Development of 3D orthoimage mapping for 3D phenology observation using UAV

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K05658
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 39070:Landscape science-related
• Research Institution: Kochi University of Technology
• Principal Investigator: Murai Ryosuke 高知工科大学, 地域連携機構, 助教(プロジェクト) (70773810)
• Co-Investigator(Kenkyū-buntansha): 高木 方隆 高知工科大学, システム工学群, 教授 (50251468)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: UAV / 植生観測 / オルソ画像 / BRF

Outline of Final Research Achievements

To conduct three-dimensional phenological observations of vegetation, this study focused on developing correction methods for observation data and techniques for generating three-dimensional orthoimages. The correction methods established include a sky view factor correction method using cloudy observation data and a color correction method dependent on the phase angle between the observation direction and the solar direction. The method for generating three-dimensional orthoimages was established by projecting the original image's color information onto three-dimensional surfaces, such as facades and cylinders. Additionally, by leveraging the multi-directional imaging capabilities of UAVs, we established a method to generate simulated images taken from any desired angle. This has led to improvements in the accuracy of traditional UAV-based phenological observation methods and the establishment of essential techniques for three-dimensional phenological observations.

Free Research Field

写真測量

Academic Significance and Societal Importance of the Research Achievements

デジタルカメラを搭載したUAVを用いたフェノロジー観測の実現には、カメラや光源による影響を補正する技術開発が必要であり、写真測量技術を、観測技術へ昇華させる意義がある。一方人類の歴史の中で人が狩りや農業・林業を継続的に効率よく行うためにフェノロジー観測がこれまで行われてきており、以前として植物のフェノロジー観測は現在も現地調査による目視で行われている。植生は昆虫や動物へ、栄養や営巣環境などを提供しているため、低コストで機動力のある観測手法を実現することは、植物とさまざまな生物の相互作用や気候変動の影響を評価するために意義がある。