Members for a project
Jillian Deines, Stanford University
Sherrie Wang, Stanford University
Jake Campolo, Stanford University
Stefania Di Tomasso, Stanford University
We develop globally robust approaches for mapping crop locations and yields to inform agricultural management and food security efforts.
US Corn Belt, Kenya, Tanzania, Nepal
This project is focused on fine resolution (i.e. field scale) mapping of crop area and yield. The goal is to develop and implement globally robust approaches to achieving these maps. Yield maps are then combined with other data sources to evaluate management such as no-till/conservation agriculture practices. Satellite instruments used include Landsat 5, 7 and 8, Sentinel 1, Sentinel 2, MODIS, Planet and Digital Globe.
Azzari, G., Grassini, P., Edreira, J.I.R., Conley, S., Mourtzinis, S. and Lobell, D.B. 2019. Satellite mapping of tillage practices in the North Central US region from 2005 to 2016. Remote sensing of environment, 221, pp.417-429.
Seifert, C. A., Azzari, G., & Lobell, D. B. 2018. Satellite detection of cover crops and their effects on crop yield in the Midwestern United States. Environmental Research Letters, 13(6), 064033.
Lobell, D. B., Azzari, G., Marshall, B., Gourlay, S., Jin, Z., Kilic, T., Murray, S. 2018. Eyes in the sky, boots on the ground : assessing satellite- and ground-based approaches to crop yield measurement and analysis in Uganda (English). Policy Research working paper; no. WPS 8374. Washington, D.C. World Bank Group.