NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Uncertainty Analysis of the GeoNEX Top-of-Atmospheric Reflectance Products Generated from the Third-Generation Geostationary Satellite SensorsThe GeoNEX (Geostationary-NASA Earth eXchange) Level-1G products consist of top-of-atmosphere (TOA) bi-directional reflectance factor (BRF) and brightness temperature generated with data streams from the latest geostationary (GEO) sensors including GOES-16/17 ABI, Himawari-8/9 AHI, and GK-2A AMI on a global tiled common grid (60oN-60o and 180oW-180oE) in geographic coordinates. With their 16 spectral bands, 0.01o/0.02o nadir spatial resolution, and 10-minute temporal resolutions, these products provide exciting opportunity to monitor Earth surface processes. However, the unique Sun-Target-Satellite geometry of geostationary sensors demands special attention in analyzing/interpreting these datasets. In this study we present a systematic analysis on the relationship between the radiometric uncertainties of the GeoNEX TOA reflectance and the corresponding solar/satellite zenith angles. We show that the signal-to-noise ratio (SNR) of the BRF are positively proportional to the square roots of the cosine of solar illuminating zenith angles. That is, the BRF data are noisier earlier in the morning or later in the afternoon than in the mid of the day. The cosine of satellite viewing zenith angles do not directly influence the SNR of the TOA BRF. However, they positively regulate the relative importance of the surface component in the TOA BRF. This means that variations in surface reflectance are more difficult to detect for pixels with larger view zenith angles, even when the SNR of the TOA BRF is the same. We are developing metrics to specify such illumination-view geometry related uncertainties in the GeoNEX L1G TOA BRF products so that this key information can be easily accessed by the user community.
Document ID
20205006225
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Weile Wang
(California State University, Monterey Bay Seaside, California, United States)
Hirofumi Hashimoto
(California State University, Monterey Bay Seaside, California, United States)
Andrew Ryan Michaelis
(Bay Area Environmental Research Institute Petaluma, California, United States)
Taejin Park
(Bay Area Environmental Research Institute Petaluma, California, United States)
Yujie Wang
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Alexei Ivanovich Lyapustin
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Satya Kalluri
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Ramakrishna R Nemani
(Ames Research Center Mountain View, California, United States)
Date Acquired
August 12, 2020
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: 2020 American Geophysical Union (AGU) Fall Meeting
Location: Virtual Symposium
Country: US
Start Date: December 1, 2020
End Date: December 17, 2020
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNX12AD05A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Geostationary satellite
GOES-16
Himawari-8
NASA Earth Exchange
GeoNEX
Bidirectional Reflectance Factor
Uncertainty Analysis

Available Downloads

There are no available downloads for this record.
No Preview Available