11

Yes, it makes a difference. In this case the grid-registered dataset is higher fidelity. However, the cell-registered is easier to handle. As you see, both types of data are available on the dataset's page. The page states: The grid-registered is the authoritative registration. The page also points out: The cell-registered is derived from the grid-...


9

Fjords are formed as U-shaped valleys by the extreme erosion of glaciers. The glacier erodes large quantities of material that is transported by the ice. The glacier can erode deep under the sea level (remember how an iceberg only has 1/10 of its mass above the surface) and if the postglacial rebound is limited, the fjord will remain as an estuary. When ...


8

Oceanic topography of the sea surface $\zeta$ can be defined as the height of the sea surface relative to a particular level surface, the geoid. The geoid to be the level surface that coincided with the surface of the ocean at rest (a list of geoids with application to oceanography can be found in Talone et al., 2014). Variations in sea surface height (...


7

You can find gridded topography and bathymetry data, freely accessible, on the website of the NOAA. For instance you have the ETOPO1 dataset here. Once you downloaded it you can work it out with your favourite GIS software or GIS-supporting programming language. The equations to calculate the volume based on the gridded cells is given on this page from the ...


3

Disclaimer: I have no special knowledge of this data set. But from reading the linked page, which I agree is not very clear, here's my understanding: As you have stated, the data points actually represent cells with a finite area rather than points. The difference between the two approaches is whether the location of the cell is identified by giving the ...


3

I got in touch with the author of the dataset with my remaining concerns, who responded surprisingly quickly. Here is the essence of everything I learned from people I talked to, including kwinkunks, Simon W, and the author of the dataset, and is intended to augment the existing answers. For both the grid registration and the cell registration, the ...


2

I had the same problem with surface DEM's. The best solution I found in Matlab was using the scatteredInterpolant class, it is inbuilt in Matlab. It allows Natural neighbour interpolation (that is a class of weighted distance interpolation as suggested in previous comments). The usage is like this: % IF X and Y are the coords of each grid cell (you can use ...


2

As noted in the comments, this is actually a much more complex question than it might seem at first. Answering fully would require a very involved and technical discussion of single-beam surveying's inherent errors and their causes (water velocity, side slope reflection, highly transmissive hydrocarbon-rich anthropocene silt, and other such complications). I ...


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