Talks

Open Source Geospatial Workflows in the Cloud: Interactive visualization of raster and vector data. AGU Fall Meeting 2025. New Orleans, LA. December 18, 2025 (1 hour)

Open Source Geospatial Workflows in the Cloud: Integrating artificial intelligence with geospatial data analysis and visualization. AGU Fall Meeting 2025. New Orleans, LA. December 18, 2025 (1 hour)

Open Source Pipeline to Integrate Drone and Satellite Geospatial Data Products for Ag Apps Workshop. CANVAS 2025. Salt Lake City, UT. November 10, 2025 (4 hours)

Unlocking the Power of GeoAI with Python. TNView webinar. September 12, 2025 (2 hours)

Computer Vision and Artificial Intelligence for Large-Scale Earth Observation Data. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). Nashville, TN. June 12, 2025 (6 hours)

Open Science Workshop on Open Code, Open Data, Open Access Funding, Open Results, and Open Publishing. March 10 to April 21, 2025 (5 hours)

Object Detection from Remote Sensing Imagery with GeoAI. The 8th Symposium on Geospatial Big Data and Cloud Computing. April 12, 2025 (1.5 hours)

Geospatial Data Analysis and Visualization with Earth Engine. The 8th Symposium on Geospatial Big Data and Cloud Computing. April 11, 2025 (1.5 hours)

Modeling population dynamics with AI: A hands-on workshop with the Population Dynamics Foundation Model. The International Telecommunication Union (ITU) AI for Good Seminar Series. Feb. 18, 2025 (1.5 hours)

Mastering remote sensing image segmentation with AI: A hands-on workshop with the Segment Anything Model. The International Telecommunication Union (ITU) AI for Good Seminar Series. Feb. 5, 2025 (1.5 hours)

An Introduction to Cloud-Based Geospatial Analysis with Earth Engine and Geemap. The American Geophysical Union (AGU) Fall Meeting. Washington DC. Dec. 9, 2024 (3 hours)

Cloud Computing and 3D Mapping with Geemap and Leafmap. Houston Area GIS Day. Houston, TX. Nov. 21, 2024 (6 hours)

Open Source Pipeline to Integrate Drone and Satellite Data. FOSS4G NA. St. Louis, MO. September 9, 2024 (3 hours)

Cloud Computing and 3D Mapping with Geemap and Leafmap. Research Center for Humanities and Social Sciences, Taiwan. August 8, 2024 (4 hours)

Cloud Computing with Google Earth Engine and GeoAI. Symposium on Spatiotemporal Data Science: GeoAI for Social Sciences. Virginia Tech. July 23, 2024 (1.5 hours)

From Satellites to Solutions -- Drought Monitoring with Google Earth Engine. AMS SatMOC Virtual Satellite Short Course. July 16, 2024 (3 hours)

Intro to Earth Engine in Python. 2024 Annual Indiana GIS Conference. Michigan City, Indiana. May 15, 2024 (6 hours)

Cloud Computing with Google Earth Engine and Geemap. TNGIC Annual Conference. Burns, TN. April 9, 2024 (4 hours)

Geospatial Cloud Computing with the GEE Python API. University of Alaska Fairbanks. Fairbanks, AK. March 21-22, 2024 (8 hours)

An Introduction to Cloud-Based Geospatial Analysis with Earth Engine and Geemap. The American Geophysical Union (AGU) Fall Meeting. San Francisco, California. Dec. 10, 2023 (4 hours)

Interactive Cloud Computing with Google Earth Engine and Geemap. NC State GIS Week. Raleigh, NC. Nov. 17, 2023 (2 hours)

Automated image segmentation with segment-geospatial. Annual GIS Day at Purdue University. West Lafayette, IN. Nov. 9, 2023 (2 hours)

Intro to Earth Engine in Python. Geo for Good Summit. Mountain View, CA. Oct. 9, 2023 (5 hours)

Interactive cloud computing with Google Earth Engine and geemap. The City+2023 International Conference. Perth, Australia. Sept. 9, 2023 (1 hour)

An Introduction to Cloud-Based Geospatial Analysis with Earth Engine and Geemap. SciPy 2023. Austin, Texas. Jul. 10-12, 2023 (4 hours)

Interactive Geospatial Analysis and Data Visualization with Geemap and Leafmap. EarthCube 2023. Los Angeles, California. Jun. 27-28, 2023 (1 hour)

Interactive cloud computing with Google Earth Engine and geemap. The AmericaView Membership Meeting. Lafayette, Louisiana. Mar. 13, 2023 (2 hours)

Creating Satellite Timelapse Animations and Analyzing Global Land Cover Datasets. The Fifth Training Workshop on Geospatial Big Data and Cloud Computing. Nov. 20, 2022 (3 hours)

Introduction to Earth Engine and Geemap. Nagoya University, Japan. Sept. 26, 2022 (4 hours)

Google Earth Engine and its applications in ecology. East China Normal University. Aug. 1-5, 2022 (20 hours)

Interactive mapping and analysis of geospatial big data using geemap and Google Earth Engine. Society for Range Management 2022 Annual Meeting. Feb. 8, 2022 (60 mins)

Interactive Mapping and Geospatial Analysis with Leafmap and Jupyter. YouthMappers. Nov. 9, 2021 (90 mins)

Interactive Mapping and Geospatial Analysis with Leafmap and Jupyter. The 3rd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs. Nov. 2, 2021 (30 mins)

Using Leafmap for Geospatial Analysis and Data Visualization. FOSS4G 2021. Sept. 27, 2021 (4 hours)

Geospatial analysis and cloud computing using open-source GIS. China University of Mining and Technology. July 12-16, 2021 (10 hours)

Introduction to Google Earth Engine and geemap. The Donana Biological Station, Spanish National Research Council, Spain. May 12-14, 2021 (15 hours)

Interactive mapping and analysis of geospatial big data using geemap and Google Earth Engine. GeoPython 2021. April 22, 2021 (1.5 hours)

Big Data in Watersheds: Integrating Wetlands and Floodplains in Hydrologic Modeling. By Adnan Rajib and Qiusheng Wu. The 7th Interagency Conference on Research in the Watersheds (ICRW). November 16, 2020 (3 hours)

LiDAR, Google Earth Engine & R Statistics. Sun Yat-sen University. July 19-21, 2017

Ohio URISA LiDAR Workshop. University of Cincinnati. November 14, 2012

Ohio URISA Imagery Workshop. University of Cincinnati. November 7, 2012

Ohio URISA LiDAR Workshop. University of Cincinnati. June 24, 2010

Working with HLS Data in QGIS: Access, Visualization, and Analysis. NASA’s Satellite Needs Working Group (SNWG) HLS Workshop. May 11, 2026

Democratizing GeoAI: Open-Source Tools for AI-Powered Geospatial Analysis and Visualization. Department of Geography, University at Buffalo. April 11, 2026

Leafmap and QGIS: Unlocking TerraScope Geospatial Data. VITO Radar Insights Seminar Series. March 5, 2026

GeoAI: Democratizing Artificial Intelligence for Geospatial Data Science. Earth and Energy Sciences Seminar, University of Louisiana at Lafayette. February 11, 2026

Democratizing GeoAI: Open-Source Tools for AI-Powered Geospatial Analysis and Visualization. FOSS4G Asia. January 22, 2026 (Keynote)

GeoAI: Integrating AI with Geospatial Data for Advanced Analysis and Visualization. GIS Awareness Week, AIRC x Ecologik Institute. November 23, 2025

GeoAI: Integrating AI with Geospatial Data for Advanced Analysis and Visualization. GIS Centre for Health, World Health Organization. November 20, 2025

Open Geospatial Data Science in Action: From Interactive Visualization to Scalable Analytics. School of Integrative Plant Science, Cornell University. October 30, 2025

GeoAI: Integrating AI with Geospatial Data for Advanced Analysis and Visualization. NASA JPL. October 22, 2025

Open Publishing in Action: Creating Interactive Books with Jupyter Book and MyST Markdown. International Open Access Week. October 21, 2025

Visualizing NASA OPERA datasets with Leafmap. NASA OPERA 5th Stakeholder Engagement Workshop. September 11, 2025

Automating surface water mapping with AI tools. Australian Water School. July 22, 2025

An Introduction to the GeoAI Python Package: Bridging AI and Geospatial Analysis. The 16th ISDE International Lectures. July 10, 2025

An Introduction to the GeoAI Python Package: Bridging AI and Geospatial Analysis. MDPI Webinar. June 25, 2025

Open Geospatial Data Science in Action: Interactive Visualizations and Data Analytics. Virginia Tech’s Virtual Speaker Series: Data Science Tools in Action. June 16, 2025

Open-source tools and open-access data for environmental monitoring -- A Demonstration Session. URISA Alberta Webinar Series. May 30, 2025

Open-access geospatial data and open-source AI for disaster response. Meta’s AI and Data for Hurricane Response Workshop. Austin, TX. May 16, 2025

Open-Source Software Tools for Interactive Cloud Computing and GeoAI. Department of Geography, Oklahoma State University. April 21, 2025

An Introduction to the GeoAI Python Package: Bridging AI and Geospatial Analysis. Department of Geography, University of Wisconsin, Madison. April 15, 2025

An Introduction to the GeoAI Python Package: Bridging AI and Geospatial Analysis. The 8th Symposium on Geospatial Big Data and Cloud Computing. April 11, 2025

Introduction to the Segment Anything Model (SAM) and SAMGeo. Taylor Geospatial Institute (TGI) GeoAI Working Group Meeting. Dec. 5, 2024

Advancing Remote Sensing Image Segmentation with the Segment Anything Model and SAMGeo. Houston Area GIS Day. Houston, TX. Nov. 22, 2024

Remote Sensing Image Segmentation with SAMGeo. Department of Geography, The Pennsylvania State University. Nov. 20, 2024

Cloud-Native Geospatial in Modern GIS Education. Cloud-Native Geospatial Forum Virtual Conference. Nov. 13, 2024 (Keynote)

Open-Source Python Package and Software Development in Geospatial Data Science. MIT Urban Mobility Lab. Nov. 6, 2024

Advancing GeoAI: Harnessing Google Gemini for Geospatial Data Exploration and SAM2 for Remote Sensing Image Segmentation. The 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. Atlanta, GA. October 29, 2024 (Keynote)

Navigating the Intersection of Geospatial Data, Cloud Computing, and Open-Source Solutions. The Bell Edwards Geographic Data Institute (BEGIN), University of St Andrews, UK. September 24, 2024

Geospatial Data Visualization and Analysis in the Cloud: An Open-Source Approach. H-GAC’s Geographic Data Workgroup Meeting. August 7, 2024

Mapping Surface Water Dynamics with Cloud Computing and Open Source Software. UNU-INWEH Science Talk. July 24, 2024

Mapping Surface Water Dynamics with Cloud Computing and Open Source Software. American Institute of Hydrology (AIH). July 18, 2024

Cloud Computing and Geovisualization with Open-Source Software. King’s College London. July 2, 2024 (Keynote)

Cloud Computing and Geovisualization with Open-Source Software. Guangzhou University. June 27, 2024

An Introduction to Geemap. GEE Developers Nairobi Meetup. May 23, 2024

Democratizing Cloud Computing with Open-Access Geospatial Data and Open-Source Tools. Department of Earth & Environment, Boston University. Boston, MA. May 1, 2024

Geospatial Analytics and AI: Leveraging Open Source for Social Good. AWS Atlassian Geek Talk Series. March 26, 2024

Cloud-Based Geospatial Analytics and AI: Unlocking the Power of Open-Source Tools for Environmental Monitoring. University of Louisiana at Lafayette. Lafayette, LA. March 14, 2024

Harnessing Open Source Tools for Cloud-based Geospatial Analysis and Visualization. Amazon Physical Stores Science Monthly Meeting. March 7, 2024

Interactive Search and Visualization of NASA Earth Data. NASA DAACs Tech Spotlight. February 26, 2024

Spatially Empowered: The Geospatial Journey of my Career. Center for Geospatial Analytics, North Carolina State University. Raleigh, NC. November 17, 2023

Open Geospatial Data Science: Making it Accessible to Everyone. Annual GIS Day at the University of Texas at Austin. Austin, TX. November 15, 2023 (Keynote)

Exploring the Power of Cloud Computing and Geospatial Analysis: A Beginner’s Guide for Everyone. Annual GIS Day at Purdue University. West Lafayette, IN. November 9, 2023 (Keynote)

Interactive Geospatial Analysis with Cloud Computing and Open Source Software. GeoMundus. October 21, 2023 (Keynote)

Automatic Segmentation of Remote Sensing Imagery with the Segment Anything Model. TNGIC East Fall Forum 2023. Chattanooga, TN. October 17, 2023 (Keynote)

Extending Earth Engine’s Python experience with geemap. Geo for Good Summit. Mountain View, CA. October 11, 2023

Exploring the Power of Cloud Computing and Geospatial Analysis: A Beginner’s Guide for Everyone. Data Science Symposium at the University of Colorado, Denver. October 6, 2023 (Keynote)

Fellowship and Award Opportunities for Tennessee Students Working on Remote Sensing Projects. TNGIC Webinar. October 3, 2023

Panel on Training the Next Generation of Geospatial Experts. Clark Center for Geospatial Analytics Strategic Launch Workshop. Worcester, MA. September 27, 2023

Automatic Segmentation of Remote Sensing Imagery with the Segment Anything Model. Department of Geography & Atmospheric Science, University of Kansas. September 15, 2023

An introduction to Earth Engine and geemap. Geography & Environmental Studies, University of New Mexico. September 12, 2023

From Earth to the Cloud: Harnessing Open Source Tools for Cloud-based Geospatial Analysis. Bureau of Economic Geology, University of Texas, Austin. September 8, 2023

Google Earth Engine and its Applications to Earth System Observation and Analysis. College of Agriculture and Life Sciences, Cornell University. August 23, 2023

Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model. Tensorflow Working Group. August 9, 2023

Interactive cloud computing and geospatial analysis with geemap and samgeo. Department of Interior Remote Sensing Workgroup. July 31, 2023

Exploring the Power of Cloud Computing and Geospatial Analysis: A Beginner’s Guide for Everyone. IEEE GRSS Moroccan Chapter Webinar. June 13, 2023

Unlocking the Power of Deep Learning Applications Using ArcGIS. Esri Education Webinar. May 25, 2023

Exploring the Power of Cloud Computing and Geospatial Analysis: A Beginner’s Guide for Everyone. Department of Geography & Sustainability, University of Tennessee. April 27, 2023

Introduction to Google Earth Engine Python API and geemap. University of Wyoming. April 4, 2023

Geospatial Cloud Computing and Data Visualization with Open Source Software. Department of Geography & Earth Sciences, University of North Carolina, Charlotte. March 31, 2023

Wetland Mapping with Cloud Computing and Open-Source Software. Department of Civil & Environmental Engineering, Louisiana State University. March 3, 2023

Interactive Mapping and Geospatial Analysis with Leafmap. Department of The Interior Open Source Geospatial Software Subcommittee Meeting. February 23, 2023

Cloud Computing and Interactive Mapping with Earth Engine and Geemap. NASA PO.DAAC Brown-bag seminar. February 1, 2023

Interactive computing and data visualization with Earth Engine and geemap. The Google Earth Engine Team’s Lunch and Learn. January 30, 2023

Interactive Cloud Computing with Earth Engine and Geemap. AmericaView’s Earth Sensors and Research Committee Meeting. January 26, 2023

Estimating flood extent using Google Earth Engine and geemap. MindsBehindMaps YouTube channel. January 23, 2023

Introduction to geemap and leafmap. FEMA Actuarial and Catastrophic Modeling Branch. January 13, 2023

A Comparative Analysis of Global Land Cover Datasets. Digital Twin and GeoAI workshop. The State Key Laboratory of Resources and Environmental Information System (LREIS), Chinese Academy of Sciences. December 21, 2022

Introduction to the Dynamic World Global Land Cover Datasets. The Fifth Training Workshop on Geospatial Big Data and Cloud Computing. November 18, 2022

Cloud Computing and Interactive Mapping with Geemap and Leafmap. Geography & Atmospheric Science, University of Kansas. November 16, 2022

Creating Satellite Timelapse Animations Using Earth Engine and Geemap. Omdena. October 27, 2022

Cloud Computing and Data Visualization with Earth Engine and Geemap. Department of Geosciences, Auburn University. October 24, 2022

Cloud Computing and Interactive Mapping with Earth Engine and Geemap. Manitoba GIS Users Group Annual Conference. October 18, 2022 (Keynote)

Interactive Cloud Computing and Data Visualization with Earth Engine and Geemap. Department of Geological and Environmental Sciences, Appalachian State University. September 30, 2022

Cloud Computing and Interactive Mapping with Earth Engine and Geemap. Department of Atmospheric and Earth Science, The University of Alabama in Huntsville. September 21, 2022

Introduction to Tennessee View. The Memphis Area Geographic Information Council (MAGIC). September 20, 2022

Cropland mapping with Google Earth Engine and geemap. The African Boot Camp: Application of GIS in Agriculture. September 15, 2022

LiDAR data analysis and visualization with whitebox and leafmap. LiDAR workshop on forest ecology, Peking University. July 28, 2022

Automated surface water mapping with cloud computing and open-source software. Virtual Summit in Data Science and Open Science for Aquatic Research (DSOS). July 28, 2022

Interactive mapping and geospatial analysis with geemap and leafmap. EDF RE Python User Group Meeting. July 7, 2022

Reproducible Hydrologic Science with Cloud Computing and Open-source Software. American Geophysical Union (AGU) Frontiers in Hydrology Meeting. June 23, 2022

Introduction to Tennessee View. The Tennessee Geographic Information Council (TNGIC). June 7, 2022

Using Python for geospatial analysis and interactive mapping. Geomatics Department at the University of Sine Saloum, Senegal. May 27, 2022

Introduction to Google Earth Engine Python API and geemap. University of Wyoming. April 5, 2022

Cloud Computing Platforms for Big Geospatial Data. NASA Open Source Science for the Earth System Observatory Mission Science Data Processing Study Workshops. March 1, 2022

Open Geospatial Data Science with Geemap and Leafmap. University of El Salvador. Jan. 26, 2022

Introducing geemap and interactive web apps. Geo for Good 2021 Virtual Meetup -- Makerspace. Nov. 19, 2021

Introducing geemap for geospatial big data analysis. College of Forest Resources and Environmental Science, Michigan Technological University. Oct. 18, 2021

Interactive Mapping and Geocomputation with Geemap and Leafmap. School of Surveying and Geospatial Sciences, Technical University of Kenya. Oct. 4, 2021

Interactive cloud computing using Google Earth Engine and geemap. Warnell School of Forestry and Natural Resources, University of Georgia. Sept. 24, 2021

Interactive Mapping and Geospatial Analysis in the Cloud Using Open-Source GIS. Canadian Geotechnical Society Webinar. June 24, 2021

Introduction to Google Earth Engine Python API and geemap. University of Wyoming. March 25, 2021

Interactive mapping and analysis of geospatial big data in the cloud with geemap and whitebox. Iowa State University. Feb. 26, 2021

Interactive mapping and cloud computing with Google Earth Engine and geemap. Remote Sensing IGEP Spring Seminar, Virginia Tech. Feb. 22, 2021

Interactive mapping and cloud computing with Google Earth Engine and geemap. Department of Geology and Geography, Georgia Southern University. Feb. 18, 2021

Mapping Wetland Inundation Dynamics in the Prairie Pothole Region using Google Earth Engine. NWI New Mapping Technologies Workshop. Jan. 26, 2021

Introduction to geemap: Interactive mapping and cloud computing with Google Earth Engine. China University of Mining and Technology. Jan. 10, 2021

Introduction to Google Earth Engine and geemap. MDPI Remote Sensing & IJGI Webinar. Jan. 8, 2021

Using Google Earth Engine and geemap for interactive mapping and analysis of large-scale geospatial datasets. The National Geographic Institute of Colombia. Nov. 26, 2020

Introduction to Earth Engine and geemap. College of Forest Resources and Environmental Science, Michigan Technological University. Nov. 13, 2020

Earth Engine and geemap. Tech Talk Lunch and Learn, New Light Technologies, Inc. (NLT). Nov. 10, 2020

Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. Peking University. Nov. 8, 2020

Google Earth Engine and its Applications to Earth System Observation and Analysis. Dr. Hanqin Tian’s Research Group, Auburn University. Oct. 29, 2020

Introduction to geemap: A Python package for interactive mapping and analysis with Earth Engine. Geo for Good Summit 2020 Public Sector Tract Lightning Talk. Oct. 21, 2020

Fine-resolution mapping of wetland inundation dynamics using Google Earth Engine. School of Forestry and Wildlife Sciences, Auburn University. Oct. 20, 2020

Interactive mapping and analysis with Google Earth Engine and open-source GIS. Department of Geography, University of Cincinnati. Oct. 2, 2020

Using Google Earth Engine for interactive mapping and analysis of large-scale geospatial datasets. Department of Geography, Penn State University. Sept. 25, 2020

Cloud computing and interactive mapping with geemap, Google Earth Engine, and QGIS. NASA’s International Space Apps Challenge. Sept. 19, 2020

Introduction to geemap. Earth Engine Virtual Meetup. Sept. 9, 2020

Using Earth Engine for spatiotemporal analysis and interactive mapping of geospatial big data. The 1st Global Young Scientist Forum (GYSF). August 19, 2020

Using Earth Engine for geospatial time-series analysis: A case study of automated surface water mapping. GeoInsider webinar. July 2, 2020

Mapping surface water and wetland inundation dynamics using Google Earth Engine. Workshop on machine learning and data fusion for aerial imagery interpretation of land use change. Northwestern University. June 10-11, 2020

Cloud computing and interactive mapping with Earth Engine and open-source GIS. GeoInsider webinar. May 28, 2020

Using the geemap Python package for interactive mapping with Google Earth Engine. Earth Engine Virtual Meetup. May 6, 2020

Integration of LiDAR data and aerial imagery for mapping surface water and wetland inundation dynamics. Appalachian State University. Boone, North Carolina. November 7, 2019

Mapping wetland inundation dynamics using Google Earth Engine. NWI New Mapping Technologies Workshop. Minneapolis, Minnesota. September 17, 2019

Mapping wetland inundation dynamics and wetland change using Google Earth Engine. Wetland Mapping Consortium (WMC) Webinar. August 21, 2019

Integration of LiDAR data and aerial imagery for mapping surface water and wetland inundation dynamics. University of Tennessee. Knoxville, Tennessee. January 15, 2019

Integrating LiDAR data and graph theory for terrain analysis and hydrologic connectivity modeling. University at Buffalo. Buffalo, New York. May 7, 2018

Wetland Mapping and Hydrologic Connectivity Modeling Using Multisource Remote Sensing Data. School of Environment and Natural Resources, The Ohio State University. Columbus, Ohio. January 9, 2018

Extracting terrain features and modeling wetland hydrology using LiDAR data. East China Normal University. Shanghai, China. July 24, 2017

Mapping depressional wetlands and modeling hydrologic connectivity using LiDAR data and aerial imagery. Guangdong Provincial Hydrology Bureau. Guangzhou, China. July 6, 2017

Mapping depressional wetlands and modeling hydrologic connectivity using LiDAR data and aerial imagery. School of Geography and Planning, Sun Yat-sen University. Guangzhou, China. June 28, 2017

Environmental Monitoring and Analysis with Geospatial Big Data Powered by Google Earth Engine. In the Data Science Seminar. Department of Mathematical Sciences, Binghamton University. April 20, 2017

GIS and Remote Sensing Applications in Wetland Mapping and Monitoring. In the Sustainable Communities TAE Colloquium. Binghamton University. February 2, 2017

Modeling hydrologic connectivity in wetland landscape using high-resolution LiDAR data. In the Geography Department Colloquium, Binghamton University. New York. February 8, 2016

An automated method to extract surface depressions from LiDAR DEMs. In the U.S. Environmental Protection Agency (EPA) Office of Research and Development (ORD) Geospatial Sciences User Group Meeting. Cincinnati, Ohio. July 15, 2015

Hydrologic and Ecological Analysis of Topographic Structure and Wetland Landscape. In the School of Architecture & Spatial Sciences Institute, University of Southern California. Los Angeles, California. March 30, 2015

Contour mapping of depressions in the Prairie Pothole Region. In the U.S. EPA-USGS Prairie Pothole Collaborative Research Meeting. USGS, Denver Federal Center, Lakewood, Colorado. March 24, 2015

Depression analysis in the Pipestem Watershed, North Dakota. In the U.S. EPA-USGS Prairie Pothole Collaborative Research Webinar. U.S. EPA, Cincinnati, Ohio. December 3, 2014

LiDAR remote sensing: technology, data analysis and applications. In the Ohio Urban & Regional Information Systems Association (URISA) Workshop. University of Cincinnati. Cincinnati, Ohio. November 14, 2012

Visualization and analysis of remote sensing imagery in Google Earth and ArcGIS. In the Ohio Urban & Regional Information Systems Association (URISA) Workshop. University of Cincinnati. Cincinnati, Ohio. November 7, 2012

Volumetric change analysis and feature extraction: coastal erosion and deposition volumes, buildings and tree extraction. In Ohio Urban & Regional Information Systems Association (URISA) Workshop. University of Cincinnati. Cincinnati, Ohio. June 24, 2010

Wu, Q. (2025). Wetland Mapping with Multi-temporal Aerial Imagery and GeoAI. AGU Fall Meeting. New Orleans, LA. December 18, 2025 (invited)

Wu, Q. (2025). Interactive Charting and 3D Mapping with Earth Engine Data. Geo for Good Summit NYC. August 26, 2025

Wu, Q. (2025). SamGeo: A Python Package for Segmenting Geospatial Data with Meta’s Segment Anything Model (SAM). Meta’s Open Source AI Summit. Austin, TX. May 14, 2025

Wu, Q. (2024). Interactive Analysis and Visualization of Geospatial Data with Leafmap. FOSS4G NA 2024. St Louis, MO. September 10, 2024

Wu, Q., Braaten, J., & Roy, S. (2024). Bridging the gap between Earth Engine and the Scientific Python Ecosystem. SciPy 2024. Tacoma, WA. July 11, 2024

Wu, Q. (2024). SAMGeo: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model. SciPy 2024. Tacoma, WA. July 11, 2024

Wu, Q. (2024). Interactive Visualization of Geospatial Data with Leafmap. TNGIC Annual Conference 2024. Burns, TN. April 11, 2024

Wu, Q., & Osco, L.P. (2023). Empowering Remote Sensing Image Analysis with Automated Segmentation using the Segment Anything Model. AGU Fall Meeting 2023. San Francisco, CA. December 11-15, 2023 (Invited)

Wu, Q., & Greenberg, S. (2023). Interactive Analysis of Satellite Imagery with Earth Engine and Geemap. SciPy 2023. Austin, TX. July 12-14, 2023

Wu, Q., Rajib, A., Lane, C.R., Christensen, J.R., & Golden, H.E. (2023). Developing a national dataset of surface depressions and potential water storage. The 8th Interagency Conference on Research in the Watersheds (ICRW). Corvallis, OR. June 5, 2023

Wu, Q. (2022). Introducing the geospatial Python package for interactive mapping and data visualization. In Geoinformatics 2022. August 15, 2022

Wu, Q. (2022). Using leafmap to visualize COG and STAC with minimal coding. In the Cloud-Native Geospatial Outreach Day. April 20, 2022

Wu, Q. (2021). Open Geospatial Data Science with Geemap and Leafmap. In the 2021 American Geophysical Union (AGU) Fall Meeting. December 17, 2021

Wu, Q. (2021). Interactive mapping and geospatial analysis using the open-source leafmap Python package. TNGIC Fall Forum. Nov. 3, 2021

Wu, Q. (2021). Automatic mapping of wetland inundation dynamics in the Prairie Pothole Region using Google Earth Engine. Society of Wetland Scientists Meeting. June 1, 2021

Wu, Q. (2020). Fine-Resolution Mapping of Wetland Inundation Dynamics in the Prairie Pothole Region of the United States. In the 2020 American Geophysical Union (AGU) Fall Meeting. December 7, 2020

Wu, Q., Lane, C.R., Lang, M., & Golden, H.E. (2020). Fine-resolution mapping of surface water and wetland inundation dynamics in the Prairie Pothole Region. In the 7th Interagency Conference on Research in the Watersheds (ICRW). Nov. 16, 2020

Wu, Q., & Erickson, T. (2020). How does Jupyter enable interactive mapping and analysis of planetary-scale geospatial datasets? In the JupyterCon Online Conference. October 12, 2020

Wu, Q. (2020). Automated mapping of surface water in the state of Tennessee using Google Earth Engine cloud computing. The Tennessee Geographic Information Council (TNGIC) Virtual Fall Forum. October 7, 2020

Camponovo, M., & Wu, Q. (2019). An Exploration of the Washington Post Opioid Dataset for Tennessee. In the Engagement and Outreach Conference at the University of Tennessee. Knoxville, TN. October 29, 2019

Camponovo, M., & Wu, Q. (2019). Opioids in Tennessee: An Exploration of the Washington Post Opioid Dataset for Tennessee. In the Eastern Regional Tennessee Geographic Information Council (TNGIC) Forum. Knoxville, TN. October 17, 2019

Wu, Q. (2019). Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method. In the Annual Meeting of the American Association of Geographers (AAG). Washington D.C. April 3, 2019

Wu, Q., & Lane, C.R. (2018). Integrating LiDAR data and Google Earth Engine for mapping watershed-scale wetland hydrological dynamics. In the 6th Interagency Conference on Research in the Watersheds (ICRW). Shepherdstown, WV. July 23, 2018

Wu, Q. (2017). A new approach for handling nested depressions in digital elevation models for hydrological analysis. In the 25th International Conference on Geoinformatics. Buffalo, NY. August 2, 2017

Wu, Q. (2017). Application of spatial statistics in crime analysis using R. In the 4th International Conference on Crime Geography and Crime Analysis. Guangzhou, China. July 6, 2017

Wu, Q., & Lane, C.R. (2017). A novel algorithm for delineating wetland depressions and mapping surface hydrologic flow pathways using LiDAR data. In the 2017 American Water Resources Association (AWRA) Spring Specialty Conference. Snowbird, Utah. April 30, 2017

Wu, Q., (2017). Mapping Depressional Wetlands and Surface Water Pathways Using LiDAR Data. In the Annual Meeting of the American Association of Geographers (AAG). Boston, Massachusetts. April 5, 2017

Wu, Q., & Lane, C.R. (2016). Delineation of Nested Wetland Catchments and Modeling of Hydrologic Connectivity Using LiDAR Data and Aerial Imagery. In the 2016 American Geophysical Union (AGU) Fall Meeting. San Francisco, California. December 12, 2016

Wu, Q. (2016). Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. In the Annual Meeting of the American Association of Geographers (AAG). San Francisco, California. March 29, 2016

Wu, Q. (2015). Automated sinkhole mapping based on high-resolution topographic data. In the Annual Meeting of the Middle States Division of the American Association of Geographers (AAG). Binghamton, New York. Oct. 2, 2015

Wu, Q., & Lane, C.R. (2015). Depressional Wetland Mapping in the Prairie Pothole Region. In Esri User Conference. San Diego. July 20, 2015

Wu, Q., & Liu, H. (2015). A localized contour tree method for deriving topological and geometric information of surface depressions based on LiDAR digital elevation models. In Remote Sensing Specialty Group’s Student Paper Competition, Annual Meeting of the American Association of Geographers (AAG). Chicago. April 21, 2015 (Finalist)

Liu, H., Wu, Q., & Gao, Y. (2014). Coastal geomorphological change analysis based on big LiDAR remote sensing data. In the 22nd International Conference on Geoinformatics. Kaohsiung, Taiwan. June 25, 2014

Wu, Q., & Liu, H. (2014). Kriged Kalman filtering for spatiotemporal soil moisture estimation. In the Annual Meeting of the American Association of Geographers (AAG). Tampa, Florida. April 8, 2014

Wu, Q., & Liu, H. (2013). Evaluation of SMOS Level 3 soil moisture products over the continental U.S. using in situ monitoring networks. In the Annual Meeting of the American Association of Geographers (AAG). Los Angeles. April 9, 2013

Wu, Q., & Liu, H. (2013). Evaluation of SMOS Level 3 soil moisture products using the International Soil Moisture Network. In University of Cincinnati 2013 Graduate School Poster Forum’s Student Poster Competition. University of Cincinnati. March 1, 2013 (Winner, 1st Place)

Liu, H., & Wu, Q. (2012). Assessment of storm-induced coastal morphological changes and damage using repeat LiDAR remote sensing surveys. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich, Germany. July 22, 2012

Wu, Q., & Liu, H. (2012). Analysis of spatiotemporal variability of soil moisture in the Ohio River Basin using L-band passive microwave data. In the Annual Meeting of the American Association of Geographers (AAG). New York. February 24, 2012

Wu, Q., Liu, H., & Gao, Y. (2011). A scale-space approach to beach profile feature extraction and change analysis. In the Annual Meeting of the American Association of Geographers (AAG). Seattle, Washington. April 12, 2011

Wu, Q., & Liu, H. (2010). Object-oriented representation and analysis of coastal changes for hurricane-induced damage assessment. In the OhioView SATELLITES Geospatial Technology Conference Student Poster Competition. Perrysburg, Ohio. April 27, 2010 (Winner, 2nd Place)

Wu, Q., & Liu, H. (2010). Object-oriented representation and analysis of coastal changes for hurricane-induced damage assessment. In the Geographic Information Systems and Science Specialty Group’s Student Paper Competition, Annual Meeting of the American Association of Geographers (AAG). Washington D.C. April 14, 2010 (Winner, 1st Place)