## 4 Materials and Methods
The product development strategy assumes the gradual creation of increasingly complex information layers for which potential customers would pay. The first information layers were to be based on simple and less computationally expensive algorithms (e.g., analyzing the slope of the terrain) to increasingly more complex and computationally expensive algorithms. This strategy also takes into account the fact that the first industrial high-resolution data on lunar resources will be obtained only in the coming years. Interestingly, some of the algorithms may also have potential terrestrial applications. It is increasingly common that new resources (e.g., metals) are found in hard-to-reach, forested areas far from civilization. Implementation of the developed algorithms for the Moon to Earth's conditions could help mining companies in a more rational development of such newly discovered deposits, limiting losses to the natural environment and carbon footprint, and at the same time reducing costs. Mining companies have been using satellite data and increasingly sophisticated remote sensing methods for decades and could be interested in such a solution. The first stage of the described project was to perform a trial, simplified analysis for several selected places on the Moon using available satellite data using generally available IT tools. It was supposed to be a simple and unsophisticated form of MVP (Minimal Valuable Product) and PoC (Proof of Concept) to be shown to the first potential investors. To create such an MVP and PoC, the Lunar QuickMap tool [64], which was developed by Applied Coherent Technology (ACT) Corporation [65], was used. The tool runs in a web browser. Lunar QuickMap integrates data from multiple lunar missions and is shown in Figure 1. This is a great convenience for researchers and people planning space missions because previously they had to combine data from many space missions scattered across different bases and plot them on one coordinate grid, which was not always an easy process. Lunar QuickMap allows you to create terrain cross-section profiles along a line selected by the user. The disadvantage of this solution is that if you have a weaker computer and Internet connection, the applications do not always run smoothly. ACT is also working on similar tools for Mercury and Mars. Figure 1: Lunar QuickMap [64] by Applied Coherent Technology (ACT) Corporation. Unfortunately, the analysis of microtraps with a diameter of less than 1 km using the Lunar QuickMap tool did not make sense due to the low resolution of data from previous space missions. It was therefore necessary to select larger craters with a larger diameter. Also, the crater and the permanently shadowed area (PSR) within it cannot be too small, as the exploitation of the small deposits contained therein may be economically unprofitable. QuickMap contains data from Sony's NASA Lunar Reconnaissance Orbiter (LRO). The QuickMap tool gives you the ability to select the data layers displayed. The \"Polar Water Equivalent Hydrogen\" layer was used to search for water deposits on the Moon. A search was carried out for places that could be promising for industrial exploration. Assumptions were made that the crater depth should not be greater than 1000 m, the slope should not exceed 25\({}^{\circ}\), and the crater diameter should be in the range of 5-10 km. One of the goals of the analysis was to propose an entry and exit route to the crater for an exploration rover (e.g., containing a drilling device). Solar exposure on the crater wall was taken into account here to provide an energy source for the rover, and places with large amounts of erratic boulders were eliminated to minimize the possibility of damage to the rover. Of course, the resolution of the photos in Lunar QuickMap only allows you to see large erratic boulders, but such an analysis is valuable in terms of increasing the safety of operations of rovers and mining dump trucks.