Jason Marte is a junior at Stony Brook University, majoring in Environmental Science with a concentration in Atmospheric and Oceanic Sciences. For his last summer REU, he conducted atmospheric chemistry research under Dr. Xueying Yu at UAlbany’s Atmospheric Sciences Research Center, focusing on fertilizer-driven cropland NO₂ emissions using satellite remote sensing. He analyzed high-resolution datasets from TEMPO and Sentinel-5P to assess NO₂ concentrations in agricultural regions of New York, Wisconsin, and Minnesota. Jason applied K-tree clustering to isolate cropland signals and reduce spatial noise in satellite data. He then developed a PyTorch-based deep learning model to detect 2–3-week summer NO₂ pulse events, linking emission spikes to fertilizer application cycles and quantifying regional uncertainty at 17–21%. Through this work, he advanced his skills in atmospheric data analysis, machine learning, and scientific communication, and presented his findings at the ASRC/DAES Climate & Atmospheric Sciences Symposium. Jason is also an alumnus of the Yale Conservation Scholars Program and co-authored the 2024 Global Landscape Report with OpenAQ. After graduation, he plans to pursue a Ph.D. in Atmospheric and Oceanic Sciences.