1.4 Coverage analysis so far *NNA and math model
1.5 Abundance analysis so far *same as above
1.6 What this thesis is proposing: an analysis of the routes, by clipping the images in a time-series, and completing the gaps with the video sequences, using a image mosaic technique. And comparing the results for abundance and coverage, with the mathematical ones, using an image recognition as compared with the neural network approach, used so far.
Methods
2.1 Methods used for data
Blue mining report -> One main objective of exploration is the economic assessment of the deposit, which is mainly based on box core sampling. However, such sampling is time-consuming and has a rather low resolution (i.e., the sample locations are rather far apart). Video surveys realized either with deep-towed TV sleds, remotely operated vehicles (ROV) or autonomous underwater vehicles (AUV) can cover larger areas with higher resolution and thus provide more information for the assessment of such underwater deposits.
2.1.a Multibeam
2.1.b Side scan
2.1.c Ocean floor video and photo mapping
2.2 Sediment and nodule analysis
2.3 Data filtering and time sequencing
2.4 GIS & Python - spline construction
2.5 GIS - raster mosaic clip
2.6 Abundance and Coverage approximation