Sang-Zi Liang

A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt

Walter T. Dado, D. Lobell, J. Deines, 2021 .

High-Resolution Soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data

David B. Lobell, Walter T. Dado, Jillian M. Deines, 2020, Remote. Sens..

Large-scale crop type and crop area mapping across Brazil using synthetic aperture radar and optical imagery

Olaniyi A. Ajadi, Rinkal Patel, Jeremiah R. Barr, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Further adoption of conservation tillage can increase maize yields in the western US Corn Belt

J. Deines, Sang-Zi Liang, Bruno Lopez, 2024, Environmental Research Letters.

Subfield-level crop yield mapping without ground truth data: A scale transfer framework

Sang-Zi Liang, Yuchi Ma, David B. Lobell, 2024, Remote Sensing of Environment.