Terrestrial Laser Scanner Data Development for Tree Diameter and Tree Height Measurement (Case Study: Kebun Bibit Wonorejo, Surabaya)

Forests play a vital role in maintaining ecosystem balance, supporting biodiversity, and providing economic and social benefits to humans. To ensure sustainable forest management, accurate tree inventory is needed to monitor important parameters such as Diameter at Breast Height (DBH) and tree height. Conventional measurement methods often require large labour and are prone to human error, thus the use of Terrestrial Laser Scanner (TLS) technology is more efficient and accurate solution. In this study, an analysis of DBH and tree height was conducted at the Kebun Bibit Wonorejo, Surabaya, Indonesia. This location was chosen as a study area because it has quite a lot of trees with species commonly found in Indonesia. The analysis carried out using TLS data with an automatic measurement method. Two main algorithms, namely Random Sample Consensus (RANSAC) and Gauss-Newton, were compared for DBH estimation and tree height estimation which calculated automatically using 3DFIN and FSCT. The TLS approach allows for more detailed observation of tree structure with high accuracy, thus it can replace manual methods in forest inventory. The results of this study are expected to identify the best algorithm which can improve the accuracy of DBH and tree height measurements and accelerate the forest inventory process. With a more sophisticated monitoring system, it is hoped that this method can be applied on a wider scale to support sustainable forest conservation and utilization. In addition, the use of TLS can be an innovative step in increasing the efficiency of community forest and production forest management.