Shijuan Chen, PhD
Postdoctoral Associate
Yale School of the Environment

My name is Shijuan Chen. I am a postdoctoral associate at Yale University, advised by Dr. Karen Seto. I got my PhD in Earth and Environment at Boston University, advised by Dr. Curtis Woodcock and Dr. Pontus Olofsson. My research focuses on using remote sensing technology to monitor terrestrial ecosystems. My research interests include:
- Land cover and land use change
- Time series analysis
- Deforestation and forest degradation
- Carbon cycle
- Urban ecology
- Urban heat island
I have been involved in research projects funded by NASA (National Aeronautics and Space Administration), USGS (United States Geological Survey), Boston University, and NSERC (Natural Sciences and Engineering Research Council of Canada), SilvaCarbon and NASA SERVIR.

Postdoctoral Associate (previously held)
Boston University College of Arts and Sciences
Earth & Environment

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Chen S, Olofsson P, Saphangthong T, Woodcock CE. Monitoring shifting cultivation in Laos with Landsat time series. Remote Sensing of Environment. 2023; 288. View Publication
  2. Chen S, Olofsson P, Saphangthog T, Woodcock C. Monitoring shifting cultivation in Laos by combining time series analysis and object-based analysis. 2022. View Publication
  3. Zhang Y, Woodcock CE, Chen S, Wang JA, Sulla-Menashe D, Zuo Z, Olofsson P, Wang Y, Friedl MA. Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data. Remote Sensing of Environment. 2022; 272. View Publication
  4. Cortner O, Chen S, Olofsson P, Gollnow F, Torchinava P, Garrett RD. What Drives Forest Degradation in Post-Soviet Landscapes?. 2022.
  5. Chen S, Woodcock CE, Bullock EL, Arevalo P, Torchinava P, Peng S, Olofsson P. Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis. Remote Sensing of Environment. 2021; 265. View Publication
  6. Chen S, McDermid GJ, Castilla G, Linke J. Measuring vegetation height in linear disturbances in the boreal forest with UAV photogrammetry. Remote Sensing. 2017; 9(12):1257. View Publication

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 6 publications over 4 distinct years, with a maximum of 3 publications in 2022


2020-2022 NASA: CMS (Carbon Monitoring System) project
2020 Boston University, USA: Lovison-Golob Research Fund for Remote Sensing ($1000)
2018-2022 NASA: LCLUC (Land Cover and Land Use Change) project
2017-2019 NASA: ABoVE (Arctic Boreal Vulnerability Experiment) project
2016 University of Calgary, Canada: Geography Excellent Awards
2015-2017 Natural Sciences and Engineering Research Council of Canada: (Collaborative Research and Development project
2015 University of Calgary: Geography Excellent Awards
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