Year |
Citation |
Score |
2020 |
Yeh C, Perez A, Driscoll A, Azzari G, Tang Z, Lobell D, Ermon S, Burke M. Using publicly available satellite imagery and deep learning to understand economic well-being in Africa. Nature Communications. 11: 2583. PMID 32444658 DOI: 10.1038/S41467-020-16185-W |
0.37 |
|
2020 |
Wang S, Chen W, Xie SM, Azzari G, Lobell DB. Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery Remote Sensing. 12: 207. DOI: 10.3390/Rs12020207 |
0.333 |
|
2020 |
Rattalino Edreira JI, Mourtzinis S, Azzari G, Andrade JF, Conley SP, Specht JE, Grassini P. Combining field-level data and remote sensing to understand impact of management practices on producer yields Field Crops Research. 257: 107932. DOI: 10.1016/J.Fcr.2020.107932 |
0.462 |
|
2020 |
Rattalino Edreira JI, Mourtzinis S, Azzari G, Andrade JF, Conley SP, Lobell D, Specht JE, Grassini P. From sunlight to seed: Assessing limits to solar radiation capture and conversion in agro-ecosystems Agricultural and Forest Meteorology. 280: 107775. DOI: 10.1016/J.Agrformet.2019.107775 |
0.448 |
|
2019 |
Beal Cohen AA, Seifert CA, Azzari G, Lobell DB. Rotation Effects on Corn and Soybean Yield Inferred from Satellite and Field‐level Data Agronomy Journal. 111: 2940-2948. DOI: 10.2134/Agronj2019.03.0157 |
0.349 |
|
2019 |
Lobell DB, Azzari G, Burke M, Gourlay S, Jin Z, Kilic T, Murray S. Eyes in the Sky, Boots on the Ground: Assessing Satellite‐ and Ground‐Based Approaches to Crop Yield Measurement and Analysis American Journal of Agricultural Economics. 102: 202-219. DOI: 10.1093/Ajae/Aaz051 |
0.476 |
|
2019 |
Seifert CA, Azzari G, Lobell DB. Corrigendum: Satellite detection of cover crops and their effects on crop yield in the Midwestern United States (2018
Environ. Res. Let.
13 064033) Environmental Research Letters. 14: 039501. DOI: 10.1088/1748-9326/Aaf933 |
0.421 |
|
2019 |
Jin Z, Azzari G, You C, Di Tommaso S, Aston S, Burke M, Lobell DB. Smallholder maize area and yield mapping at national scales with Google Earth Engine Remote Sensing of Environment. 228: 115-128. DOI: 10.1016/J.Rse.2019.04.016 |
0.519 |
|
2019 |
Wang S, Azzari G, Lobell DB. Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques Remote Sensing of Environment. 222: 303-317. DOI: 10.1016/J.Rse.2018.12.026 |
0.454 |
|
2019 |
Azzari G, Grassini P, Edreira JIR, Conley S, Mourtzinis S, Lobell DB. Satellite mapping of tillage practices in the North Central US region from 2005 to 2016 Remote Sensing of Environment. 221: 417-429. DOI: 10.1016/J.Rse.2018.11.010 |
0.454 |
|
2018 |
Seifert CA, Azzari G, Lobell DB. Satellite detection of cover crops and their effects on crop yield in the Midwestern United States Environmental Research Letters. 13: 064033. DOI: 10.1088/1748-9326/Aac4C8 |
0.501 |
|
2017 |
Jin Z, Azzari G, Burke M, Aston S, Lobell D. Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa Remote Sensing. 9: 931. DOI: 10.3390/Rs9090931 |
0.534 |
|
2017 |
Lobell DB, Azzari G. Satellite detection of rising maize yield heterogeneity in the U.S. Midwest Environmental Research Letters. 12: 014014. DOI: 10.1088/1748-9326/Aa5371 |
0.468 |
|
2017 |
Azzari G, Lobell D. Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring Remote Sensing of Environment. 202: 64-74. DOI: 10.1016/J.Rse.2017.05.025 |
0.447 |
|
2017 |
Azzari G, Jain M, Lobell DB. Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries Remote Sensing of Environment. 202: 129-141. DOI: 10.1016/J.Rse.2017.04.014 |
0.498 |
|
2017 |
Jin Z, Azzari G, Lobell DB. Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches Agricultural and Forest Meteorology. 247: 207-220. DOI: 10.1016/J.Agrformet.2017.08.001 |
0.475 |
|
2014 |
Rogers BM, Veraverbeke S, Azzari G, Czimczik CI, Holden SR, Mouteva GO, Sedano F, Treseder KK, Randerson JT. Quantifying fire-wide carbon emissions in interior Alaska using field measurements and Landsat imagery Journal of Geophysical Research G: Biogeosciences. 119: 1608-1629. DOI: 10.1002/2014Jg002657 |
0.328 |
|
2013 |
Azzari G, Goulden ML, Rusu RB. Rapid characterization of vegetation structure with a Microsoft Kinect sensor. Sensors (Basel, Switzerland). 13: 2384-98. PMID 23435053 DOI: 10.3390/S130202384 |
0.482 |
|
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