JpGU-AGU Joint Meeting 2020

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques


convener:Yuichi S. Hayakawa(Faculty of Environmental Earth Science, Hokkaido University), Shigekazu Kusumoto(Graduate School of Science and Engineering for Research, University of Toyama), Christopher A Gomez(Kobe University Faculty of Maritime Sciences Volcanic Risk at Sea Research Group)

[MTT49-01] Assessing topographical change of peatland using drones

*Kotaro Iizuka1, Tsuyoshi Kato2, Asep Andi Yusup2, Sisva Silsigia2, Alifia Yuni Soufiningrum2 (1.Center for Spatial Information Science, University of Tokyo, 2.PT Mayangkara Tanaman Industri / PT Wana Subur Lestari)

Keywords:UAV, Drone, Remote Sensing, Peatland, Indonesia, Digital Elevation Model

Peatland ecosystem store large amounts of soil carbon and constitute an important component of the global carbon cycle, which not only plays a role in the storage of carbon in forest and peat, but also in controlling water resources and in preserving bio-resources and biodiversity. In the past decade, the use and development of peatland in Indonesia have been more extensive because of conversion of peatland to agricultural land. The drainage of peatlands without any well-planned management causes irreversible lowering of the surface (subsidence) as a consequence of peat shrinkage and biological oxidation. The conventional approaches utilize such as poles for observing the subsidence rate of the peat, which lacks in knowledge for the spatial distribution of the subsidizing event. This work focus on utilizing the emerging trends of the Unmanned Aerial Vehicles (UAVs) for collecting high definition terrain information of the peat environment through the Structure from Motion photogrammetry method. The observed terrain data was compared with the past data to see the topographical changes of the peats. The results represents the heterogeneity of the subsidence at a spatial scale. The mean subsidence was shown -26 cm, although there are fluctuations in the phenomenon. The amount of CO2 possibly emitted from the subsiding event is computed and we will further investigate its trend together with other relating data to understand the characteristics of the subsiding areas.