Welcome to the Jin Lab!

Our research focuses on ecosystem responses to changing climate, fire disturbances, and management practices, as well as the subsequent consequences for energy, water, and carbon cycles. We integrate remote sensing imagery and other geospatial data, via machine learning techniques, to study the processes and feedbacks associated with ecosystem dynamics. Our studies cover diverse ecosystems, ranging from croplands, rangelands, savannas, to forests, with a particular focus on landscape phenomena. The primary goal is to develop improved ecosystem monitoring capabilities and provide data-driven information support for more effective resource management, mitigation and adaptation decisions.

Recent Publications

Advancing Agricultural Production with Machine Learning Analytics: Yield Determinants for California’s Almond Orchards, Y.  Jin, B. Chen, B. Lampinen, and P. Brown, Frontiers in Plant Science, 2020.

California Almond Yield Prediction At the Orchard Level With A Machine Learning Approach, Zhang, Z., Y. Jin, B. Chen, and P. Brown, Frontiers in Plant Science, 2019.

Estimating Rangeland Forage Production Using Remote Sensing Data from a Small Unmanned Aerial System (sUAS) and PlanetScope Satellite,Liu, H., et al., Remote Sensing, 2019. 

Spatially Variable Evapotranspiration Over Salt Affected Pistachio Orchards Analyzed with Satellite Remote Sensing Estimates, Jin, Y., et al., Ag. and Forest Meteorology, 2018, 262, 178-191. 

Detecting Drought-Induced Tree Mortality in Sierra Nevada Forests with Time Series of Satellite Data, Byer, S. and Y. Jin, Remote Sensing, 2017, 9(929).  Read more  ......


Dr. Yufang Jin
Associate Professor of Remote Sensing and Ecosystem Change

One Shields Ave

Department of Land, Air, and Water Resources

University of California, Davis, CA 95616-8627

Email:    Tel: (530) 219-4429

Posted: 09.29.2015

News report on our wildfire studies