Tag: goes-16

A visual of the stable radiometric calibration of GOES-16 ABI

Accurate and Stable Radiometric Calibration of GOES-16 ABI IR Channels

January 26, 2022

ESSIC/CISESS Scientist Fangfang Yu (STAR/SMCD/SCDAB) has a new article in the Journal of Applied Remote Sensing, co-written with Hyelim Yoo, Haifeng Qian, and Xi Shao. The paper describes the radiometric calibration of the Advanced Baseline Imager (ABI) Infrared (IR) channels on GOES-16.

GOES-16 Chlorophyll A Retrievals using Deep Learning

February 1, 2021

On January 21, ESSIC/CISESS Assistant Research Scientist Guangming Zheng gave a presentation on retrieving chlorophyll concentrations from the GOES-16 Advanced Baseline Imager (ABI) using Deep Learning techniques as part of the 2nd NOAA Workshop on Leveraging AI in Environmental Sciences.

Tag: goes-16

Accurate and Stable Radiometric Calibration of GOES-16 ABI IR Channels

GOES-16 Chlorophyll A Retrievals using Deep Learning

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