###### Abstract  
Photovoltaic solar plants are one of the main facilities away from urban centers for the generation of clean energy. Since its appropriate maintenance ensures its suitable operation, optimizing their maintenance tasks in a preventive way is key. This article presents a spatial data infrastructure called INSPECTORMAP that, based on the analysis of free satellite images within the optical spectrum, can detect unusual vegetation and bodies of water in the vicinity of photovoltaic plants that can affect their correct operation. Thanks to the implementation of a monitoring and alert system, it is possible to know and map the status of the photovoltaic plant in terms of unusual coverages appearing, both natural and artificial, at any moment. Thus, maintenance workers would travel to the solar plant to carry out their maintenance tasks in this regard only when the system detects a risk. spatial data infrastructure; landsat-8; sentinel-2; risks; unattended maintenance; solar plants +
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showed how the application of artificial intelligence networks allows for automating this process [16]. Another important aspect regarding the maintenance of photovoltaic installations is the conditions of their surroundings. The earth's surface is subject to continuous changes of both natural and artificial origin. Regarding the changes caused naturally, the presence of small or large masses of vegetation or the accumulation of water in the vicinity of these facilities can negatively affect their proper operation. These are changes that require continuous monitoring. Although drones allow capturing images with high spatial resolution, they turn out to be an expensive alternative due to the need for an expert pilot and frequent flights. In addition, these devices have other weaknesses: (i) impossibility of flying with extreme weather conditions such as strong winds, large episodes of rain, or high temperatures; (ii) limitation when flying large areas due to the autonomy of their batteries; (iii) the need to have an expert drone flight operator who oversees planning and executing the flight, which increases costs. As an alternative to this robotic technology, there are earth observation satellites capable of monitoring the surroundings of photovoltaic facilities over time. Currently, large space agencies such as NASA (National Aeronautics and Space Administration) and ESA (European Space Agency) have different Earth observation missions that capture images of the Earth's surface [17]. These are images that not only stand out for their free nature but also for their temporal and spectral resolution. This type of satellite captures images every few days, within several regions of the electromagnetic spectrum, which allows the detection of different elements of the Earth's surface by means of different spectral indices [18]. To efficiently manage this information, given its type and quantity, systems with a great capacity both to process and display satellite images, as well as to store them, are required. Although common Geographic Information System (GIS) tools are of great help in this regard, the use of a spatial data infrastructure (SDI) is a great alternative [19]. These are easy-to-use web tools that allow to automate the download, storage, and processing of data without the need for a computer with a large graphic and storage capacity, since everything is done through the cloud. Likewise, the latest advances in the Open Data Cube (ODC) standards [20,21] allow the integration and fusion of different satellite platforms and missions, improving and enhancing the analysis of different satellite products together.