We show that in order to achieve the desired accuracy, a ground sample distance of at least half that value is required.
It scales up not only the ground sample data but also the uncertainties associated with the data aggregation from smaller supports to larger pixels or blocks.
However, because of their large tilt angles, aerial oblique images have trapezoidal footprints on the ground, and their areas correspond to conspicuously different ground sample distances.
With a ground sample distance (GSD) of less than 2 m per pixel, roads can be broadly described as elongated regions.
Turbidimetry is used to characterize the kinetics of agglomeration of a finely ground sample of potassium sulphate in different stirred media, i.e. water and several organic liquids.
Additionally, the success rates of the methods were found to be over 85% in measuring the grain sizes in a ground sample, and 86% in measuring liberation degrees of minerals after grinding process.
Two mission cases are studied; the first is an Earth observation satellite and presents a trade-off between ground sample distance and revisit time over a ground target, given altitude as the decision variable.
5 g of ground sample for each sugarcane treatment were weighted in nylon bags and incubated for 4, 8, 12, 24, 48, and 72 h in a completely randomized design with six replicates.
Based on the experiments results, it is proved firstly that the goal of 1 m ground sample distance (GSD) in orbit of 500 km is feasible with the TDDA stage of 30 for SWIR waveband (0.9 1.7 μm).
We demonstrated possible integration of ground sample plots and ALS data to delineate homogeneous patches.
Thus, the ground sample was sieved in nylon sieve of 100 µm before extraction.
