Forest fragmentation, an urgent environmental issue, has received heightened scholarly attention in recent years. This phenomenon entails the division of expansive, contiguous forested areas into smaller, isolated fragments, resulting in profound ecological and environmental ramifications. The use of remote sensing data and Geographic Information System (GIS) techniques has become indispensable in analyzing forest fragmentation, providing valuable insights for conservation efforts and land management strategies. Remote sensing technologies play a crucial role in monitoring and assessing forest fragmentation on a large scale. By utilizing satellite imagery, researchers can capture detailed information about forest cover, land use changes, and spatial patterns over time. These data can be analyzed to identify areas of high fragmentation, quantify habitat loss, and analyze landscape connectivity. The usage of remote sensing data and GIS technique together offers both types of data and as the result, fragment analysis. On the one hand, it provides the measurement of such metrics as patch size, shape and even connectivity, whereas on the other hand, such as approach permits involving the results of such measurement into the evaluation of habitat quality, biodiversity loss, and the resilience of the ecosystem. Such type of data is required to attract efficient policies for the conservation of biodiversity and even help avoid the loss of forests as in this case, humans have to implement modern land management practices otherwise they will be deprived of their benefits. In such a way, these modern technologies contribute to our ability to investigate and manage forest and other ecosystems.