(* 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