Lin Yan
Assistant Professor
Office phone: (01) 517-432-4460
101C Manly Miles Building, East Lansing, MI 48823
Research Interests
Satellite data processing
Remote sensing based agriculture and aquaculture monitoring
Land cover and land use change (LCLUC)
Current research
Multi-decade crop field extraction in U.S.
Crop field and aquaculture pond extraction in smallholder regions in Asia
Geometric registration and correction of Landsat Multispectral Scanner (MSS) data
Characterization of aquacultural LCLUC in Asia
Education
Ph.D. 2011 The Ohio State University, Geodetic Science and Surveying Engineering
M.S. 2005 Tongji University, Photogrammetry and Remote Sensing
B.S. 2002 Tongji University, Surveying Engineering
Grants
• Drivers and constraints of land cover land use change in Asian aquaculture hotspots. Lin Yan (PI), Ben Benton, David P. Roy. NASA Land Cover/Land Use Change (LCLUC) Program, grant NNH22ZDA001N-LCLUC, January 2023 – December 2025.
• NASA ACRES: A Climate Resilient Ecosystem Approach to Strengthening US Agriculture. Alyssa K. Whitcraft (PI), Kaiyu Guan (Science PI), Kaitlin Gold, David P. Roy, Lin Yan, Anthony Vorster, Stanley Andrisse, Teamrat Ghezzehei, David Lobell, Roderick Rejesus, Todd Janzen, Yun Yang, Hannah Kerner, Inbal Becker-Reshef, Chris Justice, Yu Jiang, Steven Ogle, W. Dean Hively, Steven Mirsky, Ritvik Sahajpal, Michael Humber, Sergii Skakun, Matthew Hansen, Steven Wolf, Paul Evangelista, Chris Reberg-Horton, Mehdi Hosseini, Barbara Skudrzyk, Megan Machmuller, Kevin Jablonski, Joseph Foster. NASA Applied Science Program, A. 36 Earth Science Applications: Agriculture, NNH22ZDA001N-AG, January 2023 – December 2027.
• Forced and truncated agrarian transitions in Asia through the lens of field size change. Lin Yan (PI), David P. Roy, Jefferson Fox (East-West Center). NASA Land Cover/Land Use Change (LCLUC) Program, grant NNH18ZDA001N, January 2020 – December 2022.
• Pathfinding near real time moderate resolution land surface monitoring, looking forward to an operational Landsat 9/10 Sentinel 2A/2B era. David P. Roy (PI), Lin Yan, Hankui Zhang. U.S. Department of Interior, U.S. Geological Survey, grant G17PS00256, January 2018 – December 2022.
(Past)
• Sentinel-2/Landsat-8 automated registration software tool development to support the terrestrial moderate spatial resolution user community. Lin Yan (PI), David P. Roy. NASA Land Cover/Land Use Change (LCLUC) Multi-Source Land Imaging (MuSLI) program grant NNX17AB34G by an unsolicited proposal to NASA, November 2016 – November 2018.
Previous Appointments
2015 - 2019 Assistant Research Professor, South Dakota State University
2011 - 2015 Postdoc Fellow, Geospatial Sciences Center of Excellence, South Dakota State University
2010 Software Engineer Intern, ERDAS Inc.
Select Publications
• Hao, L., Zhang, H.K., Huang, B., Yan, L., Tran, K., Qiu, Y., Zhang, X., Roy, D. Self-supervised learning for interpolation (SSLI): Generating seamlessly harmonized Landsat Sentinel-2 (HLS) time series. Remote Sensing of Environment. In Press
• Crawford, C.J., Roy, D.P., Arab, S., Barnes, C., Vermote, E., Hulley, G., Gerace, A., Choate, M., Engebretson, C., Micijevic, E., Schmidt, G., Anderson, C., Anderson, M., Bouchard, M., Cook, B., Dittmeier, R., Howard, D., Jenkerson, C., Kim, M., Kleyians, T., Maiersperger, T., Mueller, C., Neigh, C., Page, B., Pahlevan, N., Rengarajan, R., Roger, J-C., Sayler, K., Scaramuzza, P., Skakun, S., Yan, L., Zhang, H., Zhu, Z., Zahn, S. (2023). The 50-year Landsat collection 2 archive, Science of Remote Sensing, 8, 100103.
• Yan, L., Roy, D.P., Promkhambut, P., Fox, J., Zhai, Y. (2022). Automated extraction of aquaculture ponds from Sentinel-2 seasonal imagery – a validated case study in central Thailand. Science of Remote Sensing, 6, 100063, https://doi.org/10.1016/j.srs.2022.100063
• Martins, V.S., Roy, D.P., Huang, H., Boschetti, L., Zhang, H.K., Yan, L. (2022). Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope. Remote Sensing of Environment, 280, 113203, https://doi.org/10.1016/j.rse.2022.113203
• Zhai, Y, Roy, D.P., Martins, V.S., Zhang, H.K., Yan, L., Li, Z. Conterminous United States Landsat 8 top of atmosphere and surface reflectance Tasseled cap transformation coefficients. Remote Sensing of Environment. https://www.sciencedirect.com/science/article/pii/S0034425722001067
• Yan, L. and Roy, D.P. (2021). Improving Landsat Multispectral Scanner (MSS) geolocation by least-squares-adjustment based time-series co-registration. Remote Sensing of Environment, 252. https://doi.org/10.1016/j.rse.2020.112181
• Yan, L. and Roy, D.P. (2020). Spatially and temporally complete Landsat reflectance time series modelling: the fill-and-fit approach. Remote Sensing of Environment. 241. https://www.sciencedirect.com/science/article/pii/S0034425720300870
SAMSTS gap filling source code in C is below under (Yan and Roy 2018).
• Roy, D.P. and Yan, L. (2020). Robust Landsat-based crop time series modelling. Remote Sensing of Environment, 238. https://doi.org/10.1016/j.rse.2018.06.038
• Roy, D.P., Huang, H., Boschetti, L., Giglio, L., Yan, L., Zhang, H.H. and Li, Z. (2019). Landsat-8 and Sentinel-2 burned area mapping-A combined sensor multi-temporal change detection approach. Remote Sensing of Environment, 231, 111254.
• Yan, L. and Roy, D.P. (2018). Large-area gap filling of Landsat reflectance time series by spectral-angle-mapper based spatio-temporal similarity (SAMSTS). Remote Sensing. 10(4), 609; doi:10.3390/rs10040609 (http://www.mdpi.com/2072-4292/10/4/609). In special issue "Science of Landsat Analysis Ready Data".
• Yan, L., Roy, D.P., Li, J., Zhang, H.K., Huang, H. (2018). Sentinel-2A multi-temporal misregistration characterization and an orbit-based sub-pixel registration methodology. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2018.04.021. In special issue "Science and Applications with Sentinel-2".
• Zhang, H.K., Roy, D.P., Yan, L., Li, Z., Huang, H., Vermote, E., Skakun, S., Roger, J-C. (2018). Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, nadir BRDF adjusted reflectance and NDVI differences. Remote Sensing of Environment, 215, 482-494.
• Yan, L., Roy, D.P., Zhang, H.K., Li, J., Huang, H. (2016). An automated approach for sub-pixel registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery. Remote Sensing, 8(6), 520; doi:10.3390/rs8060520 (http://www.mdpi.com/2072-4292/8/6/520). In special issue "First Experiences with European Sentinel-2 Multi-Spectral Imager (MSI)".
• Yan, L. and Roy, D.P. (2016). Conterminous United States crop field size quantification from multi-temporal Landsat data. Remote Sensing of Environment, 172, 67-86. (http://dx.doi.org/10.1016/j.rse.2015.10.034).
2010 Uinted States CONUS mean crop field size per state (uint: ha = 10000 square meters)