated Sensor Inter-calibration System (LASICS) will provide the Earth remote sensing community with a foundation for the harmonization of these remote sensing records by the development of an intuitive, user-friendly, interactive web-based open access service that will leverage, an existing extensive and ever-growing database of earth-imager channel spectral response functions, on-demand capabilities for computation and visualization of spectral band adjustment factors using a variety of external hyper-spectral earth observation sources (e.g. SCIAMACHY, GOME-2 for VIS and IASI, AIRS for IR) and a variety of Solar Irradiance Spectra.
Document ID
20205006884
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Arun Gopalan
(Science Systems and Applications (United States) Lanham, Maryland, United States)
David Robert Doelling
(Langley Research Center Hampton, Virginia, United States)
Yolanda Lorraine Roberts
(Langley Research Center Hampton, Virginia, United States)
Elijahu Siman-tov
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Benjamin Raymond Scarino
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
August 27, 2020
Subject Category
Geosciences (General)
Computer Programming And Software
Meeting Information
Meeting: 101st American Meteorological Society (AMS )Annual Meeting
Location: Virtual
Country: US
Start Date: January 10, 2021
End Date: January 14, 2021
Sponsors: American Meteorological Society
Funding Number(s)
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.

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