Drone mapping, Geographic Information Systems (GIS) and Environmental Science

Picture showing the instructor and some illustrations

Date/Time: November 13th 2022, 14:00 to 17:00

Location: SJSU College of Social Sciences - WSQ 113

Instructor: Dr. Bo Yang


Dr. Bo Yang is an Assistant Professor in the Department of Urban & Regional Planning at San José State University. He has an interdisciplinary education background with a B.S. in Applied Mathematics, an M.S. in Computer Science, and Ph.D. in Geography. Dr. Yang's research interests include GIS, Remote Sensing, Spatial Statistics, UAV/Drone Mapping for coastal science, Urban Heat Effect, and Citizen Science. His research focuses on spatial data science in GIS and remote sensing. He developed and implemented a new geostatistical (ST-Cokriging) method to assimilate multi-source data for forecasting and hindcasting spatio-temporal environmental & societal processes, such as satellite data fusion and sharpening, urban heat island effects measured with remote sensing, and urban crime prediction. Compared with previous image fusion/assimilation algorithms, this new machine learning method is more accurate with its additional capabilities in filling missing data and uncertainty estimates. He has been co-leading a collaborative NSF project to employ UAV/Drone for coastal management and conservation on the west coast, from Alaska to San Diego. He developed a quick scanning protocol to use high resolution drone image monitoring the spatial and temporal dynamics of the seagrass beds. He maintained an open-access UAV/drone training course and mentored over 20 undergraduate/graduate students through the NSF projects for GIS and drone mapping.



Workshop Description

The structure of our drone mapping class includes: how we assessed participants and provided training in drone operations; how we prepared, planned and realized flights; how we discussed air space regulations; how imagery was processed and analyzed; and how data was managed.

Self-study tutorials were assigned to the trainees for continued learning efforts for drone mapping. The training program is divided into 5 sections that were implemented in the field, and one post-training self-study guide to prepare participants for the FAA Part 107 examination. This examination is necessary for commercial-based drone operators to conduct flights in the United States.


Learning outcomes

  • Use a cost-effective UAV solution for environmental mapping and change detection.
  • Use GIS developing and diversifying a sustainable transportation workforce, using citizen science, remote sensing, and other cutting edge geospatial techniques to analyze anthropogenic impacts on climate change.
  • Create a web mapping application through ArcGIS Online.



Individual course fee:

Early bird registration (until Oct. 20, 2022): $275

Regular registration (From Oct. 21, 2022): $300

Full program fee (including all of the workshops):

Early bird registration (Until Oct. 20, 2022): $975

Regular registration (From Oct. 21, 2022): $1000


Register Here!