activity
20152023
most citedThe Historical Impact of Anthropogenic Climate Change on Global Agricultural Productivity

1k citations · 1.7k across the 31 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

stat.AP2021★ 37 cited

Combining randomized field experiments with observational satellite data to assess the benefits of crop rotations on yields

Dan M. Kluger, Art B. Owen, David B. Lobell

With climate change threatening agricultural productivity and global food demand increasing, it is important to better understand which farm management practices will maximize crop…

cs.CV2021

IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling

Chenlin Meng, Enci Liu, Willie Neiswanger +4

Object detection in high-resolution satellite imagery is emerging as a scalable alternative to on-the-ground survey data collection in many environmental and socioeconomic monitori…

cs.LG2021★ 7 cited

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Christopher Yeh, Chenlin Meng, Sherrie Wang +7

Progress toward the United Nations Sustainable Development Goals (SDGs) has been hindered by a lack of data on key environmental and socioeconomic indicators, which historically ha…

econ.GN2021★ 14 cited

Optimal index insurance and basis risk decomposition: an application to Kenya

Matthieu Stigler, David Lobell

Index insurance is a promising tool to reduce the risk faced by farmers, but high basis risk, which arises from imperfect correlation between the index and individual farm yields,…

cs.CV2021★ 9 cited

Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach

Chenxi Lin, Liheng Zhong, Xiao-Peng Song +3

Land cover classification in remote sensing is often faced with the challenge of limited ground truth. Incorporating historical information has the potential to significantly lower…

eess.IV2021★ 50 cited

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

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 l…