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大気水圏科学(A)
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セッション小記号
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計測技術・研究手法(TT)
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セッションID
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A-TT50
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タイトル
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和文
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Soil and Water Monitoring through Innovative Sensing Technologies under Climate Change
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英文
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Soil and Water Monitoring through Innovative Sensing Technologies under Climate Change
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タイトル短縮名
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和文
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Soil Water Monitoring
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英文
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Soil Water Monitoring
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代表コンビーナ
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氏名
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和文
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Wendi Wang
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英文
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Wendi Wang
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所属
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和文 |
Department of Land, Environment, Agriculture and Forestry, University of Padova, |
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英文
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Department of Land, Environment, Agriculture and Forestry, University of Padova,
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共同コンビーナ 1
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氏名
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和文
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Eugenio Straffelini
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英文
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Eugenio Straffelini
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所属
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和文
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Department of Land, Environment, Agriculture and Forestry, University of Padova, 35020 Legnaro, PD, Italy
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英文
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Department of Land, Environment, Agriculture and Forestry, University of Padova, 35020 Legnaro, PD, Italy
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共同コンビーナ 2
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氏名
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和文
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Fangxin Chen
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英文
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Fangxin Chen
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所属
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和文
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8.61851E+12
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英文
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8.61851E+12
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共同コンビーナ 3
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氏名
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和文
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Sara Cucchiaro
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英文
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Sara Cucchiaro
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所属
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和文
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University of Udine, Department of Agricultural, Food, Environmental and Animal Sciences
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英文
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University of Udine, Department of Agricultural, Food, Environmental and Animal Sciences
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共同コンビーナ 4
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氏名
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和文
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Manel Llena
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英文
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Manel Llena
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所属
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和文
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University of Lleida
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英文
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University of Lleida
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共同コンビーナ 5
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氏名
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和文
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Paolo Tarolli
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英文
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Paolo Tarolli
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所属
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和文
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University of Padova
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英文
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University of Padova
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発表言語
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E
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スコープ
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和文
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Climate extremes and unsustainable land use are disrupting soil and water systems, accelerating degradation, and threatening food and water security, addressing these issues requires continuous monitoring and integration of multi scale data, advances in sensing technologies, artificial intelligence AI, and data analytics offer new ways to observe Earth surface processes, improve predictions, and understand soil water interactions.
This session invites studies developing or applying innovative sensing and monitoring approaches for soil and soil water dynamics across spatial and temporal scales, contributions using in situ sensors, UAVs, airborne platforms, or satellite data are welcome, as well as studies integrating multiple geospatial datasets such as LiDAR, photogrammetry, and remote sensing for modelling and scenario analysis under changing environmental conditions.
Topics include but not limited :
Proximal and remote sensing for soil and water monitoring
Multi source data fusion and integration
AI and machine learning in soil water studies
Linking sensing data with models
Decision support tools based on sensing and modelling.
Interdisciplinary and early career contributions are encouraged.
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英文
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Climate extremes and unsustainable land use are disrupting soil and water systems, accelerating degradation, and threatening food and water security, addressing these issues requires continuous monitoring and integration of multi scale data, advances in sensing technologies, artificial intelligence AI, and data analytics offer new ways to observe Earth surface processes, improve predictions, and understand soil water interactions.
This session invites studies developing or applying innovative sensing and monitoring approaches for soil and soil water dynamics across spatial and temporal scales, contributions using in situ sensors, UAVs, airborne platforms, or satellite data are welcome, as well as studies integrating multiple geospatial datasets such as LiDAR, photogrammetry, and remote sensing for modelling and scenario analysis under changing environmental conditions.
Topics include but not limited :
Proximal and remote sensing for soil and water monitoring
Multi source data fusion and integration
AI and machine learning in soil water studies
Linking sensing data with models
Decision support tools based on sensing and modelling.
Interdisciplinary and early career contributions are encouraged.
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発表方法
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口頭および（または）ポスターセッション
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