It is guide for the design of survey parameters when the grounded-wire TEM is applied to the shallow detection.
A correlation was evident between the seismic, geochemical and heatflow data, however, some non-related data patterns indicate the necessity for combination of the survey parameters.
Earth resistivity (RES), induced polarization (IP), and Ground Penetrating Radar (GPR) data were collected using a variety of survey parameters; Light Detection and Ranging (LiDAR) data were collected as a reference for surface structures, surface topography, and site geology.
In most of these studies, the effect of survey configuration on the LiDAR information was assessed by collecting new data with varying survey parameters.
The Taguchi method popularly uses the S/N ratio to consider the influence of the survey parameters on the output parameters.
The effect of LiDAR survey parameters on the derivation of biophysical properties from airborne LiDAR data has been investigated in different studies.
Although our point thinning approach did not recreate realistic distributions of returns and did not consider the covarying effect of return parameters when survey parameters are changed, our results on metrics variation patterns agree with other studies that actually varied the surveying parameters.
Survey parameters for June to October consisted of anticipated brucellosis prevalence 21% (Alausa and Awoseyi 1976), desired precision of sample estimate 5%, degree of confidence 95% and intra-cluster coefficient 0.20.
Survey parameters in March consisted of anticipated trypanosomiasis prevalence 45% (Majekodunmi et al. 2013), desired precision of sample estimate 5%, degree of confidence 95% and intra-cluster correlation coefficient 0.18 (Majekodunmi et al. 2013).
The measured change has to be bigger than the error produced by the measurements, or in other words, one must choose the survey parameters based on the rate of change of the landslide compared to the field survey frequency for significant results.
