https://tristan-ballard.netlify.app/tag/climate-risk/Climate RiskWowchemy (https://wowchemy.com)en-usMon, 21 Jun 2021 10:00:00 +0000https://tristan-ballard.netlify.app/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.pnghttps://tristan-ballard.netlify.app/tag/climate-risk/https://tristan-ballard.netlify.app/post/firesrnet/Mon, 21 Jun 2021 10:00:00 +0000https://tristan-ballard.netlify.app/post/firesrnet/<p>At Sust Global, we developed FireSRnet, a novel super-resolution (SR) architecture operating on a 3-channel geospatial dataset incorporating NASA satellite fire data 🛰, local temperature🌡️, and local land cover burnability🌲.</p> <p>We compared FireSRnet performance at 2x, 4x, and 8x SR against a benchmark interpolation technique and validated model results with the recent fires in California and Australia.</p> <p>Then, we showcased how FireSRnet can leverage CMIP6 climate model simulations of burned area and temperature to enable more precise forward-looking estimates of fire exposure 🔥.</p> <ul> <li>👉 <a href="https://www.sustglobal.com/blog/firesrnet" target="_blank" rel="noopener"><strong>Check out the blog post I wrote up on this project!</strong></a></li> <li>🗣️ <a href="https://slideslive.com/38942189/firesrnet-geosciencedriven-superresolution-of-future-fire-risk-from-climate-change" target="_blank" rel="noopener"><strong>Check out the talk I gave at NeurIPS!</strong></a></li> <li>📃 <a href="https://arxiv.org/abs/2011.12353" target="_blank" rel="noopener"><strong>Check out the paper on arXiv!</strong></a></li> </ul> <p>I presented this work at the 2020 NeurIPS workshop on Tackling Climate Change with Machine Learning and was selected to give a spotlight talk.</p>https://tristan-ballard.netlify.app/publication/firesrnet/2020-01-01_ballard2020/Tue, 24 Nov 2020 00:00:00 +0000https://tristan-ballard.netlify.app/publication/firesrnet/2020-01-01_ballard2020/