Application of UAV-Derived Digital Elevation Model in Agricultural Field to Determine Waterlogged Soil Areas in Amur Region, Russia
Boris Boiarskii1, Hideo Hasegawa2, Aleksei Muratov3, Vladimir Sudeykin4
1Boris Boiarskii, Graduate, Department of Science and Technology, Niigata University, Niigata Japan.
2Hideo Hasegawa, Department of Institute of Science and Technology, Niigata University, Niigata Japan.
3Aleksei Muratov, Science and Research, Department of Far Eastern State, Agrarian University, Blagoveschensk Russia.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 520-523 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11110283S19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This study evaluated elevation data in an agricultural field using an unmanned aerial vehicle (UAV) and a multispectral camera at an experimental site in the Amur Region, Russia. This region experiences waterlogging of soils, which prevents the use of agricultural machinery. Combine harvesters and transports are unable to perform technological processes on overmoistened soils. UAV surveying technology may help achieve a higher level of efficiency of agricultural land management. We processed captured Geo-TIF images using photogrammetry algorithms and recorded deviations in soil moisture on the experimental site. We produced a digital terrain model (DTM) that allowed us to determine areas of low-lying ground in the field that were prone to flooding and waterlogging. Using the UAV derived elevation model to determine low-lying ground may provide new opportunities for the region. Advanced land management may reduce farmers’ costs for maintaining machinery and labor in the field, especially during the harvest season.
Keywords: UAV, DTM, Amur Region, Drone Surveying.
Scope of the Article: Digital System and Logic Design