| Using publicly available satellite imagery and deep learning to understand economic well-being in Africa C Yeh, A Perez, A Driscoll, G Azzari, Z Tang, D Lobell, S Ermon, M Burke Nature communications 11 (1), 2583, 2020 | 396 | 2020 |
| Smallholder maize area and yield mapping at national scales with Google Earth Engine Z Jin, G Azzari, C You, S Di Tommaso, S Aston, M Burke, DB Lobell Remote sensing of environment 228, 115-128, 2019 | 304 | 2019 |
| 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 | 304 | 2019 |
| Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring G Azzari, DB Lobell Remote Sensing of Environment 202, 64-74, 2017 | 231 | 2017 |
| 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 | 223 | 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 | 212 | 2019 |
| Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries G Azzari, M Jain, DB Lobell Remote Sensing of Environment 202, 129-141, 2017 | 194 | 2017 |
| Rapid characterization of vegetation structure with a Microsoft Kinect sensor G Azzari, ML Goulden, RB Rusu Sensors 13 (2), 2384-2398, 2013 | 150 | 2013 |
| Eyes in the sky, boots on the ground: Assessing satellite‐and ground‐based approaches to crop yield measurement and analysis DB Lobell, G Azzari, M Burke, S Gourlay, Z Jin, T Kilic, S Murray American Journal of Agricultural Economics 102 (1), 202-219, 2020 | 136 | 2020 |
| Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches Z Jin, G Azzari, DB Lobell Agricultural and forest meteorology 247, 207-220, 2017 | 118 | 2017 |
| Satellite detection of cover crops and their effects on crop yield in the Midwestern United States CA Seifert, G Azzari, DB Lobell Environmental Research Letters 13 (6), 064033, 2018 | 102 | 2018 |
| Mapping smallholder yield heterogeneity at multiple scales in Eastern Africa Z Jin, G Azzari, M Burke, S Aston, DB Lobell Remote Sensing 9 (9), 931, 2017 | 101 | 2017 |
| Poverty prediction with public landsat 7 satellite imagery and machine learning A Perez, C Yeh, G Azzari, M Burke, D Lobell, S Ermon arXiv preprint arXiv:1711.03654, 2017 | 66 | 2017 |
| Satellite detection of rising maize yield heterogeneity in the US Midwest DB Lobell, G Azzari Environmental Research Letters 12 (1), 014014, 2017 | 58 | 2017 |
| Satellite mapping of tillage practices in the North Central US region from 2005 to 2016 G Azzari, P Grassini, JIR Edreira, S Conley, S Mourtzinis, DB Lobell Remote Sensing of Environment 221, 417-429, 2019 | 57 | 2019 |
| Quantifying fire‐wide carbon emissions in interior Alaska using field measurements and Landsat imagery BM Rogers, S Veraverbeke, G Azzari, CI Czimczik, SR Holden, ... Journal of Geophysical Research: Biogeosciences 119 (8), 1608-1629, 2014 | 56 | 2014 |
| Semi-supervised multitask learning on multispectral satellite images using wasserstein generative adversarial networks (gans) for predicting poverty A Perez, S Ganguli, S Ermon, G Azzari, M Burke, D Lobell arXiv preprint arXiv:1902.11110, 2019 | 45 | 2019 |
| The impact of agricultural interventions can be doubled by using satellite data M Jain, P Rao, AK Srivastava, S Poonia, J Blesh, G Azzari, AJ McDonald, ... Nature Sustainability 2 (10), 931-934, 2019 | 42 | 2019 |
| Eyes in the sky, boots on the ground: assessing satellite-and ground-based approaches to crop yield measurement and analysis in Uganda DB Lobell, G Azzari, M Burke, S Gourlay, Z Jin, T Kilic, S Murray World Bank Policy Research Working Paper, 2018 | 39 | 2018 |
| From sunlight to seed: Assessing limits to solar radiation capture and conversion in agro-ecosystems JIR Edreira, S Mourtzinis, G Azzari, JF Andrade, SP Conley, D Lobell, ... Agricultural and Forest Meteorology 280, 107775, 2020 | 30 | 2020 |
David LobellStanford University在 stanford.edu 的电子邮件经过验证
