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Welcome to Fujiang Ji's Webpage

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Fujiang Ji, Ph.D.

My name is Fujiang Ji, currently a Ph.D. student at the Department of Forest and Wildlife Ecology, University of Wisconsin-Madison. My current research focuses on leaf functional traits estimation, hyperspectral remote sensing, radiative transfer modeling and machine learning. Before joining UW-Madison, I earned a Master's degree in Cartography and Geographic Information System from Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. My master's research integrated process-based modeling, remote sensing and data assimilation to estimate crop yield, soil available nutrients, etc. Besides, I received a bachelor's degree in Remote Sensing Science and Technology from Chengdu University of Technology, Chengdu, China.

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Education

  • Doctor of Philosophy (Ph.D.）

Forestry, 2021 - present.

The University of Wisconsin-Madison, WI, U.S.

  • Master of Science (MSc.)

Cartography and Geographic Information System, 2018 - 2021.

Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.

  • Bachelor of Engineering (BEng.)

Remote sensing science and technology, 2014 - 2018.

Chengdu University of Technology, Chengdu, China.

Forest Trees

Research Interests

  • Leaf functional traits estimation

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  • Hyperspectral remote sensing

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  • UAV remote sensing

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  • Machine Learning

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  • Forest functional diversity

Forest

  • Crop yield estimation

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  • Radiative transfer modeling

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  • Land surface model (CLM)

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  • Crop growth processes modeling

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Barley Fields

Research Projects

  • The Sub-Project of China High-resolution Earth Observation System ---- Quantitative Retrieval Technology of Vegetation Parameters from GF-6 WFV Satellite Image, 2018-2019.

  • Precision Insurance of Wheat Based on Spatial Big Data, 2018-2019.

  • Crop Condition Remote Sensing Monitoring System Development and Capacity Building, 2018-2019.

  • The STS (Science and Technology Service Network Initiative) Program of Chinese Academy of Sciences, 2019-2020.

  • “Big Earth Data” Science Engineering Project of Chinese Academy of Sciences (CASEarth) ---- Big Earth Data Supports the U.N. Sustainable Development Goals (SDGs), 2020.

  • Inversion and Detection of Parameter of the Growing Status of Rice based on Hyperspectral Data” (PI), National College Students' innovation and entrepreneurship training program (Grant No. 201710616032), 2017-2018.

  • Research on Technologies Used to Demarcate Red-line Areas of Ecology in Major Districts and Counties of Sichuan Province, 10-11/2016.

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