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However, this event likely does have adequate data from the four Cluster spacecraft to enable a very accurate study of solar wind timing, comparable to what we have established using ground data, to explore this possible link.
In this study, since we were interested in the compressional component of Pi 2s, we used the P (parallel to the rotational Earth axis) component of the satellite data and the H (geomagnetic northward) component of the ground data to compare the onset timings.
Moreover, the most appropriate spatial resolutions using the high-resolution images were also consistent with those using ground sample data, which provides a potential to use the high-resolution images instead of ground data to determine the optimal spatial resolutions before sampling.
Further, although we were able to match the time of acquisition of the ground data to the same time as the satellite data, the 1205 hours passing time of the Landsat satellite is not optimal for temperature health studies.
Previous life cycle assessments (LCA) of willow have relied upon limited below ground data to estimate C sequestration into root systems [8,22] and although a few more detailed data sets now exist [7,18] considerable investigation is still needed to recognise the potential for the capture of C into this important biomass pool, as well as the surrounding soil.
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The US Geological Survey used satellite and on-ground data to estimate that 38% of mainland Alaska has permafrost, a band of soil, rock or sediment that is frozen underground for at least two consecutive years.
When a ground and vegetation cover factor related to soil erosion is mapped with the aid of remotely sensed data, a cost-efficient sample design to collect ground data and to obtain an accurate map is required.
The consolidation of ground data needed to support a global GLAS-based biomass inventory would require significant international cooperation and, as illustrated by our results, would likely not improve the precision of biomass estimates available in countries with established National Forest Inventories (NFIs).
For the ascending overpass, the four processor versions have a high bias with respect to the measured ground data (from −0.10 m3/m3 to −0.12 m3/m3).
An error matrix was prepared using ground truthing data to evaluate the classification accuracy.
Target and AUV navigation data has been registered to allow the generation of ground truth data to be used in the post analysis and validation of the performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com