| Foundation models for generalist geospatial artificial intelligence J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... arXiv preprint arXiv:2310.18660, 2023 | 20 | 2023 |
| Probabilistic tracking of annual cropland changes over large, complex agricultural landscapes using Google Earth engine S Xiong, P Baltezar, MA Crowley, M Cecil, SC Crema, E Baldwin, ... Remote Sensing 14 (19), 4896, 2022 | 6 | 2022 |
| How much control do smallholder maize farmers have over yield? M Cecil, A Chilenga, C Chisanga, N Gatti, N Krell, N Vergopolan, K Baylis, ... Field Crops Research 301, 109014, 2023 | 3 | 2023 |
| Is closing the agricultural yield gap a “risky” endeavor? N Gatti, M Cecil, K Baylis, L Estes, J Blekking, T Heckelei, N Vergopolan, ... Agricultural Systems 208, 103657, 2023 | 2 | 2023 |
| Using in situ Sensor Networks and Remotely Sensed Imagery to Improve Site-Specific Understanding of Maize Yield Variance M Cecil, LD Estes, TP Evans, A Wolf AGU Fall Meeting Abstracts 2019, B51N-2432, 2019 | 2 | 2019 |
| Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model D Godwin, H Li, M Cecil, H Alemohammad arXiv preprint arXiv:2404.19609, 2024 | | 2024 |
| Assessing Performance of a Foundation Model for Multi-Label Image Classification of Satellite Imagery M Ahmadi, S Khallaghi, M Cecil, S Roy, J Jakubik, P Fraccaro, ... AGU23, 2023 | | 2023 |
| Exploring Effectiveness of Foundation Models for Downstream Applications on Satellite Data H Alemohammad, H Li, M Cecil, S Khallaghi, D Godwin, M Ahmadi, ... AGU23, 2023 | | 2023 |
| Evaluating Foundation Models for Crop Type Segmentation Using Multi-temporal Multi-spectral Satellite Imagery S Khallaghi, H Li, M Cecil, F Kordi, S Roy, J Jakubik, P Fraccaro, ... AGU23, 2023 | | 2023 |
| Comparative Analysis of Vision Transformer and CGAN Models for Cloud Gap Filling in Time Series of Satellite Images D Godwin, M Cecil, H Li, S Roy, J Jakubik, P Fraccaro, H Alemohammad AGU23, 2023 | | 2023 |
| AI Foundation Models for Science: An Open Collaborative Initiative R Ramachandran, S Roy, K Ankur, C Phillips, I Gurung, ... 23rd Meeting of the American Geophysical Union (AGU), 2023 | | 2023 |
| Correction: Xiong et al. Probabilistic Tracking of Annual Cropland Changes over Large, Complex Agricultural Landscapes Using Google Earth Engine. Remote Sens. 2022 … S Xiong, P Baltezar, MA Crowley, M Cecil, SC Crema, E Baldwin, ... Remote Sensing 15 (19), 4692, 2023 | | 2023 |
| Leveraging High-resolution Gridded Datasets and AquaCrop to Improve Remote Sensing-based Estimates of Smallholder Maize Yields S Xiong, N Vergopolan, M Cecil, K Caylor, N Krell, M Konar, T Evans, ... AGU Fall Meeting Abstracts 2021, H55E-0793, 2021 | | 2021 |
| Quantifying the Effect of Farmer Management Decisions on Maize Yield in Zambia M Cecil, K Baylis, J Blekking, KK Caylor, TP Evans, M Konar, J Sheffield, ... AGU Fall Meeting Abstracts 2018, GC51C-05, 2018 | | 2018 |
