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.

With the support of Mary Brugo endowment, these workshops are FREE FOR SJSU STUDENTS!

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


SJSU Student Register Here for Free Seat


Non-SJSU; Register Here!