Effective forest management protects the incredible variety found in nature. In order to preserve this invaluable asset, we need to employ cutting-edge forest management techniques. Remote sensing and drone technologies have emerged as the fundamental foundations of today's most well-known developments in technology due to the high-resolution satellite images employed in the data collecting and processing procedures. In the rapidly growing sector of “digital forestry,” these technologies are indispensable. Using digital tools like remote sensing, big data, and artificial intelligence (AI), “digital forestry” measures, monitors, and manages forests to maximize their social, economic, and ecological advantages. Using AI and the Internet of Things (IoT) to analyze massive amounts of data might significantly improve our ability to predict, prevent, and deal with forest disturbances. In the end, this will allow for better forest management that can last for generations. With the use of technology, especially AI, public organizations, governments, and individuals may better respond to threats. By analyzing the data, looking for indicators of deforestation, and taking steps to prevent the process, conservationists are able to maintain track of the land's changes throughout time. Drones and IoT-connected sensors that upload data to the Cloud and relay the findings through satellite networks have become indispensable tools for forest managers. When applied to forest monitoring, for instance, satellites can provide early warning signals of fires or places at risk of fire before direct observations can be obtained. This expedites the time it takes to respond. Because of this, this article's major objective is to present the notion of “digital forestry,” which works to reduce deforestation and boost sustainable development by employing tools that streamline forest evaluation processes.