Publications

Preprints

Stefania di Tommaso, Sherrie Wang, Rob Strey, David B Lobell. “Mapping sugarcane globally at 10m resolution using GEDI and Sentinel-2”, ESSD (2024+). [link]
Philippe Rufin, Sherrie Wang, Sá Nogueira Lisboa, Jan Hemmerling, Mirela G Tulbure, Patrick Meyfroidt. “Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions”, arXiv (2024+). [link]
Mutlu Ozdogan, Sherrie Wang, Devaki Ghose, Eduardo Pinheiro Fraga, Ana Margarida Fernandez, Gonzalo Varela. “Field-scale rice area and yield mapping in Sri Lanka with optical remote sensing and limited training data”, SSRN (2024+). [link]

* denotes equal contribution

Chenhui Zhang, Sherrie Wang. “Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data”, CVPR EarthVision (2024). Best paper award @ ICLR ML4RS Workshop. [link]
A. Patrick Behrer, Sherrie Wang. “Current benefits of wildfire smoke for yields in the US Midwest may dissipate by 2050”, Environmental Research Letters (2024).
Jordi Laguarta, Thomas Friedel, Sherrie Wang. “Combining deep learning and street view imagery to map smallholder crop types”, AAAI (Oral Presentation) (2024). [link]
Simon Greenhill, Hannah Druckenmiller*, Sherrie Wang*, David A. Keiser, Manuela, Jason K. Moore, Nobuhiro Yamaguchi, Alberto Todeschini, Joseph S. Shapiro. “Machine Learning Predicts Which Rivers, Streams, and Wetlands the Clean Water Act Regulates”, Science (2024). [link]
Marc Rußwurm, Sherrie Wang, Benjamin Kellenberger, Ribana Roscher, Devis Tuia. “Meta-learning to address diverse Earth observation problems across resolutions”, Communications Earth & Environment (2024). [link]
Sherrie Wang, George Azzari. “Chapter A1.1: Agricultural Applications”, Cloud-Based Remote Sensing with Google Earth Engine (2024). [link]
Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B Lobell. “Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2”, Remote Sensing (2023). [link]
Sherrie Wang, Francois Waldner, David B Lobell. “Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision”, Remote Sensing (2022). [link]
Marissa L Childs, Jessica Li, Jeffrey Wen, Sam Heft-Neal, Anne Driscoll, Sherrie Wang, Carlos F Gould, Minghao Qiu, Jennifer Burney, Marshall Burke. “Daily Local-Level Estimates of Ambient Wildfire Smoke PM2.5 for the Contiguous US”, Environmental Science & Technology (2022). [link]
Marc Rußwurm, Sherrie Wang, Devis Tuia. “Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover”, IGARSS (2022). [link]
Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, Rob Strey, David B Lobell, Rosamond L Naylor, Steven M Gorelick. “Mapping Sugarcane in Central India with Smartphone Crowdsourcing”, Remote Sensing (2022). [link]
Stefania Di Tommaso, Sherrie Wang, David B Lobell. “Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops”, Environmental Research Letters (2021). [link]
Dan M Kluger, Sherrie Wang, David B Lobell. “Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions”, Remote Sensing of Environment (2021). [link]
Christopher Yeh*, Chenlin Meng*, Sherrie Wang*, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David B. Lobell, Stefano Ermon. “SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning”, NeurIPS Datasets and Benchmarks (2021). [link]
Sherrie Wang, Stefania Di Tommaso, Jillian M Deines, David B Lobell. “Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive”, Scientific Data (2020). [link]
Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey, David B Lobell. “Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning”, Remote Sensing (2020). [link]
Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, David B Lobell. “Weakly supervised deep learning for segmentation of remote sensing imagery”, Remote Sensing (2020). [link]
Marc Rußwurm*, Sherrie Wang*, Marco Korner, David Lobell. “Meta-learning for few-shot land cover classification”, CVPR EarthVision (2020). Best paper award. [link]
Jillian M Deines, Sherrie Wang, David B Lobell. “Satellites reveal a small positive yield effect from conservation tillage across the US Corn Belt”, Environmental Research Letters (2019). [link]
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon. “Tile2vec: Unsupervised representation learning for spatially distributed data”, AAAI (Oral Presentation) (2019). [link]
Sherrie Wang, George Azzari, David B Lobell. “Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques”, Remote Sensing of Environment (2019). [link]