Overview of Aqua MODIS 10-year on-orbit calibration and performance
Author(s) -
X. Xiong,
Brian N. Wenny,
Junqiang Sun,
Amit Angal,
Aisheng Wu,
H. Chen,
Taeyoung Choi,
Sriharsha Madhavan,
Xu Geng,
Daniel Link,
Zhipeng Wang,
G. N. Toller,
W. L. Barnes,
V. V. Salomonson
Publication year - 2012
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.973769
Subject(s) - remote sensing , calibration , spectral bands , environmental science , orbital mechanics , radiance , orbit (dynamics) , radiometry , black body radiation , radiometric calibration , on board , meteorology , satellite , optics , physics , geology , aerospace engineering , engineering , astronomy , radiation , quantum mechanics
Since launch in May 2002, Aqua MODIS has successfully operated for over 10 years, continuously collecting global datasets for scientific studies of key parameters of the earth’s land, ocean, and atmospheric properties and their changes over time. The quality of these geophysical parameters relies on the input quality of sensor calibrated radiances. MODIS observations are made in 36 spectral bands with wavelengths ranging from visible (VIS) to long-wave infrared (LWIR). Its reflective solar bands (RSB) are calibrated using data collected from its on-board solar diffuser and regularly scheduled lunar views. The thermal emissive bands (TEB) are calibrated using an on-board blackbody (BB). The changes in the sensor’s spectral and spatial characteristics are monitored by an on-board spectroradiometric calibration assembly (SRCA). This paper presents an overview of Aqua MODIS 10-year on-orbit operation and calibration activities, from launch to present, and summarizes its on-orbit radiometric, spectral, and spatial calibration and characterization performance. In addition, on-orbit changes in sensor characteristics and corrections applied to continuously maintain level 1B (L1B) data quality are discussed, as well as lessons learned that could benefit future calibration efforts.
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