Xiaojiang Li
@GIS_jiang
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Urban Scientist, Spatial Data Scientist, Assistant Professor @Penn, co-found @Biometeors, Alum of MIT Senseable City Lab, 50 Rising Stars in Geospatial World.
Philadelphia, PA
Joined January 2014
@Lortizuriarte @VirginiaClimate @GMU_COS This is cool. Just curious any materials related with the wind speed simulation, as described in the figure of the flyer.
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RT @ckuejio: Please consider applying for our Tenure Track Assistant Professor in Human-Environment Interactions <gt;…
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@AmandaSteinberg In cities, actually the shade is more important. Green space may moderate the regional climate, but not as much as the shade.
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Thanks for the invitation from Department of Geography at Florida State U. I will give a talk about my recent research in Dec 6th. This is actually my first invitation from geography department to give a talk.
Join the Department of Geography for our next colloquium on Friday, December 6, at 3:30 p.m. in Bellamy 114. Dr. Xiaojiang Li will give a talk titled "Geospatial Data Science for Urban Environmental Sustainability." Learn more:
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Heat map is available on @neighborfacts mobile app now. I will try to add hyperlocal level heat info there, also more climate hazards information.
Neighborhood Facts have new layer included. We have the neighborhood heat information in US. We will have 1m resolution heat information in near future. Thanks to @GIS_jiang for making it possible. Thank you for your subscription and support.
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RT @timlhawthorne: We’re hiring more faculty in Auburn University Geosciences Department. 🌎 Come join an innovative department committed…
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I the last 10 years, I have collected several cards from several great universities.
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Using meter-resolution urban 3D model from @Microsoft Planetary Computer, I don't need to spend a huge amount of time on downloading and processing LiDAR data from @USGS locally using tools like PDAL @pointcloudpipe
It is amazing to see meter-level resolution digital surface model can be easily accessed on @Microsoft Planetary Computer. You don't need to download the LiDAR from @USGS and process them locally, which takes a loooong time.
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Thank for featuring my NSF project of pedestrian level heat modeling and mapping,
A new #NSFfunded study maps and models heat exposure in Philadelphia down to a resolution of 1 meter — key to understanding which areas and populations within the city are at greater risk during extreme heat events. 📹: @GIS_jiang, @Penn
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Paper alert! Our paper on sensitivity and vulnerability to summer heat in US cities. We generated 1m resolution #UTCI in current weather and 1 degree higher scenarios. For visualization, check our project of HeatExpo, @biometeors
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