Results 1 to 10 of about 16,120 (75)

CLARREO Pathfinder/VIIRS Intercalibration: Quantifying the Polarization Effects on Reflectance and the Intercalibration Uncertainty

open access: yesRemote Sensing, 2019
Atmospheric scattering and surface polarization affect radiance measurements of polarization-sensitive instruments on orbit. Neglecting the polarization effects may lead to an inaccurate radiance/reflectance determination and underestimated radiance ...
Yolanda L. Shea   +2 more
exaly   +5 more sources

Band-Averaged Response Sensitivity Study of an Imaging Spectrometer for the CLARREO Pathfinder Mission

open access: yesRemote Sensing, 2022
Prelaunch absolute, SI-traceable radiometric calibration of satellite-based sensors is key to ensuring the utility of imaging spectrometer-based data products.
Brian N Wenny   +2 more
exaly   +4 more sources

Sensitivity Analysis Method for Spectral Band Adjustment Between Hyperspectral Sensors: A Case Study Using the CLARREO Pathfinder and HISUI

open access: yesRemote Sensing, 2019
The International Space Station has become the platform for deploying hyperspectral sensors covering the solar reflective spectral range for earth observation.
Kenta Obata
exaly   +4 more sources

Empirical Polarization Distribution Models for Use in CLARREO Pathfinder-VIIRS Intercalibration

open access: yesRemote Sensing
In this work, we discuss the impact of polarized scene radiances on the intercalibration of CPF and VIIRS reflective solar bands and the mitigation of these effects using empirical Polarization Distribution Models (ePDMs).
Yolanda L. Shea
exaly   +3 more sources

Absolute Radiometric Calibration of an Imaging Spectroradiometer Using a Laboratory Detector-Based Approach

open access: yesRemote Sensing, 2022
The HyperSpectral Imager for Climate Science (HySICS) is the core instrument of the Climate Absolute Refractivity and Reflectance Observatory (CLARREO) Pathfinder (CPF) mission and is currently scheduled to be launched to the International Space Station (
Zhipeng Wang   +3 more
doaj   +1 more source

The Moon as a Climate-Quality Radiometric Calibration Reference

open access: yesRemote Sensing, 2020
On-orbit calibration requirements for a space-based climate observing system include long-term sensor response stability and reliable inter-calibration of multiple sensors, both contemporaneous and in succession. The difficulties with achieving these for
Thomas C. Stone   +3 more
doaj   +1 more source

Retrieving vertical profiles of cloud droplet effective radius using multispectral measurements from MODIS: examples and limitations [PDF]

open access: yesAtmospheric Measurement Techniques
With the coming launch of the Climate Absolute Radiance and Refractivity Earth Observatory (CLARREO) Pathfinder (CPF) comes an opportunity to develop a new retrieval for warm, non-precipitating clouds from spectral reflectance measurements.
A. J. Buggee   +3 more
doaj   +1 more source

Multi-Instrument Inter-Calibration (MIIC) System

open access: yesRemote Sensing, 2016
In order to have confidence in the long-term records of atmospheric and surface properties derived from satellite measurements it is important to know the stability and accuracy of the actual radiance or reflectance measurements.
Chris Currey   +4 more
doaj   +1 more source

Principal Component-Based Spectral Standardization for Optical Spectrometers

open access: yesRemote Sensing
A Principal Component-Based Spectral Standardization (PCSS) method was developed to standardize hyperspectral radiance spectra onto a fixed wavelength grid.
Qiguang Yang   +9 more
doaj   +1 more source

Retrieval of Vertical Cloud Droplet Profiles and Above-Cloud Integrated Water Vapor from Hyperspectral Measurements: Reducing Liquid Water Path Retrieval Bias with Application to EMIT

open access: yesRemote Sensing
Accurate liquid water path estimates derived from backscattered solar radiation require knowledge of the vertical structure of cloud droplet effective radius, yet standard bispectral retrievals assume a vertically homogeneous cloud and overestimate ...
Andrew John Buggee, Peter Pilewskie
doaj   +1 more source

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