AI-GEOSTATS: Geostatistics for optimal spatial resolution
- I am trying to use ground data (measured over a support of a radius of
2.5 cm) to obtain the optimal spatial resolution of satellite imagery
for monitoring such site. I have found two approaches to do so, but
struggle to decide which one is the more suitable one:
1) calculate a semi-variogram of my ground data and use the range of the
semi-variogram as guide for the optimal spatial resolution of my
2) regularise my data to different potential spatial resolution of
imagery and create a variogram for each spatial resolution. Then plot
the semivariance of a lag of 1 unit over the different spatial
resolution and use the spatial resolution of the greatest variance as
guide for the optimal spatial resolution.
I am expecting a optimal spatial resolution somewhere between 2 and 5 m,
so I assume that a support of 5 cm can be seen as a quasi-point support.
If anybody could help me out which of the two methods is the more
suitable or reliable, I would be most grateful.
University of Newcastle
School of Civil Engineering & Geosciences
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