Sherrie Wang
Sherrie Wang
Assistant Professor, MIT
Verified email at - Homepage
Cited by
Cited by
Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
S Wang, G Azzari, DB Lobell
Remote Sensing of Environment 222, 303-317, 2019
Weakly supervised deep learning for segmentation of remote sensing imagery
S Wang, W Chen, SM Xie, G Azzari, DB Lobell
Remote Sensing 12 (2), 207, 2020
Tile2vec: Unsupervised representation learning for spatially distributed data
N Jean, S Wang, A Samar, G Azzari, D Lobell, S Ermon
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3967-3974, 2019
Meta-learning for few-shot land cover classification
M Rußwurm*, S Wang*, M Korner, D Lobell
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive
S Wang, S Di Tommaso, JM Deines, DB Lobell
Scientific Data 7 (1), 307, 2020
Daily Local-Level Estimates of Ambient Wildfire Smoke PM2.5 for the Contiguous US
ML Childs, J Li, J Wen, S Heft-Neal, A Driscoll, S Wang, CF Gould, M Qiu, ...
Environmental Science & Technology 56 (19), 13607-13621, 2022
Mapping crop types in southeast India with smartphone crowdsourcing and deep learning
S Wang, S Di Tommaso, J Faulkner, T Friedel, A Kennepohl, R Strey, ...
Remote Sensing 12 (18), 2957, 2020
Satellites reveal a small positive yield effect from conservation tillage across the US Corn Belt
JM Deines, S Wang, DB Lobell
Environmental Research Letters 14 (12), 124038, 2019
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
C Yeh*, C Meng*, S Wang*, A Driscoll, E Rozi, P Liu, J Lee, M Burke, ...
Thirty-fifth Conference on Neural Information Processing Systems, Datasets …, 2021
A mixture-of-modelers approach to forecasting NCAA tournament outcomes
LH Yuan, A Liu, A Yeh, A Kaufman, A Reece, P Bull, A Franks, S Wang, ...
Journal of Quantitative Analysis in Sports 11 (1), 13-27, 2015
Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
DM Kluger, S Wang, DB Lobell
Remote Sensing of Environment 262, 112488, 2021
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
S Di Tommaso, S Wang, DB Lobell
Environmental Research Letters 16 (12), 125002, 2021
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
S Wang, F Waldner, DB Lobell
Remote Sensing 14 (22), 5738, 2022
Mapping Sugarcane in Central India with Smartphone Crowdsourcing
JY Lee, S Wang, AJ Figueroa, R Strey, DB Lobell, RL Naylor, SM Gorelick
Remote Sensing 14 (3), 703, 2022
Facial affect detection using convolutional neural networks
S Wang
Stanford University, 2016
Annual field-scale maps of tall and short crops at the global scale using gedi and sentinel-2
S Di Tommaso, S Wang, V Vajipey, N Gorelick, R Strey, DB Lobell
Remote Sensing 15 (17), 4123, 2023
Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates
S Greenhill, H Druckenmiller*, S Wang*, DA Keiser, M Girotto, JK Moore, ...
Science 383 (6681), 406-412, 2024
Current Benefits of Wildfire Smoke for Yields in the US Midwest May Dissipate by 2050
AP Behrer, S Wang
World Bank, 2022
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
C Zhang, S Wang
arXiv preprint arXiv:2401.17600, 2024
Humans are poor few-shot classifiers for Sentinel-2 land cover
M Rußwurm, S Wang, D Tuia
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
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