(* denotes equal contribution. please see Google Scholar for an up-to-date list of publications.)


  1. Preprint
    Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2
    Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, and 3 more authors
    Under review, Preprint
  2. Preprint
    Current benefits of wildfire smoke for yields in the US Midwest may dissipate by 2050
    A. Patrick Behrer, and Sherrie Wang
    Under review, Preprint
  3. Preprint
    Meta-learning to address diverse Earth observation problems across resolutions
    Marc Russwurm, Sherrie Wang, Benjamin Kellenberger, and 2 more authors
    Under review, Preprint
  4. Book Chapter
    Chapter A1.1: Agricultural Applications
    Sherrie Wang, and George Azzari
    In Cloud-Based Remote Sensing with Google Earth Engine, Preprint




      1. Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
        Sherrie Wang, Francois Waldner, and David B. Lobell
        Remote Sensing, 2022
      2. ES&T
        Daily local-level estimates of ambient wildfire smoke PM2.5 for the contiguous US
        Marissa Childs, Jessica Li, Jeffrey Wen, and 7 more authors
        Environmental Science & Technology, 2022
      3. RS
        Mapping sugarcane in central India with smartphone crowdsourcing
        Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, and 4 more authors
        Remote Sensing, 2022


      1. SustainBench: Benchmarks for monitoring the Sustainable Development Goals with machine learning
        Christopher Yeh*, Chenlin Meng*, Sherrie Wang*, and 7 more authors
        NeurIPS Datasets and Benchmarks Track, 2021
      2. ERL
        Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
        Stefania Di Tommaso, Sherrie Wang, and David B. Lobell
        Environmental Research Letters, 2021
      3. RSE
        Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
        Dan M. Kluger, Sherrie Wang, and David B. Lobell
        Remote Sensing of Environment, 2021


      1. Mapping crop types in southeast India with smartphone crowdsourcing and deep learning
        Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, and 4 more authors
        Remote Sensing, 2020
      2. Sci Data
        Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive
        Sherrie Wang, Stefania Di Tommaso, Jillian M. Deines, and 1 more author
        Scientific Data, 2020
      3. Meta-learning for few-shot land cover classification
        Marc Rußwurm*, Sherrie Wang*, Marco Körner, and 1 more author
        2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
      4. RS
        Weakly supervised deep learning for segmentation of remote sensing imagery
        Sherrie Wang, William Chen, Sang Michael Xie, and 2 more authors
        Remote Sensing, 2020


      1. ERL
        Satellites reveal a small positive yield effect from conservation tillage across the US Corn Belt
        Jillian M. Deines, Sherrie Wang, and David B. Lobell
        Environmental Research Letters, 2019
      2. AAAI
        Tile2Vec: Unsupervised representation learning for spatially distributed data
        Neal Jean, Sherrie Wang, Anshul Samar, and 3 more authors
        Proceedings of the AAAI Conference on Artificial Intelligence, 2019
      3. RSE
        Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
        Sherrie Wang, George Azzari, and David B. Lobell
        Remote Sensing of Environment, 2019