Our latest work on situational awareness information extraction with Geographic context-aware text mining was published on IJDE

Reference: Scheele C., Yu M. and Huang Q., 2021. Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features. International Journal of Digital Earth, pp.1-23. DOI:  Download

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Hiring: 3~4 Student Hourly Positions for Remote Sensing Data Annotation and Processing

We are seeking several hourly students to help annotate (label) a set of satellite imagery for the research of AI for Earth Observation. The responsibilities will include interacting with researchers to understand the labels, learning the use of the labeling platform, and labeling satellite images at the pixel level.

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Our latest work on real-time urban flood mapping with self-supervised learning framework was published on J-STARS


  • Peng B., Huang Q., Vongkusolkit J., Gao S., Wright D., Fang Z. and Qiang Y., 2021. Urban Flood Mapping with Bi-temporal Multispectral Imagery via a Self-supervised Learning Framework. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 14: 2001-2016. doi: 10.1109/JSTARS.2020.3047677.

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Altas’s work was featured in multiple news

A geographic shift: Majority of Dane County COVID-19 cases now outside Madison…. Source >>

‘Improve their awareness of danger’: UW-Madison Ph.D. student creates COVID-19 data dashboard……Source >>

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COVID-19 Data Dashboard

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New Publication

Review paper on situational awareness extraction during natural hazards through social media accepted in Annals of GIS 2020

Reference: Jirapa Vongkusolkit & Qunying Huang (2020) Situational awareness extraction: a comprehensive review of social media data classification during natural hazards, Annals of GIS, DOI: 10.1080/19475683.2020.1817146

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Special Issues

IJGI Special Issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics”

We are inviting submissions to a new special issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics” by the ISPRS International Journal of Geo-Information. Articles being submitted should involve advancement to theories and methods and/or applications integrating spatial and temporal datasets at varying scales for crisis informatics. The articles should leverage existing theories and/or develop new theories of scaling and spatiotemporal modeling while taking advantage of big data theories and technologies to aid with crisis/disaster preparedness, mitigation, recovery, and resilience.

This Special Issue is scheduled to be published by 30 April 2021. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website.

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IEEE ICMLA 2020 Special Session on AI with Geographic Information Systems for Social Good

The purpose of the IEEE ICMLA 2020 workshop on AI with Geographic Information Systems for Social Good is to disseminate the research focusing on social problems for which the synthesis of AI and GIS has the potential to offer innovative solutions. This workshop aims to bring together researchers and practitioners across AI, GIS, and a range of application domains on the frontiers of frameworks, theories, and methods.

The workshop will take place on December 14-17, 2020,  in Miami, Florida, USA. 

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