Today, an important study led by graduate student Meng Luo, with contributions from Fa Li and Hamid Dashti of our lab, has been published in Earth’s Future, shedding light on the uncertainties surrounding future land …
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Our paper “Structural complexity biases vegetation greenness measures” has been published in Nature Ecology & Evolution
In the field of global change ecology and Earth system science, understanding vegetation greenness changes is crucial. Spectral vegetation indices (VIs) have been widely used for this purpose, but they are susceptible to artifacts, as …
Meng’s proposal has been selected by the NASA FINESST program
Meng Luo’s proposal “Quantifying the impacts of forest biomass and productivity change on future Land cover and land use change projections” was selected for funding by NASA’s Future Investigators in NASA Earth and Space Science …
A new study on the global role of Arctic carbon sink
The EGU journal Earth system dynamics published our entitled “Global and northern-high-latitude net ecosystem production in the 21st century from CMIP6 experiments” in the new year. Led by Han Qiu, we used results from the …
The whole lab attended AGU annual Fall Meeting 2022
All lab members attended the annual AGU Fall Meeting in the week of December 11, 2022. It seems to be a fruitful week for everyone! However, Min managed to successfully lead the team to 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 …
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, …