Tree Density

Tree density estimation, crucial for applications like forest management and urban planning, focuses on accurately determining the number of trees within a given area using imagery (aerial or satellite) or other data sources. Current research emphasizes the development of robust and efficient algorithms, including transformer-based models and adaptations of isolation forests, to overcome challenges like diverse tree types and limited labeled data. These advancements improve the accuracy and speed of tree counting, leading to better informed decisions in ecological monitoring, resource management, and urban development. The development of explainable AI methods is also improving the transparency and trustworthiness of these models.