日本地球惑星科学連合2023年大会

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セッション記号 U (ユニオン) » ユニオン

[U-05] Geospatial Applications for Natural Resources, Environment and Agriculture

2023年5月26日(金) 10:45 〜 12:00 展示場特設会場 (1) (幕張メッセ国際展示場)

コンビーナ:Abdul Rashid Bin Mohamed Shariff (Universiti Putra Malaysia )、高橋 幸弘(北海道大学・大学院理学院・宇宙理学専攻)、Gay Jane P Perez(University of the Philippines Diliman)、Decibel Villarisco Faustino-Eslava(Geological Society of the Philippines)、Chairperson:Decibel Villarisco Faustino-Eslava(Geological Society of the Philippines)、高橋 幸弘(北海道大学・大学院理学院・宇宙理学専攻)、Abdul Rashid Bin Mohamed Shariff(Universiti Putra Malaysia)、Gay Jane P Perez(University of the Philippines Diliman)

11:00 〜 11:15

[U05-02] 3D Stereo-photogrammetry of Typhoon Maysak Using Diwata-2 Microsatellite

*Meryl Regine Llenaresas Algodon1Yukihiro Takahashi2Mitsuteru Sato2Hisayuki Kubota3、Shielo Muta4、Matthew Medrano5 (1.Department of Science and Technology - Advanced Science and Technology Institute、2.Hokkaido University, Sapporo, Japan、3.Hokkaido University, Faculty of Science, Sapporo, Japan、4.Philippine Space Agency, Quezon City, Philippines、5.STAMINA4Space Program GRASPED, Institute of Environmental Science and Meteorology, University of the Philippines Diliman, Quezon City, Philippines)

キーワード:Stereo-photogrammetry, 3D Reconstruction, Typhoon Monitoring

Typhoons are difficult to analyze because of their chaotic behavior. However, there is a need to analyze these extreme weather phenomena to help mitigate the damages that they cause. In addition, the frequencies and intensities of typhoons are getting higher due to warming temperature. According to studies, the essential parameters for estimating typhoon intensity from remote sensing are cloud morphology, cloud-top height, and cloud profiling information across the center of the storm. For stronger typhoons, the typhoon eye and eyewall are also more prominent, making them good indicators of typhoon intensity. Typhoons and cumulonimbus clouds that could cause torrential rains have different spatial and temporal scales. This discrepancy in scaling makes it difficult to analyze clouds using a single imaging source. Thermal infrared from meteorological satellites that measures cloud altitude are unreliable because of inconsistent atmospheric temperatures. Furthermore, radar sensors have insufficient spatial and temporal resolution to measure small cloud particles. These show that the current methods have limitations. In this research, a method was developed to analyze typhoons using stereo-photogrammetry from Diwata-2 microsatellite. The cloud-top altitude was then estimated from stereo-photogrammetric models and validated using Himawari-8 TIR and dropsonde data.

Diwata-2, one of the Philippines' microsatellite, captured multiple images of Typhoon Maysak, a Category 4 typhoon that hit Japan last September 2, 2020. Using these overlapping images, we reconstructed a precise three-dimensional model of a typhoon using the monocular camera setup of the satellite. The area coverage of the model is approximately 33,100 km2 with a ground resolution of 103 m/pix and a 2.64 pix RMS reprojection. It has a latitude range of 31.1°N to 32.2°N and longitude range of 126.1°E to 129.4°E. A maximum altitude of 16 km was estimated from the model which has an absolute difference of 1.2 km from the estimated cloud-top altitude using TIR. Although there are inconsistencies in the altitude profile between the two methods due to unknown camera rotations, the cloud structures observed are very similar. The result presented here is preliminary as multiple images of typhoon captured by Diwata-2 is currently under analysis. However, we aim to compare the cloud-top height of the 3D structure with the amount of lightning and precipitation. This could output insights on parameters that affect the intensity of typhoons.

This research was supported by SATREPS, funded by Japan Science and Technology Agency (JST) / Japan International Cooperation Agency (JICA).