17 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 8 cited
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization
Hannah Kerner, Ritvik Sahajpal, Sergii Skakun +5
Crop type classification using satellite observations is an important tool for providing insights about planted area and enabling estimates of crop condition and yield, especially…
cs.CV2020★ 17 cited
Rapid Response Crop Maps in Data Sparse Regions
Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef +5
Spatial information on cropland distribution, often called cropland or crop maps, are critical inputs for a wide range of agriculture and food security analyses and decisions. Howe…