| Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields N Vergopolan, S Xiong, L Estes, N Wanders, NW Chaney, EF Wood, ... Hydrology and Earth System Sciences 25 (4), 1827-1847, 2021 | 28 | 2021 |
| 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 |
| Simple temporal domain adaptation techniques for mapping the inter-annual dynamics of smallholder-dominated croplands over large extents L Estes, S Khallaghi, R Abedi, M Asipunu, N Ha, B Luo, C Mai, A Wussah, ... EGU24, 2024 | | 2024 |
| Potential impacts of transportation infrastructure improvements to maize and cassava supply chains in Zambia J Wang, M Konar, K Baylis, L Estes, P Hadunka, S Xiong, K Caylor Environmental Research: Infrastructure and Sustainability 3 (4), 045006, 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 |
| Field-scale soil moisture for drought monitoring and agricultural yield prediction at the local scales N Vergopolan, S Xiong, LD Estes, N Wanders, NW Chaney, EF Wood, ... Frontiers in Hydrology 2022, 311-01, 2022 | | 2022 |
| 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 |
| Improving drought monitoring and crop yield prediction with field-scale soil moisture J Sheffield, N Vergopolan, S Xiong, LD Estes, N Wanders, NW Chaney, ... AGU Fall Meeting Abstracts 2020, GC023-0013, 2020 | | 2020 |
| The spatiotemporal scales of drought and its impacts on field-scale agricultural yields N Vergopolan, S Xiong, J Sheffield, EF Wood, TP Evans, KK Caylor, ... AGU Fall Meeting Abstracts 2019, H51H-1577, 2019 | | 2019 |
| A Convolutional Neural Network Approach to Segmenting Smallholder Agriculture RB Avery, KK Caylor, LD Estes, R Eastman, S Ye, L Song, K Zhang, ... AGU Fall Meeting Abstracts 2018, B31I-2597, 2018 | | 2018 |
| Using active learning to quantify how training data errors impact classification accuracy over smallholder-dominated agricultural systems LD Estes, SR Debats, D McRitchie, R Eastman, L Song, T Woodard, ... AGU Fall Meeting Abstracts 2018, B22A-05, 2018 | | 2018 |
