ユニオン(U)
セッション小記号 ユニオン
セッションID U-04
タイトル 和文 Geospatial Applications for Societal Benefits
英文 Geospatial Applications for Societal Benefits
タイトル短縮名 和文 Geospatial Applications
英文 Geospatial Applications
代表コンビーナ 氏名 和文 Abdul Rashid Bin Mohamed Shariff
英文 Abdul Rashid Bin Mohamed Shariff
所属 和文 Universiti Putra Malaysia
英文 Universiti Putra Malaysia
共同コンビーナ 1 氏名 和文 高橋 幸弘
英文 Yukihiro Takahashi
所属 和文 北海道大学・大学院理学院・宇宙理学専攻
英文 Department of Cosmosciences, Graduate School of Science, Hokkaido University
共同コンビーナ 2 氏名 和文 Gay Jane Perez
英文 Gay Jane Perez
所属 和文 Philippine Space Agency
英文 Philippine Space Agency
発表言語 E
スコープ 和文
This session is a continuation of the geospatial applications sessions held in the previous three JpGu meetings. With current challenges such as climate change facing the world and impacting upon food security, the need for geospatial solutions which can benefit society is of greater urgency than before.  The greater use of artificial intelligence to analyze geospatial data acquired through remote sensing, GNSS and GIS provides promising alternatives to traditional approaches. Papers are invited in the areas of natural resources (excluding mineral resources and geology), environment, and agriculture with particular emphasis on geospatial applications to address the areas of concern in these fields. Innovative legal approaches and policies are welcome. The use of micro-satellites, conventional satellites, airborne, UAV, and related geospatial technologies are highly encouraged. On-going micro-satellite applications as well as potential geospatial applications are welcome.  The conveners of this session hope to create greater motivation, excitement, and effort to promote further the geospatial applications field through presentations in this session. This session is a collaboration between members of the Institution of Geospatial and Remote Sensing Malaysia (IGRSM), Japan Geoscience Union (JpGU), Philippine Geosciences and Remote Sensing Society (PhilGRSS), Philippine Environmental Science Association (PESA), Geological Society of the Philippines (GSP). and the Mongolian Physical Society (MPS).
英文
This session is a continuation of the geospatial applications sessions held in the previous three JpGu meetings. With current challenges such as climate change facing the world and impacting upon food security, the need for geospatial solutions which can benefit society is of greater urgency than before.  The greater use of artificial intelligence to analyze geospatial data acquired through remote sensing, GNSS and GIS provides promising alternatives to traditional approaches. Papers are invited in the areas of natural resources (excluding mineral resources and geology), environment, and agriculture with particular emphasis on geospatial applications to address the areas of concern in these fields. Innovative legal approaches and policies are welcome. The use of micro-satellites, conventional satellites, airborne, UAV, and related geospatial technologies are highly encouraged. On-going micro-satellite applications as well as potential geospatial applications are welcome.  The conveners of this session hope to create greater motivation, excitement, and effort to promote further the geospatial applications field through presentations in this session. This session is a collaboration between members of the Institution of Geospatial and Remote Sensing Malaysia (IGRSM), Japan Geoscience Union (JpGU), Philippine Geosciences and Remote Sensing Society (PhilGRSS), Philippine Environmental Science Association (PESA), Geological Society of the Philippines (GSP). and the Mongolian Physical Society (MPS).
発表方法 口頭および(または)ポスターセッション
招待講演 Badamgarav Enkhbayar (Hokkaido university )
Dinesh Sathhyamoorthy (Science and Technology Research Institute for Defence)
杉山 玄己 (北海道大学大学院理学院 宇宙理学専攻)
時間 講演番号 タイトル 発表者
口頭発表 5月30日 PM1
13:45 - 14:00 U04-01 Tree Species Classification Using a UAV-Mounted Spectrometer Badamgarav Enkhbayar
14:00 - 14:15 U04-02 Application of Remote Sensing, Machine Learning, and Spectral Measurement for Coffee Leaf Rust Early Detection and Classification in Rwanda Jean De Dieu Byiringiro
14:15 - 14:30 U04-03 Ganoderma Diseases Detection on Oil Palm using Optical Remote Sensing Muhammad Arif Yusuf
14:30 - 14:45 U04-04 Bagworm Detection in Oil Palm using Imaging Technology Siti Nurul Afiah Mohd Johari
14:45 - 15:00 U04-05 Biomass Estimation of Rice Plants under Different Nitrogen Fertilizer Treatments based on spectral Indices San Lin Phyo
15:00 - 15:15 U04-06 From Color to Oil Content: Smart Technologies for Oil Palm Maturity Grading Abdul Rashid Bin Mohamed Shariff
口頭発表 5月30日 PM2
15:30 - 15:45 U04-07 EVALUATING THE EFFECT OF RADIO FREQUENCY INTERFERENCE (RFI) AND SPOOFING ON HIGH PRECISION GNSS Dinesh Sathhyamoorthy
15:45 - 16:00 U04-08 Real-Time 4-Band Spectral Camera: Development and Field Applications for Environmental Measurements アハマド シャケル モハマド タヘル
16:00 - 16:15 U04-09 Engaging Citizens in PPGIS to Develop Solutions for Disaster Recovery Diane Marie Styers
16:15 - 16:30 U04-10 Machine Learning for Urban Resilience: Landslide Susceptibility Assessment in Klang Valley, Kuala Lumpur Mohammed Arkan Majeed
16:30 - 16:45 U04-11 Remote Sensing-Based Analysis of Mongolian Gazelle Migration and Habitat Selection in Relation to Vegetation Productivity Bayarsaikhan Uudus
16:45 - 17:00 U04-12 Digitizing Philippine Agriculture through GIS and RS for monitoring, early warning, and post-disaster assessment Maria Regina Villena Regalado
講演番号 タイトル 発表者
ポスター発表 5月30日 PM3
U04-P01 小型衛星からの近赤外イメージングによる陸域及び海上での水蒸気分布の推定 杉山 玄己
U04-P02 Plastic and Wood Discrimination in Marine Debris Detection Using
Hyperspectral Band Selection
Ye Min Htay
U04-P03 Assessment of Air Quality and its Impact on Health in Delhi, India using Geo-Spatial Techniques Muhammad Shamim
U04-P04 Identifying Potential OECMs of Coastal Regions in Taiwan by Automatic Identification System Chen-Yi Wu
U04-P05 High Spatial Resolution Binary Burned Area Maps for Rapid Community Recovery from Wildfires Emily Gargulinski
U04-P06 Mapping Disaster Areas Using Satellite Images, Web Processing Service and Machine Learning Algorithms Bandibas Joel
U04-P07 DEVELOPMENT OF AN AUTOMATED MULTIPLE OBJECT DETECTION (AMOD) TECHNIQUE FOR SCANNED TOPOGRAPHIC MAPS USING DEEP LEARNING Saiful Anuar Jaafar
U04-P08 The Ulz River land cover and land use classification Bayarsaikhan Uudus
U04-P09 Optimizing Observation Angles for Vegetation capturing in the Gobi Desert Using multispectral LCTF Imaging Begzsuren Tumendemberel
U04-P10 Automated measurement of angular solar and sky illumination for remote sensing calibration using a motorized spectrometer Garid Zorigoo