Lin Yan
Lin Yan
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Associate Professor
Associate Professor
Office phone: (01) 517-432-4460
Office phone: (01) 517-432-4460
101C Manly Miles Building, East Lansing, MI 48823
101C Manly Miles Building, East Lansing, MI 48823
Research Interests
Research Interests
Multi-source satellite data harmonization (geometric and radiometric)
Multi-source satellite data harmonization (geometric and radiometric)
Agriculture and aquaculture remote sensing
Agriculture and aquaculture remote sensing
Land cover and land use change (LCLUC)
Land cover and land use change (LCLUC)
Current research
Current research
Multi-annual crop field extraction in U.S.
Multi-annual crop field extraction in U.S.
Crop field and aquaculture pond extraction in smallholder regions in Asia
Crop field and aquaculture pond extraction in smallholder regions in Asia
Geometric registration and correction of Landsat Multispectral Scanner (MSS) data
Geometric registration and correction of Landsat Multispectral Scanner (MSS) data
Characterization of aquacultural LCLUC in Asia
Characterization of aquacultural LCLUC in Asia
Education
Education
Ph.D. The Ohio State University, Geodetic Science and Surveying Engineering
Ph.D. The Ohio State University, Geodetic Science and Surveying Engineering
M.S. Tongji University, Photogrammetry and Remote Sensing
M.S. Tongji University, Photogrammetry and Remote Sensing
B.S. Tongji University, Surveying Engineering
B.S. Tongji University, Surveying Engineering
Grants
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, 2023 – 2026.
• 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, 2023 – 2028.
• A Five-Decade Multi-Sensor Global Burned Area Data Record. Louis Giglio (PI), David Roy, Joanne V. Hall, Maria Zubkova, Andrés E. Santamaría-Artigas, Haiyan Huang, Lin Yan. NASA Making Earth System Data Records for Use in Research Environments Program grant NNH22ZDA001N-MEASURES. 2023 - 2027.
(Past)
(Past)
• 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, 2020 – 2024.
• 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, 2020 – 2024.
• Landsat satellites data system cal/val. David P. Roy, Lin Yan. U.S. Geological Survey contracted via KBR Inc., 2020 - 2024.
• Pathfinding near real time moderate resolution land surface monitoring, looking forward to an operational Landsat 9/10 Sentinel 2A/2B era. David P. Roy, Lin Yan, Hankui Zhang. U.S. Department of Interior, U.S. Geological Survey, grant G17PS00256, 2018 – 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, Lin Yan, Hankui Zhang. U.S. Department of Interior, U.S. Geological Survey, grant G17PS00256, 2018 – 2022.
• 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, 2016 – 2018.
• 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, 2016 – 2018.
Previous Appointments
Previous Appointments
2015 - 2019 Assistant Research Professor, South Dakota State University
2015 - 2019 Assistant Research Professor, South Dakota State University
2011 - 2015 Postdoc Fellow, Geospatial Sciences Center of Excellence, South Dakota State University
2011 - 2015 Postdoc Fellow, Geospatial Sciences Center of Excellence, South Dakota State University
2010 Software Engineer Intern, ERDAS Inc.
2010 Software Engineer Intern, ERDAS Inc.
Select Publications
Select Publications
• Yan, L., Roy, D.P. (2025). Using Landsat 8 and 9 Operational Land Imager (OLI) data to characterize geometric distortion and improve geometric correction of Landsat Multispectral Scanner (MSS) imagery. Remote Sensing of Environment, 321, 114679. https://doi.org/10.1016/j.rse.2025.114679
• Yan, L., Roy, D.P. (2025). Using Landsat 8 and 9 Operational Land Imager (OLI) data to characterize geometric distortion and improve geometric correction of Landsat Multispectral Scanner (MSS) imagery. Remote Sensing of Environment, 321, 114679. https://doi.org/10.1016/j.rse.2025.114679
• Cho, M-S., Roy, D.P., Kashongwe, H.B., Yan, L., Shen, M. (2025). Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests, Science of Remote Sensing. In Press.
• Cho, M-S., Roy, D.P., Kashongwe, H.B., Yan, L., Shen, M. (2025). Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests, Science of Remote Sensing. In Press.
• Tan, W., Wang, X., Yan, L., Yi, J., Xia, T., Zeng, Z., Yu, G., Chai, M., Velpuri, N., Thaneerat, A. (2024). Mapping rice-crayfish co-culture (RCC) fields with Sentinel-1 and -2 time series in China’s primary crayfish production region Jianghan Plain. Science of Remote Sensing. https://doi.org/10.1016/j.srs.2024.100151.
• Tan, W., Wang, X., Yan, L., Yi, J., Xia, T., Zeng, Z., Yu, G., Chai, M., Velpuri, N., Thaneerat, A. (2024). Mapping rice-crayfish co-culture (RCC) fields with Sentinel-1 and -2 time series in China’s primary crayfish production region Jianghan Plain. Science of Remote Sensing. https://doi.org/10.1016/j.srs.2024.100151.
• Hao, L., Zhang, H.K., Huang, B., Yan, L., Tran, K., Qiu, Y., Zhang, X., Roy, D. (2024). Self-supervised learning for interpolation (SSLI): Generating seamlessly harmonized Landsat Sentinel-2 (HLS) time series. Remote Sensing of Environment, 308, 114191.
• Hao, L., Zhang, H.K., Huang, B., Yan, L., Tran, K., Qiu, Y., Zhang, X., Roy, D. (2024). Self-supervised learning for interpolation (SSLI): Generating seamlessly harmonized Landsat Sentinel-2 (HLS) time series. Remote Sensing of Environment, 308, 114191.
• 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.
• 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
• 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
• 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. (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
• 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. 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.
• 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. 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".
• 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.
• 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., 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).
• 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)
• Yan, L. and Roy, D.P. (2015). Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction. Remote Sensing of Environment, 158, 478-491. (http://dx.doi.org/10.1016/j.rse.2014.11.024)
• Yan, L. and Roy, D.P. (2015). Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction. Remote Sensing of Environment, 158, 478-491. (http://dx.doi.org/10.1016/j.rse.2014.11.024)
• Yan, L. and Roy, D.P. (2014) Automated crop field extraction from multi-temporal Web Enabled Landsat Data, Remote Sensing of Environment. 144, 42-64. (http://dx.doi.org/10.1016/j.rse.2014.01.006)
• Yan, L. and Roy, D.P. (2014) Automated crop field extraction from multi-temporal Web Enabled Landsat Data, Remote Sensing of Environment. 144, 42-64. (http://dx.doi.org/10.1016/j.rse.2014.01.006)
• Yan, L. and Niu, X. (2014). Spectral-angle-based Laplacian Eigenmaps for nonlinear dmensionality reduction of hyperspectral imagery. Photogrammetric Engineering & Remote Sensing, 80, 849-861.
• Yan, L. and Niu, X. (2014). Spectral-angle-based Laplacian Eigenmaps for nonlinear dmensionality reduction of hyperspectral imagery. Photogrammetric Engineering & Remote Sensing, 80, 849-861.
• Li, R., Yan, L., Di, K., and Wu, B. (2008). A new ground-based stereo panoramic scanning system. The XXIth ISPRS Congress, Beijing, China, July 3-11, 2008, 6 p.
• Li, R., Yan, L., Di, K., and Wu, B. (2008). A new ground-based stereo panoramic scanning system. The XXIth ISPRS Congress, Beijing, China, July 3-11, 2008, 6 p.
Select Presentations
Select Presentations
• Yan, L., Roy, D.P. Precise sub-field boundary delineation using medium- and high-resolution satellite imagery in U.S. agricultural regions, AAG Annual Meeting, Detroit, MI, March 24-28, 2025.
• Yan, L., Roy, D.P. Precise sub-field boundary delineation using medium- and high-resolution satellite imagery in U.S. agricultural regions, AAG Annual Meeting, Detroit, MI, March 24-28, 2025.
• Yan, L., Belton, B., Roy, D.P., Baldiga, L., Thaneerat, A., Preliminary results on drivers and constraints of land cover land use change in Asian aquaculture hotspots, NASA Land Cover Land Use Change (LCLUC) Science Team Meeting, Gaithersburg, MD, April 2-4, 2024.
• Yan, L., Belton, B., Roy, D.P., Baldiga, L., Thaneerat, A., Preliminary results on drivers and constraints of land cover land use change in Asian aquaculture hotspots, NASA Land Cover Land Use Change (LCLUC) Science Team Meeting, Gaithersburg, MD, April 2-4, 2024.
• Yan, L., Roy, D.P., Crop field extraction in smallholder regions in Asia from commercial high-spatial-resolution satellite imagery, Fall Meeting, AGU, San Fransisco, CA, December 11-15, 2023.
• Yan, L., Roy, D.P., Crop field extraction in smallholder regions in Asia from commercial high-spatial-resolution satellite imagery, Fall Meeting, AGU, San Fransisco, CA, December 11-15, 2023.
• Yan, L., Roy, D.P., Multi-annual CONUS-wide crop field boundary delineation. NASA ACRES Kickoff Meeting, St Louis, Missouri, November 2-3, 2023.
• Yan, L., Roy, D.P., Multi-annual CONUS-wide crop field boundary delineation. NASA ACRES Kickoff Meeting, St Louis, Missouri, November 2-3, 2023.
• Yan, L., Roy, D.P., Choate, M., Rengarajan, R. Future needs for USGS Landsat MSS processing. Spring 2023 USGS-NASA Landsat Science Team Meeting, Reno, Nevada, February 7-9, 2023.
• Yan, L., Roy, D.P., Choate, M., Rengarajan, R. Future needs for USGS Landsat MSS processing. Spring 2023 USGS-NASA Landsat Science Team Meeting, Reno, Nevada, February 7-9, 2023.
• Yan, L. Satellite remote sensing and its usages in geography. Outreach seminar at Hiawatha Elementary School, Okemos, Michigan, December 1st 2022.
• Yan, L. Satellite remote sensing and its usages in geography. Outreach seminar at Hiawatha Elementary School, Okemos, Michigan, December 1st 2022.
• Yan, L., Roy, D.P. Extracting fields from space – a novel lens on the changing global landscape. Pecora Conference 2022, Denver, Colorado, October 23-28, 2022.
• Yan, L., Roy, D.P. Extracting fields from space – a novel lens on the changing global landscape. Pecora Conference 2022, Denver, Colorado, October 23-28, 2022.
• Yan, L., Mapping Fields from Space: A Novel Lens on the Changing Global Landscape. CGCEO Seminar Series, March 9, 2022.
• Yan, L., Mapping Fields from Space: A Novel Lens on the Changing Global Landscape. CGCEO Seminar Series, March 9, 2022.
• Yan, L., Forced and truncated agrarian transitions in Asia through the lens of field size change. NASA LCLUC SARI (South/Southeast Asia Research Initiative) Webinar Series, Oct. 2, 2020.
• Yan, L., Forced and truncated agrarian transitions in Asia through the lens of field size change. NASA LCLUC SARI (South/Southeast Asia Research Initiative) Webinar Series, Oct. 2, 2020.
• Yan, L., Roy, D.P., Improving Landsat MSS Geometry: Least-square-adjustment based time-series registration. Summer 2019 USGS-NASA Landsat Science Team Meeting, U.S. Geological Survey EROS, Sioux Falls, South Dakota, June 19-21, 2019.
• Yan, L., Roy, D.P., Improving Landsat MSS Geometry: Least-square-adjustment based time-series registration. Summer 2019 USGS-NASA Landsat Science Team Meeting, U.S. Geological Survey EROS, Sioux Falls, South Dakota, June 19-21, 2019.
• Yan, L., Roy, D.P., Field Size Estimation, Past and Future Opportunities, in Emerging Technologies and Methods in Earth Observation for Agricultural Monitoring Workshop, Beltsville, Maryland, February 13-15, 2018.
• Yan, L., Roy, D.P., Field Size Estimation, Past and Future Opportunities, in Emerging Technologies and Methods in Earth Observation for Agricultural Monitoring Workshop, Beltsville, Maryland, February 13-15, 2018.
• Yan, L., Roy, D.P., Huang, H., Li, Z., Zhang, H.K., Operational Sentinel-2A L1C and Landsat-8 Collection-1 Time-series Registration, in Landsat/Sentinel Cross-Calibration session, PECORA 20 conference, Sioux Falls, South Dakota, November 14-16, 2017.
• Yan, L., Roy, D.P., Huang, H., Li, Z., Zhang, H.K., Operational Sentinel-2A L1C and Landsat-8 Collection-1 Time-series Registration, in Landsat/Sentinel Cross-Calibration session, PECORA 20 conference, Sioux Falls, South Dakota, November 14-16, 2017.
• Yan, L., Roy, D.P, Sentinel-2/Landsat-8 automated registration software tool development to support the terrestrial moderate spatial resolution user community. NASA LCLUC Science Team Meeting, Rockville, MD, April 12-14, 2017.
• Yan, L., Roy, D.P, Sentinel-2/Landsat-8 automated registration software tool development to support the terrestrial moderate spatial resolution user community. NASA LCLUC Science Team Meeting, Rockville, MD, April 12-14, 2017.
• Yan, L., Roy, D.P., Robust gap filling of Landsat reflectance time series by spectral-angle-mapper based spatio-temporal similarity – demonstration over dynamic U.S. agricultural landscapes. Landsat Science Team Meeting, Brookings, SD, July 26-28, 2016.
• Yan, L., Roy, D.P., Robust gap filling of Landsat reflectance time series by spectral-angle-mapper based spatio-temporal similarity – demonstration over dynamic U.S. agricultural landscapes. Landsat Science Team Meeting, Brookings, SD, July 26-28, 2016.
• Yan, L., Roy, D.P., Conterminous United States crop field extraction from multi-temporal Landsat data. Fall Meeting, AGU, San Francisco, CA, Dec. 14-18, 2015.
• Yan, L., Roy, D.P., Conterminous United States crop field extraction from multi-temporal Landsat data. Fall Meeting, AGU, San Francisco, CA, Dec. 14-18, 2015.
• Yan, L., Roy, D.P., Mapping and monitoring field sizes from satellite time series. AAG Annual Meeting, Chicago, IL, April 21-25, 2015.
• Yan, L., Roy, D.P., Mapping and monitoring field sizes from satellite time series. AAG Annual Meeting, Chicago, IL, April 21-25, 2015.
• Yan, L., Roy, D.P., Automated agricultural field extraction from multi-temporal Web Enabled Landsat Data. Fall Meeting, AGU, San Francisco, CA, Dec. 3-7, 2012.
• Yan, L., Roy, D.P., Automated agricultural field extraction from multi-temporal Web Enabled Landsat Data. Fall Meeting, AGU, San Francisco, CA, Dec. 3-7, 2012.
• Li., R., Yan, L., He, S., Hwangbo, J., Chen, Y., Tang, M., Wang, W., Tang, P., Lawver, J., Thomas, P.C., Robinson, M., Photogrammetric techniques for terrain model generation from LROC NAC images. ISPRS 2010 Fall Conference, Orlando, FL, Nov. 15-19, 2010.
• Li., R., Yan, L., He, S., Hwangbo, J., Chen, Y., Tang, M., Wang, W., Tang, P., Lawver, J., Thomas, P.C., Robinson, M., Photogrammetric techniques for terrain model generation from LROC NAC images. ISPRS 2010 Fall Conference, Orlando, FL, Nov. 15-19, 2010.
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