I’m Songxi Yang, a Ph.D. student in Cartography/GIS in Spatial Computing and Data Mining Lab at University of Wisconsin-Madison, minor in Computer Science, working with Prof. Qunying Huang.
- Remote Sensing: Multispectral/Hyperspectral Remote Sensing
- Machine Learning: Self Supervised Learning
- Environmental Problems: Natural Disasters, Carbon Fluxes
- Physics-based Models: PROSPECT, PROSAIL, SCOPE, BEPS
Yang, S., Yang, J., Shi, S., Song, S., Luo, Y., & Du, L. (2023). The rising impact of urbanization-caused CO2 emissions on terrestrial vegetation. Ecological Indicators, 148, 110079.
Luo, Y., Yang, J., Yang, S., Wang, A., Shuo, S., & Du, L. (2023). Assessing the responses of different vegetation types to drought with satellite solar-induced chlorophyll fluorescence over the Yunnan-Guizhou Plateau. Optics Express, 31(22), 35565-35582.
Yang, S., Yang, J., Shi, S., Song, S., Zhang, Y., Luo, Y., & Du, L. (2022). An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types. Ecological Modelling, 472, 110079.
Yang, J., Yang, S., Zhang, Y., Shi, S., & Du, L. (2021). Improving characteristic band selection in leaf biochemical property estimation considering interrelations among biochemical parameters based on the PROSPECT-D model. Optics Express, 29(1), 400-414.
Sun, Z., Yang, S., Shi, S., & Yang, J. (2021). The Effect of Principal Component Analysis Parameters on Solar-Induced Chlorophyll Fluorescence Signal Extraction. Applied Sciences, 11(11), 4883.
