Many animal species are on the verge of extinction due to poaching and changes in land use, such as the destruction of forest areas to the detriment of agriculture, logging, and the construction of new towns and cities. Therefore, regular monitoring of animal populations is necessary to ensure the protection of wildlife, especially when pressure on animals is high, and conservation management requires reliable and up-to-date data on land use, the size of animal populations, and the distribution of resources in highly variable ecosystems. In this context, we would like to contribute to the process of automating conventional methods, taking advantage of the Internet of Things (IoT) paradigm, which has evolved rapidly in recent years, and emerging digital technologies such as Low-Power Wide-Area Networks (LPWAN) and the rapid growth of Unmanned Aerial Vehicles (UAVs), also known as drones. Therefore, this study proposes a wildlife monitoring system, using LoRa networks assisted by UAVs that act as mobile gateways to collect data from sensors on the ground. This aims to contribute to the protection of fauna in Angola by helping forest rangers obtain actionable data from their operations. The tests were conducted in a simulation environment to verify that the proposed system works correctly, verifying the correct data transmission from the sensors to the data center. However, this technique provides a more sustainable and scalable monitoring method that minimizes human effort.