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Recent Posts
- New Research Boosts Flood Risk Planning with Smarter Mapping Tools
- Dr. Hongbo Su completed an ACUE course training on “Inspiring Inquiry and Preparing Lifelong Learning”
- Dr. Hongbo Su completed a training on “Creating an Inclusive and Supportive Online Learning Environment”
- Joseph Gyegyiri, received the 2023-2024 Leidos Scholarship for AI/ML Advancement from the United States Geospatial Intelligence Foundation (USGIF)
- An article on “Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China” was published on International Journal of Applied Earth Observation and Geoinformation on
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Author Archives: suh
New Research Boosts Flood Risk Planning with Smarter Mapping Tools
We’re excited to share our latest publication in Natural Hazards , titled “A semi-automated workflow for multi-scenario flood risk mapping using Python and ArcGIS Pro” by Anil Mandal, Madan Chhetri, Fred Bloetscher, Yan Yong, and Hongbo Su.
The …
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Dr. Hongbo Su completed an ACUE course training on “Inspiring Inquiry and Preparing Lifelong Learning”
Inspiring Inquiry and Preparing Lifelong Learning in Your Online Course is one of four courses available in ACUE’s Course in Effective Online Teaching Practices. Modules in this course present practices for motivating students online, providing clear directions and explanations in …
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Dr. Hongbo Su completed a training on “Creating an Inclusive and Supportive Online Learning Environment”
The training was provided by The Association of College and University Educators (ACUE). …
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Joseph Gyegyiri, received the 2023-2024 Leidos Scholarship for AI/ML Advancement from the United States Geospatial Intelligence Foundation (USGIF)
Congratulations, Joseph! You are the only recipient in the category of “artificial intelligence, advanced analytics, or machine learning for geospatial research”.
Here is more information about the award: https://www.fau.edu/engineering/cege/news/2307-josephusgifaward/…
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An article on “Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China” was published on International Journal of Applied Earth Observation and Geoinformation on
Highlights of the article:
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We quantify the attribution of surface heat island using random forest.
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NDVI is the most prominent determinant for annual mean heat islands.
- We recommend locality-based and coordinated heat mitigation strategies.
The study was a collaboration with
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An article on “Spatiotemporal patterns of the impact of surface roughness and morphology on urban heat island” was published on “Sustainable Cities and Society”
Highlights of the article:
- We quantify the correlation between urban morphology and heat island.
- 1D surface roughness emerges as a good indicator of urban morphology.
- Urban planning needs to consider potential nonlinearity in the correlation.
The study was a
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FAU Geomatics Engineering Program win the 2022 NCEES SURVEYING EDUCATION AWARD!
Congratulations to FAU Geomatics on the national award from NCEES! Full news can be found at https://www.fau.edu/engineering/cege/news/202211nceessurveyaward/ …
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Synology NAS SMB speed doubled
My lab set up a Synology NAS device and it is connected using a 1Gbps switch with other computers. I noticed that the read/write speed of the NAS by SMB network drive is only about 47MB/s. After searching on the …
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USGS 3DEP DEM data
The weblink where to get the High resolution Lidar data:
https://prd-tnm.s3.amazonaws.com/LidarExplorer/index.html#/…
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Matlab installation
FAU users can self install Matlab to a local computer:
https://hpc.fau.edu/matlab-individual-install/
Or run Matlab from Citrix:
https://apps.fau.edu/…
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