Haoran Liu received a NEON scholarship to support an excellent opportunity to attend the 13th Annual Fluxcourse this summer in Colorado.
New published study points out adjusting solar-induced fluorescence to nadir-viewing provides a better proxy for GPP
Solar-induced fluorescence (SIF) provides key information for inferring terrestrial gross primary productivity (GPP). However, there is little research on analyzing the performance of nadir-adjusted SIF (SIFnadir) on GPP, compared to total SIF emitted by all leaves (SIFtotal) for reducing the …
Welcome Dr. Dashti, Dr. Fa Li and Mr. Hellenbrand
The lab is happy to welcome Dr. Hamid Dashti, Dr. Fa Li, and Mr. Carter Hellenbrand to join us in the first month of 2022!
New progress on SIF research: Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses
We published new research on Remote Sensing of Environment, entitled “Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses”. In this paper, we found the slope of SIF …
New paper published at Remote Sensing of Environment
In principle, NIR reflectance purely from vegetation (NIRv) is a strong indicator of vegetation absorbed solar radiation and ecosystem primary productivity. The current formula of NIRv with multispectral remote sensing data removes most of the …
Welcome the lab’s new URS scholar!
Mr. Supradipta Khanal joined the lab as a URS scholar. Supra is a Posse Fellow and a freshman majoring in computer science and economics. He will work on phenological forecasting during his training in our …
New graduate students joined us!
We welcomed Fujiang Ji, Haoran Liu, and Meng Luo to join us as PhD students.
NASA funded our research
Led by Dr. Qing Zhu at Lawrence Berkeley National Laboratory (LBL), our proposal “Prototyping a monitoring system of global wetland CH4 emissions with machine learning and satellite remote sensing” has been selected for funding by …
American Family Insurance funded our research on predicting wildfires
Our proposal “Facilitating Wildfire Insurance Business with Big Data and Machine Learning” (PI: Min Chen; Co-PI: Volker Radeloff) has been selected for funding by the American Family-UW-madison data science initiative program. Recent wildfires across the …
New paper published at Global Change Biology
On Feb 25, 2021, our paper “Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis”, led by Dalei Hao, is published at Global Change Biology. This study reveals that leaf physiology, canopy structure, …