Search Results for author: Joshua Fan

Found 2 papers, 1 papers with code

Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net

no code implementations16 Jul 2022 Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes

This poses a challenging coarsely-supervised regression (or downscaling) task; at training time, we only have SIF labels at a coarse resolution (3km), but we want to predict SIF at much finer spatial resolutions (e. g. 30m, a 100x increase).

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction

1 code implementation17 Nov 2021 Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes

As far as we know, this is the first machine learning method that embeds geographical knowledge in crop yield prediction and predicts the crop yields at county level nationwide.

BIG-bench Machine Learning Crop Yield Prediction

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