LIAN Maychee

Researcher Name: LIAN Maychee

Div (Section) name/title: Center for Climate Change Adaptation(Climate Change Adaptation Strategy Research Section)/Junior Research Associate

Research Subject: Research on climate change adaptation and disaster risk assessment

Degree(s): Master

Professional Qualification(s): Geography

Environmental Speciality Field: geoinformation science

Membership of Academic Society: Association of Japanese Geographers (AJG),GIS Association of Japan

Research Subject

Fiscal Year: 2025
- 27235 : Research to enhance adaptation strategies and practices based on scientific projections
- 27245 : Climate change adaptation domain: Foresight and Advanced Basic Research
- 27363 : Intellectual research infrastructure development:Systematic monitoring, development of information on impact prediction and adaptation, and development of tools in the field of climate change adaptation
Fiscal Year: 2024
- 26850 : Research to enhance adaptation strategies and practices based on scientific projections
- 26860 : Climate change adaptation domain: Foresight and Advanced Basic Research
- 27100 : Intellectual research infrastructure development:Systematic monitoring, development of information on impact prediction and adaptation, and development of tools in the field of climate change adaptation
- 27110 : Development of an Integrated Database and Analysis Tools for Supporting Adaptation Planning
Fiscal Year: 2023
- 26437 : Research to enhance adaptation strategies and practices based on scientific projections
- 26451 : Climate change adaptation domain: Foresight and Advanced Basic Research
- 26674 : Development of an Integrated Database and Analysis Tools for Supporting Adaptation Planning
- 26736 : Intellectual research infrastructure development:Systematic monitoring, development of information on impact prediction and adaptation, and development of tools in the field of climate change adaptation
- 26752 : Intellectual research infrastructure development: Joint research on climate change adaptation with local climate change adaptation centers
Fiscal Year: 2022
- 26003 : Research to enhance adaptation strategies and practices based on scientific projections
- 26021 : Climate change adaptation domain: Foresight and Advanced Basic Research
- 26156 : Development of an Integrated Database and Analysis Tools for Supporting Adaptation Planning
- 26293 : Intellectual research infrastructure development:Systematic monitoring, development of information on impact prediction and adaptation, and development of tools in the field of climate change adaptation
- 26294 : Intellectual research infrastructure development: Joint research on climate change adaptation with local climate change adaptation centers
Fiscal Year: 2021
- 25537 : Research to enhance adaptation strategies and practices based on scientific projections
- 25673 : Climate change adaptation domain: Foresight and Advanced Basic Research
- 25674 : Intellectual research infrastructure development:Systematic monitoring, development of information on impact prediction and adaptation, and development of tools in the field of climate change adaptation
- 25697 : Intellectual research infrastructure development: Joint research on climate change adaptation with local climate change adaptation centers
- 25730 : Evaluating microbial water quality of major rivers using remote sensing technologies
- 25880 : Development of an Integrated Database and Analysis Tools for Supporting Adaptation Planning
Fiscal Year: 2020
- 25184 : Studies on Adaptation Strategies Considering Social Change
- 25241 : Evaluating microbial water quality of major rivers using remote sensing technologies

Research Result (Publication)

all
Original Paper

Original Paper
Predicting first flowering and full blossom dates of Yoshino cherry (Cerasus ×ばつ yedoensis 'Somei-yoshino') in Japan using machine learning algorithms

Presenter : Masago Y., Lian M.
Title : , Ecological Informatics, 71:101835 (2022)

Predicting first flowering and full blossom dates of Yoshino cherry (Cerasus ×ばつ yedoensis 'Somei-yoshino') in Japan using machine learning algorithms

Presenter : Masago Y., Lian M.
Title : , Ecological Informatics, 71:101835 (2022)

LIAN Maychee

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