Analysis of Aerial Photography with Unmanned Aerial Vehicle (UAV) Using eCognition Developer to Estimate the Number of Trees in the Forest Area

Abstract

This study aims to analyze UAV aerial photographs for population estimation and estimate the potential of stands using UAV technologies to measure the number of populations/numbers of trees based on aerial photos. The process of interpreting/interpreting/processing aerial photo data from UAVs that leads to the need for data expected to be obtained from UAVs has not led to accuracy and accuracy. With this study, it is hoped that it can help calculate the number of populations/number of trees based on aerial photos using UAVs and as comparative data to the results of treatises. This research can also be used as reference data for the calculation of biological assets and for preparing the Perhutani Forest Sustainability Regulation Plan (RPKH) by calculating the number of trees. Based on the results and analysis using eCognition Developer software, the following conclusions were obtained for identifying Mangium trees through three processes: sample selection, generating templates, and testing templates. The results of the tree calculation automatically obtained a threshold of 0.699, with a total of 518 trees detected.