Yuhao Bean Lu (@yuhao_bean) header
Yuhao Bean Lu (@yuhao_bean) profile picture

maps | cities | earth observation | design 🇨🇦 Assistant Professor @umanitoba previously @_FCL @eth_en 🎓 alumni of @IRSS_UBC

Winnipeg, Canada
Joined September 2013
Photo by Yuhao Bean Lu (@yuhao_bean)Photo by Yuhao Bean Lu (@yuhao_bean)Photo by Yuhao Bean Lu (@yuhao_bean)Photo by Yuhao Bean Lu (@yuhao_bean)Photo by Yuhao Bean Lu (@yuhao_bean)Photo by Yuhao Bean Lu (@yuhao_bean)Photo by Yuhao Bean Lu (@yuhao_bean)
New open data release: Buildings of Winnipeg. To access the data and read more about the methods, please visit: festudio.ca/research/buildin… video cc Steve Kim linkedin.com/in/steve-kim-38…
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Checkout our preprint: deadtrees.earth - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics biorxiv.org/content/10.1101/…
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Our multidecadal annual time series of dominant tree species layers for Canada are now available on the #GEE Community Catalog! 🛰️🌲🌳🗺️🇨🇦 Explore the data here:🔗gee-community-catalog.org/pr… Read more about our work: 📰doi.org/10.1016/j.foreco.202…
Time series tree species maps for Canada’s forested ecosystems from 1984 to 2022 at 30 m spatial resolution using #Landsat imagery, topographic and climate data, and cal/val data from Canada’s NFI. 37 species, 39 years, 650 Mha! Paper: doi.org/10.1016/j.foreco.202… #opendata & info⬇️📜
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From the annual maps we summarized the distribution and dynamics of the dominant tree species from 1984 to 2022 in Canada’s forested ecosystems as well as at the ecozone level and with focus on fire and harvest disturbances.
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Time series tree species maps for Canada’s forested ecosystems from 1984 to 2022 at 30 m spatial resolution using #Landsat imagery, topographic and climate data, and cal/val data from Canada’s NFI. 37 species, 39 years, 650 Mha! Paper: doi.org/10.1016/j.foreco.202… #opendata & info⬇️📜
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In this (our first!) open data release, we are sharing over 1.4m GIS-ready canopy shapes for the City of Winnipeg. Each shape contains canopy height, crown area, and canopy density. To download and read more festudio.ca/research/trees 🌲🌳 – at Winnipeg, Manitoba
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We're looking for a postdoc position in the IRSS!📢 🛰️ Canada-wide mapping of forest fuel attributes 📍@ubcforestry, Vancouver 🗓️ Jan 1 2025 🔗postdocs.ubc.ca/ad/58274 Application details in the link above ☝️ @PFC_CFS #remotesensing #postdocjob
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After 50+ hours of flights and 2TB+ images captured, we are excited to share the first iteration of a step-by-step guide on digital aerial photogrammetry, with a focus on implementations in #landscapearchitecture #urbandesign #urbanforestry 📒PDF: festudio.ca/dap – at Winnipeg, Manitoba
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T-4 days! Srilalitha Gopalakrishnan (Dr) from the Future Cities Laboratory Global, Singapore-ETH Centre will join us later this month to talk about #density, #greenness, #landscapearchitecture, and #biophilicdesign. Details + RSVP: festudio.ca/events
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Yuhao Bean Lu retweeted
USGS Scientist Dr. Chris Crawford led the efforts to document the rationale, contents and advancements provided by #Landsat Collection 2 in a newly published paper. Access the paper here to learn more: doi.org/10.1016/j.srs.2023.1….
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A lot of our international students have had to go through these steps! Thanks to @SmithTripp21, @leannastack and @dr_spoon for putting this together! #remotesensing #dronepilot #dronelicense – at Vancouver, British Columbia
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Historical processing of the complete Harmonized #Landsat and #Sentinel-2 (HLS) data and imagery archive is complete. Users can now access continuous HLS data and imagery from 2013 to present. Read more: go.nasa.gov/3sAW3Zz
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Check out the new publication in @NatureComms on the unequal distribution of building data in OSM from the team at @GIScienceHD. Data also available via the 🧵 below... teapawt.net/GIScienceHD/status/167…
You have probably seen that last week, Benjamin Herfort et al. published an article on the uneven distribution of building data in #OSM in @NatureComms 🎉 👀But did you know that you can easily access completeness data for 13.189 cities in #ohsomeHeX? 👉tinyurl.com/heinature
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Yuhao Bean Lu retweeted
Landsat's 51st anniversary approaches.🎂 Not as catchy as #Landsat50, but another year of enhanced observation continuity! Past year notable with acquisitions from #Landsat 8 & 9 plus accelerated development of #LandsatNext, higher res, superspectral, 3 satellite constellation!
Marking the 50th anniversary of the @USGS / @NASA Landsat Program! 🎉 📢Now out! Landsat Science Team review of impacts and achievements enabled by 50 years of #Landsat observations. ➡️Fifty years of Landsat science and impacts. #RSE #Review #OpenAccess: 🔗sciencedirect.com/science/ar…
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Yuhao Bean Lu retweeted
Need detailed data for an investigation of Canada's wildfire situation? 🔥🌲🇨🇦 ➡️See #OpenData: Pre-existing #landcover, estimates of #biomass & canopy cover, historic #wildfire and harvesting, species, age, plus burn severity of historic fires. #Landsat 🔗opendata.nfis.org/mapserver/…
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Yuhao Bean Lu retweeted
Data Visualization Catalogue Massive collection of data visualizations (100 visualizations) that will help you find the one that you need for your project. datavizproject.com
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Yuhao Bean Lu retweeted
🚨!!Out today in @Science!!🚨 In a massive interdisciplinary collaboration between 14 researchers across institutions, we rectify misconceptions and offer key research directions to inform policy and beneficial uses of generative AI. Thread below: science.org/doi/10.1126/scie…
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Yuhao Bean Lu retweeted
🚨Generative AI has a serious problem with bias🚨 Over months of reporting, @dinabass and I looked at thousands of images from @StableDiffusion and found that text-to-image AI takes gender and racial stereotypes to extremes worse than in the real world. 🧵 1/13
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uci is a new #rstats package📦to calculate the Urban Centrality Index (UCI), which measures the extent to which the spatial organization of a city or region varies from extreme Monocentric to extreme Polycentric in a continuous scale from 0 to 1 👉 ipeagit.github.io/uci/
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