Search Results for author: Stefania Di Tommaso

Found 2 papers, 0 papers with code

Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2

no code implementations19 Dec 2022 Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell

In the current study, we leverage GEDI to develop wall-to-wall maps of short vs tall crops on a global scale at 10 m resolution for 2019-2021.

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops

no code implementations10 Sep 2021 Stefania Di Tommaso, Sherrie Wang, David B. Lobell

High resolution crop type maps are an important tool for improving food security, and remote sensing is increasingly used to create such maps in regions that possess ground truth labels for model training.

Crop Type Mapping

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