Recent Advances in UAV-Based Structure-from-Motion Photogrammetry for Aboveground Biomass and Carbon Storage Estimations in Forestry

Abstract

Due to economical, ecological, and social changes over the last decade, managers and researchers in nature-based disciplines intend to use both traditional and innovative remote sensing (RS) technologies for best management practices. RS, which has grown interest in forestry, offers rapid and reliable assessment tool to monitoring and observing. Several successful studies in literature have indicated that the RS use in forestry is light the way of the most effective evaluating various forest ecosystems. Recent developing unmanned aerial platforms play as a low-cost and inexperienced user-based multi-image processing by using computer vision techniques for forestry studies. Forests, where are essential natural resources for the future, are the pool of biomass and carbon storage, and they need periodical monitoring to sustain. A sustainable management of carbon balance and biomass in mountainous forests includes exhausting effort in field-based studies. However, the RS as a tool for study on biomass and carbon storage can be received as the most effective prediction and nondestructive method in combination with structure-from-motion techniques. Considering recent opportunities in data science and unmanned aerial vehicles (UAVs), RS and photogrammetry in forestry have still played an indispensable role in the evolution of forests. This chapter aims to review the recent advanced knowledge on the progress of the use of UAV technologies in accordance with advanced photogrammetry-related applications in the quantification of forest aboveground biomass and carbon storage. A comprehensive literature search has been performed on the use of UAV-based SfM photogrammetry for UAV-based forest biomass and carbon storage studies. © Springer Nature Singapore Pte Ltd. 2022.