HI Dear GSICS colleagues:
We have very nice discussion on collocation during the GSICS IR
group meeting today. Here is the paper that Dave mentioned.
The first peer-reviewed publication on spatial collocation is the
work by Nagle and Holz (2009), which provides a guidance for a
general methodology that can be applied to a wide range of
satellite, aircraft, and surface measurements and allow for
efficient collocation with measurements having varying spatial and
temporal sampling.Specifically, two methods are discussed for
spatial collocation (referred to as “overlap detection” in the
paper), including (1) the quasi-elliptical approach and (2) the
quasi-conical approach.
Based on the quasi-conical approach, an accurate and fast collocation method to collocate VIIRS measurements within CrIS instantaneous field of view (IFOV) directly based on line-of-sight (LOS) pointing vectors is developed and discussed in Wang et al. (2016). The python codes can be found at GitHub site. It is further improved using only terrain corrected geolocation data as inputs (slides).
Nagle, F.W.; Holz, R.E. Computationally efficient methods of collocating satellite, aircraft, and ground observations. J. Atmos. Oceanic Technol. 2009, 26, 1585–1595.
Wang, L.; Tremblay, D.; Zhang, B.; Han, Y. Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite Measurements with Cross-Track Infrared Sounder. Remote Sens. 2016, 8, 76.
Likun Wang