Using MODIS to track calibration stability of the AVHRR on NOAA 15-18

Aisheng Wu; Changyong Cao; Xiaoxiong Xiong

doi:10.1117/12.681199

27 September 2006 Using MODIS to track calibration stability of the AVHRR on NOAA 15-18

Aisheng Wu, Changyong Cao, Xiaoxiong Xiong

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 629812 (2006) https://doi.org/10.1117/12.681199
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

The NOAA-KLM (15 to 18) AVHRR are current operational sensors with observations used for many remote sensing applications. This paper examines the on-orbit calibration consistency and stability of the NOAA-15 to 18 AVHRR using MODIS aboard the NASA EOS Terra and Aqua spacecraft as transfer radiometers. Coincident and co-located observations collected from the middle of 2002 to the beginning of 2006 at orbital crossovers between AVHRR and MODIS are used for trend analysis. Uncertainties in the AVHRR and MODIS comparison data sets due to mismatch in pixel footprint, band spectral differences and BRDF effects are discussed. Possible biases among these AVHRR sensors are determined for the visible channel at 0.6 μm, the near-IR channel at 0.8 μm and the two longwave infrared channels at 11.0 and 12.0 μm. Trending results show that there is an agreement of within 2% in reflectance for the AVHRR visible channels onboard NOAA-15 to 17, and the most recently launched NOAA-18 (2005). Large differences of up to 15% in trending comparison are found for the near-IR channel, illustrating problems for this channel due to a lack of on-board calibration capabilities for AVHRR. For the longwave infrared channels, NOAA-17 has the most stable performance. NOAA-16 to 18 AVHRR agree with within 0.30 K in scene temperature estimation, while NOAA-15 AVHRR is 0.4 to 0.6 K lower than the other AVHRR.

Citation Download Citation

Aisheng Wu, Changyong Cao, and Xiaoxiong Xiong "Using MODIS to track calibration stability of the AVHRR on NOAA 15-18", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629812 (27 September 2006); https://doi.org/10.1117/12.681199

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